notes/lesson_9.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Προγραμματισμός με τη γλώσσα python\n",
    "### Alexandros Kanterakis [kantale@ics.forth.gr](mailto:kantale@ics.forth.gr)\n",
    "\n",
    "### Διάλεξη 9η, Τρίτη 10 Δεκεμβρίου 2019"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Το [pandas](http://pandas.pydata.org/) είναι μία βιβλιοθήκη σε python για ανάλυση δεδομένων. Υιοθετεί τη φιλοσοφία της Matlab και R για οργάνωση 2-διάστατων δεδομένων σε μία ειδική δομή που ονομάζεται data frame. Στη βιοπληροφορική το pandas συνήθως είναι χρήσιμο για να κάνοθμε εργασίες που συνήθως γίνονται με το excel. Τα πλεονεκτήματα του pandas είναι:\n",
    "\n",
    "* Πάρα πολύ γρήγορο. Είναι υλοποιημένο σε C (η python \"τρέχει\" από πάνω) και έχει πολύ καλή απόδοση για πίνακες που έχουν μέχρι και εκατομύτια από γραμμές.\n",
    "* Παρέχει ένα interface το οποίο προσομοιάζει τις βάσεις δεδομένων. Με αυτόν τον τρόπο μπορούμε να γράφουμε σύντομες εκφράσεις που κάνουν πολύπλοκες διεργασίες.\n",
    "* Υποστηρίζεται από τρίτες βιβλιοθήκες για visualization, Machine Learning (π.χ. [sci-kit](http://scikit-learn.org/stable/)) και στατιστική (π.χ. [statmodels](http://statsmodels.sourceforge.net/)).\n",
    "* Παρέχει δικές του μεθόδους για γρήγορο plotting και στατιστική ανάλυση\n",
    "* Εύκολη και γρήγορο input / output σε διάφορα formats (excel included)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Συνήθως κάνουμε import το pandas ως εξής:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Αν δεν υπάρχει εγκαταστημένων τότε μπορείτε να το εγκαταστείσετε ως εξής:\n",
    "\n",
    "```bash\n",
    "pip install pandas\n",
    "```\n",
    "\n",
    "Προσοχή. Πρέπει το ```pip``` να βρίσκεται στην ίδια τοποθεσία που βρίσκεται και η python"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Για τη παρούσα διάλεξη θα χρησιμοποιήσουμε έναν κατάλογο από [GWA studies](https://en.wikipedia.org/wiki/Genome-wide_association_study). O κατάλογος βρίσκεται σε αυτό το link: https://www.ebi.ac.uk/gwas/api/search/downloads/full για να το κατεβάσετε τοπικά τρέξτε:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2016-12-15 14:50:41--  https://www.ebi.ac.uk/gwas/api/search/downloads/full\n",
      "Resolving www.ebi.ac.uk... 193.62.193.80\n",
      "Connecting to www.ebi.ac.uk|193.62.193.80|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: unspecified [text/tsv]\n",
      "Saving to: ‘gwas.tsv’\n",
      "\n",
      "gwas.tsv                [          <=>       ]  17.93M  3.90MB/s    in 5.3s    \n",
      "\n",
      "2016-12-15 14:50:47 (3.36 MB/s) - ‘gwas.tsv’ saved [18796575]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!wget -O gwas.tsv  \"https://www.ebi.ac.uk/gwas/api/search/downloads/full\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Η παραπάνω εντολή σώζει τον κατάλογο στο αρχείο: ```gwas.tsv```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Για να το φορτώσουμε τρέχουμε:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/alexandroskanterakis/anaconda3/envs/arkalos/lib/python3.6/site-packages/IPython/core/interactiveshell.py:2728: DtypeWarning: Columns (23,27) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  interactivity=interactivity, compiler=compiler, result=result)\n"
     ]
    }
   ],
   "source": [
    "gwas = pd.read_csv('gwas.tsv', sep='\\t')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Για να τυπώσουμε μία σύνοψη (πρώτες και τελευταίες γραμμές) των δεδομένων τρέχουμε: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DATE ADDED TO CATALOG</th>\n",
       "      <th>PUBMEDID</th>\n",
       "      <th>FIRST AUTHOR</th>\n",
       "      <th>DATE</th>\n",
       "      <th>JOURNAL</th>\n",
       "      <th>LINK</th>\n",
       "      <th>STUDY</th>\n",
       "      <th>DISEASE/TRAIT</th>\n",
       "      <th>INITIAL SAMPLE SIZE</th>\n",
       "      <th>REPLICATION SAMPLE SIZE</th>\n",
       "      <th>...</th>\n",
       "      <th>CONTEXT</th>\n",
       "      <th>INTERGENIC</th>\n",
       "      <th>RISK ALLELE FREQUENCY</th>\n",
       "      <th>P-VALUE</th>\n",
       "      <th>PVALUE_MLOG</th>\n",
       "      <th>P-VALUE (TEXT)</th>\n",
       "      <th>OR or BETA</th>\n",
       "      <th>95% CI (TEXT)</th>\n",
       "      <th>PLATFORM [SNPS PASSING QC]</th>\n",
       "      <th>CNV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2009-09-28</td>\n",
       "      <td>18403759</td>\n",
       "      <td>Ober C</td>\n",
       "      <td>2008-04-09</td>\n",
       "      <td>N Engl J Med</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18403759</td>\n",
       "      <td>Effect of variation in CHI3L1 on serum YKL-40 ...</td>\n",
       "      <td>YKL-40 levels</td>\n",
       "      <td>632 Hutterite individuals</td>\n",
       "      <td>443 European ancestry cases, 491 European ance...</td>\n",
       "      <td>...</td>\n",
       "      <td>upstream_gene_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.29</td>\n",
       "      <td>1e-13</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.300000</td>\n",
       "      <td>[NR] ng/ml decrease</td>\n",
       "      <td>Affymetrix [290325]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18369459</td>\n",
       "      <td>Liu Y</td>\n",
       "      <td>2008-04-04</td>\n",
       "      <td>PLoS Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18369459</td>\n",
       "      <td>A genome-wide association study of psoriasis a...</td>\n",
       "      <td>Psoriasis</td>\n",
       "      <td>218 European ancestry cases, 519 European ance...</td>\n",
       "      <td>1,153 European ancestry cases, 1,217 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.65</td>\n",
       "      <td>2e-06</td>\n",
       "      <td>5.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.410000</td>\n",
       "      <td>[1.22-1.61]</td>\n",
       "      <td>Illumina [305983]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18385676</td>\n",
       "      <td>Amos CI</td>\n",
       "      <td>2008-04-03</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18385676</td>\n",
       "      <td>Genome-wide association scan of tag SNPs ident...</td>\n",
       "      <td>Lung cancer</td>\n",
       "      <td>1,154 European ancestry cases, 1,137 European ...</td>\n",
       "      <td>2,724 European ancestry cases, 3,694 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>3e-18</td>\n",
       "      <td>17.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.300000</td>\n",
       "      <td>[1.15-1.47]</td>\n",
       "      <td>Illumina [317498]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18385676</td>\n",
       "      <td>Amos CI</td>\n",
       "      <td>2008-04-03</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18385676</td>\n",
       "      <td>Genome-wide association scan of tag SNPs ident...</td>\n",
       "      <td>Lung cancer</td>\n",
       "      <td>1,154 European ancestry cases, 1,137 European ...</td>\n",
       "      <td>2,724 European ancestry cases, 3,694 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>downstream_gene_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>7e-06</td>\n",
       "      <td>5.154902</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.220000</td>\n",
       "      <td>[1.10-1.35]</td>\n",
       "      <td>Illumina [317498]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18385676</td>\n",
       "      <td>Amos CI</td>\n",
       "      <td>2008-04-03</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18385676</td>\n",
       "      <td>Genome-wide association scan of tag SNPs ident...</td>\n",
       "      <td>Lung cancer</td>\n",
       "      <td>1,154 European ancestry cases, 1,137 European ...</td>\n",
       "      <td>2,724 European ancestry cases, 3,694 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>8e-06</td>\n",
       "      <td>5.096910</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.160000</td>\n",
       "      <td>[1.05-1.28]</td>\n",
       "      <td>Illumina [317498]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18385738</td>\n",
       "      <td>Hung RJ</td>\n",
       "      <td>2008-04-03</td>\n",
       "      <td>Nature</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18385738</td>\n",
       "      <td>A susceptibility locus for lung cancer maps to...</td>\n",
       "      <td>Lung cancer</td>\n",
       "      <td>1,926 European ance other ancestry cases, 2,52...</td>\n",
       "      <td>332 European ancestry cases, 462 European ance...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.34</td>\n",
       "      <td>5e-20</td>\n",
       "      <td>19.301030</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.300000</td>\n",
       "      <td>[1.23-1.37]</td>\n",
       "      <td>Illumina [310023]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2008-09-16</td>\n",
       "      <td>18385739</td>\n",
       "      <td>Thorgeirsson TE</td>\n",
       "      <td>2008-04-03</td>\n",
       "      <td>Nature</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18385739</td>\n",
       "      <td>A variant associated with nicotine dependence,...</td>\n",
       "      <td>Nicotine dependence</td>\n",
       "      <td>10,995 European ancestry individuals</td>\n",
       "      <td>4,848 European ancestry individuals</td>\n",
       "      <td>...</td>\n",
       "      <td>synonymous_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.35</td>\n",
       "      <td>6e-20</td>\n",
       "      <td>19.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>[0.08-0.12] cigarettes per day increase</td>\n",
       "      <td>Illumina [306207]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18372901</td>\n",
       "      <td>Tenesa A</td>\n",
       "      <td>2008-03-30</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18372901</td>\n",
       "      <td>Genome-wide association scan identifies a colo...</td>\n",
       "      <td>Colorectal cancer</td>\n",
       "      <td>981 European ancestry cases, 1,002 European an...</td>\n",
       "      <td>10,287 European ancestry cases, 10,401 Europea...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.18</td>\n",
       "      <td>9e-26</td>\n",
       "      <td>25.045757</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.190000</td>\n",
       "      <td>[1.15-1.23]</td>\n",
       "      <td>Illumina [541628]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18372901</td>\n",
       "      <td>Tenesa A</td>\n",
       "      <td>2008-03-30</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18372901</td>\n",
       "      <td>Genome-wide association scan identifies a colo...</td>\n",
       "      <td>Colorectal cancer</td>\n",
       "      <td>981 European ancestry cases, 1,002 European an...</td>\n",
       "      <td>10,287 European ancestry cases, 10,401 Europea...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.43</td>\n",
       "      <td>6e-10</td>\n",
       "      <td>9.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.110000</td>\n",
       "      <td>[1.08-1.15]</td>\n",
       "      <td>Illumina [541628]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18372901</td>\n",
       "      <td>Tenesa A</td>\n",
       "      <td>2008-03-30</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18372901</td>\n",
       "      <td>Genome-wide association scan identifies a colo...</td>\n",
       "      <td>Colorectal cancer</td>\n",
       "      <td>981 European ancestry cases, 1,002 European an...</td>\n",
       "      <td>10,287 European ancestry cases, 10,401 Europea...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.52</td>\n",
       "      <td>8e-28</td>\n",
       "      <td>27.096910</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.200000</td>\n",
       "      <td>[1.16-1.24]</td>\n",
       "      <td>Illumina [541628]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18372905</td>\n",
       "      <td>Tomlinson IP</td>\n",
       "      <td>2008-03-30</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18372905</td>\n",
       "      <td>A genome-wide association study identifies col...</td>\n",
       "      <td>Colorectal cancer</td>\n",
       "      <td>922 European ancestry cases, 927 European ance...</td>\n",
       "      <td>17,089 European ancestry cases, 16,862 Europea...</td>\n",
       "      <td>...</td>\n",
       "      <td>upstream_gene_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.67</td>\n",
       "      <td>3e-13</td>\n",
       "      <td>12.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.120000</td>\n",
       "      <td>[1.10-1.16]</td>\n",
       "      <td>Illumina [547647]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18372905</td>\n",
       "      <td>Tomlinson IP</td>\n",
       "      <td>2008-03-30</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18372905</td>\n",
       "      <td>A genome-wide association study identifies col...</td>\n",
       "      <td>Colorectal cancer</td>\n",
       "      <td>922 European ancestry cases, 927 European ance...</td>\n",
       "      <td>17,089 European ancestry cases, 16,862 Europea...</td>\n",
       "      <td>...</td>\n",
       "      <td>regulatory_region_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.07</td>\n",
       "      <td>3e-18</td>\n",
       "      <td>17.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.270000</td>\n",
       "      <td>[1.20-1.34]</td>\n",
       "      <td>Illumina [547647]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18372903</td>\n",
       "      <td>Zeggini E</td>\n",
       "      <td>2008-03-30</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18372903</td>\n",
       "      <td>Meta-analysis of genome-wide association data ...</td>\n",
       "      <td>Type 2 diabetes</td>\n",
       "      <td>4,549 European ancestry cases, 5,579 European ...</td>\n",
       "      <td>24,194 European ancestry cases, 55,598 Europea...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.50</td>\n",
       "      <td>5e-14</td>\n",
       "      <td>13.301030</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.100000</td>\n",
       "      <td>[1.07-1.13]</td>\n",
       "      <td>Affymetrix, Illumina [2202892] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18372903</td>\n",
       "      <td>Zeggini E</td>\n",
       "      <td>2008-03-30</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18372903</td>\n",
       "      <td>Meta-analysis of genome-wide association data ...</td>\n",
       "      <td>Type 2 diabetes</td>\n",
       "      <td>4,549 European ancestry cases, 5,579 European ...</td>\n",
       "      <td>24,194 European ancestry cases, 55,598 Europea...</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.18</td>\n",
       "      <td>1e-10</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.110000</td>\n",
       "      <td>[1.07-1.14]</td>\n",
       "      <td>Affymetrix, Illumina [2202892] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18372903</td>\n",
       "      <td>Zeggini E</td>\n",
       "      <td>2008-03-30</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18372903</td>\n",
       "      <td>Meta-analysis of genome-wide association data ...</td>\n",
       "      <td>Type 2 diabetes</td>\n",
       "      <td>4,549 European ancestry cases, 5,579 European ...</td>\n",
       "      <td>24,194 European ancestry cases, 55,598 Europea...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.27</td>\n",
       "      <td>1e-09</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.090000</td>\n",
       "      <td>[1.06-1.12]</td>\n",
       "      <td>Affymetrix, Illumina [2202892] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18372903</td>\n",
       "      <td>Zeggini E</td>\n",
       "      <td>2008-03-30</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18372903</td>\n",
       "      <td>Meta-analysis of genome-wide association data ...</td>\n",
       "      <td>Type 2 diabetes</td>\n",
       "      <td>4,549 European ancestry cases, 5,579 European ...</td>\n",
       "      <td>24,194 European ancestry cases, 55,598 Europea...</td>\n",
       "      <td>...</td>\n",
       "      <td>missense_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.90</td>\n",
       "      <td>1e-09</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.150000</td>\n",
       "      <td>[1.10-1.20]</td>\n",
       "      <td>Affymetrix, Illumina [2202892] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18372903</td>\n",
       "      <td>Zeggini E</td>\n",
       "      <td>2008-03-30</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18372903</td>\n",
       "      <td>Meta-analysis of genome-wide association data ...</td>\n",
       "      <td>Type 2 diabetes</td>\n",
       "      <td>4,549 European ancestry cases, 5,579 European ...</td>\n",
       "      <td>24,194 European ancestry cases, 55,598 Europea...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.76</td>\n",
       "      <td>1e-08</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.090000</td>\n",
       "      <td>[1.06-1.12]</td>\n",
       "      <td>Affymetrix, Illumina [2202892] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18326623</td>\n",
       "      <td>Gold B</td>\n",
       "      <td>2008-03-11</td>\n",
       "      <td>Proc Natl Acad Sci U S A</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18326623</td>\n",
       "      <td>Genome-wide association study provides evidenc...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>249 Ashkenazi Jewish non-BRCA1/2 carriers case...</td>\n",
       "      <td>1,193 Ashkenazi Jewish non-BRCA1/2 carriers  c...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.21</td>\n",
       "      <td>3e-08</td>\n",
       "      <td>7.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.410000</td>\n",
       "      <td>[1.25-1.59]</td>\n",
       "      <td>Affymetrix [150080]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2008-07-22</td>\n",
       "      <td>18332876</td>\n",
       "      <td>Kirov G</td>\n",
       "      <td>2008-03-11</td>\n",
       "      <td>Mol Psychiatry</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18332876</td>\n",
       "      <td>A genome-wide association study in 574 schizop...</td>\n",
       "      <td>Schizophrenia</td>\n",
       "      <td>574 European ancestry trios, 605 European ance...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.91</td>\n",
       "      <td>1e-06</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Illumina [~ 550000]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2008-09-17</td>\n",
       "      <td>18327256</td>\n",
       "      <td>Doring A</td>\n",
       "      <td>2008-03-09</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18327256</td>\n",
       "      <td>SLC2A9 influences uric acid concentrations wit...</td>\n",
       "      <td>Urate levels</td>\n",
       "      <td>1,644 European ancestry individuals</td>\n",
       "      <td>9,947 European ancestry individuals</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.40</td>\n",
       "      <td>3e-70</td>\n",
       "      <td>69.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.350000</td>\n",
       "      <td>[NR] mg/dl decrease in uric acid</td>\n",
       "      <td>Affymetrix [335152]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2008-09-17</td>\n",
       "      <td>18327257</td>\n",
       "      <td>Vitart V</td>\n",
       "      <td>2008-03-09</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18327257</td>\n",
       "      <td>SLC2A9 is a newly identified urate transporter...</td>\n",
       "      <td>Urate levels</td>\n",
       "      <td>794 European ancestry individuals</td>\n",
       "      <td>706 European ancestry individuals</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.31</td>\n",
       "      <td>3e-09</td>\n",
       "      <td>8.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.880000</td>\n",
       "      <td>[NR] uM decrease in uric acid [females only]</td>\n",
       "      <td>Illumina [308140]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18311140</td>\n",
       "      <td>Hunt KA</td>\n",
       "      <td>2008-03-02</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18311140</td>\n",
       "      <td>Newly identified genetic risk variants for cel...</td>\n",
       "      <td>Celiac disease</td>\n",
       "      <td>767 European ancestry cases, 1,422 European an...</td>\n",
       "      <td>1,643 European ancestry cases, 3,406 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>upstream_gene_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>3e-11</td>\n",
       "      <td>10.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.390000</td>\n",
       "      <td>[1.26-1.53]</td>\n",
       "      <td>Illumina [310605]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18311140</td>\n",
       "      <td>Hunt KA</td>\n",
       "      <td>2008-03-02</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18311140</td>\n",
       "      <td>Newly identified genetic risk variants for cel...</td>\n",
       "      <td>Celiac disease</td>\n",
       "      <td>767 European ancestry cases, 1,422 European an...</td>\n",
       "      <td>1,643 European ancestry cases, 3,406 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>4e-09</td>\n",
       "      <td>8.397940</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.280000</td>\n",
       "      <td>[1.18-1.39]</td>\n",
       "      <td>Illumina [310605]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18311140</td>\n",
       "      <td>Hunt KA</td>\n",
       "      <td>2008-03-02</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18311140</td>\n",
       "      <td>Newly identified genetic risk variants for cel...</td>\n",
       "      <td>Celiac disease</td>\n",
       "      <td>767 European ancestry cases, 1,422 European an...</td>\n",
       "      <td>1,643 European ancestry cases, 3,406 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>1e-09</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.350000</td>\n",
       "      <td>[1.23-1.49]</td>\n",
       "      <td>Illumina [310605]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18311140</td>\n",
       "      <td>Hunt KA</td>\n",
       "      <td>2008-03-02</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18311140</td>\n",
       "      <td>Newly identified genetic risk variants for cel...</td>\n",
       "      <td>Celiac disease</td>\n",
       "      <td>767 European ancestry cases, 1,422 European an...</td>\n",
       "      <td>1,643 European ancestry cases, 3,406 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>5e-09</td>\n",
       "      <td>8.301030</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.230000</td>\n",
       "      <td>[1.15-1.32]</td>\n",
       "      <td>Illumina [310605]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18311140</td>\n",
       "      <td>Hunt KA</td>\n",
       "      <td>2008-03-02</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18311140</td>\n",
       "      <td>Newly identified genetic risk variants for cel...</td>\n",
       "      <td>Celiac disease</td>\n",
       "      <td>767 European ancestry cases, 1,422 European an...</td>\n",
       "      <td>1,643 European ancestry cases, 3,406 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>5_prime_UTR_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>7e-08</td>\n",
       "      <td>7.154902</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.210000</td>\n",
       "      <td>[1.13-1.30]</td>\n",
       "      <td>Illumina [310605]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18264097</td>\n",
       "      <td>Eeles RA</td>\n",
       "      <td>2008-02-10</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18264097</td>\n",
       "      <td>Multiple newly identified loci associated with...</td>\n",
       "      <td>Prostate cancer</td>\n",
       "      <td>1,854 European ancestry cases, 1,894 European ...</td>\n",
       "      <td>3,268 European ancestry cases, 3,366 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>upstream_gene_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.40</td>\n",
       "      <td>9e-29</td>\n",
       "      <td>28.045757</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.250000</td>\n",
       "      <td>[1.17-1.34]</td>\n",
       "      <td>Illumina [541129]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18264097</td>\n",
       "      <td>Eeles RA</td>\n",
       "      <td>2008-02-10</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18264097</td>\n",
       "      <td>Multiple newly identified loci associated with...</td>\n",
       "      <td>Prostate cancer</td>\n",
       "      <td>1,854 European ancestry cases, 1,894 European ...</td>\n",
       "      <td>3,268 European ancestry cases, 3,366 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>upstream_gene_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.85</td>\n",
       "      <td>2e-18</td>\n",
       "      <td>17.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.200000</td>\n",
       "      <td>[1.10-1.33]</td>\n",
       "      <td>Illumina [541129]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18264097</td>\n",
       "      <td>Eeles RA</td>\n",
       "      <td>2008-02-10</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18264097</td>\n",
       "      <td>Multiple newly identified loci associated with...</td>\n",
       "      <td>Prostate cancer</td>\n",
       "      <td>1,854 European ancestry cases, 1,894 European ...</td>\n",
       "      <td>3,268 European ancestry cases, 3,366 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.51</td>\n",
       "      <td>2e-12</td>\n",
       "      <td>11.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.190000</td>\n",
       "      <td>[1.11-1.27]</td>\n",
       "      <td>Illumina [541129]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18264097</td>\n",
       "      <td>Eeles RA</td>\n",
       "      <td>2008-02-10</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18264097</td>\n",
       "      <td>Multiple newly identified loci associated with...</td>\n",
       "      <td>Prostate cancer</td>\n",
       "      <td>1,854 European ancestry cases, 1,894 European ...</td>\n",
       "      <td>3,268 European ancestry cases, 3,366 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.29</td>\n",
       "      <td>6e-10</td>\n",
       "      <td>9.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.170000</td>\n",
       "      <td>[1.08-1.26]</td>\n",
       "      <td>Illumina [541129]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64209</th>\n",
       "      <td>2017-12-20</td>\n",
       "      <td>29170203</td>\n",
       "      <td>Alonso N</td>\n",
       "      <td>2017-11-23</td>\n",
       "      <td>Ann Rheum Dis</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29170203</td>\n",
       "      <td>Identification of a novel locus on chromosome ...</td>\n",
       "      <td>Fractures (vertebral)</td>\n",
       "      <td>1,553 European ancestry cases, 4,340 European ...</td>\n",
       "      <td>694 European ancestry cases, 2,105 European an...</td>\n",
       "      <td>...</td>\n",
       "      <td>downstream_gene_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.03</td>\n",
       "      <td>1e-09</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.750000</td>\n",
       "      <td>[1.45-2.12]</td>\n",
       "      <td>Affymetrix, Illumina [2366456] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64210</th>\n",
       "      <td>2017-12-20</td>\n",
       "      <td>29170203</td>\n",
       "      <td>Alonso N</td>\n",
       "      <td>2017-11-23</td>\n",
       "      <td>Ann Rheum Dis</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29170203</td>\n",
       "      <td>Identification of a novel locus on chromosome ...</td>\n",
       "      <td>Fractures (vertebral)</td>\n",
       "      <td>1,553 European ancestry cases, 4,340 European ...</td>\n",
       "      <td>694 European ancestry cases, 2,105 European an...</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.29</td>\n",
       "      <td>4e-07</td>\n",
       "      <td>6.397940</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.220000</td>\n",
       "      <td>[1.13-1.32]</td>\n",
       "      <td>Affymetrix, Illumina [2366456] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64211</th>\n",
       "      <td>2017-12-20</td>\n",
       "      <td>29170203</td>\n",
       "      <td>Alonso N</td>\n",
       "      <td>2017-11-23</td>\n",
       "      <td>Ann Rheum Dis</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29170203</td>\n",
       "      <td>Identification of a novel locus on chromosome ...</td>\n",
       "      <td>Fractures (vertebral)</td>\n",
       "      <td>1,553 European ancestry cases, 4,340 European ...</td>\n",
       "      <td>694 European ancestry cases, 2,105 European an...</td>\n",
       "      <td>...</td>\n",
       "      <td>3_prime_UTR_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.23</td>\n",
       "      <td>3e-07</td>\n",
       "      <td>6.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.230000</td>\n",
       "      <td>[1.13-1.33]</td>\n",
       "      <td>Affymetrix, Illumina [2366456] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64212</th>\n",
       "      <td>2017-12-20</td>\n",
       "      <td>29109912</td>\n",
       "      <td>Rawofi L</td>\n",
       "      <td>2017-11-02</td>\n",
       "      <td>PeerJ</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29109912</td>\n",
       "      <td>Genome-wide association study of pigmentary tr...</td>\n",
       "      <td>Iris color (a* coordinate)</td>\n",
       "      <td>377 East Asian ancestry individuals</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.602</td>\n",
       "      <td>6e-06</td>\n",
       "      <td>5.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.395000</td>\n",
       "      <td>[0.25-0.54] unit decrease</td>\n",
       "      <td>Illumina [at least 520076] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64213</th>\n",
       "      <td>2017-12-20</td>\n",
       "      <td>29109912</td>\n",
       "      <td>Rawofi L</td>\n",
       "      <td>2017-11-02</td>\n",
       "      <td>PeerJ</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29109912</td>\n",
       "      <td>Genome-wide association study of pigmentary tr...</td>\n",
       "      <td>Iris color (a* coordinate)</td>\n",
       "      <td>377 East Asian ancestry individuals</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.084</td>\n",
       "      <td>9e-06</td>\n",
       "      <td>5.045757</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.643000</td>\n",
       "      <td>[0.37-0.92] unit increase</td>\n",
       "      <td>Illumina [at least 520076] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64214</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>26545403</td>\n",
       "      <td>Bei JX</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>Cancer Epidemiol Biomarkers Prev</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/26545403</td>\n",
       "      <td>A GWAS Meta-analysis and Replication Study Ide...</td>\n",
       "      <td>Nasopharyngeal carcinoma</td>\n",
       "      <td>2,152 Chinese ancestry cases, 3,740 Chinese an...</td>\n",
       "      <td>4,716 Chinese ancestry cases, 5,379 Chinese an...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>6e-13</td>\n",
       "      <td>12.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.234568</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Illumina [Sequenom custom array used in replic...</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64215</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>26545403</td>\n",
       "      <td>Bei JX</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>Cancer Epidemiol Biomarkers Prev</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/26545403</td>\n",
       "      <td>A GWAS Meta-analysis and Replication Study Ide...</td>\n",
       "      <td>Nasopharyngeal carcinoma</td>\n",
       "      <td>2,152 Chinese ancestry cases, 3,740 Chinese an...</td>\n",
       "      <td>4,716 Chinese ancestry cases, 5,379 Chinese an...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>2e-12</td>\n",
       "      <td>11.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.190476</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Illumina [Sequenom custom array used in replic...</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64216</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>26545403</td>\n",
       "      <td>Bei JX</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>Cancer Epidemiol Biomarkers Prev</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/26545403</td>\n",
       "      <td>A GWAS Meta-analysis and Replication Study Ide...</td>\n",
       "      <td>Nasopharyngeal carcinoma</td>\n",
       "      <td>2,152 Chinese ancestry cases, 3,740 Chinese an...</td>\n",
       "      <td>4,716 Chinese ancestry cases, 5,379 Chinese an...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>5e-10</td>\n",
       "      <td>9.301030</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.160000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Illumina [Sequenom custom array used in replic...</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64217</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>26545403</td>\n",
       "      <td>Bei JX</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>Cancer Epidemiol Biomarkers Prev</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/26545403</td>\n",
       "      <td>A GWAS Meta-analysis and Replication Study Ide...</td>\n",
       "      <td>Nasopharyngeal carcinoma</td>\n",
       "      <td>2,152 Chinese ancestry cases, 3,740 Chinese an...</td>\n",
       "      <td>4,716 Chinese ancestry cases, 5,379 Chinese an...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>3e-08</td>\n",
       "      <td>7.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Illumina [Sequenom custom array used in replic...</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64218</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>26545403</td>\n",
       "      <td>Bei JX</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>Cancer Epidemiol Biomarkers Prev</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/26545403</td>\n",
       "      <td>A GWAS Meta-analysis and Replication Study Ide...</td>\n",
       "      <td>Nasopharyngeal carcinoma</td>\n",
       "      <td>2,152 Chinese ancestry cases, 3,740 Chinese an...</td>\n",
       "      <td>4,716 Chinese ancestry cases, 5,379 Chinese an...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>1e-06</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.190476</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Illumina [Sequenom custom array used in replic...</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64219</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>26545403</td>\n",
       "      <td>Bei JX</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>Cancer Epidemiol Biomarkers Prev</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/26545403</td>\n",
       "      <td>A GWAS Meta-analysis and Replication Study Ide...</td>\n",
       "      <td>Nasopharyngeal carcinoma</td>\n",
       "      <td>2,152 Chinese ancestry cases, 3,740 Chinese an...</td>\n",
       "      <td>4,716 Chinese ancestry cases, 5,379 Chinese an...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>7e-07</td>\n",
       "      <td>6.154902</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.149425</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Illumina [Sequenom custom array used in replic...</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64220</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>26545403</td>\n",
       "      <td>Bei JX</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>Cancer Epidemiol Biomarkers Prev</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/26545403</td>\n",
       "      <td>A GWAS Meta-analysis and Replication Study Ide...</td>\n",
       "      <td>Nasopharyngeal carcinoma</td>\n",
       "      <td>2,152 Chinese ancestry cases, 3,740 Chinese an...</td>\n",
       "      <td>4,716 Chinese ancestry cases, 5,379 Chinese an...</td>\n",
       "      <td>...</td>\n",
       "      <td>3_prime_UTR_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>8e-07</td>\n",
       "      <td>6.096910</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.162791</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Illumina [Sequenom custom array used in replic...</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64221</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>26545403</td>\n",
       "      <td>Bei JX</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>Cancer Epidemiol Biomarkers Prev</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/26545403</td>\n",
       "      <td>A GWAS Meta-analysis and Replication Study Ide...</td>\n",
       "      <td>Nasopharyngeal carcinoma</td>\n",
       "      <td>2,152 Chinese ancestry cases, 3,740 Chinese an...</td>\n",
       "      <td>4,716 Chinese ancestry cases, 5,379 Chinese an...</td>\n",
       "      <td>...</td>\n",
       "      <td>upstream_gene_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>4e-06</td>\n",
       "      <td>5.397940</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.120000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Illumina [Sequenom custom array used in replic...</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64222</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>29059430</td>\n",
       "      <td>Morton LM</td>\n",
       "      <td>2017-11-01</td>\n",
       "      <td>J Natl Cancer Inst</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29059430</td>\n",
       "      <td>Genome-Wide Association Study to Identify Susc...</td>\n",
       "      <td>Breast cancer in childhood cancer survivors</td>\n",
       "      <td>207 European ancestry female cases, 2,774 Euro...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0E-4</td>\n",
       "      <td>6e-07</td>\n",
       "      <td>6.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affymetrix, Illumina [16958466] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64223</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>29059430</td>\n",
       "      <td>Morton LM</td>\n",
       "      <td>2017-11-01</td>\n",
       "      <td>J Natl Cancer Inst</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29059430</td>\n",
       "      <td>Genome-Wide Association Study to Identify Susc...</td>\n",
       "      <td>Breast cancer in childhood cancer survivors</td>\n",
       "      <td>207 European ancestry female cases, 2,774 Euro...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.03</td>\n",
       "      <td>4e-07</td>\n",
       "      <td>6.397940</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.230000</td>\n",
       "      <td>[1.52-3.26]</td>\n",
       "      <td>Affymetrix, Illumina [16958466] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64224</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>29059430</td>\n",
       "      <td>Morton LM</td>\n",
       "      <td>2017-11-01</td>\n",
       "      <td>J Natl Cancer Inst</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29059430</td>\n",
       "      <td>Genome-Wide Association Study to Identify Susc...</td>\n",
       "      <td>Breast cancer in childhood cancer survivors</td>\n",
       "      <td>207 European ancestry female cases, 2,774 Euro...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.49</td>\n",
       "      <td>3e-07</td>\n",
       "      <td>6.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.590000</td>\n",
       "      <td>[1.30-1.92]</td>\n",
       "      <td>Affymetrix, Illumina [16958466] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64225</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>29059430</td>\n",
       "      <td>Morton LM</td>\n",
       "      <td>2017-11-01</td>\n",
       "      <td>J Natl Cancer Inst</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29059430</td>\n",
       "      <td>Genome-Wide Association Study to Identify Susc...</td>\n",
       "      <td>Breast cancer in childhood cancer survivors</td>\n",
       "      <td>207 European ancestry female cases, 2,774 Euro...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.001</td>\n",
       "      <td>2e-07</td>\n",
       "      <td>6.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.850000</td>\n",
       "      <td>[1.67-8.9]</td>\n",
       "      <td>Affymetrix, Illumina [16958466] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64226</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>29059430</td>\n",
       "      <td>Morton LM</td>\n",
       "      <td>2017-11-01</td>\n",
       "      <td>J Natl Cancer Inst</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29059430</td>\n",
       "      <td>Genome-Wide Association Study to Identify Susc...</td>\n",
       "      <td>Breast cancer in childhood cancer survivors tr...</td>\n",
       "      <td>69 European ancestry cases, 2,144 European anc...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.06</td>\n",
       "      <td>2e-07</td>\n",
       "      <td>6.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.120000</td>\n",
       "      <td>[1.96-4.96]</td>\n",
       "      <td>Affymetrix, Illumina [16958466] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64227</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>29059430</td>\n",
       "      <td>Morton LM</td>\n",
       "      <td>2017-11-01</td>\n",
       "      <td>J Natl Cancer Inst</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29059430</td>\n",
       "      <td>Genome-Wide Association Study to Identify Susc...</td>\n",
       "      <td>Breast cancer in childhood cancer survivors tr...</td>\n",
       "      <td>69 European ancestry cases, 2,144 European anc...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.16</td>\n",
       "      <td>6e-07</td>\n",
       "      <td>6.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.120000</td>\n",
       "      <td>[1.50-3.01]</td>\n",
       "      <td>Affymetrix, Illumina [16958466] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64228</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>29059430</td>\n",
       "      <td>Morton LM</td>\n",
       "      <td>2017-11-01</td>\n",
       "      <td>J Natl Cancer Inst</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29059430</td>\n",
       "      <td>Genome-Wide Association Study to Identify Susc...</td>\n",
       "      <td>Breast cancer in childhood cancer survivors tr...</td>\n",
       "      <td>131 European ancestry cases, 493 European ance...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.02</td>\n",
       "      <td>2e-07</td>\n",
       "      <td>6.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.550000</td>\n",
       "      <td>[1.61-4.02]</td>\n",
       "      <td>Affymetrix, Illumina [16958466] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64229</th>\n",
       "      <td>2018-01-08</td>\n",
       "      <td>29186428</td>\n",
       "      <td>Tönjes A</td>\n",
       "      <td>2017-11-27</td>\n",
       "      <td>Hum Mol Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29186428</td>\n",
       "      <td>Genome wide meta-analysis identifies novel det...</td>\n",
       "      <td>Progranulin levels</td>\n",
       "      <td>1,963 European ancestry individuals, 848 Sorbi...</td>\n",
       "      <td>1800 European ancestry individuals</td>\n",
       "      <td>...</td>\n",
       "      <td>3_prime_UTR_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.784</td>\n",
       "      <td>6e-50</td>\n",
       "      <td>49.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.169000</td>\n",
       "      <td>unit increase</td>\n",
       "      <td>Affymetrix [2069113] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64230</th>\n",
       "      <td>2018-01-08</td>\n",
       "      <td>29186428</td>\n",
       "      <td>Tönjes A</td>\n",
       "      <td>2017-11-27</td>\n",
       "      <td>Hum Mol Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29186428</td>\n",
       "      <td>Genome wide meta-analysis identifies novel det...</td>\n",
       "      <td>Progranulin levels</td>\n",
       "      <td>1,963 European ancestry individuals, 848 Sorbi...</td>\n",
       "      <td>1800 European ancestry individuals</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.251</td>\n",
       "      <td>2e-12</td>\n",
       "      <td>11.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.056300</td>\n",
       "      <td>unit decrease</td>\n",
       "      <td>Affymetrix [2069113] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64231</th>\n",
       "      <td>2018-01-08</td>\n",
       "      <td>29186428</td>\n",
       "      <td>Tönjes A</td>\n",
       "      <td>2017-11-27</td>\n",
       "      <td>Hum Mol Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29186428</td>\n",
       "      <td>Genome wide meta-analysis identifies novel det...</td>\n",
       "      <td>Progranulin levels</td>\n",
       "      <td>1,963 European ancestry individuals, 848 Sorbi...</td>\n",
       "      <td>1800 European ancestry individuals</td>\n",
       "      <td>...</td>\n",
       "      <td>3_prime_UTR_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.252</td>\n",
       "      <td>5e-14</td>\n",
       "      <td>13.301030</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.066500</td>\n",
       "      <td>unit decrease</td>\n",
       "      <td>Affymetrix [2069113] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64232</th>\n",
       "      <td>2018-01-11</td>\n",
       "      <td>29229094</td>\n",
       "      <td>Condreay L</td>\n",
       "      <td>2017-10-26</td>\n",
       "      <td>Respir Med</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29229094</td>\n",
       "      <td>No genetic association detected with mepolizum...</td>\n",
       "      <td>Response to mepolizumab in severe asthma</td>\n",
       "      <td>820 European ancestry individuals</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>1e-06</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affymetrix, Illumina [NR] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64233</th>\n",
       "      <td>2018-01-11</td>\n",
       "      <td>29229094</td>\n",
       "      <td>Condreay L</td>\n",
       "      <td>2017-10-26</td>\n",
       "      <td>Respir Med</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29229094</td>\n",
       "      <td>No genetic association detected with mepolizum...</td>\n",
       "      <td>Response to mepolizumab in severe asthma</td>\n",
       "      <td>820 European ancestry individuals</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>1e-06</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affymetrix, Illumina [NR] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64234</th>\n",
       "      <td>2018-01-05</td>\n",
       "      <td>29187746</td>\n",
       "      <td>Howard DM</td>\n",
       "      <td>2017-11-30</td>\n",
       "      <td>Transl Psychiatry</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29187746</td>\n",
       "      <td>Genome-wide haplotype-based association analys...</td>\n",
       "      <td>Major depressive disorder</td>\n",
       "      <td>2,605 European ancestry cases, 16,168 European...</td>\n",
       "      <td>8,508 European ancestry cases, 16,527 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>4e-06</td>\n",
       "      <td>5.397940</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.410000</td>\n",
       "      <td>[1.22-1.61]</td>\n",
       "      <td>Illumina [at least 2618094] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64235</th>\n",
       "      <td>2018-01-12</td>\n",
       "      <td>29151059</td>\n",
       "      <td>Delgado DA</td>\n",
       "      <td>2017-11-18</td>\n",
       "      <td>J Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29151059</td>\n",
       "      <td>Genome-wide association study of telomere leng...</td>\n",
       "      <td>Telomere length</td>\n",
       "      <td>5,075 Bangladeshi ancestry individuals</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.10</td>\n",
       "      <td>2e-06</td>\n",
       "      <td>5.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.160000</td>\n",
       "      <td>[0.10-0.22] unit decrease</td>\n",
       "      <td>Illumina [~ 6300000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64236</th>\n",
       "      <td>2018-01-12</td>\n",
       "      <td>29151059</td>\n",
       "      <td>Delgado DA</td>\n",
       "      <td>2017-11-18</td>\n",
       "      <td>J Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29151059</td>\n",
       "      <td>Genome-wide association study of telomere leng...</td>\n",
       "      <td>Telomere length</td>\n",
       "      <td>5,075 Bangladeshi ancestry individuals</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>upstream_gene_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.17</td>\n",
       "      <td>1e-06</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.130000</td>\n",
       "      <td>[0.071-0.189] unit increase</td>\n",
       "      <td>Illumina [~ 6300000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64237</th>\n",
       "      <td>2018-01-12</td>\n",
       "      <td>29151059</td>\n",
       "      <td>Delgado DA</td>\n",
       "      <td>2017-11-18</td>\n",
       "      <td>J Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29151059</td>\n",
       "      <td>Genome-wide association study of telomere leng...</td>\n",
       "      <td>Telomere length</td>\n",
       "      <td>5,075 Bangladeshi ancestry individuals</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.21</td>\n",
       "      <td>4e-06</td>\n",
       "      <td>5.397940</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.110000</td>\n",
       "      <td>[0.071-0.149] unit increase</td>\n",
       "      <td>Illumina [~ 6300000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64238</th>\n",
       "      <td>2018-01-12</td>\n",
       "      <td>29151059</td>\n",
       "      <td>Delgado DA</td>\n",
       "      <td>2017-11-18</td>\n",
       "      <td>J Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29151059</td>\n",
       "      <td>Genome-wide association study of telomere leng...</td>\n",
       "      <td>Telomere length</td>\n",
       "      <td>5,075 Bangladeshi ancestry individuals</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>4e-06</td>\n",
       "      <td>5.397940</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>[0.061-0.139] unit decrease</td>\n",
       "      <td>Illumina [~ 6300000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>64239 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      DATE ADDED TO CATALOG  PUBMEDID     FIRST AUTHOR        DATE  \\\n",
       "0                2009-09-28  18403759           Ober C  2008-04-09   \n",
       "1                2008-06-16  18369459            Liu Y  2008-04-04   \n",
       "2                2008-06-16  18385676          Amos CI  2008-04-03   \n",
       "3                2008-06-16  18385676          Amos CI  2008-04-03   \n",
       "4                2008-06-16  18385676          Amos CI  2008-04-03   \n",
       "5                2008-06-16  18385738          Hung RJ  2008-04-03   \n",
       "6                2008-09-16  18385739  Thorgeirsson TE  2008-04-03   \n",
       "7                2008-06-16  18372901         Tenesa A  2008-03-30   \n",
       "8                2008-06-16  18372901         Tenesa A  2008-03-30   \n",
       "9                2008-06-16  18372901         Tenesa A  2008-03-30   \n",
       "10               2008-06-16  18372905     Tomlinson IP  2008-03-30   \n",
       "11               2008-06-16  18372905     Tomlinson IP  2008-03-30   \n",
       "12               2008-06-16  18372903        Zeggini E  2008-03-30   \n",
       "13               2008-06-16  18372903        Zeggini E  2008-03-30   \n",
       "14               2008-06-16  18372903        Zeggini E  2008-03-30   \n",
       "15               2008-06-16  18372903        Zeggini E  2008-03-30   \n",
       "16               2008-06-16  18372903        Zeggini E  2008-03-30   \n",
       "17               2008-06-16  18326623           Gold B  2008-03-11   \n",
       "18               2008-07-22  18332876          Kirov G  2008-03-11   \n",
       "19               2008-09-17  18327256         Doring A  2008-03-09   \n",
       "20               2008-09-17  18327257         Vitart V  2008-03-09   \n",
       "21               2008-06-16  18311140          Hunt KA  2008-03-02   \n",
       "22               2008-06-16  18311140          Hunt KA  2008-03-02   \n",
       "23               2008-06-16  18311140          Hunt KA  2008-03-02   \n",
       "24               2008-06-16  18311140          Hunt KA  2008-03-02   \n",
       "25               2008-06-16  18311140          Hunt KA  2008-03-02   \n",
       "26               2008-06-16  18264097         Eeles RA  2008-02-10   \n",
       "27               2008-06-16  18264097         Eeles RA  2008-02-10   \n",
       "28               2008-06-16  18264097         Eeles RA  2008-02-10   \n",
       "29               2008-06-16  18264097         Eeles RA  2008-02-10   \n",
       "...                     ...       ...              ...         ...   \n",
       "64209            2017-12-20  29170203         Alonso N  2017-11-23   \n",
       "64210            2017-12-20  29170203         Alonso N  2017-11-23   \n",
       "64211            2017-12-20  29170203         Alonso N  2017-11-23   \n",
       "64212            2017-12-20  29109912         Rawofi L  2017-11-02   \n",
       "64213            2017-12-20  29109912         Rawofi L  2017-11-02   \n",
       "64214            2018-01-09  26545403           Bei JX  2016-01-01   \n",
       "64215            2018-01-09  26545403           Bei JX  2016-01-01   \n",
       "64216            2018-01-09  26545403           Bei JX  2016-01-01   \n",
       "64217            2018-01-09  26545403           Bei JX  2016-01-01   \n",
       "64218            2018-01-09  26545403           Bei JX  2016-01-01   \n",
       "64219            2018-01-09  26545403           Bei JX  2016-01-01   \n",
       "64220            2018-01-09  26545403           Bei JX  2016-01-01   \n",
       "64221            2018-01-09  26545403           Bei JX  2016-01-01   \n",
       "64222            2018-01-09  29059430        Morton LM  2017-11-01   \n",
       "64223            2018-01-09  29059430        Morton LM  2017-11-01   \n",
       "64224            2018-01-09  29059430        Morton LM  2017-11-01   \n",
       "64225            2018-01-09  29059430        Morton LM  2017-11-01   \n",
       "64226            2018-01-09  29059430        Morton LM  2017-11-01   \n",
       "64227            2018-01-09  29059430        Morton LM  2017-11-01   \n",
       "64228            2018-01-09  29059430        Morton LM  2017-11-01   \n",
       "64229            2018-01-08  29186428         Tönjes A  2017-11-27   \n",
       "64230            2018-01-08  29186428         Tönjes A  2017-11-27   \n",
       "64231            2018-01-08  29186428         Tönjes A  2017-11-27   \n",
       "64232            2018-01-11  29229094       Condreay L  2017-10-26   \n",
       "64233            2018-01-11  29229094       Condreay L  2017-10-26   \n",
       "64234            2018-01-05  29187746        Howard DM  2017-11-30   \n",
       "64235            2018-01-12  29151059       Delgado DA  2017-11-18   \n",
       "64236            2018-01-12  29151059       Delgado DA  2017-11-18   \n",
       "64237            2018-01-12  29151059       Delgado DA  2017-11-18   \n",
       "64238            2018-01-12  29151059       Delgado DA  2017-11-18   \n",
       "\n",
       "                                JOURNAL                                  LINK  \\\n",
       "0                          N Engl J Med  www.ncbi.nlm.nih.gov/pubmed/18403759   \n",
       "1                            PLoS Genet  www.ncbi.nlm.nih.gov/pubmed/18369459   \n",
       "2                             Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18385676   \n",
       "3                             Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18385676   \n",
       "4                             Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18385676   \n",
       "5                                Nature  www.ncbi.nlm.nih.gov/pubmed/18385738   \n",
       "6                                Nature  www.ncbi.nlm.nih.gov/pubmed/18385739   \n",
       "7                             Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18372901   \n",
       "8                             Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18372901   \n",
       "9                             Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18372901   \n",
       "10                            Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18372905   \n",
       "11                            Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18372905   \n",
       "12                            Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18372903   \n",
       "13                            Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18372903   \n",
       "14                            Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18372903   \n",
       "15                            Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18372903   \n",
       "16                            Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18372903   \n",
       "17             Proc Natl Acad Sci U S A  www.ncbi.nlm.nih.gov/pubmed/18326623   \n",
       "18                       Mol Psychiatry  www.ncbi.nlm.nih.gov/pubmed/18332876   \n",
       "19                            Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18327256   \n",
       "20                            Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18327257   \n",
       "21                            Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18311140   \n",
       "22                            Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18311140   \n",
       "23                            Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18311140   \n",
       "24                            Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18311140   \n",
       "25                            Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18311140   \n",
       "26                            Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18264097   \n",
       "27                            Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18264097   \n",
       "28                            Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18264097   \n",
       "29                            Nat Genet  www.ncbi.nlm.nih.gov/pubmed/18264097   \n",
       "...                                 ...                                   ...   \n",
       "64209                     Ann Rheum Dis  www.ncbi.nlm.nih.gov/pubmed/29170203   \n",
       "64210                     Ann Rheum Dis  www.ncbi.nlm.nih.gov/pubmed/29170203   \n",
       "64211                     Ann Rheum Dis  www.ncbi.nlm.nih.gov/pubmed/29170203   \n",
       "64212                             PeerJ  www.ncbi.nlm.nih.gov/pubmed/29109912   \n",
       "64213                             PeerJ  www.ncbi.nlm.nih.gov/pubmed/29109912   \n",
       "64214  Cancer Epidemiol Biomarkers Prev  www.ncbi.nlm.nih.gov/pubmed/26545403   \n",
       "64215  Cancer Epidemiol Biomarkers Prev  www.ncbi.nlm.nih.gov/pubmed/26545403   \n",
       "64216  Cancer Epidemiol Biomarkers Prev  www.ncbi.nlm.nih.gov/pubmed/26545403   \n",
       "64217  Cancer Epidemiol Biomarkers Prev  www.ncbi.nlm.nih.gov/pubmed/26545403   \n",
       "64218  Cancer Epidemiol Biomarkers Prev  www.ncbi.nlm.nih.gov/pubmed/26545403   \n",
       "64219  Cancer Epidemiol Biomarkers Prev  www.ncbi.nlm.nih.gov/pubmed/26545403   \n",
       "64220  Cancer Epidemiol Biomarkers Prev  www.ncbi.nlm.nih.gov/pubmed/26545403   \n",
       "64221  Cancer Epidemiol Biomarkers Prev  www.ncbi.nlm.nih.gov/pubmed/26545403   \n",
       "64222                J Natl Cancer Inst  www.ncbi.nlm.nih.gov/pubmed/29059430   \n",
       "64223                J Natl Cancer Inst  www.ncbi.nlm.nih.gov/pubmed/29059430   \n",
       "64224                J Natl Cancer Inst  www.ncbi.nlm.nih.gov/pubmed/29059430   \n",
       "64225                J Natl Cancer Inst  www.ncbi.nlm.nih.gov/pubmed/29059430   \n",
       "64226                J Natl Cancer Inst  www.ncbi.nlm.nih.gov/pubmed/29059430   \n",
       "64227                J Natl Cancer Inst  www.ncbi.nlm.nih.gov/pubmed/29059430   \n",
       "64228                J Natl Cancer Inst  www.ncbi.nlm.nih.gov/pubmed/29059430   \n",
       "64229                     Hum Mol Genet  www.ncbi.nlm.nih.gov/pubmed/29186428   \n",
       "64230                     Hum Mol Genet  www.ncbi.nlm.nih.gov/pubmed/29186428   \n",
       "64231                     Hum Mol Genet  www.ncbi.nlm.nih.gov/pubmed/29186428   \n",
       "64232                        Respir Med  www.ncbi.nlm.nih.gov/pubmed/29229094   \n",
       "64233                        Respir Med  www.ncbi.nlm.nih.gov/pubmed/29229094   \n",
       "64234                 Transl Psychiatry  www.ncbi.nlm.nih.gov/pubmed/29187746   \n",
       "64235                       J Med Genet  www.ncbi.nlm.nih.gov/pubmed/29151059   \n",
       "64236                       J Med Genet  www.ncbi.nlm.nih.gov/pubmed/29151059   \n",
       "64237                       J Med Genet  www.ncbi.nlm.nih.gov/pubmed/29151059   \n",
       "64238                       J Med Genet  www.ncbi.nlm.nih.gov/pubmed/29151059   \n",
       "\n",
       "                                                   STUDY  \\\n",
       "0      Effect of variation in CHI3L1 on serum YKL-40 ...   \n",
       "1      A genome-wide association study of psoriasis a...   \n",
       "2      Genome-wide association scan of tag SNPs ident...   \n",
       "3      Genome-wide association scan of tag SNPs ident...   \n",
       "4      Genome-wide association scan of tag SNPs ident...   \n",
       "5      A susceptibility locus for lung cancer maps to...   \n",
       "6      A variant associated with nicotine dependence,...   \n",
       "7      Genome-wide association scan identifies a colo...   \n",
       "8      Genome-wide association scan identifies a colo...   \n",
       "9      Genome-wide association scan identifies a colo...   \n",
       "10     A genome-wide association study identifies col...   \n",
       "11     A genome-wide association study identifies col...   \n",
       "12     Meta-analysis of genome-wide association data ...   \n",
       "13     Meta-analysis of genome-wide association data ...   \n",
       "14     Meta-analysis of genome-wide association data ...   \n",
       "15     Meta-analysis of genome-wide association data ...   \n",
       "16     Meta-analysis of genome-wide association data ...   \n",
       "17     Genome-wide association study provides evidenc...   \n",
       "18     A genome-wide association study in 574 schizop...   \n",
       "19     SLC2A9 influences uric acid concentrations wit...   \n",
       "20     SLC2A9 is a newly identified urate transporter...   \n",
       "21     Newly identified genetic risk variants for cel...   \n",
       "22     Newly identified genetic risk variants for cel...   \n",
       "23     Newly identified genetic risk variants for cel...   \n",
       "24     Newly identified genetic risk variants for cel...   \n",
       "25     Newly identified genetic risk variants for cel...   \n",
       "26     Multiple newly identified loci associated with...   \n",
       "27     Multiple newly identified loci associated with...   \n",
       "28     Multiple newly identified loci associated with...   \n",
       "29     Multiple newly identified loci associated with...   \n",
       "...                                                  ...   \n",
       "64209  Identification of a novel locus on chromosome ...   \n",
       "64210  Identification of a novel locus on chromosome ...   \n",
       "64211  Identification of a novel locus on chromosome ...   \n",
       "64212  Genome-wide association study of pigmentary tr...   \n",
       "64213  Genome-wide association study of pigmentary tr...   \n",
       "64214  A GWAS Meta-analysis and Replication Study Ide...   \n",
       "64215  A GWAS Meta-analysis and Replication Study Ide...   \n",
       "64216  A GWAS Meta-analysis and Replication Study Ide...   \n",
       "64217  A GWAS Meta-analysis and Replication Study Ide...   \n",
       "64218  A GWAS Meta-analysis and Replication Study Ide...   \n",
       "64219  A GWAS Meta-analysis and Replication Study Ide...   \n",
       "64220  A GWAS Meta-analysis and Replication Study Ide...   \n",
       "64221  A GWAS Meta-analysis and Replication Study Ide...   \n",
       "64222  Genome-Wide Association Study to Identify Susc...   \n",
       "64223  Genome-Wide Association Study to Identify Susc...   \n",
       "64224  Genome-Wide Association Study to Identify Susc...   \n",
       "64225  Genome-Wide Association Study to Identify Susc...   \n",
       "64226  Genome-Wide Association Study to Identify Susc...   \n",
       "64227  Genome-Wide Association Study to Identify Susc...   \n",
       "64228  Genome-Wide Association Study to Identify Susc...   \n",
       "64229  Genome wide meta-analysis identifies novel det...   \n",
       "64230  Genome wide meta-analysis identifies novel det...   \n",
       "64231  Genome wide meta-analysis identifies novel det...   \n",
       "64232  No genetic association detected with mepolizum...   \n",
       "64233  No genetic association detected with mepolizum...   \n",
       "64234  Genome-wide haplotype-based association analys...   \n",
       "64235  Genome-wide association study of telomere leng...   \n",
       "64236  Genome-wide association study of telomere leng...   \n",
       "64237  Genome-wide association study of telomere leng...   \n",
       "64238  Genome-wide association study of telomere leng...   \n",
       "\n",
       "                                           DISEASE/TRAIT  \\\n",
       "0                                          YKL-40 levels   \n",
       "1                                              Psoriasis   \n",
       "2                                            Lung cancer   \n",
       "3                                            Lung cancer   \n",
       "4                                            Lung cancer   \n",
       "5                                            Lung cancer   \n",
       "6                                    Nicotine dependence   \n",
       "7                                      Colorectal cancer   \n",
       "8                                      Colorectal cancer   \n",
       "9                                      Colorectal cancer   \n",
       "10                                     Colorectal cancer   \n",
       "11                                     Colorectal cancer   \n",
       "12                                       Type 2 diabetes   \n",
       "13                                       Type 2 diabetes   \n",
       "14                                       Type 2 diabetes   \n",
       "15                                       Type 2 diabetes   \n",
       "16                                       Type 2 diabetes   \n",
       "17                                         Breast cancer   \n",
       "18                                         Schizophrenia   \n",
       "19                                          Urate levels   \n",
       "20                                          Urate levels   \n",
       "21                                        Celiac disease   \n",
       "22                                        Celiac disease   \n",
       "23                                        Celiac disease   \n",
       "24                                        Celiac disease   \n",
       "25                                        Celiac disease   \n",
       "26                                       Prostate cancer   \n",
       "27                                       Prostate cancer   \n",
       "28                                       Prostate cancer   \n",
       "29                                       Prostate cancer   \n",
       "...                                                  ...   \n",
       "64209                              Fractures (vertebral)   \n",
       "64210                              Fractures (vertebral)   \n",
       "64211                              Fractures (vertebral)   \n",
       "64212                         Iris color (a* coordinate)   \n",
       "64213                         Iris color (a* coordinate)   \n",
       "64214                           Nasopharyngeal carcinoma   \n",
       "64215                           Nasopharyngeal carcinoma   \n",
       "64216                           Nasopharyngeal carcinoma   \n",
       "64217                           Nasopharyngeal carcinoma   \n",
       "64218                           Nasopharyngeal carcinoma   \n",
       "64219                           Nasopharyngeal carcinoma   \n",
       "64220                           Nasopharyngeal carcinoma   \n",
       "64221                           Nasopharyngeal carcinoma   \n",
       "64222        Breast cancer in childhood cancer survivors   \n",
       "64223        Breast cancer in childhood cancer survivors   \n",
       "64224        Breast cancer in childhood cancer survivors   \n",
       "64225        Breast cancer in childhood cancer survivors   \n",
       "64226  Breast cancer in childhood cancer survivors tr...   \n",
       "64227  Breast cancer in childhood cancer survivors tr...   \n",
       "64228  Breast cancer in childhood cancer survivors tr...   \n",
       "64229                                 Progranulin levels   \n",
       "64230                                 Progranulin levels   \n",
       "64231                                 Progranulin levels   \n",
       "64232           Response to mepolizumab in severe asthma   \n",
       "64233           Response to mepolizumab in severe asthma   \n",
       "64234                          Major depressive disorder   \n",
       "64235                                    Telomere length   \n",
       "64236                                    Telomere length   \n",
       "64237                                    Telomere length   \n",
       "64238                                    Telomere length   \n",
       "\n",
       "                                     INITIAL SAMPLE SIZE  \\\n",
       "0                              632 Hutterite individuals   \n",
       "1      218 European ancestry cases, 519 European ance...   \n",
       "2      1,154 European ancestry cases, 1,137 European ...   \n",
       "3      1,154 European ancestry cases, 1,137 European ...   \n",
       "4      1,154 European ancestry cases, 1,137 European ...   \n",
       "5      1,926 European ance other ancestry cases, 2,52...   \n",
       "6                   10,995 European ancestry individuals   \n",
       "7      981 European ancestry cases, 1,002 European an...   \n",
       "8      981 European ancestry cases, 1,002 European an...   \n",
       "9      981 European ancestry cases, 1,002 European an...   \n",
       "10     922 European ancestry cases, 927 European ance...   \n",
       "11     922 European ancestry cases, 927 European ance...   \n",
       "12     4,549 European ancestry cases, 5,579 European ...   \n",
       "13     4,549 European ancestry cases, 5,579 European ...   \n",
       "14     4,549 European ancestry cases, 5,579 European ...   \n",
       "15     4,549 European ancestry cases, 5,579 European ...   \n",
       "16     4,549 European ancestry cases, 5,579 European ...   \n",
       "17     249 Ashkenazi Jewish non-BRCA1/2 carriers case...   \n",
       "18     574 European ancestry trios, 605 European ance...   \n",
       "19                   1,644 European ancestry individuals   \n",
       "20                     794 European ancestry individuals   \n",
       "21     767 European ancestry cases, 1,422 European an...   \n",
       "22     767 European ancestry cases, 1,422 European an...   \n",
       "23     767 European ancestry cases, 1,422 European an...   \n",
       "24     767 European ancestry cases, 1,422 European an...   \n",
       "25     767 European ancestry cases, 1,422 European an...   \n",
       "26     1,854 European ancestry cases, 1,894 European ...   \n",
       "27     1,854 European ancestry cases, 1,894 European ...   \n",
       "28     1,854 European ancestry cases, 1,894 European ...   \n",
       "29     1,854 European ancestry cases, 1,894 European ...   \n",
       "...                                                  ...   \n",
       "64209  1,553 European ancestry cases, 4,340 European ...   \n",
       "64210  1,553 European ancestry cases, 4,340 European ...   \n",
       "64211  1,553 European ancestry cases, 4,340 European ...   \n",
       "64212                377 East Asian ancestry individuals   \n",
       "64213                377 East Asian ancestry individuals   \n",
       "64214  2,152 Chinese ancestry cases, 3,740 Chinese an...   \n",
       "64215  2,152 Chinese ancestry cases, 3,740 Chinese an...   \n",
       "64216  2,152 Chinese ancestry cases, 3,740 Chinese an...   \n",
       "64217  2,152 Chinese ancestry cases, 3,740 Chinese an...   \n",
       "64218  2,152 Chinese ancestry cases, 3,740 Chinese an...   \n",
       "64219  2,152 Chinese ancestry cases, 3,740 Chinese an...   \n",
       "64220  2,152 Chinese ancestry cases, 3,740 Chinese an...   \n",
       "64221  2,152 Chinese ancestry cases, 3,740 Chinese an...   \n",
       "64222  207 European ancestry female cases, 2,774 Euro...   \n",
       "64223  207 European ancestry female cases, 2,774 Euro...   \n",
       "64224  207 European ancestry female cases, 2,774 Euro...   \n",
       "64225  207 European ancestry female cases, 2,774 Euro...   \n",
       "64226  69 European ancestry cases, 2,144 European anc...   \n",
       "64227  69 European ancestry cases, 2,144 European anc...   \n",
       "64228  131 European ancestry cases, 493 European ance...   \n",
       "64229  1,963 European ancestry individuals, 848 Sorbi...   \n",
       "64230  1,963 European ancestry individuals, 848 Sorbi...   \n",
       "64231  1,963 European ancestry individuals, 848 Sorbi...   \n",
       "64232                  820 European ancestry individuals   \n",
       "64233                  820 European ancestry individuals   \n",
       "64234  2,605 European ancestry cases, 16,168 European...   \n",
       "64235             5,075 Bangladeshi ancestry individuals   \n",
       "64236             5,075 Bangladeshi ancestry individuals   \n",
       "64237             5,075 Bangladeshi ancestry individuals   \n",
       "64238             5,075 Bangladeshi ancestry individuals   \n",
       "\n",
       "                                 REPLICATION SAMPLE SIZE ...   \\\n",
       "0      443 European ancestry cases, 491 European ance... ...    \n",
       "1      1,153 European ancestry cases, 1,217 European ... ...    \n",
       "2      2,724 European ancestry cases, 3,694 European ... ...    \n",
       "3      2,724 European ancestry cases, 3,694 European ... ...    \n",
       "4      2,724 European ancestry cases, 3,694 European ... ...    \n",
       "5      332 European ancestry cases, 462 European ance... ...    \n",
       "6                    4,848 European ancestry individuals ...    \n",
       "7      10,287 European ancestry cases, 10,401 Europea... ...    \n",
       "8      10,287 European ancestry cases, 10,401 Europea... ...    \n",
       "9      10,287 European ancestry cases, 10,401 Europea... ...    \n",
       "10     17,089 European ancestry cases, 16,862 Europea... ...    \n",
       "11     17,089 European ancestry cases, 16,862 Europea... ...    \n",
       "12     24,194 European ancestry cases, 55,598 Europea... ...    \n",
       "13     24,194 European ancestry cases, 55,598 Europea... ...    \n",
       "14     24,194 European ancestry cases, 55,598 Europea... ...    \n",
       "15     24,194 European ancestry cases, 55,598 Europea... ...    \n",
       "16     24,194 European ancestry cases, 55,598 Europea... ...    \n",
       "17     1,193 Ashkenazi Jewish non-BRCA1/2 carriers  c... ...    \n",
       "18                                                   NaN ...    \n",
       "19                   9,947 European ancestry individuals ...    \n",
       "20                     706 European ancestry individuals ...    \n",
       "21     1,643 European ancestry cases, 3,406 European ... ...    \n",
       "22     1,643 European ancestry cases, 3,406 European ... ...    \n",
       "23     1,643 European ancestry cases, 3,406 European ... ...    \n",
       "24     1,643 European ancestry cases, 3,406 European ... ...    \n",
       "25     1,643 European ancestry cases, 3,406 European ... ...    \n",
       "26     3,268 European ancestry cases, 3,366 European ... ...    \n",
       "27     3,268 European ancestry cases, 3,366 European ... ...    \n",
       "28     3,268 European ancestry cases, 3,366 European ... ...    \n",
       "29     3,268 European ancestry cases, 3,366 European ... ...    \n",
       "...                                                  ... ...    \n",
       "64209  694 European ancestry cases, 2,105 European an... ...    \n",
       "64210  694 European ancestry cases, 2,105 European an... ...    \n",
       "64211  694 European ancestry cases, 2,105 European an... ...    \n",
       "64212                                                NaN ...    \n",
       "64213                                                NaN ...    \n",
       "64214  4,716 Chinese ancestry cases, 5,379 Chinese an... ...    \n",
       "64215  4,716 Chinese ancestry cases, 5,379 Chinese an... ...    \n",
       "64216  4,716 Chinese ancestry cases, 5,379 Chinese an... ...    \n",
       "64217  4,716 Chinese ancestry cases, 5,379 Chinese an... ...    \n",
       "64218  4,716 Chinese ancestry cases, 5,379 Chinese an... ...    \n",
       "64219  4,716 Chinese ancestry cases, 5,379 Chinese an... ...    \n",
       "64220  4,716 Chinese ancestry cases, 5,379 Chinese an... ...    \n",
       "64221  4,716 Chinese ancestry cases, 5,379 Chinese an... ...    \n",
       "64222                                                NaN ...    \n",
       "64223                                                NaN ...    \n",
       "64224                                                NaN ...    \n",
       "64225                                                NaN ...    \n",
       "64226                                                NaN ...    \n",
       "64227                                                NaN ...    \n",
       "64228                                                NaN ...    \n",
       "64229                 1800 European ancestry individuals ...    \n",
       "64230                 1800 European ancestry individuals ...    \n",
       "64231                 1800 European ancestry individuals ...    \n",
       "64232                                                NaN ...    \n",
       "64233                                                NaN ...    \n",
       "64234  8,508 European ancestry cases, 16,527 European... ...    \n",
       "64235                                                NaN ...    \n",
       "64236                                                NaN ...    \n",
       "64237                                                NaN ...    \n",
       "64238                                                NaN ...    \n",
       "\n",
       "                         CONTEXT INTERGENIC RISK ALLELE FREQUENCY P-VALUE  \\\n",
       "0          upstream_gene_variant        0.0                  0.29   1e-13   \n",
       "1                 intron_variant        0.0                  0.65   2e-06   \n",
       "2                 intron_variant        0.0                    NR   3e-18   \n",
       "3        downstream_gene_variant        1.0                    NR   7e-06   \n",
       "4                 intron_variant        0.0                    NR   8e-06   \n",
       "5                 intron_variant        0.0                  0.34   5e-20   \n",
       "6             synonymous_variant        0.0                  0.35   6e-20   \n",
       "7                 intron_variant        0.0                  0.18   9e-26   \n",
       "8                 intron_variant        0.0                  0.43   6e-10   \n",
       "9                 intron_variant        0.0                  0.52   8e-28   \n",
       "10         upstream_gene_variant        0.0                  0.67   3e-13   \n",
       "11     regulatory_region_variant        1.0                  0.07   3e-18   \n",
       "12                intron_variant        0.0                  0.50   5e-14   \n",
       "13            intergenic_variant        1.0                  0.18   1e-10   \n",
       "14                intron_variant        1.0                  0.27   1e-09   \n",
       "15              missense_variant        0.0                  0.90   1e-09   \n",
       "16                intron_variant        0.0                  0.76   1e-08   \n",
       "17                intron_variant        0.0                  0.21   3e-08   \n",
       "18                intron_variant        0.0                  0.91   1e-06   \n",
       "19                intron_variant        0.0                  0.40   3e-70   \n",
       "20                intron_variant        0.0                  0.31   3e-09   \n",
       "21         upstream_gene_variant        0.0                    NR   3e-11   \n",
       "22                intron_variant        1.0                    NR   4e-09   \n",
       "23                intron_variant        0.0                    NR   1e-09   \n",
       "24                intron_variant        0.0                    NR   5e-09   \n",
       "25           5_prime_UTR_variant        0.0                    NR   7e-08   \n",
       "26         upstream_gene_variant        1.0                  0.40   9e-29   \n",
       "27         upstream_gene_variant        1.0                  0.85   2e-18   \n",
       "28            intergenic_variant        1.0                  0.51   2e-12   \n",
       "29                intron_variant        0.0                  0.29   6e-10   \n",
       "...                          ...        ...                   ...     ...   \n",
       "64209    downstream_gene_variant        0.0                  0.03   1e-09   \n",
       "64210         intergenic_variant        1.0                  0.29   4e-07   \n",
       "64211        3_prime_UTR_variant        0.0                  0.23   3e-07   \n",
       "64212             intron_variant        0.0                 0.602   6e-06   \n",
       "64213         intergenic_variant        1.0                 0.084   9e-06   \n",
       "64214             intron_variant        0.0                    NR   6e-13   \n",
       "64215             intron_variant        0.0                    NR   2e-12   \n",
       "64216             intron_variant        0.0                    NR   5e-10   \n",
       "64217             intron_variant        0.0                    NR   3e-08   \n",
       "64218             intron_variant        0.0                    NR   1e-06   \n",
       "64219             intron_variant        0.0                    NR   7e-07   \n",
       "64220        3_prime_UTR_variant        0.0                    NR   8e-07   \n",
       "64221      upstream_gene_variant        1.0                    NR   4e-06   \n",
       "64222         intergenic_variant        1.0                2.0E-4   6e-07   \n",
       "64223             intron_variant        0.0                  0.03   4e-07   \n",
       "64224             intron_variant        0.0                  0.49   3e-07   \n",
       "64225         intergenic_variant        1.0                 0.001   2e-07   \n",
       "64226         intergenic_variant        1.0                  0.06   2e-07   \n",
       "64227         intergenic_variant        1.0                  0.16   6e-07   \n",
       "64228             intron_variant        0.0                  0.02   2e-07   \n",
       "64229        3_prime_UTR_variant        0.0                 0.784   6e-50   \n",
       "64230             intron_variant        0.0                 0.251   2e-12   \n",
       "64231        3_prime_UTR_variant        0.0                 0.252   5e-14   \n",
       "64232         intergenic_variant        1.0                    NR   1e-06   \n",
       "64233         intergenic_variant        1.0                    NR   1e-06   \n",
       "64234             intron_variant        0.0                    NR   4e-06   \n",
       "64235         intergenic_variant        0.0                  0.10   2e-06   \n",
       "64236      upstream_gene_variant        1.0                  0.17   1e-06   \n",
       "64237         intergenic_variant        1.0                  0.21   4e-06   \n",
       "64238         intergenic_variant        0.0                  0.25   4e-06   \n",
       "\n",
       "      PVALUE_MLOG  P-VALUE (TEXT)  OR or BETA  \\\n",
       "0       13.000000             NaN    0.300000   \n",
       "1        5.698970             NaN    1.410000   \n",
       "2       17.522879             NaN    1.300000   \n",
       "3        5.154902             NaN    1.220000   \n",
       "4        5.096910             NaN    1.160000   \n",
       "5       19.301030             NaN    1.300000   \n",
       "6       19.221849             NaN    0.100000   \n",
       "7       25.045757             NaN    1.190000   \n",
       "8        9.221849             NaN    1.110000   \n",
       "9       27.096910             NaN    1.200000   \n",
       "10      12.522879             NaN    1.120000   \n",
       "11      17.522879             NaN    1.270000   \n",
       "12      13.301030             NaN    1.100000   \n",
       "13      10.000000             NaN    1.110000   \n",
       "14       9.000000             NaN    1.090000   \n",
       "15       9.000000             NaN    1.150000   \n",
       "16       8.000000             NaN    1.090000   \n",
       "17       7.522879             NaN    1.410000   \n",
       "18       6.000000             NaN         NaN   \n",
       "19      69.522879             NaN    0.350000   \n",
       "20       8.522879             NaN    0.880000   \n",
       "21      10.522879             NaN    1.390000   \n",
       "22       8.397940             NaN    1.280000   \n",
       "23       9.000000             NaN    1.350000   \n",
       "24       8.301030             NaN    1.230000   \n",
       "25       7.154902             NaN    1.210000   \n",
       "26      28.045757             NaN    1.250000   \n",
       "27      17.698970             NaN    1.200000   \n",
       "28      11.698970             NaN    1.190000   \n",
       "29       9.221849             NaN    1.170000   \n",
       "...           ...             ...         ...   \n",
       "64209    9.000000             NaN    1.750000   \n",
       "64210    6.397940             NaN    1.220000   \n",
       "64211    6.522879             NaN    1.230000   \n",
       "64212    5.221849             NaN    0.395000   \n",
       "64213    5.045757             NaN    0.643000   \n",
       "64214   12.221849             NaN    1.234568   \n",
       "64215   11.698970             NaN    1.190476   \n",
       "64216    9.301030             NaN    1.160000   \n",
       "64217    7.522879             NaN    1.250000   \n",
       "64218    6.000000             NaN    1.190476   \n",
       "64219    6.154902             NaN    1.149425   \n",
       "64220    6.096910             NaN    1.162791   \n",
       "64221    5.397940             NaN    1.120000   \n",
       "64222    6.221849             NaN         NaN   \n",
       "64223    6.397940             NaN    2.230000   \n",
       "64224    6.522879             NaN    1.590000   \n",
       "64225    6.698970             NaN    3.850000   \n",
       "64226    6.698970             NaN    3.120000   \n",
       "64227    6.221849             NaN    2.120000   \n",
       "64228    6.698970             NaN    2.550000   \n",
       "64229   49.221849             NaN    0.169000   \n",
       "64230   11.698970             NaN    0.056300   \n",
       "64231   13.301030             NaN    0.066500   \n",
       "64232    6.000000             NaN         NaN   \n",
       "64233    6.000000             NaN         NaN   \n",
       "64234    5.397940             NaN    1.410000   \n",
       "64235    5.698970             NaN    0.160000   \n",
       "64236    6.000000             NaN    0.130000   \n",
       "64237    5.397940             NaN    0.110000   \n",
       "64238    5.397940             NaN    0.100000   \n",
       "\n",
       "                                      95% CI (TEXT)  \\\n",
       "0                               [NR] ng/ml decrease   \n",
       "1                                       [1.22-1.61]   \n",
       "2                                       [1.15-1.47]   \n",
       "3                                       [1.10-1.35]   \n",
       "4                                       [1.05-1.28]   \n",
       "5                                       [1.23-1.37]   \n",
       "6           [0.08-0.12] cigarettes per day increase   \n",
       "7                                       [1.15-1.23]   \n",
       "8                                       [1.08-1.15]   \n",
       "9                                       [1.16-1.24]   \n",
       "10                                      [1.10-1.16]   \n",
       "11                                      [1.20-1.34]   \n",
       "12                                      [1.07-1.13]   \n",
       "13                                      [1.07-1.14]   \n",
       "14                                      [1.06-1.12]   \n",
       "15                                      [1.10-1.20]   \n",
       "16                                      [1.06-1.12]   \n",
       "17                                      [1.25-1.59]   \n",
       "18                                              NaN   \n",
       "19                 [NR] mg/dl decrease in uric acid   \n",
       "20     [NR] uM decrease in uric acid [females only]   \n",
       "21                                      [1.26-1.53]   \n",
       "22                                      [1.18-1.39]   \n",
       "23                                      [1.23-1.49]   \n",
       "24                                      [1.15-1.32]   \n",
       "25                                      [1.13-1.30]   \n",
       "26                                      [1.17-1.34]   \n",
       "27                                      [1.10-1.33]   \n",
       "28                                      [1.11-1.27]   \n",
       "29                                      [1.08-1.26]   \n",
       "...                                             ...   \n",
       "64209                                   [1.45-2.12]   \n",
       "64210                                   [1.13-1.32]   \n",
       "64211                                   [1.13-1.33]   \n",
       "64212                     [0.25-0.54] unit decrease   \n",
       "64213                     [0.37-0.92] unit increase   \n",
       "64214                                           NaN   \n",
       "64215                                           NaN   \n",
       "64216                                           NaN   \n",
       "64217                                           NaN   \n",
       "64218                                           NaN   \n",
       "64219                                           NaN   \n",
       "64220                                           NaN   \n",
       "64221                                           NaN   \n",
       "64222                                           NaN   \n",
       "64223                                   [1.52-3.26]   \n",
       "64224                                   [1.30-1.92]   \n",
       "64225                                    [1.67-8.9]   \n",
       "64226                                   [1.96-4.96]   \n",
       "64227                                   [1.50-3.01]   \n",
       "64228                                   [1.61-4.02]   \n",
       "64229                                 unit increase   \n",
       "64230                                 unit decrease   \n",
       "64231                                 unit decrease   \n",
       "64232                                           NaN   \n",
       "64233                                           NaN   \n",
       "64234                                   [1.22-1.61]   \n",
       "64235                     [0.10-0.22] unit decrease   \n",
       "64236                   [0.071-0.189] unit increase   \n",
       "64237                   [0.071-0.149] unit increase   \n",
       "64238                   [0.061-0.139] unit decrease   \n",
       "\n",
       "                              PLATFORM [SNPS PASSING QC]  CNV  \n",
       "0                                    Affymetrix [290325]    N  \n",
       "1                                      Illumina [305983]    N  \n",
       "2                                      Illumina [317498]    N  \n",
       "3                                      Illumina [317498]    N  \n",
       "4                                      Illumina [317498]    N  \n",
       "5                                      Illumina [310023]    N  \n",
       "6                                      Illumina [306207]    N  \n",
       "7                                      Illumina [541628]    N  \n",
       "8                                      Illumina [541628]    N  \n",
       "9                                      Illumina [541628]    N  \n",
       "10                                     Illumina [547647]    N  \n",
       "11                                     Illumina [547647]    N  \n",
       "12              Affymetrix, Illumina [2202892] (imputed)    N  \n",
       "13              Affymetrix, Illumina [2202892] (imputed)    N  \n",
       "14              Affymetrix, Illumina [2202892] (imputed)    N  \n",
       "15              Affymetrix, Illumina [2202892] (imputed)    N  \n",
       "16              Affymetrix, Illumina [2202892] (imputed)    N  \n",
       "17                                   Affymetrix [150080]    N  \n",
       "18                                   Illumina [~ 550000]    N  \n",
       "19                                   Affymetrix [335152]    N  \n",
       "20                                     Illumina [308140]    N  \n",
       "21                                     Illumina [310605]    N  \n",
       "22                                     Illumina [310605]    N  \n",
       "23                                     Illumina [310605]    N  \n",
       "24                                     Illumina [310605]    N  \n",
       "25                                     Illumina [310605]    N  \n",
       "26                                     Illumina [541129]    N  \n",
       "27                                     Illumina [541129]    N  \n",
       "28                                     Illumina [541129]    N  \n",
       "29                                     Illumina [541129]    N  \n",
       "...                                                  ...  ...  \n",
       "64209           Affymetrix, Illumina [2366456] (imputed)    N  \n",
       "64210           Affymetrix, Illumina [2366456] (imputed)    N  \n",
       "64211           Affymetrix, Illumina [2366456] (imputed)    N  \n",
       "64212               Illumina [at least 520076] (imputed)    N  \n",
       "64213               Illumina [at least 520076] (imputed)    N  \n",
       "64214  Illumina [Sequenom custom array used in replic...    N  \n",
       "64215  Illumina [Sequenom custom array used in replic...    N  \n",
       "64216  Illumina [Sequenom custom array used in replic...    N  \n",
       "64217  Illumina [Sequenom custom array used in replic...    N  \n",
       "64218  Illumina [Sequenom custom array used in replic...    N  \n",
       "64219  Illumina [Sequenom custom array used in replic...    N  \n",
       "64220  Illumina [Sequenom custom array used in replic...    N  \n",
       "64221  Illumina [Sequenom custom array used in replic...    N  \n",
       "64222          Affymetrix, Illumina [16958466] (imputed)    N  \n",
       "64223          Affymetrix, Illumina [16958466] (imputed)    N  \n",
       "64224          Affymetrix, Illumina [16958466] (imputed)    N  \n",
       "64225          Affymetrix, Illumina [16958466] (imputed)    N  \n",
       "64226          Affymetrix, Illumina [16958466] (imputed)    N  \n",
       "64227          Affymetrix, Illumina [16958466] (imputed)    N  \n",
       "64228          Affymetrix, Illumina [16958466] (imputed)    N  \n",
       "64229                     Affymetrix [2069113] (imputed)    N  \n",
       "64230                     Affymetrix [2069113] (imputed)    N  \n",
       "64231                     Affymetrix [2069113] (imputed)    N  \n",
       "64232                Affymetrix, Illumina [NR] (imputed)    N  \n",
       "64233                Affymetrix, Illumina [NR] (imputed)    N  \n",
       "64234              Illumina [at least 2618094] (imputed)    N  \n",
       "64235                     Illumina [~ 6300000] (imputed)    N  \n",
       "64236                     Illumina [~ 6300000] (imputed)    N  \n",
       "64237                     Illumina [~ 6300000] (imputed)    N  \n",
       "64238                     Illumina [~ 6300000] (imputed)    N  \n",
       "\n",
       "[64239 rows x 34 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Για να τυπώσουμε μόνο κάποιες γραμμές: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DATE ADDED TO CATALOG</th>\n",
       "      <th>PUBMEDID</th>\n",
       "      <th>FIRST AUTHOR</th>\n",
       "      <th>DATE</th>\n",
       "      <th>JOURNAL</th>\n",
       "      <th>LINK</th>\n",
       "      <th>STUDY</th>\n",
       "      <th>DISEASE/TRAIT</th>\n",
       "      <th>INITIAL SAMPLE SIZE</th>\n",
       "      <th>REPLICATION SAMPLE SIZE</th>\n",
       "      <th>...</th>\n",
       "      <th>CONTEXT</th>\n",
       "      <th>INTERGENIC</th>\n",
       "      <th>RISK ALLELE FREQUENCY</th>\n",
       "      <th>P-VALUE</th>\n",
       "      <th>PVALUE_MLOG</th>\n",
       "      <th>P-VALUE (TEXT)</th>\n",
       "      <th>OR or BETA</th>\n",
       "      <th>95% CI (TEXT)</th>\n",
       "      <th>PLATFORM [SNPS PASSING QC]</th>\n",
       "      <th>CNV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2009-09-28</td>\n",
       "      <td>18403759</td>\n",
       "      <td>Ober C</td>\n",
       "      <td>2008-04-09</td>\n",
       "      <td>N Engl J Med</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18403759</td>\n",
       "      <td>Effect of variation in CHI3L1 on serum YKL-40 ...</td>\n",
       "      <td>YKL-40 levels</td>\n",
       "      <td>632 Hutterite individuals</td>\n",
       "      <td>443 European ancestry cases, 491 European ance...</td>\n",
       "      <td>...</td>\n",
       "      <td>upstream_gene_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.29</td>\n",
       "      <td>1e-13</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.30</td>\n",
       "      <td>[NR] ng/ml decrease</td>\n",
       "      <td>Affymetrix [290325]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18369459</td>\n",
       "      <td>Liu Y</td>\n",
       "      <td>2008-04-04</td>\n",
       "      <td>PLoS Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18369459</td>\n",
       "      <td>A genome-wide association study of psoriasis a...</td>\n",
       "      <td>Psoriasis</td>\n",
       "      <td>218 European ancestry cases, 519 European ance...</td>\n",
       "      <td>1,153 European ancestry cases, 1,217 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.65</td>\n",
       "      <td>2e-06</td>\n",
       "      <td>5.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.41</td>\n",
       "      <td>[1.22-1.61]</td>\n",
       "      <td>Illumina [305983]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18385676</td>\n",
       "      <td>Amos CI</td>\n",
       "      <td>2008-04-03</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18385676</td>\n",
       "      <td>Genome-wide association scan of tag SNPs ident...</td>\n",
       "      <td>Lung cancer</td>\n",
       "      <td>1,154 European ancestry cases, 1,137 European ...</td>\n",
       "      <td>2,724 European ancestry cases, 3,694 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>3e-18</td>\n",
       "      <td>17.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.30</td>\n",
       "      <td>[1.15-1.47]</td>\n",
       "      <td>Illumina [317498]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  DATE ADDED TO CATALOG  PUBMEDID FIRST AUTHOR        DATE       JOURNAL  \\\n",
       "0            2009-09-28  18403759       Ober C  2008-04-09  N Engl J Med   \n",
       "1            2008-06-16  18369459        Liu Y  2008-04-04    PLoS Genet   \n",
       "2            2008-06-16  18385676      Amos CI  2008-04-03     Nat Genet   \n",
       "\n",
       "                                   LINK  \\\n",
       "0  www.ncbi.nlm.nih.gov/pubmed/18403759   \n",
       "1  www.ncbi.nlm.nih.gov/pubmed/18369459   \n",
       "2  www.ncbi.nlm.nih.gov/pubmed/18385676   \n",
       "\n",
       "                                               STUDY  DISEASE/TRAIT  \\\n",
       "0  Effect of variation in CHI3L1 on serum YKL-40 ...  YKL-40 levels   \n",
       "1  A genome-wide association study of psoriasis a...      Psoriasis   \n",
       "2  Genome-wide association scan of tag SNPs ident...    Lung cancer   \n",
       "\n",
       "                                 INITIAL SAMPLE SIZE  \\\n",
       "0                          632 Hutterite individuals   \n",
       "1  218 European ancestry cases, 519 European ance...   \n",
       "2  1,154 European ancestry cases, 1,137 European ...   \n",
       "\n",
       "                             REPLICATION SAMPLE SIZE ...   \\\n",
       "0  443 European ancestry cases, 491 European ance... ...    \n",
       "1  1,153 European ancestry cases, 1,217 European ... ...    \n",
       "2  2,724 European ancestry cases, 3,694 European ... ...    \n",
       "\n",
       "                 CONTEXT INTERGENIC RISK ALLELE FREQUENCY P-VALUE PVALUE_MLOG  \\\n",
       "0  upstream_gene_variant        0.0                  0.29   1e-13   13.000000   \n",
       "1         intron_variant        0.0                  0.65   2e-06    5.698970   \n",
       "2         intron_variant        0.0                    NR   3e-18   17.522879   \n",
       "\n",
       "   P-VALUE (TEXT)  OR or BETA        95% CI (TEXT)  \\\n",
       "0             NaN        0.30  [NR] ng/ml decrease   \n",
       "1             NaN        1.41          [1.22-1.61]   \n",
       "2             NaN        1.30          [1.15-1.47]   \n",
       "\n",
       "   PLATFORM [SNPS PASSING QC]  CNV  \n",
       "0         Affymetrix [290325]    N  \n",
       "1           Illumina [305983]    N  \n",
       "2           Illumina [317498]    N  \n",
       "\n",
       "[3 rows x 34 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas[0:3] # Πρώτες 3 γραμμές"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DATE ADDED TO CATALOG</th>\n",
       "      <th>PUBMEDID</th>\n",
       "      <th>FIRST AUTHOR</th>\n",
       "      <th>DATE</th>\n",
       "      <th>JOURNAL</th>\n",
       "      <th>LINK</th>\n",
       "      <th>STUDY</th>\n",
       "      <th>DISEASE/TRAIT</th>\n",
       "      <th>INITIAL SAMPLE SIZE</th>\n",
       "      <th>REPLICATION SAMPLE SIZE</th>\n",
       "      <th>...</th>\n",
       "      <th>CONTEXT</th>\n",
       "      <th>INTERGENIC</th>\n",
       "      <th>RISK ALLELE FREQUENCY</th>\n",
       "      <th>P-VALUE</th>\n",
       "      <th>PVALUE_MLOG</th>\n",
       "      <th>P-VALUE (TEXT)</th>\n",
       "      <th>OR or BETA</th>\n",
       "      <th>95% CI (TEXT)</th>\n",
       "      <th>PLATFORM [SNPS PASSING QC]</th>\n",
       "      <th>CNV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>64236</th>\n",
       "      <td>2018-01-12</td>\n",
       "      <td>29151059</td>\n",
       "      <td>Delgado DA</td>\n",
       "      <td>2017-11-18</td>\n",
       "      <td>J Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29151059</td>\n",
       "      <td>Genome-wide association study of telomere leng...</td>\n",
       "      <td>Telomere length</td>\n",
       "      <td>5,075 Bangladeshi ancestry individuals</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>upstream_gene_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.17</td>\n",
       "      <td>1e-06</td>\n",
       "      <td>6.00000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.13</td>\n",
       "      <td>[0.071-0.189] unit increase</td>\n",
       "      <td>Illumina [~ 6300000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64237</th>\n",
       "      <td>2018-01-12</td>\n",
       "      <td>29151059</td>\n",
       "      <td>Delgado DA</td>\n",
       "      <td>2017-11-18</td>\n",
       "      <td>J Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29151059</td>\n",
       "      <td>Genome-wide association study of telomere leng...</td>\n",
       "      <td>Telomere length</td>\n",
       "      <td>5,075 Bangladeshi ancestry individuals</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.21</td>\n",
       "      <td>4e-06</td>\n",
       "      <td>5.39794</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.11</td>\n",
       "      <td>[0.071-0.149] unit increase</td>\n",
       "      <td>Illumina [~ 6300000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64238</th>\n",
       "      <td>2018-01-12</td>\n",
       "      <td>29151059</td>\n",
       "      <td>Delgado DA</td>\n",
       "      <td>2017-11-18</td>\n",
       "      <td>J Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29151059</td>\n",
       "      <td>Genome-wide association study of telomere leng...</td>\n",
       "      <td>Telomere length</td>\n",
       "      <td>5,075 Bangladeshi ancestry individuals</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>4e-06</td>\n",
       "      <td>5.39794</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.10</td>\n",
       "      <td>[0.061-0.139] unit decrease</td>\n",
       "      <td>Illumina [~ 6300000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      DATE ADDED TO CATALOG  PUBMEDID FIRST AUTHOR        DATE      JOURNAL  \\\n",
       "64236            2018-01-12  29151059   Delgado DA  2017-11-18  J Med Genet   \n",
       "64237            2018-01-12  29151059   Delgado DA  2017-11-18  J Med Genet   \n",
       "64238            2018-01-12  29151059   Delgado DA  2017-11-18  J Med Genet   \n",
       "\n",
       "                                       LINK  \\\n",
       "64236  www.ncbi.nlm.nih.gov/pubmed/29151059   \n",
       "64237  www.ncbi.nlm.nih.gov/pubmed/29151059   \n",
       "64238  www.ncbi.nlm.nih.gov/pubmed/29151059   \n",
       "\n",
       "                                                   STUDY    DISEASE/TRAIT  \\\n",
       "64236  Genome-wide association study of telomere leng...  Telomere length   \n",
       "64237  Genome-wide association study of telomere leng...  Telomere length   \n",
       "64238  Genome-wide association study of telomere leng...  Telomere length   \n",
       "\n",
       "                          INITIAL SAMPLE SIZE REPLICATION SAMPLE SIZE ...   \\\n",
       "64236  5,075 Bangladeshi ancestry individuals                     NaN ...    \n",
       "64237  5,075 Bangladeshi ancestry individuals                     NaN ...    \n",
       "64238  5,075 Bangladeshi ancestry individuals                     NaN ...    \n",
       "\n",
       "                     CONTEXT INTERGENIC RISK ALLELE FREQUENCY P-VALUE  \\\n",
       "64236  upstream_gene_variant        1.0                  0.17   1e-06   \n",
       "64237     intergenic_variant        1.0                  0.21   4e-06   \n",
       "64238     intergenic_variant        0.0                  0.25   4e-06   \n",
       "\n",
       "      PVALUE_MLOG  P-VALUE (TEXT)  OR or BETA                95% CI (TEXT)  \\\n",
       "64236     6.00000             NaN        0.13  [0.071-0.189] unit increase   \n",
       "64237     5.39794             NaN        0.11  [0.071-0.149] unit increase   \n",
       "64238     5.39794             NaN        0.10  [0.061-0.139] unit decrease   \n",
       "\n",
       "           PLATFORM [SNPS PASSING QC]  CNV  \n",
       "64236  Illumina [~ 6300000] (imputed)    N  \n",
       "64237  Illumina [~ 6300000] (imputed)    N  \n",
       "64238  Illumina [~ 6300000] (imputed)    N  \n",
       "\n",
       "[3 rows x 34 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas[-3:] # Τρεις τελευταίες "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>STUDY</th>\n",
       "      <th>P-VALUE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Effect of variation in CHI3L1 on serum YKL-40 ...</td>\n",
       "      <td>1e-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A genome-wide association study of psoriasis a...</td>\n",
       "      <td>2e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Genome-wide association scan of tag SNPs ident...</td>\n",
       "      <td>3e-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Genome-wide association scan of tag SNPs ident...</td>\n",
       "      <td>7e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Genome-wide association scan of tag SNPs ident...</td>\n",
       "      <td>8e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>A susceptibility locus for lung cancer maps to...</td>\n",
       "      <td>5e-20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>A variant associated with nicotine dependence,...</td>\n",
       "      <td>6e-20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Genome-wide association scan identifies a colo...</td>\n",
       "      <td>9e-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Genome-wide association scan identifies a colo...</td>\n",
       "      <td>6e-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Genome-wide association scan identifies a colo...</td>\n",
       "      <td>8e-28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>A genome-wide association study identifies col...</td>\n",
       "      <td>3e-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>A genome-wide association study identifies col...</td>\n",
       "      <td>3e-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Meta-analysis of genome-wide association data ...</td>\n",
       "      <td>5e-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Meta-analysis of genome-wide association data ...</td>\n",
       "      <td>1e-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Meta-analysis of genome-wide association data ...</td>\n",
       "      <td>1e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Meta-analysis of genome-wide association data ...</td>\n",
       "      <td>1e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Meta-analysis of genome-wide association data ...</td>\n",
       "      <td>1e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Genome-wide association study provides evidenc...</td>\n",
       "      <td>3e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>A genome-wide association study in 574 schizop...</td>\n",
       "      <td>1e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>SLC2A9 influences uric acid concentrations wit...</td>\n",
       "      <td>3e-70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>SLC2A9 is a newly identified urate transporter...</td>\n",
       "      <td>3e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Newly identified genetic risk variants for cel...</td>\n",
       "      <td>3e-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Newly identified genetic risk variants for cel...</td>\n",
       "      <td>4e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Newly identified genetic risk variants for cel...</td>\n",
       "      <td>1e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Newly identified genetic risk variants for cel...</td>\n",
       "      <td>5e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Newly identified genetic risk variants for cel...</td>\n",
       "      <td>7e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Multiple newly identified loci associated with...</td>\n",
       "      <td>9e-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Multiple newly identified loci associated with...</td>\n",
       "      <td>2e-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Multiple newly identified loci associated with...</td>\n",
       "      <td>2e-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Multiple newly identified loci associated with...</td>\n",
       "      <td>6e-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64209</th>\n",
       "      <td>Identification of a novel locus on chromosome ...</td>\n",
       "      <td>1e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64210</th>\n",
       "      <td>Identification of a novel locus on chromosome ...</td>\n",
       "      <td>4e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64211</th>\n",
       "      <td>Identification of a novel locus on chromosome ...</td>\n",
       "      <td>3e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64212</th>\n",
       "      <td>Genome-wide association study of pigmentary tr...</td>\n",
       "      <td>6e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64213</th>\n",
       "      <td>Genome-wide association study of pigmentary tr...</td>\n",
       "      <td>9e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64214</th>\n",
       "      <td>A GWAS Meta-analysis and Replication Study Ide...</td>\n",
       "      <td>6e-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64215</th>\n",
       "      <td>A GWAS Meta-analysis and Replication Study Ide...</td>\n",
       "      <td>2e-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64216</th>\n",
       "      <td>A GWAS Meta-analysis and Replication Study Ide...</td>\n",
       "      <td>5e-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64217</th>\n",
       "      <td>A GWAS Meta-analysis and Replication Study Ide...</td>\n",
       "      <td>3e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64218</th>\n",
       "      <td>A GWAS Meta-analysis and Replication Study Ide...</td>\n",
       "      <td>1e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64219</th>\n",
       "      <td>A GWAS Meta-analysis and Replication Study Ide...</td>\n",
       "      <td>7e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64220</th>\n",
       "      <td>A GWAS Meta-analysis and Replication Study Ide...</td>\n",
       "      <td>8e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64221</th>\n",
       "      <td>A GWAS Meta-analysis and Replication Study Ide...</td>\n",
       "      <td>4e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64222</th>\n",
       "      <td>Genome-Wide Association Study to Identify Susc...</td>\n",
       "      <td>6e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64223</th>\n",
       "      <td>Genome-Wide Association Study to Identify Susc...</td>\n",
       "      <td>4e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64224</th>\n",
       "      <td>Genome-Wide Association Study to Identify Susc...</td>\n",
       "      <td>3e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64225</th>\n",
       "      <td>Genome-Wide Association Study to Identify Susc...</td>\n",
       "      <td>2e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64226</th>\n",
       "      <td>Genome-Wide Association Study to Identify Susc...</td>\n",
       "      <td>2e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64227</th>\n",
       "      <td>Genome-Wide Association Study to Identify Susc...</td>\n",
       "      <td>6e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64228</th>\n",
       "      <td>Genome-Wide Association Study to Identify Susc...</td>\n",
       "      <td>2e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64229</th>\n",
       "      <td>Genome wide meta-analysis identifies novel det...</td>\n",
       "      <td>6e-50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64230</th>\n",
       "      <td>Genome wide meta-analysis identifies novel det...</td>\n",
       "      <td>2e-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64231</th>\n",
       "      <td>Genome wide meta-analysis identifies novel det...</td>\n",
       "      <td>5e-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64232</th>\n",
       "      <td>No genetic association detected with mepolizum...</td>\n",
       "      <td>1e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64233</th>\n",
       "      <td>No genetic association detected with mepolizum...</td>\n",
       "      <td>1e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64234</th>\n",
       "      <td>Genome-wide haplotype-based association analys...</td>\n",
       "      <td>4e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64235</th>\n",
       "      <td>Genome-wide association study of telomere leng...</td>\n",
       "      <td>2e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64236</th>\n",
       "      <td>Genome-wide association study of telomere leng...</td>\n",
       "      <td>1e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64237</th>\n",
       "      <td>Genome-wide association study of telomere leng...</td>\n",
       "      <td>4e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64238</th>\n",
       "      <td>Genome-wide association study of telomere leng...</td>\n",
       "      <td>4e-06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>64239 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   STUDY P-VALUE\n",
       "0      Effect of variation in CHI3L1 on serum YKL-40 ...   1e-13\n",
       "1      A genome-wide association study of psoriasis a...   2e-06\n",
       "2      Genome-wide association scan of tag SNPs ident...   3e-18\n",
       "3      Genome-wide association scan of tag SNPs ident...   7e-06\n",
       "4      Genome-wide association scan of tag SNPs ident...   8e-06\n",
       "5      A susceptibility locus for lung cancer maps to...   5e-20\n",
       "6      A variant associated with nicotine dependence,...   6e-20\n",
       "7      Genome-wide association scan identifies a colo...   9e-26\n",
       "8      Genome-wide association scan identifies a colo...   6e-10\n",
       "9      Genome-wide association scan identifies a colo...   8e-28\n",
       "10     A genome-wide association study identifies col...   3e-13\n",
       "11     A genome-wide association study identifies col...   3e-18\n",
       "12     Meta-analysis of genome-wide association data ...   5e-14\n",
       "13     Meta-analysis of genome-wide association data ...   1e-10\n",
       "14     Meta-analysis of genome-wide association data ...   1e-09\n",
       "15     Meta-analysis of genome-wide association data ...   1e-09\n",
       "16     Meta-analysis of genome-wide association data ...   1e-08\n",
       "17     Genome-wide association study provides evidenc...   3e-08\n",
       "18     A genome-wide association study in 574 schizop...   1e-06\n",
       "19     SLC2A9 influences uric acid concentrations wit...   3e-70\n",
       "20     SLC2A9 is a newly identified urate transporter...   3e-09\n",
       "21     Newly identified genetic risk variants for cel...   3e-11\n",
       "22     Newly identified genetic risk variants for cel...   4e-09\n",
       "23     Newly identified genetic risk variants for cel...   1e-09\n",
       "24     Newly identified genetic risk variants for cel...   5e-09\n",
       "25     Newly identified genetic risk variants for cel...   7e-08\n",
       "26     Multiple newly identified loci associated with...   9e-29\n",
       "27     Multiple newly identified loci associated with...   2e-18\n",
       "28     Multiple newly identified loci associated with...   2e-12\n",
       "29     Multiple newly identified loci associated with...   6e-10\n",
       "...                                                  ...     ...\n",
       "64209  Identification of a novel locus on chromosome ...   1e-09\n",
       "64210  Identification of a novel locus on chromosome ...   4e-07\n",
       "64211  Identification of a novel locus on chromosome ...   3e-07\n",
       "64212  Genome-wide association study of pigmentary tr...   6e-06\n",
       "64213  Genome-wide association study of pigmentary tr...   9e-06\n",
       "64214  A GWAS Meta-analysis and Replication Study Ide...   6e-13\n",
       "64215  A GWAS Meta-analysis and Replication Study Ide...   2e-12\n",
       "64216  A GWAS Meta-analysis and Replication Study Ide...   5e-10\n",
       "64217  A GWAS Meta-analysis and Replication Study Ide...   3e-08\n",
       "64218  A GWAS Meta-analysis and Replication Study Ide...   1e-06\n",
       "64219  A GWAS Meta-analysis and Replication Study Ide...   7e-07\n",
       "64220  A GWAS Meta-analysis and Replication Study Ide...   8e-07\n",
       "64221  A GWAS Meta-analysis and Replication Study Ide...   4e-06\n",
       "64222  Genome-Wide Association Study to Identify Susc...   6e-07\n",
       "64223  Genome-Wide Association Study to Identify Susc...   4e-07\n",
       "64224  Genome-Wide Association Study to Identify Susc...   3e-07\n",
       "64225  Genome-Wide Association Study to Identify Susc...   2e-07\n",
       "64226  Genome-Wide Association Study to Identify Susc...   2e-07\n",
       "64227  Genome-Wide Association Study to Identify Susc...   6e-07\n",
       "64228  Genome-Wide Association Study to Identify Susc...   2e-07\n",
       "64229  Genome wide meta-analysis identifies novel det...   6e-50\n",
       "64230  Genome wide meta-analysis identifies novel det...   2e-12\n",
       "64231  Genome wide meta-analysis identifies novel det...   5e-14\n",
       "64232  No genetic association detected with mepolizum...   1e-06\n",
       "64233  No genetic association detected with mepolizum...   1e-06\n",
       "64234  Genome-wide haplotype-based association analys...   4e-06\n",
       "64235  Genome-wide association study of telomere leng...   2e-06\n",
       "64236  Genome-wide association study of telomere leng...   1e-06\n",
       "64237  Genome-wide association study of telomere leng...   4e-06\n",
       "64238  Genome-wide association study of telomere leng...   4e-06\n",
       "\n",
       "[64239 rows x 2 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas[[\"STUDY\", \"P-VALUE\"]] # Μονο συγκεκριμμένες κολόνες"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>STUDY</th>\n",
       "      <th>P-VALUE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Effect of variation in CHI3L1 on serum YKL-40 ...</td>\n",
       "      <td>1e-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A genome-wide association study of psoriasis a...</td>\n",
       "      <td>2e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Genome-wide association scan of tag SNPs ident...</td>\n",
       "      <td>3e-18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               STUDY P-VALUE\n",
       "0  Effect of variation in CHI3L1 on serum YKL-40 ...   1e-13\n",
       "1  A genome-wide association study of psoriasis a...   2e-06\n",
       "2  Genome-wide association scan of tag SNPs ident...   3e-18"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas[[\"STUDY\", \"P-VALUE\"]][:3] # Sygkekrimmenes kolones, prwtes 3 grammes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Αυτό είναι ισοδύναμο με:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>STUDY</th>\n",
       "      <th>P-VALUE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Effect of variation in CHI3L1 on serum YKL-40 ...</td>\n",
       "      <td>1e-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A genome-wide association study of psoriasis a...</td>\n",
       "      <td>2e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Genome-wide association scan of tag SNPs ident...</td>\n",
       "      <td>3e-18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               STUDY P-VALUE\n",
       "0  Effect of variation in CHI3L1 on serum YKL-40 ...   1e-13\n",
       "1  A genome-wide association study of psoriasis a...   2e-06\n",
       "2  Genome-wide association scan of tag SNPs ident...   3e-18"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas[:3][[\"STUDY\", \"P-VALUE\"]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Λίστα με όλες τις κολόνες:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['DATE ADDED TO CATALOG',\n",
       " 'PUBMEDID',\n",
       " 'FIRST AUTHOR',\n",
       " 'DATE',\n",
       " 'JOURNAL',\n",
       " 'LINK',\n",
       " 'STUDY',\n",
       " 'DISEASE/TRAIT',\n",
       " 'INITIAL SAMPLE SIZE',\n",
       " 'REPLICATION SAMPLE SIZE',\n",
       " 'REGION',\n",
       " 'CHR_ID',\n",
       " 'CHR_POS',\n",
       " 'REPORTED GENE(S)',\n",
       " 'MAPPED_GENE',\n",
       " 'UPSTREAM_GENE_ID',\n",
       " 'DOWNSTREAM_GENE_ID',\n",
       " 'SNP_GENE_IDS',\n",
       " 'UPSTREAM_GENE_DISTANCE',\n",
       " 'DOWNSTREAM_GENE_DISTANCE',\n",
       " 'STRONGEST SNP-RISK ALLELE',\n",
       " 'SNPS',\n",
       " 'MERGED',\n",
       " 'SNP_ID_CURRENT',\n",
       " 'CONTEXT',\n",
       " 'INTERGENIC',\n",
       " 'RISK ALLELE FREQUENCY',\n",
       " 'P-VALUE',\n",
       " 'PVALUE_MLOG',\n",
       " 'P-VALUE (TEXT)',\n",
       " 'OR or BETA',\n",
       " '95% CI (TEXT)',\n",
       " 'PLATFORM [SNPS PASSING QC]',\n",
       " 'CNV']"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "columns = list(gwas.columns.values)\n",
    "columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Όλες οι γραμμές που έχουν το γονίδιο BRCA2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DATE ADDED TO CATALOG</th>\n",
       "      <th>PUBMEDID</th>\n",
       "      <th>FIRST AUTHOR</th>\n",
       "      <th>DATE</th>\n",
       "      <th>JOURNAL</th>\n",
       "      <th>LINK</th>\n",
       "      <th>STUDY</th>\n",
       "      <th>DISEASE/TRAIT</th>\n",
       "      <th>INITIAL SAMPLE SIZE</th>\n",
       "      <th>REPLICATION SAMPLE SIZE</th>\n",
       "      <th>...</th>\n",
       "      <th>CONTEXT</th>\n",
       "      <th>INTERGENIC</th>\n",
       "      <th>RISK ALLELE FREQUENCY</th>\n",
       "      <th>P-VALUE</th>\n",
       "      <th>PVALUE_MLOG</th>\n",
       "      <th>P-VALUE (TEXT)</th>\n",
       "      <th>OR or BETA</th>\n",
       "      <th>95% CI (TEXT)</th>\n",
       "      <th>PLATFORM [SNPS PASSING QC]</th>\n",
       "      <th>CNV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9308</th>\n",
       "      <td>2013-09-12</td>\n",
       "      <td>23535733</td>\n",
       "      <td>Garcia-Closas M</td>\n",
       "      <td>2013-04-01</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/23535733</td>\n",
       "      <td>Genome-wide association studies identify four ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>4,193 European ancestry cases, 35,194 European...</td>\n",
       "      <td>6,514 European ancestry cases, 41,455 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>stop_gained</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.496</td>\n",
       "      <td>6e-06</td>\n",
       "      <td>5.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.520000</td>\n",
       "      <td>[1.31-1.77]</td>\n",
       "      <td>Illumina [NR]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10954</th>\n",
       "      <td>2014-05-12</td>\n",
       "      <td>24097068</td>\n",
       "      <td>Willer CJ</td>\n",
       "      <td>2013-10-06</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/24097068</td>\n",
       "      <td>Discovery and refinement of loci associated wi...</td>\n",
       "      <td>LDL cholesterol</td>\n",
       "      <td>94,595 European ancestry individuals</td>\n",
       "      <td>93,982 European ancestry individuals</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.48</td>\n",
       "      <td>2e-11</td>\n",
       "      <td>10.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.024000</td>\n",
       "      <td>[NR] unit increase</td>\n",
       "      <td>NR [NR] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17867</th>\n",
       "      <td>2013-09-12</td>\n",
       "      <td>23535729</td>\n",
       "      <td>Michailidou K</td>\n",
       "      <td>2013-04-01</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/23535729</td>\n",
       "      <td>Large-scale genotyping identifies 41 new loci ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>10,052 European ancestry cases, 12,575 Europea...</td>\n",
       "      <td>45,290 European ancestry cases, 41,880 Europea...</td>\n",
       "      <td>...</td>\n",
       "      <td>stop_gained</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0080</td>\n",
       "      <td>5e-08</td>\n",
       "      <td>7.301030</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.260000</td>\n",
       "      <td>[1.14-1.39]</td>\n",
       "      <td>Affymetrix, Illumina [~ 2600000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18831</th>\n",
       "      <td>2017-09-18</td>\n",
       "      <td>28604730</td>\n",
       "      <td>McKay JD</td>\n",
       "      <td>2017-06-12</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/28604730</td>\n",
       "      <td>Large-scale association analysis identifies ne...</td>\n",
       "      <td>Lung cancer</td>\n",
       "      <td>29,266 European ancestry cases, 56,450 Europea...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>stop_gained</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010904125</td>\n",
       "      <td>6e-16</td>\n",
       "      <td>15.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.603498</td>\n",
       "      <td>[1.430101714-1.797917759]</td>\n",
       "      <td>Illumina [10439017] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18934</th>\n",
       "      <td>2017-09-18</td>\n",
       "      <td>28604730</td>\n",
       "      <td>McKay JD</td>\n",
       "      <td>2017-06-12</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/28604730</td>\n",
       "      <td>Large-scale association analysis identifies ne...</td>\n",
       "      <td>Squamous cell lung carcinoma</td>\n",
       "      <td>7,426 European ancestry cases, 55,627 European...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010732274</td>\n",
       "      <td>1e-15</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.125263</td>\n",
       "      <td>[1.768050378-2.554646438]</td>\n",
       "      <td>Illumina [10439017] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18988</th>\n",
       "      <td>2017-09-18</td>\n",
       "      <td>28604730</td>\n",
       "      <td>McKay JD</td>\n",
       "      <td>2017-06-12</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/28604730</td>\n",
       "      <td>Large-scale association analysis identifies ne...</td>\n",
       "      <td>Small cell lung carcinoma</td>\n",
       "      <td>2,664 European ancestry cases,  21,444 Europea...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>stop_gained</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.009562644</td>\n",
       "      <td>3e-08</td>\n",
       "      <td>7.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.194066</td>\n",
       "      <td>[1.66261291-2.89539903]</td>\n",
       "      <td>Illumina [10439017] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25094</th>\n",
       "      <td>2017-09-18</td>\n",
       "      <td>28604730</td>\n",
       "      <td>McKay JD</td>\n",
       "      <td>2017-06-12</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/28604730</td>\n",
       "      <td>Large-scale association analysis identifies ne...</td>\n",
       "      <td>Lung cancer in ever smokers</td>\n",
       "      <td>23,223 European ancestry cases,  16,964 Europe...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>stop_gained</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.011377544</td>\n",
       "      <td>6e-08</td>\n",
       "      <td>7.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.494685</td>\n",
       "      <td>[1.292873756-1.727997028]</td>\n",
       "      <td>Illumina [10439017] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27113</th>\n",
       "      <td>2015-01-21</td>\n",
       "      <td>24880342</td>\n",
       "      <td>Wang Y</td>\n",
       "      <td>2014-06-01</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/24880342</td>\n",
       "      <td>Rare variants of large effect in BRCA2 and CHE...</td>\n",
       "      <td>Lung cancer</td>\n",
       "      <td>3,442 European ancestry adenocarcinoma cases, ...</td>\n",
       "      <td>3,589 European ancestry adenocarcinoma cases, ...</td>\n",
       "      <td>...</td>\n",
       "      <td>stop_gained</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.011</td>\n",
       "      <td>2e-19</td>\n",
       "      <td>18.698970</td>\n",
       "      <td>(All lung cancer)</td>\n",
       "      <td>1.830000</td>\n",
       "      <td>[1.61-2.09]</td>\n",
       "      <td>Illumina [8900000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27115</th>\n",
       "      <td>2015-01-21</td>\n",
       "      <td>24880342</td>\n",
       "      <td>Wang Y</td>\n",
       "      <td>2014-06-01</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/24880342</td>\n",
       "      <td>Rare variants of large effect in BRCA2 and CHE...</td>\n",
       "      <td>Lung cancer</td>\n",
       "      <td>3,442 European ancestry adenocarcinoma cases, ...</td>\n",
       "      <td>3,589 European ancestry adenocarcinoma cases, ...</td>\n",
       "      <td>...</td>\n",
       "      <td>stop_gained</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0105</td>\n",
       "      <td>5e-20</td>\n",
       "      <td>19.301030</td>\n",
       "      <td>(Squamous cell carcinoma)</td>\n",
       "      <td>2.470000</td>\n",
       "      <td>[2.03-3.00]</td>\n",
       "      <td>Illumina [8900000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41192</th>\n",
       "      <td>2017-02-03</td>\n",
       "      <td>27197191</td>\n",
       "      <td>Fehringer G</td>\n",
       "      <td>2016-04-20</td>\n",
       "      <td>Cancer Res</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/27197191</td>\n",
       "      <td>Cross-cancer genome-wide analysis of lung, ova...</td>\n",
       "      <td>Cancer</td>\n",
       "      <td>5,020 European ancestry lung cancer cases, 3,7...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>stop_gained</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>8E-12</td>\n",
       "      <td>11.096910</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.600000</td>\n",
       "      <td>[NR]</td>\n",
       "      <td>Affymetrix, Illumina [9916564] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41215</th>\n",
       "      <td>2017-02-03</td>\n",
       "      <td>27197191</td>\n",
       "      <td>Fehringer G</td>\n",
       "      <td>2016-04-20</td>\n",
       "      <td>Cancer Res</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/27197191</td>\n",
       "      <td>Cross-cancer genome-wide analysis of lung, ova...</td>\n",
       "      <td>Cancer (pleiotropy)</td>\n",
       "      <td>5,020 European ancestry lung cancer cases, 3,7...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>5E-10</td>\n",
       "      <td>9.301030</td>\n",
       "      <td>(subset analysis)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affymetrix, Illumina [9916564] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41316</th>\n",
       "      <td>2017-03-31</td>\n",
       "      <td>27117709</td>\n",
       "      <td>Couch FJ</td>\n",
       "      <td>2016-04-27</td>\n",
       "      <td>Nat Commun</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/27117709</td>\n",
       "      <td>Identification of four novel susceptibility lo...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>4,939 European ancestry cases, 14,352 European...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>stop_gained</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>6E-6</td>\n",
       "      <td>5.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.320000</td>\n",
       "      <td>[1.20-1.43]</td>\n",
       "      <td>Illumina [10909381] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53139</th>\n",
       "      <td>2017-06-26</td>\n",
       "      <td>28334899</td>\n",
       "      <td>Spracklen CN</td>\n",
       "      <td>2017-02-21</td>\n",
       "      <td>Hum Mol Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/28334899</td>\n",
       "      <td>Association analyses of East Asian individuals...</td>\n",
       "      <td>LDL cholesterol levels</td>\n",
       "      <td>22,526 East Asian ancestry individuals</td>\n",
       "      <td>37,842 East Asian ancestry individuals</td>\n",
       "      <td>...</td>\n",
       "      <td>synonymous_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.62</td>\n",
       "      <td>3e-08</td>\n",
       "      <td>7.522879</td>\n",
       "      <td>(BMI adjusted)</td>\n",
       "      <td>0.036700</td>\n",
       "      <td>[0.023-0.05] unit increase</td>\n",
       "      <td>Affymetrix, Illumina [~ 2400000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53177</th>\n",
       "      <td>2017-06-26</td>\n",
       "      <td>28334899</td>\n",
       "      <td>Spracklen CN</td>\n",
       "      <td>2017-02-21</td>\n",
       "      <td>Hum Mol Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/28334899</td>\n",
       "      <td>Association analyses of East Asian individuals...</td>\n",
       "      <td>LDL cholesterol levels</td>\n",
       "      <td>32,285 East Asian ancestry individuals, 173,08...</td>\n",
       "      <td>8,478 Chinese ancestry individuals</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.462</td>\n",
       "      <td>5e-14</td>\n",
       "      <td>13.301030</td>\n",
       "      <td>(Trans-ethnic initial)</td>\n",
       "      <td>0.024300</td>\n",
       "      <td>[0.017-0.032] unit increase (EA Beta value)</td>\n",
       "      <td>Affymetrix, Illumina [~ 1900000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53193</th>\n",
       "      <td>2017-06-26</td>\n",
       "      <td>28334899</td>\n",
       "      <td>Spracklen CN</td>\n",
       "      <td>2017-02-21</td>\n",
       "      <td>Hum Mol Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/28334899</td>\n",
       "      <td>Association analyses of East Asian individuals...</td>\n",
       "      <td>LDL cholesterol levels</td>\n",
       "      <td>32,285 East Asian ancestry individuals, 173,08...</td>\n",
       "      <td>8,478 Chinese ancestry individuals</td>\n",
       "      <td>...</td>\n",
       "      <td>synonymous_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.63</td>\n",
       "      <td>3e-09</td>\n",
       "      <td>8.522879</td>\n",
       "      <td>(Asian initial, BMI unadjusted)</td>\n",
       "      <td>0.052000</td>\n",
       "      <td>[0.034-0.07] unit increase</td>\n",
       "      <td>Affymetrix, Illumina [~ 1900000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60707</th>\n",
       "      <td>2017-11-14</td>\n",
       "      <td>25751625</td>\n",
       "      <td>Michailidou K</td>\n",
       "      <td>2015-04-01</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/25751625</td>\n",
       "      <td>Genome-wide association analysis of more than ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>15,748 European ancestry cases, 18,084 Europea...</td>\n",
       "      <td>46,785 European ancestry cases, 42,892 Europea...</td>\n",
       "      <td>...</td>\n",
       "      <td>stop_gained</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>6e-07</td>\n",
       "      <td>6.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.270000</td>\n",
       "      <td>[1.15-1.4]</td>\n",
       "      <td>Affymetrix, Illumina [~ 11600000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62999</th>\n",
       "      <td>2017-11-30</td>\n",
       "      <td>29059683</td>\n",
       "      <td>Michailidou K</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nature</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29059683</td>\n",
       "      <td>Association analysis identifies 65 new breast ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>76,192 European ancestry cases, 63,082 Europea...</td>\n",
       "      <td>46,785 European ancestry cases, 42,892 Europea...</td>\n",
       "      <td>...</td>\n",
       "      <td>stop_gained</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>3e-15</td>\n",
       "      <td>14.522879</td>\n",
       "      <td>(EA)</td>\n",
       "      <td>1.350000</td>\n",
       "      <td>[1.23-1.48] (Oncoarray)</td>\n",
       "      <td>Illumina [~ 11800000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63747</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>stop_gained</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>2e-13</td>\n",
       "      <td>12.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.580000</td>\n",
       "      <td>[1.35-1.84] (Oncoarray)</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>18 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      DATE ADDED TO CATALOG  PUBMEDID     FIRST AUTHOR        DATE  \\\n",
       "9308             2013-09-12  23535733  Garcia-Closas M  2013-04-01   \n",
       "10954            2014-05-12  24097068        Willer CJ  2013-10-06   \n",
       "17867            2013-09-12  23535729    Michailidou K  2013-04-01   \n",
       "18831            2017-09-18  28604730         McKay JD  2017-06-12   \n",
       "18934            2017-09-18  28604730         McKay JD  2017-06-12   \n",
       "18988            2017-09-18  28604730         McKay JD  2017-06-12   \n",
       "25094            2017-09-18  28604730         McKay JD  2017-06-12   \n",
       "27113            2015-01-21  24880342           Wang Y  2014-06-01   \n",
       "27115            2015-01-21  24880342           Wang Y  2014-06-01   \n",
       "41192            2017-02-03  27197191      Fehringer G  2016-04-20   \n",
       "41215            2017-02-03  27197191      Fehringer G  2016-04-20   \n",
       "41316            2017-03-31  27117709         Couch FJ  2016-04-27   \n",
       "53139            2017-06-26  28334899     Spracklen CN  2017-02-21   \n",
       "53177            2017-06-26  28334899     Spracklen CN  2017-02-21   \n",
       "53193            2017-06-26  28334899     Spracklen CN  2017-02-21   \n",
       "60707            2017-11-14  25751625    Michailidou K  2015-04-01   \n",
       "62999            2017-11-30  29059683    Michailidou K  2017-10-23   \n",
       "63747            2017-12-19  29058716         Milne RL  2017-10-23   \n",
       "\n",
       "             JOURNAL                                  LINK  \\\n",
       "9308       Nat Genet  www.ncbi.nlm.nih.gov/pubmed/23535733   \n",
       "10954      Nat Genet  www.ncbi.nlm.nih.gov/pubmed/24097068   \n",
       "17867      Nat Genet  www.ncbi.nlm.nih.gov/pubmed/23535729   \n",
       "18831      Nat Genet  www.ncbi.nlm.nih.gov/pubmed/28604730   \n",
       "18934      Nat Genet  www.ncbi.nlm.nih.gov/pubmed/28604730   \n",
       "18988      Nat Genet  www.ncbi.nlm.nih.gov/pubmed/28604730   \n",
       "25094      Nat Genet  www.ncbi.nlm.nih.gov/pubmed/28604730   \n",
       "27113      Nat Genet  www.ncbi.nlm.nih.gov/pubmed/24880342   \n",
       "27115      Nat Genet  www.ncbi.nlm.nih.gov/pubmed/24880342   \n",
       "41192     Cancer Res  www.ncbi.nlm.nih.gov/pubmed/27197191   \n",
       "41215     Cancer Res  www.ncbi.nlm.nih.gov/pubmed/27197191   \n",
       "41316     Nat Commun  www.ncbi.nlm.nih.gov/pubmed/27117709   \n",
       "53139  Hum Mol Genet  www.ncbi.nlm.nih.gov/pubmed/28334899   \n",
       "53177  Hum Mol Genet  www.ncbi.nlm.nih.gov/pubmed/28334899   \n",
       "53193  Hum Mol Genet  www.ncbi.nlm.nih.gov/pubmed/28334899   \n",
       "60707      Nat Genet  www.ncbi.nlm.nih.gov/pubmed/25751625   \n",
       "62999         Nature  www.ncbi.nlm.nih.gov/pubmed/29059683   \n",
       "63747      Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "\n",
       "                                                   STUDY  \\\n",
       "9308   Genome-wide association studies identify four ...   \n",
       "10954  Discovery and refinement of loci associated wi...   \n",
       "17867  Large-scale genotyping identifies 41 new loci ...   \n",
       "18831  Large-scale association analysis identifies ne...   \n",
       "18934  Large-scale association analysis identifies ne...   \n",
       "18988  Large-scale association analysis identifies ne...   \n",
       "25094  Large-scale association analysis identifies ne...   \n",
       "27113  Rare variants of large effect in BRCA2 and CHE...   \n",
       "27115  Rare variants of large effect in BRCA2 and CHE...   \n",
       "41192  Cross-cancer genome-wide analysis of lung, ova...   \n",
       "41215  Cross-cancer genome-wide analysis of lung, ova...   \n",
       "41316  Identification of four novel susceptibility lo...   \n",
       "53139  Association analyses of East Asian individuals...   \n",
       "53177  Association analyses of East Asian individuals...   \n",
       "53193  Association analyses of East Asian individuals...   \n",
       "60707  Genome-wide association analysis of more than ...   \n",
       "62999  Association analysis identifies 65 new breast ...   \n",
       "63747  Identification of ten variants associated with...   \n",
       "\n",
       "                                    DISEASE/TRAIT  \\\n",
       "9308                                Breast cancer   \n",
       "10954                             LDL cholesterol   \n",
       "17867                               Breast cancer   \n",
       "18831                                 Lung cancer   \n",
       "18934                Squamous cell lung carcinoma   \n",
       "18988                   Small cell lung carcinoma   \n",
       "25094                 Lung cancer in ever smokers   \n",
       "27113                                 Lung cancer   \n",
       "27115                                 Lung cancer   \n",
       "41192                                      Cancer   \n",
       "41215                         Cancer (pleiotropy)   \n",
       "41316  Breast cancer (estrogen-receptor negative)   \n",
       "53139                      LDL cholesterol levels   \n",
       "53177                      LDL cholesterol levels   \n",
       "53193                      LDL cholesterol levels   \n",
       "60707                               Breast cancer   \n",
       "62999                               Breast cancer   \n",
       "63747  Breast cancer (estrogen-receptor negative)   \n",
       "\n",
       "                                     INITIAL SAMPLE SIZE  \\\n",
       "9308   4,193 European ancestry cases, 35,194 European...   \n",
       "10954               94,595 European ancestry individuals   \n",
       "17867  10,052 European ancestry cases, 12,575 Europea...   \n",
       "18831  29,266 European ancestry cases, 56,450 Europea...   \n",
       "18934  7,426 European ancestry cases, 55,627 European...   \n",
       "18988  2,664 European ancestry cases,  21,444 Europea...   \n",
       "25094  23,223 European ancestry cases,  16,964 Europe...   \n",
       "27113  3,442 European ancestry adenocarcinoma cases, ...   \n",
       "27115  3,442 European ancestry adenocarcinoma cases, ...   \n",
       "41192  5,020 European ancestry lung cancer cases, 3,7...   \n",
       "41215  5,020 European ancestry lung cancer cases, 3,7...   \n",
       "41316  4,939 European ancestry cases, 14,352 European...   \n",
       "53139             22,526 East Asian ancestry individuals   \n",
       "53177  32,285 East Asian ancestry individuals, 173,08...   \n",
       "53193  32,285 East Asian ancestry individuals, 173,08...   \n",
       "60707  15,748 European ancestry cases, 18,084 Europea...   \n",
       "62999  76,192 European ancestry cases, 63,082 Europea...   \n",
       "63747  14,135 European ancestry cases, 58,126 Europea...   \n",
       "\n",
       "                                 REPLICATION SAMPLE SIZE ...   \\\n",
       "9308   6,514 European ancestry cases, 41,455 European... ...    \n",
       "10954               93,982 European ancestry individuals ...    \n",
       "17867  45,290 European ancestry cases, 41,880 Europea... ...    \n",
       "18831                                                NaN ...    \n",
       "18934                                                NaN ...    \n",
       "18988                                                NaN ...    \n",
       "25094                                                NaN ...    \n",
       "27113  3,589 European ancestry adenocarcinoma cases, ... ...    \n",
       "27115  3,589 European ancestry adenocarcinoma cases, ... ...    \n",
       "41192                                                NaN ...    \n",
       "41215                                                NaN ...    \n",
       "41316  7,333 European ancestry cases, 42,468 European... ...    \n",
       "53139             37,842 East Asian ancestry individuals ...    \n",
       "53177                 8,478 Chinese ancestry individuals ...    \n",
       "53193                 8,478 Chinese ancestry individuals ...    \n",
       "60707  46,785 European ancestry cases, 42,892 Europea... ...    \n",
       "62999  46,785 European ancestry cases, 42,892 Europea... ...    \n",
       "63747  7,333 European ancestry cases, 42,468 European... ...    \n",
       "\n",
       "                  CONTEXT INTERGENIC RISK ALLELE FREQUENCY P-VALUE  \\\n",
       "9308          stop_gained        0.0                 0.496   6e-06   \n",
       "10954      intron_variant        0.0                  0.48   2e-11   \n",
       "17867         stop_gained        0.0                0.0080   5e-08   \n",
       "18831         stop_gained        0.0           0.010904125   6e-16   \n",
       "18934      intron_variant        0.0           0.010732274   1e-15   \n",
       "18988         stop_gained        0.0           0.009562644   3e-08   \n",
       "25094         stop_gained        0.0           0.011377544   6e-08   \n",
       "27113         stop_gained        0.0                 0.011   2e-19   \n",
       "27115         stop_gained        0.0                0.0105   5e-20   \n",
       "41192         stop_gained        0.0                    NR   8E-12   \n",
       "41215      intron_variant        0.0                    NR   5E-10   \n",
       "41316         stop_gained        0.0                  0.01    6E-6   \n",
       "53139  synonymous_variant        0.0                  0.62   3e-08   \n",
       "53177      intron_variant        0.0                 0.462   5e-14   \n",
       "53193  synonymous_variant        0.0                  0.63   3e-09   \n",
       "60707         stop_gained        0.0                  0.01   6e-07   \n",
       "62999         stop_gained        0.0                  0.01   3e-15   \n",
       "63747         stop_gained        0.0                  0.01   2e-13   \n",
       "\n",
       "      PVALUE_MLOG                   P-VALUE (TEXT)  OR or BETA  \\\n",
       "9308     5.221849                              NaN    1.520000   \n",
       "10954   10.698970                              NaN    0.024000   \n",
       "17867    7.301030                              NaN    1.260000   \n",
       "18831   15.221849                              NaN    1.603498   \n",
       "18934   15.000000                              NaN    2.125263   \n",
       "18988    7.522879                              NaN    2.194066   \n",
       "25094    7.221849                              NaN    1.494685   \n",
       "27113   18.698970                (All lung cancer)    1.830000   \n",
       "27115   19.301030        (Squamous cell carcinoma)    2.470000   \n",
       "41192   11.096910                              NaN    1.600000   \n",
       "41215    9.301030                (subset analysis)         NaN   \n",
       "41316    5.221849                              NaN    1.320000   \n",
       "53139    7.522879                   (BMI adjusted)    0.036700   \n",
       "53177   13.301030           (Trans-ethnic initial)    0.024300   \n",
       "53193    8.522879  (Asian initial, BMI unadjusted)    0.052000   \n",
       "60707    6.221849                              NaN    1.270000   \n",
       "62999   14.522879                             (EA)    1.350000   \n",
       "63747   12.698970                              NaN    1.580000   \n",
       "\n",
       "                                     95% CI (TEXT)  \\\n",
       "9308                                   [1.31-1.77]   \n",
       "10954                           [NR] unit increase   \n",
       "17867                                  [1.14-1.39]   \n",
       "18831                    [1.430101714-1.797917759]   \n",
       "18934                    [1.768050378-2.554646438]   \n",
       "18988                      [1.66261291-2.89539903]   \n",
       "25094                    [1.292873756-1.727997028]   \n",
       "27113                                  [1.61-2.09]   \n",
       "27115                                  [2.03-3.00]   \n",
       "41192                                         [NR]   \n",
       "41215                                          NaN   \n",
       "41316                                  [1.20-1.43]   \n",
       "53139                   [0.023-0.05] unit increase   \n",
       "53177  [0.017-0.032] unit increase (EA Beta value)   \n",
       "53193                   [0.034-0.07] unit increase   \n",
       "60707                                   [1.15-1.4]   \n",
       "62999                      [1.23-1.48] (Oncoarray)   \n",
       "63747                      [1.35-1.84] (Oncoarray)   \n",
       "\n",
       "                        PLATFORM [SNPS PASSING QC]  CNV  \n",
       "9308                                 Illumina [NR]    N  \n",
       "10954                            NR [NR] (imputed)    N  \n",
       "17867   Affymetrix, Illumina [~ 2600000] (imputed)    N  \n",
       "18831                Illumina [10439017] (imputed)    N  \n",
       "18934                Illumina [10439017] (imputed)    N  \n",
       "18988                Illumina [10439017] (imputed)    N  \n",
       "25094                Illumina [10439017] (imputed)    N  \n",
       "27113                 Illumina [8900000] (imputed)    N  \n",
       "27115                 Illumina [8900000] (imputed)    N  \n",
       "41192     Affymetrix, Illumina [9916564] (imputed)    N  \n",
       "41215     Affymetrix, Illumina [9916564] (imputed)    N  \n",
       "41316                Illumina [10909381] (imputed)    N  \n",
       "53139   Affymetrix, Illumina [~ 2400000] (imputed)    N  \n",
       "53177   Affymetrix, Illumina [~ 1900000] (imputed)    N  \n",
       "53193   Affymetrix, Illumina [~ 1900000] (imputed)    N  \n",
       "60707  Affymetrix, Illumina [~ 11600000] (imputed)    N  \n",
       "62999              Illumina [~ 11800000] (imputed)    N  \n",
       "63747              Illumina [~ 11500000] (imputed)    N  \n",
       "\n",
       "[18 rows x 34 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas[gwas['MAPPED_GENE'] == 'BRCA2']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Όλα τα διαφορετικά Diseases / Traits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['YKL-40 levels', 'Psoriasis', 'Lung cancer', ...,\n",
       "       'Bipolar disorder lithium response (categorical) or schizophrenia',\n",
       "       'Fractures (vertebral)', 'Response to mepolizumab in severe asthma'], dtype=object)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas[\"DISEASE/TRAIT\"].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "ή μπορούμε να πάρουμε μία λίστα:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['YKL-40 levels',\n",
       " 'Psoriasis',\n",
       " 'Lung cancer',\n",
       " 'Nicotine dependence',\n",
       " 'Colorectal cancer',\n",
       " 'Type 2 diabetes',\n",
       " 'Breast cancer',\n",
       " 'Schizophrenia',\n",
       " 'Urate levels',\n",
       " 'Celiac disease',\n",
       " 'Prostate cancer',\n",
       " 'LDL cholesterol',\n",
       " 'Fetal hemoglobin levels',\n",
       " 'Recombination rate (females)',\n",
       " 'Recombination rate (males)',\n",
       " 'Iris color',\n",
       " 'Systemic lupus erythematosus',\n",
       " 'Type 1 diabetes',\n",
       " 'HDL cholesterol',\n",
       " 'Triglycerides',\n",
       " 'Height',\n",
       " 'Amyotrophic lateral sclerosis',\n",
       " 'Coronary spasm',\n",
       " 'Rheumatoid arthritis',\n",
       " 'Blond vs. brown hair color',\n",
       " 'Blue vs. green eyes',\n",
       " 'Freckles',\n",
       " 'Skin pigmentation',\n",
       " 'Select biomarker traits',\n",
       " 'Body mass index',\n",
       " 'Waist circumference',\n",
       " 'Sleep-related phenotypes',\n",
       " 'Cystatin C',\n",
       " 'Thyroid stimulating hormone',\n",
       " 'Urinary albumin excretion',\n",
       " 'Bone mineral density',\n",
       " 'Hip geometry',\n",
       " 'Atrial fibrillation',\n",
       " 'Heart failure',\n",
       " 'Major CVD',\n",
       " 'Blood pressure',\n",
       " 'Tonometry',\n",
       " 'Morbidity-free survival',\n",
       " 'Aging traits',\n",
       " 'Diabetes related insulin traits',\n",
       " 'Fasting plasma glucose',\n",
       " 'Diabetes (incident)',\n",
       " 'Electrocardiographic traits',\n",
       " 'Heart rate variability traits',\n",
       " 'Coronary artery calcification',\n",
       " 'Subclinical atherosclerosis traits (other)',\n",
       " 'Cognitive test performance',\n",
       " 'Volumetric brain MRI',\n",
       " 'Echocardiographic traits',\n",
       " 'Endothelial function traits',\n",
       " 'Exercise treadmill test traits',\n",
       " 'Mean forced vital capacity from 2 exams',\n",
       " 'Pulmonary function',\n",
       " 'Factor VII',\n",
       " 'Hemostatic factors and hematological phenotypes',\n",
       " \"Crohn's disease\",\n",
       " 'F-cell distribution',\n",
       " 'Glaucoma (exfoliation)',\n",
       " 'Type 2 diabetes nephropathy',\n",
       " 'Neuroticism',\n",
       " 'Multiple sclerosis',\n",
       " 'Asthma',\n",
       " 'Obesity-related traits',\n",
       " 'Restless legs syndrome',\n",
       " 'Coronary heart disease',\n",
       " 'Gallstone disease',\n",
       " 'Atrial fibrillation/atrial flutter',\n",
       " 'Bipolar disorder',\n",
       " 'Hypertension',\n",
       " 'Stroke',\n",
       " 'Myocardial infarction',\n",
       " 'Age-related macular degeneration (wet)',\n",
       " \"Parkinson's disease\",\n",
       " 'QT interval',\n",
       " 'Age-related macular degeneration',\n",
       " 'C-reactive protein',\n",
       " \"Alzheimer's disease (late onset)\",\n",
       " 'Melanoma',\n",
       " 'Black vs. blond hair color',\n",
       " 'Protein quantitative trait loci',\n",
       " 'Neuroblastoma',\n",
       " 'Knee osteoarthritis',\n",
       " 'Waist circumference and related phenotypes',\n",
       " 'Bone mineral density (spine)',\n",
       " 'Black vs. red hair color',\n",
       " 'Bone mineral density (hip)',\n",
       " 'Response to iloperidone treatment (QT prolongation)',\n",
       " 'Warfarin maintenance dose',\n",
       " 'Red vs. non-red hair color',\n",
       " 'Burning and freckling',\n",
       " 'End-stage renal disease',\n",
       " 'Skin sensitivity to sun',\n",
       " 'Osteonecrosis of the jaw',\n",
       " 'Arthritis (juvenile idiopathic)',\n",
       " 'Soluble ICAM-1',\n",
       " 'Response to TNF antagonist treatment',\n",
       " \"Crohn's disease and sarcoidosis (combined)\",\n",
       " 'Response to diuretic therapy',\n",
       " 'Chronic lymphocytic leukemia',\n",
       " 'IgE levels',\n",
       " 'Inflammatory bowel disease',\n",
       " 'Vitamin B12 levels',\n",
       " 'Obesity (early onset extreme)',\n",
       " \"Alzheimer's disease\",\n",
       " 'Red vs non-red hair color',\n",
       " 'Blue vs. brown eyes',\n",
       " 'Response to statin therapy',\n",
       " 'Urinary bladder cancer',\n",
       " 'Narcolepsy',\n",
       " 'Hip bone size',\n",
       " 'Uric acid levels',\n",
       " 'Attention deficit hyperactivity disorder',\n",
       " 'Ulcerative colitis',\n",
       " 'Male-pattern baldness',\n",
       " 'Basal cell carcinoma',\n",
       " 'Idiopathic pulmonary fibrosis',\n",
       " 'Liver enzyme levels',\n",
       " 'Intracranial aneurysm',\n",
       " 'Brain imaging in schizophrenia (dorsolateral prefrontal cortex interaction)',\n",
       " 'Stroke (ischemic)',\n",
       " 'Personality dimensions',\n",
       " \"Parkinson's disease (familial)\",\n",
       " 'Attention deficit hyperactivity disorder and conduct disorder',\n",
       " 'Cholesterol, total',\n",
       " 'Metabolite levels',\n",
       " 'Metabolic traits',\n",
       " 'Multiple sclerosis (age of onset)',\n",
       " 'Multiple sclerosis (severity)',\n",
       " 'Normalized brain volume',\n",
       " 'Brain lesion load',\n",
       " 'Iron status biomarkers',\n",
       " 'Mean platelet volume',\n",
       " 'AIDS progression',\n",
       " 'Kawasaki disease',\n",
       " 'Lp (a) levels',\n",
       " 'Major depressive disorder',\n",
       " 'Creutzfeldt-Jakob disease',\n",
       " 'Adiponectin levels',\n",
       " 'Response to treatment for acute lymphoblastic leukemia',\n",
       " 'Essential tremor',\n",
       " 'Asthma (toluene diisocyanate-induced)',\n",
       " 'Pain',\n",
       " 'Panic disorder',\n",
       " 'Hirschsprung disease',\n",
       " 'Thyroid cancer',\n",
       " 'Eosinophil counts',\n",
       " 'Myocardial infarction (early onset)',\n",
       " 'Carotenoid and tocopherol levels',\n",
       " 'Otosclerosis',\n",
       " 'Body mass (lean)',\n",
       " 'Biochemical measures',\n",
       " 'Anthropometric traits',\n",
       " 'Orofacial clefts',\n",
       " 'Venous thromboembolism',\n",
       " 'Chronic obstructive pulmonary disease',\n",
       " 'Folate pathway vitamin levels',\n",
       " 'Myeloproliferative neoplasms',\n",
       " 'Anti-cyclic Citrullinated Peptide Antibody',\n",
       " 'Tanning',\n",
       " 'Atopic dermatitis',\n",
       " 'Hepatitis B',\n",
       " 'Telomere length',\n",
       " 'Aging',\n",
       " 'Biomedical quantitative traits',\n",
       " 'Hyperactive-impulsive symptoms',\n",
       " 'Inattentive symptoms',\n",
       " 'Attention deficit hyperactivity disorder (time to onset)',\n",
       " 'Electrocardiographic conduction measures',\n",
       " 'Neuroblastoma (high-risk)',\n",
       " 'Autism',\n",
       " 'Bilirubin levels',\n",
       " 'Systolic blood pressure',\n",
       " 'Diastolic blood pressure',\n",
       " 'Hypertension (young onset)',\n",
       " 'Renal function and chronic kidney disease',\n",
       " 'Menarche (age at onset)',\n",
       " 'Malaria',\n",
       " 'Menarche and menopause (age at onset)',\n",
       " 'Testicular cancer',\n",
       " 'Testicular germ cell tumor',\n",
       " 'Nasopharyngeal carcinoma',\n",
       " 'Left ventricular mass',\n",
       " 'Glycated hemoglobin levels',\n",
       " 'Drug-induced liver injury (flucloxacillin)',\n",
       " 'Male infertility',\n",
       " 'Quantitative traits',\n",
       " 'Kidney stones',\n",
       " 'Adiposity',\n",
       " 'Obesity (extreme)',\n",
       " 'Glioma',\n",
       " 'Glioma (high-grade)',\n",
       " 'Cutaneous nevi',\n",
       " 'Alcohol dependence',\n",
       " 'Acenocoumarol maintenance dosage',\n",
       " 'Follicular lymphoma',\n",
       " 'Pancreatic cancer',\n",
       " 'Cardiac structure and function',\n",
       " 'Aortic root size',\n",
       " 'Ovarian cancer',\n",
       " 'Bladder cancer',\n",
       " 'Response to antipsychotic treatment',\n",
       " 'Response to hepatitis C treatment',\n",
       " 'Acute lymphoblastic leukemia (childhood)',\n",
       " 'Esophageal cancer',\n",
       " 'Hippocampal atrophy',\n",
       " 'Asthma (childhood onset)',\n",
       " 'Type 2 diabetes and other traits',\n",
       " 'Obesity and osteoporosis',\n",
       " 'Soluble E-selectin levels',\n",
       " 'Exercise (leisure time)',\n",
       " 'AIDS',\n",
       " 'Myopia (pathological)',\n",
       " 'Speech perception in dyslexia',\n",
       " 'Hemoglobin',\n",
       " 'Hematological parameters',\n",
       " 'Other erythrocyte phenotypes',\n",
       " 'Hematocrit',\n",
       " 'Mean corpuscular hemoglobin',\n",
       " 'Hepatitis B vaccine response',\n",
       " 'Interstitial lung disease',\n",
       " 'Vascular endothelial growth factor levels',\n",
       " 'Cardiovascular disease risk factors',\n",
       " 'Systemic sclerosis',\n",
       " 'Drug-induced Stevens-Johnson syndrome or toxic epidermal necrolysis (SJS/TEN)',\n",
       " 'Hepcidin levels',\n",
       " 'Aging (time to death)',\n",
       " 'Plasma omega-3 polyunsaturated fatty acid levels (docosahexaenoic acid)',\n",
       " 'Aging (time to event)',\n",
       " 'Epirubicin-induced leukopenia',\n",
       " 'Meningioma',\n",
       " 'Nevirapine-induced rash',\n",
       " 'vWF and FVIII levels',\n",
       " 'Cortical thickness',\n",
       " 'Tardive dyskinesia',\n",
       " 'Iris characteristics',\n",
       " \"Graves' disease\",\n",
       " 'Butyrylcholinesterase levels',\n",
       " 'Osteoarthritis',\n",
       " 'Insulin resistance/response',\n",
       " 'Non-small cell lung cancer',\n",
       " 'Proinsulin levels',\n",
       " 'Coffee consumption',\n",
       " 'Coronary restenosis',\n",
       " 'Retinol levels',\n",
       " 'HPV seropositivity',\n",
       " 'Aspartate aminotransferase levels',\n",
       " 'Permanent tooth development',\n",
       " 'Gamma glutamyl transpeptidase',\n",
       " 'Stevens-Johnson syndrome and toxic epidermal necrolysis (SJS-TEN)',\n",
       " 'Thoracic aortic aneurysms and dissections',\n",
       " 'Carotid intima media thickness',\n",
       " 'Dental caries',\n",
       " 'Corneal structure',\n",
       " 'Testosterone levels',\n",
       " 'Response to antipsychotic therapy (extrapyramidal side effects)',\n",
       " 'Cytomegalovirus antibody response',\n",
       " 'Lipoprotein-associated phospholipase A2 activity and mass',\n",
       " 'Dengue shock syndrome',\n",
       " 'Smoking behavior',\n",
       " 'Renal cell carcinoma',\n",
       " 'Premature ovarian failure',\n",
       " 'Response to platinum-based agents',\n",
       " 'Leprosy',\n",
       " 'Scoliosis',\n",
       " 'Lipid traits',\n",
       " 'Liver enzyme levels (alanine transaminase)',\n",
       " 'Liver enzyme levels (alkaline phosphatase)',\n",
       " 'Liver enzyme levels (gamma-glutamyl transferase)',\n",
       " 'Gastric cancer',\n",
       " 'Renal sinus fat',\n",
       " 'White blood cell count',\n",
       " 'Cognitive decline',\n",
       " 'Abdominal aortic aneurysm',\n",
       " 'Response to anti-depressant treatment in major depressive disorder',\n",
       " 'Aortic stiffness',\n",
       " 'Allergic rhinitis',\n",
       " 'IgE grass sensitization',\n",
       " 'Gamma gluatamyl transferase levels',\n",
       " 'Femoral neck bone geometry',\n",
       " 'Depression and alcohol dependence',\n",
       " 'Hypothyroidism',\n",
       " 'Epilepsy',\n",
       " 'Multiple myeloma',\n",
       " 'Cognitive function',\n",
       " 'Corneal astigmatism',\n",
       " 'Ankylosing spondylitis',\n",
       " 'Response to gemcitabine in pancreatic cancer',\n",
       " 'Ovarian reserve',\n",
       " 'Creutzfeldt-Jakob disease (variant)',\n",
       " 'Psoriatic arthritis',\n",
       " 'HIV-1 viral setpoint',\n",
       " 'Conduct disorder (symptom count)',\n",
       " 'Conduct disorder',\n",
       " 'Hair color',\n",
       " \"Behcet's disease\",\n",
       " 'Eye color',\n",
       " 'Freckling',\n",
       " 'Common traits (Other)',\n",
       " 'Primary biliary cholangitis',\n",
       " 'Nephropathy',\n",
       " 'Peripheral artery disease',\n",
       " 'Lumiracoxib-related liver injury',\n",
       " 'Resting heart rate',\n",
       " 'Alopecia areata',\n",
       " 'Phosphorus levels',\n",
       " 'Ribavirin-induced anemia',\n",
       " 'Hematology traits',\n",
       " 'Hepatocellular carcinoma',\n",
       " 'Glomerulosclerosis',\n",
       " 'Tuberculosis',\n",
       " 'Meningococcal disease',\n",
       " 'Immunoglobulin A',\n",
       " 'Keloid',\n",
       " 'Neonatal lupus',\n",
       " 'Emphysema-related traits',\n",
       " 'Metabolic syndrome',\n",
       " 'Calcium levels',\n",
       " 'CD4:CD8 lymphocyte ratio',\n",
       " 'Magnesium levels',\n",
       " 'Chronic kidney disease and serum creatinine levels',\n",
       " 'Self-rated health',\n",
       " 'Schizophrenia, bipolar disorder and depression (combined)',\n",
       " 'Neuroticism (age interaction)',\n",
       " 'Hypertriglyceridemia',\n",
       " 'Esophageal cancer and gastric cancer',\n",
       " 'Central corneal thickness',\n",
       " 'Migraine',\n",
       " 'Bitter taste response',\n",
       " 'Lung adenocarcinoma',\n",
       " 'Refractive error',\n",
       " 'Non-alcoholic fatty liver disease histology (other)',\n",
       " 'Non-alcoholic fatty liver disease histology (lobular)',\n",
       " 'Non-alcoholic fatty liver disease histology (AST)',\n",
       " 'Multiple sclerosis--Brain Glutamate Levels',\n",
       " 'Protein C levels',\n",
       " 'Glaucoma (primary open-angle)',\n",
       " 'Depression (quantitative trait)',\n",
       " 'Endometriosis',\n",
       " 'Smoking cessation',\n",
       " \"Fuchs's corneal dystrophy\",\n",
       " 'Adverse response to aromatase inhibitors',\n",
       " 'Red blood cell traits',\n",
       " 'Suicidal ideation',\n",
       " 'Antipsychotic drug-induced QTc interval prolongation',\n",
       " 'Waist-hip ratio',\n",
       " 'Erectile dysfunction and prostate cancer treatment',\n",
       " 'Cerebrospinal fluid AB1-42 levels',\n",
       " 'Cerebrospinal T-tau levels',\n",
       " 'Cerebrospinal P-tau181p levels',\n",
       " 'Body mass in chronic obstructive pulmonary disease',\n",
       " 'Radiation response',\n",
       " \"Dupuytren's disease\",\n",
       " 'Suicide risk',\n",
       " \"Hodgkin's lymphoma\",\n",
       " 'Breast cancer in BRCA2 mutation carriers',\n",
       " 'Retinal vascular caliber',\n",
       " 'Moyamoya disease',\n",
       " 'Non-small cell lung cancer (survival)',\n",
       " 'Event-related brain oscillations',\n",
       " 'Atrioventricular conduction',\n",
       " 'Bipolar disorder and schizophrenia',\n",
       " 'QRS duration',\n",
       " 'Handedness in dyslexia',\n",
       " 'Anorexia nervosa',\n",
       " 'HIV-1 control',\n",
       " 'Weight',\n",
       " 'Hypospadias',\n",
       " 'Small-cell lung cancer (survival)',\n",
       " 'Response to antipsychotic treatment in schizophrenia (working memory)',\n",
       " 'Response to antipsychotic treatment in schizophrenia (reasoning)',\n",
       " 'Response to bleomycin (chromatid breaks)',\n",
       " 'Amyloid A serum levels',\n",
       " 'Primary sclerosing cholangitis',\n",
       " 'Ileal carcinoids',\n",
       " 'Polycystic ovary syndrome',\n",
       " 'Adverse response to carbamapezine',\n",
       " 'Asperger disorder',\n",
       " 'Response to acetaminophen (hepatotoxicity)',\n",
       " 'Hoarding',\n",
       " \"Alzheimer's disease biomarkers\",\n",
       " 'Progranulin levels',\n",
       " 'Bone mineral density (wrist)',\n",
       " 'Response to metformin in type 2 diabetes (glycemic)',\n",
       " 'HIV-1 susceptibility',\n",
       " 'N-glycan levels',\n",
       " 'Serum prostate-specific antigen levels',\n",
       " 'Information processing speed',\n",
       " 'HIV-1 progression',\n",
       " 'Chronic hepatitis C infection',\n",
       " 'Adolescent idiopathic scoliosis',\n",
       " 'Cardiac muscle measurement',\n",
       " 'Insulin-like growth factors',\n",
       " 'Thyroid cancer (Papillary, radiation-related)',\n",
       " 'Asparaginase hypersensitivity in acute lymphoblastic leukemia',\n",
       " 'Coronary artery disease',\n",
       " 'Response to tamoxifen in breast cancer',\n",
       " 'IgA nephropathy',\n",
       " 'Prion diseases',\n",
       " 'Non-obstructive azoospermia',\n",
       " 'Ankle-brachial index',\n",
       " 'Substance dependence',\n",
       " 'Anticoagulant levels',\n",
       " 'Life threatening arrhythmia',\n",
       " 'Diabetes (gestational)',\n",
       " 'Inflammatory biomarkers',\n",
       " 'Menopause (age at onset)',\n",
       " 'Breast cancer (survival)',\n",
       " 'Lymphocyte counts',\n",
       " 'Lipid metabolism phenotypes',\n",
       " 'Infantile hypertrophic pyloric stenosis',\n",
       " 'Gallbladder cancer',\n",
       " 'Hypertension risk in short sleep duration',\n",
       " 'Ewing sarcoma',\n",
       " 'Cardiac repolarization',\n",
       " 'Occipital cortical area (total cortical area interaction)',\n",
       " 'Body mass index (SNP x SNP interaction)',\n",
       " 'Facial morphology',\n",
       " 'Treatment response for severe sepsis',\n",
       " 'Temperament (bipolar disorder)',\n",
       " 'Response to statins (LDL cholesterol change)',\n",
       " 'Nephrolithiasis',\n",
       " 'Gaucher disease severity',\n",
       " 'Duodenal ulcer',\n",
       " 'Haptoglobin levels',\n",
       " 'Adverse response to lamotrigine and phenytoin',\n",
       " 'Thyrotoxic hypokalemic periodic paralysis',\n",
       " 'Sphingolipid levels',\n",
       " 'Phospholipid levels (plasma)',\n",
       " 'Body mass index and cholesterol (psychopharmacological treatment)',\n",
       " 'White matter integrity',\n",
       " 'Intelligence',\n",
       " 'Pulmonary function decline',\n",
       " 'Sexual dysfunction (SSRI/SNRI-related)',\n",
       " 'Schizophrenia (treatment resistant)',\n",
       " 'Chronic kidney disease',\n",
       " 'Brachial circumference',\n",
       " 'Glioblastoma',\n",
       " 'Lipid levels in hepatitis C treatment',\n",
       " 'Alcohol and nicotine co-dependence',\n",
       " 'Response to Vitamin E supplementation',\n",
       " 'Obesity',\n",
       " 'Sexual dysfunction (female)',\n",
       " 'Circulating cell-free DNA',\n",
       " 'Head circumference (infant)',\n",
       " 'Brain structure',\n",
       " 'Intracranial volume',\n",
       " 'Hippocampal volume',\n",
       " 'Thyroid function',\n",
       " 'Response to tocilizumab in rheumatoid arthritis',\n",
       " \"Crohn's disease and psoriasis\",\n",
       " 'Non-albumin protein levels',\n",
       " 'Intraocular pressure',\n",
       " 'Electroencephalographic traits in alcoholism',\n",
       " 'Response to TNF-alpha inhibitors in rheumatoid arthritis',\n",
       " 'HIV-associated dementia',\n",
       " 'Vitiligo',\n",
       " 'Antipsychotic drug-induced weight gain',\n",
       " 'Response to angiotensin II receptor blocker therapy',\n",
       " 'Response to angiotensin II receptor blocker therapy (opposite direction w/ diuretic therapy)',\n",
       " 'Pericardial fat',\n",
       " 'Percent mammographic density',\n",
       " 'Immune response to smallpox vaccine (IL-6)',\n",
       " 'Response to antidepressants',\n",
       " 'Coronary heart disease event reduction (statin therapy interaction)',\n",
       " 'Immune response to anthrax vaccine',\n",
       " \"Parkinson's disease (motor and cognition)\",\n",
       " 'Formal thought disorder in schizophrenia',\n",
       " 'Response to irinotecan in non-small-cell lung cancer',\n",
       " 'IgG levels',\n",
       " 'Vitamin D levels',\n",
       " 'Cholelithiasis-related traits in sickle cell anemia',\n",
       " 'Lung cancer (asbestos exposure interaction)',\n",
       " 'Wilms tumor',\n",
       " 'Sex hormone-binding globulin levels',\n",
       " 'Estradiol levels',\n",
       " 'Erectile dysfunction in type 1 diabetes',\n",
       " 'Activated partial thromboplastin time',\n",
       " 'Hepatitis B (viral clearance)',\n",
       " 'Lean body mass and age at menarche (combined)',\n",
       " 'Nonalcoholic fatty liver disease',\n",
       " 'Fasting insulin-related traits (BMI interaction)',\n",
       " 'Fasting glucose-related traits (BMI interaction)',\n",
       " 'Response to anti-TNF alpha therapy in inflammatory bowel disease',\n",
       " \"Crohn's disease and celiac disease\",\n",
       " 'C-reactive protein levels',\n",
       " 'Optic disc area',\n",
       " 'Natriuretic peptide levels',\n",
       " 'Diabetic retinopathy',\n",
       " 'PR interval',\n",
       " 'HIV-1 replication',\n",
       " 'Metabolic syndrome (bivariate traits)',\n",
       " 'HDL Cholesterol - Triglycerides (HDLC-TG)',\n",
       " 'Triglycerides-Blood Pressure (TG-BP)',\n",
       " 'Waist Circumference - Triglycerides (WC-TG)',\n",
       " 'Personality traits in bipolar disorder',\n",
       " 'Celiac disease or Rheumatoid arthritis',\n",
       " 'Drinking behavior',\n",
       " 'Cerivastatin-induced rhabdomyolysis',\n",
       " 'Cardiac hypertrophy',\n",
       " 'Alcohol consumption',\n",
       " 'Bipolar disorder (age of onset and psychotic symptoms)',\n",
       " 'Suicide attempts in bipolar disorder',\n",
       " 'Vaccine-related adverse events',\n",
       " 'Nephrotic syndrome (acquired)',\n",
       " 'Oral cavity and pharyngeal cancer',\n",
       " 'Idiopathic membranous nephropathy',\n",
       " '5-HTT brain serotonin transporter levels',\n",
       " 'Uterine fibroids',\n",
       " 'Large B-cell lymphoma',\n",
       " 'Neuranatomic and neurocognitive phenotypes',\n",
       " 'Endometrial cancer',\n",
       " 'Caffeine consumption',\n",
       " 'Response to interferon beta therapy',\n",
       " 'Response to platinum-based chemotherapy in non-small-cell lung cancer',\n",
       " 'Caudate nucleus volume',\n",
       " 'Dilated cardiomyopathy',\n",
       " 'D-dimer levels',\n",
       " 'Neutrophil count',\n",
       " 'Platelet count',\n",
       " 'Glaucoma',\n",
       " 'Dehydroepiandrosterone sulphate levels',\n",
       " 'Longevity',\n",
       " 'Attention deficit hyperactivity disorder motor coordination',\n",
       " 'Alcoholism (heaviness of drinking)',\n",
       " 'Alcoholism (alcohol use disorder factor score)',\n",
       " 'Alcoholism (alcohol dependence factor score)',\n",
       " 'Alcoholism (12-month weekly alcohol consumption)',\n",
       " 'Monocyte early outgrowth colony forming units',\n",
       " 'Urinary metabolites',\n",
       " 'Chronic myeloid leukemia',\n",
       " 'Dialysis-related mortality',\n",
       " 'Thyroid volume',\n",
       " 'Drug-induced liver injury (amoxicillin-clavulanate)',\n",
       " 'Osteoporosis',\n",
       " 'Cystic fibrosis severity',\n",
       " 'Platelet function and related traits',\n",
       " \"Paget's disease\",\n",
       " 'Response to antineoplastic agents',\n",
       " 'Alcohol consumption (transferrin glycosylation)',\n",
       " 'Corneal curvature',\n",
       " 'White matter hyperintensity burden',\n",
       " 'Sudden cardiac arrest',\n",
       " 'Progressive supranuclear palsy',\n",
       " 'Age at smoking initiation in chronic obstructive pulmonary disease',\n",
       " 'Cannabis dependence',\n",
       " \"Ulcerative colitis or Crohn's disease\",\n",
       " 'Erythrocyte sedimentation rate',\n",
       " 'White blood cell types',\n",
       " 'Vitamin E levels',\n",
       " 'IFN-related cytopenia',\n",
       " 'Fibrinogen',\n",
       " 'Mean corpuscular volume',\n",
       " 'Response to citalopram treatment',\n",
       " 'Iron levels',\n",
       " 'Homocysteine levels',\n",
       " 'Arterial stiffness',\n",
       " 'RR interval (heart rate)',\n",
       " 'Matrix metalloproteinase levels',\n",
       " 'Inflammatory bowel disease (early onset)',\n",
       " 'Periodontitis',\n",
       " 'Beta thalassemia/hemoglobin E disease',\n",
       " 'Atopy',\n",
       " 'Carotid atherosclerosis in HIV infection',\n",
       " 'Major depressive disorder (broad)',\n",
       " 'Cholesterol',\n",
       " 'Hearing impairment',\n",
       " 'Major mood disorders',\n",
       " 'Angiotensin-converting enzyme activity',\n",
       " 'Brain imaging',\n",
       " 'Fasting glucose-related traits',\n",
       " 'Fasting insulin-related traits',\n",
       " 'Two-hour glucose challenge',\n",
       " 'Response to clopidogrel therapy',\n",
       " 'Interleukin-18 levels',\n",
       " 'E-selectin levels',\n",
       " 'Soluble levels of adhesion molecules',\n",
       " 'Soluble leptin receptor levels',\n",
       " 'Osteoporosis-related phenotypes',\n",
       " 'Eosinophilic esophagitis (pediatric)',\n",
       " 'Functional MRI',\n",
       " 'C4b binding protein levels',\n",
       " 'Digit length ratio',\n",
       " 'Chemerin levels',\n",
       " 'Birth weight',\n",
       " 'Creatinine levels',\n",
       " 'Bipolar I disorder',\n",
       " 'Mortality in heart failure',\n",
       " 'Optic nerve measurement (disc area)',\n",
       " 'Cleft lip',\n",
       " 'Optic nerve measurement (cup area)',\n",
       " 'Optic nerve measurement (rim area)',\n",
       " 'Biliary atresia',\n",
       " 'Eye color traits',\n",
       " 'Platelet aggregation',\n",
       " 'Partial epilepsies',\n",
       " 'Phytosterol levels',\n",
       " 'End-stage renal disease (non-diabetic)',\n",
       " 'Testicular germ cell cancer',\n",
       " 'Vitamin D insufficiency',\n",
       " 'Optic disc parameters',\n",
       " 'Vertical cup-disc ratio',\n",
       " 'Cognitive performance',\n",
       " 'Stroke (pediatric)',\n",
       " 'Disc degeneration (lumbar)',\n",
       " 'Periodontal microbiota',\n",
       " 'Myasthenia gravis',\n",
       " 'Serum albumin level',\n",
       " 'Amyotrophic lateral sclerosis (age of onset)',\n",
       " 'Protein biomarker',\n",
       " 'HbA2 levels',\n",
       " 'Sarcoidosis',\n",
       " 'Apolipoprotein Levels',\n",
       " \"Barrett's esophagus\",\n",
       " 'Esophageal cancer  (alcohol interaction)',\n",
       " 'Monocyte chemoattractant protein-1 levels',\n",
       " 'Bipolar disorder with mood-incongruent psychosis',\n",
       " 'Response to taxane treatment (placlitaxel)',\n",
       " 'Response to taxane treatment (docetaxel)',\n",
       " 'Serum total protein level',\n",
       " 'Lung Cancer (DNA repair capacity)',\n",
       " 'IgM levels',\n",
       " 'Cholesterol and Triglycerides',\n",
       " 'Multiple cancers (lung cancer, gastric cancer, and squamous cell carcinoma)',\n",
       " 'Lipoprotein-associated phospholipase A2 activity change in response to statin therapy',\n",
       " 'Cataracts in type 2 diabetes',\n",
       " 'Serum tamsulosin hydrochloride concentration',\n",
       " 'Sagittal craniosynostosis',\n",
       " 'Response to fenofibrate (adiponectin levels)',\n",
       " 'Response to temozolomide',\n",
       " 'Pancreatitis',\n",
       " 'Aspirin exacerbated respiratory disease in asthmatics',\n",
       " 'Chronic obstructive pulmonary disease-related biomarkers',\n",
       " 'Opioid sensitivity',\n",
       " 'Spine bone size',\n",
       " 'Methotrexate clearance (acute lymphoblastic leukemia)',\n",
       " 'Aging (facial)',\n",
       " 'Hepatocellular carcinoma in hepatitis B infection',\n",
       " 'Prostate-specific antigen levels',\n",
       " 'Pulmonary function (smoking interaction)',\n",
       " 'Leishmaniasis (visceral)',\n",
       " 'Tumor biomarkers',\n",
       " 'Mean corpuscular hemoglobin concentration',\n",
       " 'White matter integrity (bipolar disorder risk interaction)',\n",
       " 'Gout',\n",
       " 'Brugada syndrome',\n",
       " 'Body mass index in asthmatics',\n",
       " 'Preeclampsia',\n",
       " 'Brain cytoarchitecture',\n",
       " 'Body mass index in non-asthmatics',\n",
       " 'Brain structure (temporal lobe volume)',\n",
       " 'Brain structure (hippocampal volume)',\n",
       " \"Crohn's disease (time to surgery)\",\n",
       " 'Allergic dermatitis (nickel)',\n",
       " 'Odorant perception (&beta;-damascenone)',\n",
       " 'Molar-incisor hypomineralization',\n",
       " 'Myopia (severe)',\n",
       " 'Axial length',\n",
       " 'IgE levels in asthmatics',\n",
       " 'IgE levels in asthmatics (D.p. specific)',\n",
       " 'IgE levels in asthmatics (D.f. specific)',\n",
       " 'Adverse response to chemotherapy (neutropenia/leucopenia) (carboplatin)',\n",
       " 'Adverse response to chemotherapy (neutropenia/leucopenia) (all antimicrotubule drugs)',\n",
       " 'Adverse response to chemotherapy (neutropenia/leucopenia) (paclitaxel)',\n",
       " 'Adverse response to chemotherapy (neutropenia/leucopenia) (cyclophosphamide)',\n",
       " 'Adverse response to chemotherapy (neutropenia/leucopenia) (all platinum-based drugs)',\n",
       " 'Adverse response to chemotherapy (neutropenia/leucopenia) (cisplatin)',\n",
       " 'Adverse response to chemotherapy (neutropenia/leucopenia) (all anthracycline-based drugs)',\n",
       " 'Adverse response to chemotherapy (neutropenia/leucopenia) (doxorubicin)',\n",
       " 'Adverse response to chemotherapy (neutropenia/leucopenia) (epirubicin)',\n",
       " 'Adverse response to chemotherapy (neutropenia/leucopenia) (all antimetabolite drugs)',\n",
       " 'Adverse response to chemotherapy (neutropenia/leucopenia) (5-fluorouracil)',\n",
       " 'Adverse response to chemotherapy (neutropenia/leucopenia) (gemcitabine)',\n",
       " 'Adverse response to chemotherapy (neutropenia/leucopenia) (docetaxel)',\n",
       " 'Adverse response to chemotherapy (neutropenia/leucopenia) (all topoisomerase inhibitors)',\n",
       " 'Adverse response to chemotherapy (neutropenia/leucopenia) (camptothecin)',\n",
       " 'Adverse response to chemotherapy (neutropenia/leucopenia) (etoposide)',\n",
       " 'Adverse response to chemotherapy (neutropenia/leucopenia) (paclitaxel + carboplatin)',\n",
       " 'Bitter taste perception',\n",
       " 'Cocaine dependence',\n",
       " 'Post-traumatic stress disorder (asjusted for relatedness)',\n",
       " 'Age-related macular degeneration (smoking status interaction)',\n",
       " 'Epilepsy (remission after treatment)',\n",
       " 'Otitis media (chronic/recurrent)',\n",
       " 'Blood trace element (Cu levels)',\n",
       " 'Blood trace element (Zn levels)',\n",
       " 'Blood trace element (Se levels)',\n",
       " 'Congenital heart disease',\n",
       " 'Dermatomyositis',\n",
       " 'Borderline personality disorder features',\n",
       " 'Cardiovascular heart disease in diabetics',\n",
       " 'Airway hyperresponsiveness',\n",
       " 'Osteoarthritis (hip)',\n",
       " 'Acute lymphoblastic leukemia (B-cell precursor)',\n",
       " 'Response to mTOR inhibitor (rapamycin)',\n",
       " 'Response to mTOR inhibitor (everolimus)',\n",
       " 'Orthostatic hypotension',\n",
       " 'Sleep time',\n",
       " 'Sleep quality',\n",
       " 'Sleep depth',\n",
       " 'Sleep duration',\n",
       " 'Insomnia',\n",
       " 'Educational attainment',\n",
       " 'Serum protein levels (sST2)',\n",
       " 'Adolescent idiopathic scoliosis (severe)',\n",
       " 'Response to diuretic therapy in hypertension',\n",
       " 'Nicotine use',\n",
       " 'Illicit drug use',\n",
       " 'Non-substance related behavioral disinhibition',\n",
       " 'Mesial temporal lobe epilepsy with hippocampal sclerosis',\n",
       " \"Wegener's granulomatosis\",\n",
       " 'Reading and spelling',\n",
       " 'Adverse response to chemotherapy in breast cancer (alopecia)',\n",
       " 'Systemic lupus erythematosus and Systemic sclerosis',\n",
       " 'Non-word repetition',\n",
       " 'Word reading',\n",
       " 'End-stage renal disease in Type 1 diabetics',\n",
       " 'Functional impairment in major depressive disorder, bipolar disorder and schizophrenia',\n",
       " 'Chronic hepatitis B infection',\n",
       " 'Systolic blood pressure in sickle cell anemia',\n",
       " 'Social communication problems',\n",
       " 'Hormone measurements',\n",
       " 'Fat body mass',\n",
       " 'Gray matter volume (schizophrenia interaction)',\n",
       " 'Schizophrenia (age at onset)',\n",
       " 'Lobular breast cancer (menopausal hormone therapy interaction)',\n",
       " 'Breast cancer (menopausal hormone therapy interaction)',\n",
       " 'Psychosis (atypical)',\n",
       " 'Resistin levels',\n",
       " 'Migraine with aura',\n",
       " 'Migraine without aura',\n",
       " 'Serum alkaline phosphatase levels',\n",
       " 'Self-reported allergy',\n",
       " 'Response to platinum-based chemotherapy (carboplatin)',\n",
       " 'Response to platinum-based chemotherapy (cisplatin)',\n",
       " 'Handedness',\n",
       " \"Sjögren's syndrome\",\n",
       " 'Recombination measurement (males)',\n",
       " 'Recombination measurement (females)',\n",
       " 'Serum uric acid levels',\n",
       " 'Social autistic-like traits',\n",
       " 'Esophageal adenocarcinoma',\n",
       " \"Digestive system disease (Barrett's esophagus and esophageal adenocarcinoma combined)\",\n",
       " 'Bronchopulmonary dysplasia',\n",
       " 'Odorant perception (isobutyraldehyde)',\n",
       " 'Homeostasis model assessment of beta-cell function (dietary factor interaction)',\n",
       " 'Homeostasis model assessment of insulin resistance (dietary factor interaction)',\n",
       " 'Fasting insulin (dietary factor interaction)',\n",
       " 'Tooth agenesis (third molar)',\n",
       " 'Glycemic traits (pregnancy)',\n",
       " 'Homoarginine levels',\n",
       " 'Metabolite levels (Pyroglutamine)',\n",
       " 'Metabolite levels  (X-11787)',\n",
       " 'Metabolite levels (Dihydroxy docosatrienoic acid)',\n",
       " 'Drug-induced torsades de pointes',\n",
       " 'Periodontitis (DPAL)',\n",
       " 'Bulimia nervosa',\n",
       " 'Eating disorders (purging via substances)',\n",
       " 'Eating disorders',\n",
       " 'Adverse response to radiation therapy',\n",
       " 'Brain connectivity',\n",
       " 'Congenital heart malformation',\n",
       " 'Post-traumatic stress disorder',\n",
       " 'Response to antidepressant treatment (citalopram)',\n",
       " 'Osteosarcoma',\n",
       " 'Hypersomnia (HLA-DQB1*06:02 negative)',\n",
       " 'Pit-and-Fissure caries',\n",
       " 'Smooth-surface caries',\n",
       " 'Narcolepsy with cataplexy',\n",
       " 'Venous thromboembolism (SNP x SNP interaction)',\n",
       " 'Vitiligo (non-segmental)',\n",
       " \"Alzheimer's disease (cognitive decline)\",\n",
       " 'Response to anti-TNF therapy in rheumatoid arthritis',\n",
       " 'Heart rate',\n",
       " 'Temporomandibular joint disorder',\n",
       " 'DNA methylation (variation)',\n",
       " 'DNA methylation (parent-of-origin)',\n",
       " 'Age-related macular degeneration (extreme sampling)',\n",
       " 'Multiple myeloma (IgH translocation)',\n",
       " 'Multiple myeloma (hyperdiploidy)',\n",
       " 'Ovarian cancer in BRCA1 mutation carriers',\n",
       " 'Breast Cancer in BRCA1 mutation carriers',\n",
       " 'B cell non-Hodgkin lymphoma',\n",
       " 'Sexual dimorphism in anthropometric traits',\n",
       " 'Sunburns',\n",
       " 'Retinal arteriolar caliber',\n",
       " 'Multiple sclerosis (OCB status)',\n",
       " 'Non-melanoma skin cancer',\n",
       " 'Paclitaxel-induced neuropathy',\n",
       " 'Anthropometric traits in newborns',\n",
       " 'Migraine - clinic-based',\n",
       " 'Fat distribution (HIV)',\n",
       " 'Aortic-valve calcification',\n",
       " 'Allergic sensitization',\n",
       " 'Cervical cancer',\n",
       " 'Psychosis (methamphetamine induced)',\n",
       " 'Hematological and biochemical traits',\n",
       " 'Circulating myeloperoxidase levels (plasma)',\n",
       " 'Circulating myeloperoxidase levels (serum)',\n",
       " 'Callous-unemotional behaviour',\n",
       " 'Attention deficit hyperactivity disorder (combined symptoms)',\n",
       " 'Attention deficit hyperactivity disorder (hyperactivity-impulsivity symptoms)',\n",
       " 'Attention deficit hyperactivity disorder (inattention symptoms)',\n",
       " 'Sensory disturbances after bilateral sagittal split ramus osteotomy',\n",
       " 'Weight loss (gastric bypass surgery)',\n",
       " 'Dietary macronutrient intake',\n",
       " 'PCA3 expression level',\n",
       " 'Periodontitis (CDC/AAP)',\n",
       " 'Periodontitis (PAL4Q3)',\n",
       " 'Periodontitis (Mean PAL)',\n",
       " 'Odorant perception (&beta;-ionone)',\n",
       " 'Behavioural disinhibition (generation interaction)',\n",
       " 'Blood pressure measurement (cold pressor test)',\n",
       " 'Blood pressure measurement (high sodium and potassium intervention)',\n",
       " 'Blood pressure measurement (low sodium intervention)',\n",
       " 'Blood pressure measurement (high sodium intervention)',\n",
       " 'Schizophrenia, schizoaffective disorder or bipolar disorder',\n",
       " 'Amyotrophic lateral sclerosis (sporadic)',\n",
       " 'Acute urticaria and angioedema (non-steroidal anti-inflammatory drug-induced)',\n",
       " 'Multiple sclerosis or amyotrophic lateral sclerosis',\n",
       " 'Coronary artery disease or ischemic stroke',\n",
       " 'Coronary artery disease or large artery stroke',\n",
       " 'Bronchodilator response in asthma (inhaled corticosteroid treatment interaction)',\n",
       " 'Schizophrenia or bipolar disorder',\n",
       " 'Adverse response to chemotherapy in breast cancer (alopecia) (cyclophosphamide+epirubicin+/-5FU)',\n",
       " 'Adverse response to chemotherapy in breast cancer (alopecia) (cyclophosphamide+doxorubicin+/-5FU)',\n",
       " 'Adverse response to chemotherapy in breast cancer (alopecia) (paclitaxel)',\n",
       " 'Adverse response to chemotherapy in breast cancer (alopecia) (docetaxel)',\n",
       " 'Adverse response to chemotherapy in breast cancer (alopecia) (anti-microtubule)',\n",
       " 'Response to alcohol consumption (flushing response)',\n",
       " 'Alcohol consumption (maxi-drinks)',\n",
       " 'Body mass index (education interaction)',\n",
       " 'Liver enzyme levels (aspartate transaminase)',\n",
       " 'Lung function (FEV1)',\n",
       " 'Lung function (FVC)',\n",
       " 'Lung function (FEV1/FVC)',\n",
       " 'Lung function (forced expiratory flow during mid-portion (25% and 75%) of forced vital capacity)',\n",
       " 'Relative hand skill',\n",
       " 'Relative hand skill in reading disability',\n",
       " 'Follicule stimulating hormone',\n",
       " 'Breast cancer (estrogen-receptor negative, progesterone-receptor negative, and human epidermal growth factor-receptor negative)',\n",
       " 'Thrombin generation potential phenotypes',\n",
       " 'Contrast sensitivity',\n",
       " 'Tooth agenesis (mandibular third molar)',\n",
       " 'Anxiety in major depressive disorder',\n",
       " 'Cognitive decline (age-related)',\n",
       " 'Systolic blood pressure (alcohol consumption interaction)',\n",
       " 'Diastolic blood pressure (alcohol consumption interaction)',\n",
       " 'Mean arterial pressure (alcohol consumption interaction)',\n",
       " 'Pulse pressure (alcohol consumption interaction)',\n",
       " 'Serum dimethylarginine levels (asymmetric/symetric ratio)',\n",
       " 'Symmetrical dimethylarginine levels',\n",
       " 'Asymmetrical dimethylarginine levels',\n",
       " 'Memory performance',\n",
       " 'Acne (severe)',\n",
       " 'Bone properties (heel)',\n",
       " 'Bipolar disorder (body mass index interaction)',\n",
       " 'Immune reponse to smallpox (secreted IL-2)',\n",
       " 'Immune reponse to smallpox (secreted IL-1beta)',\n",
       " 'Immune reponse to smallpox (secreted IFN-alpha)',\n",
       " 'Immune reponse to smallpox (secreted IL-10)',\n",
       " 'Immune reponse to smallpox (secreted TNF-alpha)',\n",
       " 'Immune reponse to smallpox (secreted IL-12p40)',\n",
       " 'Economic and political preferences',\n",
       " 'Economic and political preferences (environmentalism)',\n",
       " 'Economic and political preferences (fairness)',\n",
       " 'Economic and political preferences (feminism/equality)',\n",
       " 'Economic and political preferences (immigration/crime)',\n",
       " 'Economic and political preferences (time)',\n",
       " 'Breast size',\n",
       " 'Insomnia (caffeine-induced)',\n",
       " 'Temperament',\n",
       " 'Age-related macular degeneration (CNV)',\n",
       " 'Age-related macular degeneration (CNV vs. GA)',\n",
       " 'Age-related macular degeneration (GA)',\n",
       " 'Subcutaneous adipose tissue',\n",
       " 'Visceral fat',\n",
       " 'Visceral adipose tissue/subcutaneous adipose tissue ratio',\n",
       " 'Visceral adipose tissue adjusted for BMI',\n",
       " 'Prothrombin time',\n",
       " 'Insulin-related traits',\n",
       " 'C-reactive protein and white blood cell count',\n",
       " 'Antineutrophil cytoplasmic antibody-associated vasculitis',\n",
       " 'Sclerosing cholangitis and ulcerative colitis (combined)',\n",
       " 'Gambling',\n",
       " 'Renal function-related traits (BUN)',\n",
       " 'Cannabis use (initiation)',\n",
       " 'Hepatitis C induced liver fibrosis',\n",
       " 'IgA levels',\n",
       " 'Asthma (bronchodilator response)',\n",
       " 'Response to fenofibrate',\n",
       " 'Renal function-related traits (sCR)',\n",
       " 'Renal function-related traits (eGRFcrea)',\n",
       " 'Renal function-related traits (urea)',\n",
       " 'Tourette syndrome',\n",
       " 'Obsessive-compulsive disorder',\n",
       " 'Capecitabine sensitivity',\n",
       " 'Lentiform nucleus volume',\n",
       " 'Airflow obstruction',\n",
       " 'Glaucoma (primary angle closure)',\n",
       " 'Vaspin levels',\n",
       " 'Comprehensive strength and appendicular lean mass',\n",
       " 'Androgen levels',\n",
       " 'Epilepsy (generalized)',\n",
       " 'Narcolepsy (age of onset)',\n",
       " 'Narcolepsy (onset before 2009 H1N1 influenza pandemic)',\n",
       " 'Asthma (corticosteroid response)',\n",
       " 'Response to cytidine analogues (gemcitabine)',\n",
       " 'Response to cytadine analogues (cytosine arabinoside)',\n",
       " 'Breast cancer (early onset)',\n",
       " 'Chronic obstructive pulmonary disease (moderate to severe)',\n",
       " 'Response to serotonin reuptake inhibitors in major depressive disorder (plasma drug and metabolite levels)',\n",
       " 'Plasma amyloid beta peptide concentrations (ABx-42)',\n",
       " 'Plasma amyloid beta peptide concentrations (ABx-40)',\n",
       " 'Response to methotrexate in rheumatoid arthritis',\n",
       " 'White matter hyperintensity volume in cerebral autosomal-dominant arteriopathy with subcortical infarcts and leukoencephalopathy',\n",
       " 'Cleft plate (environmental tobacco smoke interaction)',\n",
       " 'Urinary uromodulin levels',\n",
       " 'Plasma plasminogen activator levels',\n",
       " 'Urinary albumin excretion rate in type 1 diabetes',\n",
       " 'Anterior chamber depth',\n",
       " 'Plasma homocysteine levels (post-methionine load test)',\n",
       " 'Lung cancer (smoking interaction)',\n",
       " 'Smoking quantity',\n",
       " 'Age of smoking initiation',\n",
       " 'Clubfoot',\n",
       " 'Preschool internalizing problems',\n",
       " 'Response to methylphenidate treatment in attention-deficit/hyperactivity disorder (blood pressure)',\n",
       " 'Optic nerve measurement (cup-to-disc ratio)',\n",
       " 'Serum IgA levels',\n",
       " 'Chronic mucus hypersecretion',\n",
       " 'Longevity (90 years and older)',\n",
       " 'Longevity (85 years and older)',\n",
       " 'Osteoarthritis (hand, severe)',\n",
       " 'White matter microstructure (global fractional anisotropy)',\n",
       " 'Non-small cell lung cancer (recurrence rate)',\n",
       " 'Serum vitamin D-binding protein levels',\n",
       " 'Plasma thyroid-stimulating hormone levels',\n",
       " 'Chagas cardiomyopathy in Tripanosoma cruzi seropositivity',\n",
       " 'Colorectal cancer (diet interaction)',\n",
       " 'Ejection fraction in Tripanosoma cruzi seropositivity',\n",
       " 'Antibody status in Tripanosoma cruzi seropositivity',\n",
       " 'Parasitemia in Tripanosoma cruzi seropositivity',\n",
       " 'PR interval in Tripanosoma cruzi seropositivity',\n",
       " 'QRS duration in Tripanosoma cruzi seropositivity',\n",
       " 'QT interval in Tripanosoma cruzi seropositivity',\n",
       " 'Autoimmune hepatitis type-1',\n",
       " 'Fractional exhaled nitric oxide (childhood)',\n",
       " 'Plasma cystastin c levels in acute coronary syndrome',\n",
       " 'Hippocampal sclerosis of aging',\n",
       " 'Glomerular filtration rate',\n",
       " 'Asthma and hay fever',\n",
       " \"Musician's dystonia\",\n",
       " 'Periodontal disease-related phenotypes',\n",
       " 'Anxiety and major depressive disorder',\n",
       " 'Irritable bowel syndrome',\n",
       " 'Conotruncal heart defects',\n",
       " 'Staphylococcus aureus infection',\n",
       " 'Resting oxygen saturation in chronic osbtructive pulmonary disease (pulse oxymetry)',\n",
       " 'Plasma omega-6 polyunsaturated fatty acid levels (linoleic acid)',\n",
       " 'Plasma omega-6 polyunsaturated fatty acid levels (gamma-linolenic acid)',\n",
       " 'Plasma omega-6 polyunsaturated fatty acid levels (arachidonic acid)',\n",
       " 'Plasma omega-6 polyunsaturated fatty acid levels (adrenic acid)',\n",
       " 'Plasma omega-6 polyunsaturated fatty acid levels (dihomo-gamma-linolenic acid)',\n",
       " 'Anger',\n",
       " 'Pulmonary emphysema',\n",
       " 'Puberty onset (genital enlargement)',\n",
       " 'Puberty onset',\n",
       " 'Puberty onset (breast development)',\n",
       " 'Response to inhaled corticosteroid treatment in asthma (change in FEV1)',\n",
       " 'Recombination measurement',\n",
       " 'Thyroid peroxidase antibody positivity',\n",
       " 'Thyroid peroxidase antibody levels',\n",
       " 'Type 2 diabetes (young onset) and obesity',\n",
       " 'Chronic obstructive pulmonary disease (severe)',\n",
       " 'Response to protease inhibitor treatment in hepatitis c (bilirubin toxicity)',\n",
       " 'Response to protease inhibitor treatment in hepatitis c (peak serum total bilirubin levels)',\n",
       " 'Response to anti-retroviral therapy (ddI/d4T) in HIV-1 infection (Grade 2 peripheral neuropathy)',\n",
       " 'Response to anti-retroviral therapy (ddI/d4T) in HIV-1 infection (Grade 3 peripheral neuropathy)',\n",
       " 'Rheumatoid arthritis (ACPA-negative)',\n",
       " 'Urinary metabolites (H-NMR features)',\n",
       " 'Political ideology',\n",
       " 'Parent of origin effect on language impairment (paternal)',\n",
       " 'Response to anti-retroviral therapy (ddI/d4T) in HIV-1 infection (Grade 1 peripheral neuropathy)',\n",
       " 'Intracerebral hemorrhage',\n",
       " 'Serum metabolite levels',\n",
       " 'Smoking initiation',\n",
       " 'Serum thyroid-stimulating hormone levels',\n",
       " 'Bladder cancer (smoking interaction)',\n",
       " 'Response to methotrexate in juvenile idiopathic arthritis',\n",
       " 'Prostate cancer (early onset)',\n",
       " 'Blood metabolite levels',\n",
       " 'P wave duration',\n",
       " 'PR segment',\n",
       " 'Pulse pressure in young-onset hypertension',\n",
       " 'Response to radiotherapy in cancer (late toxicity)',\n",
       " ...]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(gwas[\"DISEASE/TRAIT\"].unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Όλες οι γραμμές που περιέχουν τον Brest στο Disease / Train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DATE ADDED TO CATALOG</th>\n",
       "      <th>PUBMEDID</th>\n",
       "      <th>FIRST AUTHOR</th>\n",
       "      <th>DATE</th>\n",
       "      <th>JOURNAL</th>\n",
       "      <th>LINK</th>\n",
       "      <th>STUDY</th>\n",
       "      <th>DISEASE/TRAIT</th>\n",
       "      <th>INITIAL SAMPLE SIZE</th>\n",
       "      <th>REPLICATION SAMPLE SIZE</th>\n",
       "      <th>...</th>\n",
       "      <th>CONTEXT</th>\n",
       "      <th>INTERGENIC</th>\n",
       "      <th>RISK ALLELE FREQUENCY</th>\n",
       "      <th>P-VALUE</th>\n",
       "      <th>PVALUE_MLOG</th>\n",
       "      <th>P-VALUE (TEXT)</th>\n",
       "      <th>OR or BETA</th>\n",
       "      <th>95% CI (TEXT)</th>\n",
       "      <th>PLATFORM [SNPS PASSING QC]</th>\n",
       "      <th>CNV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18326623</td>\n",
       "      <td>Gold B</td>\n",
       "      <td>2008-03-11</td>\n",
       "      <td>Proc Natl Acad Sci U S A</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18326623</td>\n",
       "      <td>Genome-wide association study provides evidenc...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>249 Ashkenazi Jewish non-BRCA1/2 carriers case...</td>\n",
       "      <td>1,193 Ashkenazi Jewish non-BRCA1/2 carriers  c...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.21</td>\n",
       "      <td>3e-08</td>\n",
       "      <td>7.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.410000</td>\n",
       "      <td>[1.25-1.59]</td>\n",
       "      <td>Affymetrix [150080]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>2008-09-10</td>\n",
       "      <td>17903305</td>\n",
       "      <td>Murabito JM</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17903305</td>\n",
       "      <td>A genome-wide association study of breast and ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>58 cases, 665 controls</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>8e-08</td>\n",
       "      <td>7.096910</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affymetrix [70897]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>2008-09-10</td>\n",
       "      <td>17903305</td>\n",
       "      <td>Murabito JM</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17903305</td>\n",
       "      <td>A genome-wide association study of breast and ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>58 cases, 665 controls</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>5e-07</td>\n",
       "      <td>6.301030</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affymetrix [70897]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>2008-09-10</td>\n",
       "      <td>17903305</td>\n",
       "      <td>Murabito JM</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17903305</td>\n",
       "      <td>A genome-wide association study of breast and ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>58 cases, 665 controls</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>7e-07</td>\n",
       "      <td>6.154902</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affymetrix [70897]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>2008-09-10</td>\n",
       "      <td>17903305</td>\n",
       "      <td>Murabito JM</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17903305</td>\n",
       "      <td>A genome-wide association study of breast and ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>58 cases, 665 controls</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>1e-06</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affymetrix [70897]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>2008-09-10</td>\n",
       "      <td>17903305</td>\n",
       "      <td>Murabito JM</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17903305</td>\n",
       "      <td>A genome-wide association study of breast and ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>58 cases, 665 controls</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>2e-06</td>\n",
       "      <td>5.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affymetrix [70897]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>17529967</td>\n",
       "      <td>Easton DF</td>\n",
       "      <td>2007-05-27</td>\n",
       "      <td>Nature</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17529967</td>\n",
       "      <td>Genome-wide association study identifies novel...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>390 European ancestry cases, 364 European ance...</td>\n",
       "      <td>4,364 East Asian ancestry cases, 24,174 Europe...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.38</td>\n",
       "      <td>2e-76</td>\n",
       "      <td>75.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.260000</td>\n",
       "      <td>[1.23-1.30]</td>\n",
       "      <td>Perlegen [205586]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>17529967</td>\n",
       "      <td>Easton DF</td>\n",
       "      <td>2007-05-27</td>\n",
       "      <td>Nature</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17529967</td>\n",
       "      <td>Genome-wide association study identifies novel...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>390 European ancestry cases, 364 European ance...</td>\n",
       "      <td>4,364 East Asian ancestry cases, 24,174 Europe...</td>\n",
       "      <td>...</td>\n",
       "      <td>non_coding_transcript_exon_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1e-36</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.200000</td>\n",
       "      <td>[1.16-1.24]</td>\n",
       "      <td>Perlegen [205586]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>17529967</td>\n",
       "      <td>Easton DF</td>\n",
       "      <td>2007-05-27</td>\n",
       "      <td>Nature</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17529967</td>\n",
       "      <td>Genome-wide association study identifies novel...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>390 European ancestry cases, 364 European ance...</td>\n",
       "      <td>4,364 East Asian ancestry cases, 24,174 Europe...</td>\n",
       "      <td>...</td>\n",
       "      <td>regulatory_region_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.28</td>\n",
       "      <td>7e-20</td>\n",
       "      <td>19.154902</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.130000</td>\n",
       "      <td>[1.10-1.16]</td>\n",
       "      <td>Perlegen [205586]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>17529967</td>\n",
       "      <td>Easton DF</td>\n",
       "      <td>2007-05-27</td>\n",
       "      <td>Nature</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17529967</td>\n",
       "      <td>Genome-wide association study identifies novel...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>390 European ancestry cases, 364 European ance...</td>\n",
       "      <td>4,364 East Asian ancestry cases, 24,174 Europe...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.40</td>\n",
       "      <td>5e-12</td>\n",
       "      <td>11.301030</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.080000</td>\n",
       "      <td>[1.05-1.11]</td>\n",
       "      <td>Perlegen [205586]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>17529967</td>\n",
       "      <td>Easton DF</td>\n",
       "      <td>2007-05-27</td>\n",
       "      <td>Nature</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17529967</td>\n",
       "      <td>Genome-wide association study identifies novel...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>390 European ancestry cases, 364 European ance...</td>\n",
       "      <td>4,364 East Asian ancestry cases, 24,174 Europe...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.30</td>\n",
       "      <td>3e-09</td>\n",
       "      <td>8.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.070000</td>\n",
       "      <td>[1.04-1.11]</td>\n",
       "      <td>Perlegen [205586]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>17529973</td>\n",
       "      <td>Hunter DJ</td>\n",
       "      <td>2007-05-27</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17529973</td>\n",
       "      <td>A genome-wide association study identifies all...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>1,145 European ancestry cases, 1,142 European ...</td>\n",
       "      <td>874 European ancestry cases, 1,478 European an...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.40</td>\n",
       "      <td>1e-10</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.200000</td>\n",
       "      <td>[1.07-1.42]</td>\n",
       "      <td>Illumina [528173]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>17529974</td>\n",
       "      <td>Stacey SN</td>\n",
       "      <td>2007-05-27</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17529974</td>\n",
       "      <td>Common variants on chromosomes 2q35 and 16q12 ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>1,599 European ancestry cases, 11,546 European...</td>\n",
       "      <td>2,954 European ancestry cases, 5,967 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.50</td>\n",
       "      <td>1e-13</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.200000</td>\n",
       "      <td>[1.14-1.26]</td>\n",
       "      <td>Illumina [311524]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>17529974</td>\n",
       "      <td>Stacey SN</td>\n",
       "      <td>2007-05-27</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17529974</td>\n",
       "      <td>Common variants on chromosomes 2q35 and 16q12 ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>1,599 European ancestry cases, 11,546 European...</td>\n",
       "      <td>2,954 European ancestry cases, 5,967 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>non_coding_transcript_exon_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.27</td>\n",
       "      <td>6e-19</td>\n",
       "      <td>18.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.280000</td>\n",
       "      <td>[1.21-1.35]</td>\n",
       "      <td>Illumina [311524]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>420</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>17529967</td>\n",
       "      <td>Easton DF</td>\n",
       "      <td>2007-05-27</td>\n",
       "      <td>Nature</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17529967</td>\n",
       "      <td>Genome-wide association study identifies novel...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>390 European ancestry cases, 364 European ance...</td>\n",
       "      <td>4,364 East Asian ancestry cases, 24,174 Europe...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.53</td>\n",
       "      <td>9e-06</td>\n",
       "      <td>5.045757</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.040000</td>\n",
       "      <td>[1.01-1.08]</td>\n",
       "      <td>Perlegen [205586]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>496</th>\n",
       "      <td>2008-09-10</td>\n",
       "      <td>17903305</td>\n",
       "      <td>Murabito JM</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17903305</td>\n",
       "      <td>A genome-wide association study of breast and ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>58 cases, 665 controls</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>3e-06</td>\n",
       "      <td>5.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affymetrix [70897]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>497</th>\n",
       "      <td>2008-09-10</td>\n",
       "      <td>17903305</td>\n",
       "      <td>Murabito JM</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17903305</td>\n",
       "      <td>A genome-wide association study of breast and ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>58 cases, 665 controls</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>5e-06</td>\n",
       "      <td>5.301030</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affymetrix [70897]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>498</th>\n",
       "      <td>2008-09-10</td>\n",
       "      <td>17903305</td>\n",
       "      <td>Murabito JM</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17903305</td>\n",
       "      <td>A genome-wide association study of breast and ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>58 cases, 665 controls</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>6e-06</td>\n",
       "      <td>5.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affymetrix [70897]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>499</th>\n",
       "      <td>2008-09-10</td>\n",
       "      <td>17903305</td>\n",
       "      <td>Murabito JM</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17903305</td>\n",
       "      <td>A genome-wide association study of breast and ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>58 cases, 665 controls</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>6e-06</td>\n",
       "      <td>5.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affymetrix [70897]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>791</th>\n",
       "      <td>2008-10-14</td>\n",
       "      <td>18463975</td>\n",
       "      <td>Kibriya MG</td>\n",
       "      <td>2008-05-08</td>\n",
       "      <td>Breast Cancer Res Treat</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18463975</td>\n",
       "      <td>A pilot genome-wide association study of early...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>26 European ancestry cases, 3 Hispanic cases, ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>downstream_gene_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.34</td>\n",
       "      <td>4e-07</td>\n",
       "      <td>6.397940</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affymetrix [200220]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1238</th>\n",
       "      <td>2009-02-28</td>\n",
       "      <td>19219042</td>\n",
       "      <td>Zheng W</td>\n",
       "      <td>2009-02-15</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/19219042</td>\n",
       "      <td>Genome-wide association study identifies a new...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>1,505 Chinese ancestry cases, 1,522 Chinese an...</td>\n",
       "      <td>5,026 Chinese ancestry cases, 2,476 Chinese an...</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.37</td>\n",
       "      <td>2e-15</td>\n",
       "      <td>14.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.290000</td>\n",
       "      <td>[1.21-1.37]</td>\n",
       "      <td>Affymetrix [up to 607728]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1317</th>\n",
       "      <td>2009-04-03</td>\n",
       "      <td>19330030</td>\n",
       "      <td>Thomas G</td>\n",
       "      <td>2009-03-29</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/19330030</td>\n",
       "      <td>A multistage genome-wide association study in ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>1,145 European ancestry cases, 1,142 European ...</td>\n",
       "      <td>8,625 European ancestry cases, 9,657 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.41</td>\n",
       "      <td>2e-10</td>\n",
       "      <td>9.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.170000</td>\n",
       "      <td>[1.07-1.27] (Het)</td>\n",
       "      <td>Illumina [528173]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1318</th>\n",
       "      <td>2009-04-03</td>\n",
       "      <td>19330030</td>\n",
       "      <td>Thomas G</td>\n",
       "      <td>2009-03-29</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/19330030</td>\n",
       "      <td>A multistage genome-wide association study in ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>1,145 European ancestry cases, 1,142 European ...</td>\n",
       "      <td>8,625 European ancestry cases, 9,657 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>non_coding_transcript_exon_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.27</td>\n",
       "      <td>1e-09</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.160000</td>\n",
       "      <td>[1.07-1.27] (Het)</td>\n",
       "      <td>Illumina [528173]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1319</th>\n",
       "      <td>2009-04-03</td>\n",
       "      <td>19330030</td>\n",
       "      <td>Thomas G</td>\n",
       "      <td>2009-03-29</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/19330030</td>\n",
       "      <td>A multistage genome-wide association study in ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>1,145 European ancestry cases, 1,142 European ...</td>\n",
       "      <td>8,625 European ancestry cases, 9,657 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.15</td>\n",
       "      <td>5e-07</td>\n",
       "      <td>6.301030</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.230000</td>\n",
       "      <td>[1.12-1.35] (Het)</td>\n",
       "      <td>Illumina [528173]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1320</th>\n",
       "      <td>2009-04-03</td>\n",
       "      <td>19330030</td>\n",
       "      <td>Thomas G</td>\n",
       "      <td>2009-03-29</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/19330030</td>\n",
       "      <td>A multistage genome-wide association study in ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>1,145 European ancestry cases, 1,142 European ...</td>\n",
       "      <td>8,625 European ancestry cases, 9,657 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.51</td>\n",
       "      <td>2e-08</td>\n",
       "      <td>7.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.250000</td>\n",
       "      <td>[1.15-1.37] (Het)</td>\n",
       "      <td>Illumina [528173]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1321</th>\n",
       "      <td>2009-04-03</td>\n",
       "      <td>19330030</td>\n",
       "      <td>Thomas G</td>\n",
       "      <td>2009-03-29</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/19330030</td>\n",
       "      <td>A multistage genome-wide association study in ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>1,145 European ancestry cases, 1,142 European ...</td>\n",
       "      <td>8,625 European ancestry cases, 9,657 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.39</td>\n",
       "      <td>7e-10</td>\n",
       "      <td>9.154902</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.160000</td>\n",
       "      <td>[1.09-1.24] (Het)</td>\n",
       "      <td>Illumina [528173]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1322</th>\n",
       "      <td>2009-04-03</td>\n",
       "      <td>19330030</td>\n",
       "      <td>Thomas G</td>\n",
       "      <td>2009-03-29</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/19330030</td>\n",
       "      <td>A multistage genome-wide association study in ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>1,145 European ancestry cases, 1,142 European ...</td>\n",
       "      <td>8,625 European ancestry cases, 9,657 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.76</td>\n",
       "      <td>2e-07</td>\n",
       "      <td>6.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.060000</td>\n",
       "      <td>[1.01-1.14] (Het)</td>\n",
       "      <td>Illumina [528173]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2202</th>\n",
       "      <td>2011-09-30</td>\n",
       "      <td>21908515</td>\n",
       "      <td>Cai Q</td>\n",
       "      <td>2011-09-09</td>\n",
       "      <td>Hum Mol Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/21908515</td>\n",
       "      <td>Genome-wide association study identifies breas...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>2,062 East Asian ancestry cases, 2,066 East As...</td>\n",
       "      <td>15,091 East Asian ancestry cases, 14,877 East ...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.45</td>\n",
       "      <td>6e-06</td>\n",
       "      <td>5.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.110000</td>\n",
       "      <td>[1.05-1.17]</td>\n",
       "      <td>Affymetrix [684457]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2203</th>\n",
       "      <td>2011-09-30</td>\n",
       "      <td>21908515</td>\n",
       "      <td>Cai Q</td>\n",
       "      <td>2011-09-09</td>\n",
       "      <td>Hum Mol Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/21908515</td>\n",
       "      <td>Genome-wide association study identifies breas...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>2,062 East Asian ancestry cases, 2,066 East As...</td>\n",
       "      <td>15,091 East Asian ancestry cases, 14,877 East ...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.47</td>\n",
       "      <td>6e-09</td>\n",
       "      <td>8.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.120000</td>\n",
       "      <td>[1.06-1.18]</td>\n",
       "      <td>Affymetrix [684457]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2596</th>\n",
       "      <td>2011-11-24</td>\n",
       "      <td>22037553</td>\n",
       "      <td>Haiman CA</td>\n",
       "      <td>2011-10-30</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/22037553</td>\n",
       "      <td>A common variant at the TERT-CLPTM1L locus is ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>1,004 African American cases, 2,745 African Am...</td>\n",
       "      <td>2,292 European ancestry cases, 16,901 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.26</td>\n",
       "      <td>1e-10</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.180000</td>\n",
       "      <td>[1.13-1.25]</td>\n",
       "      <td>Illumina [3154485] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63768</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.46</td>\n",
       "      <td>8e-10</td>\n",
       "      <td>9.096910</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.080000</td>\n",
       "      <td>[1.04-1.11] (Oncoarray)</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63769</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.07</td>\n",
       "      <td>3e-40</td>\n",
       "      <td>39.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.320000</td>\n",
       "      <td>[1.25-1.40] (Oncoarray)</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63770</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.77</td>\n",
       "      <td>3e-08</td>\n",
       "      <td>7.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.086957</td>\n",
       "      <td>[1.04-1.12] (Oncoarray)</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63771</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.52</td>\n",
       "      <td>2e-18</td>\n",
       "      <td>17.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.098901</td>\n",
       "      <td>[1.08-1.12]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63772</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.76</td>\n",
       "      <td>9e-10</td>\n",
       "      <td>9.045757</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.086957</td>\n",
       "      <td>[1.05-1.11]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63773</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.59</td>\n",
       "      <td>3e-12</td>\n",
       "      <td>11.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.086957</td>\n",
       "      <td>[1.06-1.11]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63774</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.659999999999999</td>\n",
       "      <td>2e-09</td>\n",
       "      <td>8.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.086957</td>\n",
       "      <td>[1.05-1.11]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63775</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.37</td>\n",
       "      <td>7e-08</td>\n",
       "      <td>7.154902</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.060000</td>\n",
       "      <td>[1.04-1.09]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63776</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1e-10</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.090000</td>\n",
       "      <td>[1.06-1.12]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63777</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>3_prime_UTR_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.26</td>\n",
       "      <td>3e-23</td>\n",
       "      <td>22.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.140000</td>\n",
       "      <td>[1.11-1.16]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63778</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>3_prime_UTR_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.32</td>\n",
       "      <td>3e-31</td>\n",
       "      <td>30.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.150000</td>\n",
       "      <td>[1.12-1.18]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63779</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>upstream_gene_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.32</td>\n",
       "      <td>3e-37</td>\n",
       "      <td>36.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.170000</td>\n",
       "      <td>[1.14-1.19]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63780</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.26</td>\n",
       "      <td>2e-35</td>\n",
       "      <td>34.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.180000</td>\n",
       "      <td>[1.15-1.21]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63781</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.75</td>\n",
       "      <td>2e-08</td>\n",
       "      <td>7.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.086957</td>\n",
       "      <td>[1.05-1.11]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63782</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.77</td>\n",
       "      <td>4e-08</td>\n",
       "      <td>7.397940</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.075269</td>\n",
       "      <td>[1.05-1.11]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63783</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>3_prime_UTR_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.58</td>\n",
       "      <td>4e-08</td>\n",
       "      <td>7.397940</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.063830</td>\n",
       "      <td>[1.04-1.09]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63784</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>3e-07</td>\n",
       "      <td>6.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.063830</td>\n",
       "      <td>[1.04-1.1]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63785</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.32</td>\n",
       "      <td>2e-07</td>\n",
       "      <td>6.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.070000</td>\n",
       "      <td>[1.04-1.09]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63786</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.34</td>\n",
       "      <td>2e-08</td>\n",
       "      <td>7.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.070000</td>\n",
       "      <td>[1.04-1.09]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63787</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.23</td>\n",
       "      <td>6e-09</td>\n",
       "      <td>8.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.090000</td>\n",
       "      <td>[1.06-1.12]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63788</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>missense_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.98</td>\n",
       "      <td>2e-06</td>\n",
       "      <td>5.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.219512</td>\n",
       "      <td>[1.12-1.33]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63789</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.95</td>\n",
       "      <td>5e-06</td>\n",
       "      <td>5.301030</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.190476</td>\n",
       "      <td>[1.1-1.3] (Oncoarray)</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63790</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>3e-06</td>\n",
       "      <td>5.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.063830</td>\n",
       "      <td>[1.02-1.09] (Oncoarray)</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64222</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>29059430</td>\n",
       "      <td>Morton LM</td>\n",
       "      <td>2017-11-01</td>\n",
       "      <td>J Natl Cancer Inst</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29059430</td>\n",
       "      <td>Genome-Wide Association Study to Identify Susc...</td>\n",
       "      <td>Breast cancer in childhood cancer survivors</td>\n",
       "      <td>207 European ancestry female cases, 2,774 Euro...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0E-4</td>\n",
       "      <td>6e-07</td>\n",
       "      <td>6.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affymetrix, Illumina [16958466] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64223</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>29059430</td>\n",
       "      <td>Morton LM</td>\n",
       "      <td>2017-11-01</td>\n",
       "      <td>J Natl Cancer Inst</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29059430</td>\n",
       "      <td>Genome-Wide Association Study to Identify Susc...</td>\n",
       "      <td>Breast cancer in childhood cancer survivors</td>\n",
       "      <td>207 European ancestry female cases, 2,774 Euro...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.03</td>\n",
       "      <td>4e-07</td>\n",
       "      <td>6.397940</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.230000</td>\n",
       "      <td>[1.52-3.26]</td>\n",
       "      <td>Affymetrix, Illumina [16958466] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64224</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>29059430</td>\n",
       "      <td>Morton LM</td>\n",
       "      <td>2017-11-01</td>\n",
       "      <td>J Natl Cancer Inst</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29059430</td>\n",
       "      <td>Genome-Wide Association Study to Identify Susc...</td>\n",
       "      <td>Breast cancer in childhood cancer survivors</td>\n",
       "      <td>207 European ancestry female cases, 2,774 Euro...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.49</td>\n",
       "      <td>3e-07</td>\n",
       "      <td>6.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.590000</td>\n",
       "      <td>[1.30-1.92]</td>\n",
       "      <td>Affymetrix, Illumina [16958466] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64225</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>29059430</td>\n",
       "      <td>Morton LM</td>\n",
       "      <td>2017-11-01</td>\n",
       "      <td>J Natl Cancer Inst</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29059430</td>\n",
       "      <td>Genome-Wide Association Study to Identify Susc...</td>\n",
       "      <td>Breast cancer in childhood cancer survivors</td>\n",
       "      <td>207 European ancestry female cases, 2,774 Euro...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.001</td>\n",
       "      <td>2e-07</td>\n",
       "      <td>6.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.850000</td>\n",
       "      <td>[1.67-8.9]</td>\n",
       "      <td>Affymetrix, Illumina [16958466] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64226</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>29059430</td>\n",
       "      <td>Morton LM</td>\n",
       "      <td>2017-11-01</td>\n",
       "      <td>J Natl Cancer Inst</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29059430</td>\n",
       "      <td>Genome-Wide Association Study to Identify Susc...</td>\n",
       "      <td>Breast cancer in childhood cancer survivors tr...</td>\n",
       "      <td>69 European ancestry cases, 2,144 European anc...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.06</td>\n",
       "      <td>2e-07</td>\n",
       "      <td>6.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.120000</td>\n",
       "      <td>[1.96-4.96]</td>\n",
       "      <td>Affymetrix, Illumina [16958466] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64227</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>29059430</td>\n",
       "      <td>Morton LM</td>\n",
       "      <td>2017-11-01</td>\n",
       "      <td>J Natl Cancer Inst</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29059430</td>\n",
       "      <td>Genome-Wide Association Study to Identify Susc...</td>\n",
       "      <td>Breast cancer in childhood cancer survivors tr...</td>\n",
       "      <td>69 European ancestry cases, 2,144 European anc...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.16</td>\n",
       "      <td>6e-07</td>\n",
       "      <td>6.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.120000</td>\n",
       "      <td>[1.50-3.01]</td>\n",
       "      <td>Affymetrix, Illumina [16958466] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64228</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>29059430</td>\n",
       "      <td>Morton LM</td>\n",
       "      <td>2017-11-01</td>\n",
       "      <td>J Natl Cancer Inst</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29059430</td>\n",
       "      <td>Genome-Wide Association Study to Identify Susc...</td>\n",
       "      <td>Breast cancer in childhood cancer survivors tr...</td>\n",
       "      <td>131 European ancestry cases, 493 European ance...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.02</td>\n",
       "      <td>2e-07</td>\n",
       "      <td>6.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.550000</td>\n",
       "      <td>[1.61-4.02]</td>\n",
       "      <td>Affymetrix, Illumina [16958466] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1341 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      DATE ADDED TO CATALOG  PUBMEDID FIRST AUTHOR        DATE  \\\n",
       "17               2008-06-16  18326623       Gold B  2008-03-11   \n",
       "126              2008-09-10  17903305  Murabito JM  2007-09-19   \n",
       "127              2008-09-10  17903305  Murabito JM  2007-09-19   \n",
       "128              2008-09-10  17903305  Murabito JM  2007-09-19   \n",
       "129              2008-09-10  17903305  Murabito JM  2007-09-19   \n",
       "130              2008-09-10  17903305  Murabito JM  2007-09-19   \n",
       "238              2008-06-16  17529967    Easton DF  2007-05-27   \n",
       "239              2008-06-16  17529967    Easton DF  2007-05-27   \n",
       "240              2008-06-16  17529967    Easton DF  2007-05-27   \n",
       "241              2008-06-16  17529967    Easton DF  2007-05-27   \n",
       "242              2008-06-16  17529967    Easton DF  2007-05-27   \n",
       "243              2008-06-16  17529973    Hunter DJ  2007-05-27   \n",
       "244              2008-06-16  17529974    Stacey SN  2007-05-27   \n",
       "245              2008-06-16  17529974    Stacey SN  2007-05-27   \n",
       "420              2008-06-16  17529967    Easton DF  2007-05-27   \n",
       "496              2008-09-10  17903305  Murabito JM  2007-09-19   \n",
       "497              2008-09-10  17903305  Murabito JM  2007-09-19   \n",
       "498              2008-09-10  17903305  Murabito JM  2007-09-19   \n",
       "499              2008-09-10  17903305  Murabito JM  2007-09-19   \n",
       "791              2008-10-14  18463975   Kibriya MG  2008-05-08   \n",
       "1238             2009-02-28  19219042      Zheng W  2009-02-15   \n",
       "1317             2009-04-03  19330030     Thomas G  2009-03-29   \n",
       "1318             2009-04-03  19330030     Thomas G  2009-03-29   \n",
       "1319             2009-04-03  19330030     Thomas G  2009-03-29   \n",
       "1320             2009-04-03  19330030     Thomas G  2009-03-29   \n",
       "1321             2009-04-03  19330030     Thomas G  2009-03-29   \n",
       "1322             2009-04-03  19330030     Thomas G  2009-03-29   \n",
       "2202             2011-09-30  21908515        Cai Q  2011-09-09   \n",
       "2203             2011-09-30  21908515        Cai Q  2011-09-09   \n",
       "2596             2011-11-24  22037553    Haiman CA  2011-10-30   \n",
       "...                     ...       ...          ...         ...   \n",
       "63768            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63769            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63770            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63771            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63772            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63773            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63774            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63775            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63776            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63777            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63778            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63779            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63780            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63781            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63782            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63783            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63784            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63785            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63786            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63787            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63788            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63789            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63790            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "64222            2018-01-09  29059430    Morton LM  2017-11-01   \n",
       "64223            2018-01-09  29059430    Morton LM  2017-11-01   \n",
       "64224            2018-01-09  29059430    Morton LM  2017-11-01   \n",
       "64225            2018-01-09  29059430    Morton LM  2017-11-01   \n",
       "64226            2018-01-09  29059430    Morton LM  2017-11-01   \n",
       "64227            2018-01-09  29059430    Morton LM  2017-11-01   \n",
       "64228            2018-01-09  29059430    Morton LM  2017-11-01   \n",
       "\n",
       "                        JOURNAL                                  LINK  \\\n",
       "17     Proc Natl Acad Sci U S A  www.ncbi.nlm.nih.gov/pubmed/18326623   \n",
       "126               BMC Med Genet  www.ncbi.nlm.nih.gov/pubmed/17903305   \n",
       "127               BMC Med Genet  www.ncbi.nlm.nih.gov/pubmed/17903305   \n",
       "128               BMC Med Genet  www.ncbi.nlm.nih.gov/pubmed/17903305   \n",
       "129               BMC Med Genet  www.ncbi.nlm.nih.gov/pubmed/17903305   \n",
       "130               BMC Med Genet  www.ncbi.nlm.nih.gov/pubmed/17903305   \n",
       "238                      Nature  www.ncbi.nlm.nih.gov/pubmed/17529967   \n",
       "239                      Nature  www.ncbi.nlm.nih.gov/pubmed/17529967   \n",
       "240                      Nature  www.ncbi.nlm.nih.gov/pubmed/17529967   \n",
       "241                      Nature  www.ncbi.nlm.nih.gov/pubmed/17529967   \n",
       "242                      Nature  www.ncbi.nlm.nih.gov/pubmed/17529967   \n",
       "243                   Nat Genet  www.ncbi.nlm.nih.gov/pubmed/17529973   \n",
       "244                   Nat Genet  www.ncbi.nlm.nih.gov/pubmed/17529974   \n",
       "245                   Nat Genet  www.ncbi.nlm.nih.gov/pubmed/17529974   \n",
       "420                      Nature  www.ncbi.nlm.nih.gov/pubmed/17529967   \n",
       "496               BMC Med Genet  www.ncbi.nlm.nih.gov/pubmed/17903305   \n",
       "497               BMC Med Genet  www.ncbi.nlm.nih.gov/pubmed/17903305   \n",
       "498               BMC Med Genet  www.ncbi.nlm.nih.gov/pubmed/17903305   \n",
       "499               BMC Med Genet  www.ncbi.nlm.nih.gov/pubmed/17903305   \n",
       "791     Breast Cancer Res Treat  www.ncbi.nlm.nih.gov/pubmed/18463975   \n",
       "1238                  Nat Genet  www.ncbi.nlm.nih.gov/pubmed/19219042   \n",
       "1317                  Nat Genet  www.ncbi.nlm.nih.gov/pubmed/19330030   \n",
       "1318                  Nat Genet  www.ncbi.nlm.nih.gov/pubmed/19330030   \n",
       "1319                  Nat Genet  www.ncbi.nlm.nih.gov/pubmed/19330030   \n",
       "1320                  Nat Genet  www.ncbi.nlm.nih.gov/pubmed/19330030   \n",
       "1321                  Nat Genet  www.ncbi.nlm.nih.gov/pubmed/19330030   \n",
       "1322                  Nat Genet  www.ncbi.nlm.nih.gov/pubmed/19330030   \n",
       "2202              Hum Mol Genet  www.ncbi.nlm.nih.gov/pubmed/21908515   \n",
       "2203              Hum Mol Genet  www.ncbi.nlm.nih.gov/pubmed/21908515   \n",
       "2596                  Nat Genet  www.ncbi.nlm.nih.gov/pubmed/22037553   \n",
       "...                         ...                                   ...   \n",
       "63768                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63769                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63770                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63771                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63772                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63773                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63774                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63775                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63776                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63777                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63778                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63779                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63780                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63781                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63782                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63783                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63784                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63785                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63786                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63787                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63788                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63789                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63790                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "64222        J Natl Cancer Inst  www.ncbi.nlm.nih.gov/pubmed/29059430   \n",
       "64223        J Natl Cancer Inst  www.ncbi.nlm.nih.gov/pubmed/29059430   \n",
       "64224        J Natl Cancer Inst  www.ncbi.nlm.nih.gov/pubmed/29059430   \n",
       "64225        J Natl Cancer Inst  www.ncbi.nlm.nih.gov/pubmed/29059430   \n",
       "64226        J Natl Cancer Inst  www.ncbi.nlm.nih.gov/pubmed/29059430   \n",
       "64227        J Natl Cancer Inst  www.ncbi.nlm.nih.gov/pubmed/29059430   \n",
       "64228        J Natl Cancer Inst  www.ncbi.nlm.nih.gov/pubmed/29059430   \n",
       "\n",
       "                                                   STUDY  \\\n",
       "17     Genome-wide association study provides evidenc...   \n",
       "126    A genome-wide association study of breast and ...   \n",
       "127    A genome-wide association study of breast and ...   \n",
       "128    A genome-wide association study of breast and ...   \n",
       "129    A genome-wide association study of breast and ...   \n",
       "130    A genome-wide association study of breast and ...   \n",
       "238    Genome-wide association study identifies novel...   \n",
       "239    Genome-wide association study identifies novel...   \n",
       "240    Genome-wide association study identifies novel...   \n",
       "241    Genome-wide association study identifies novel...   \n",
       "242    Genome-wide association study identifies novel...   \n",
       "243    A genome-wide association study identifies all...   \n",
       "244    Common variants on chromosomes 2q35 and 16q12 ...   \n",
       "245    Common variants on chromosomes 2q35 and 16q12 ...   \n",
       "420    Genome-wide association study identifies novel...   \n",
       "496    A genome-wide association study of breast and ...   \n",
       "497    A genome-wide association study of breast and ...   \n",
       "498    A genome-wide association study of breast and ...   \n",
       "499    A genome-wide association study of breast and ...   \n",
       "791    A pilot genome-wide association study of early...   \n",
       "1238   Genome-wide association study identifies a new...   \n",
       "1317   A multistage genome-wide association study in ...   \n",
       "1318   A multistage genome-wide association study in ...   \n",
       "1319   A multistage genome-wide association study in ...   \n",
       "1320   A multistage genome-wide association study in ...   \n",
       "1321   A multistage genome-wide association study in ...   \n",
       "1322   A multistage genome-wide association study in ...   \n",
       "2202   Genome-wide association study identifies breas...   \n",
       "2203   Genome-wide association study identifies breas...   \n",
       "2596   A common variant at the TERT-CLPTM1L locus is ...   \n",
       "...                                                  ...   \n",
       "63768  Identification of ten variants associated with...   \n",
       "63769  Identification of ten variants associated with...   \n",
       "63770  Identification of ten variants associated with...   \n",
       "63771  Identification of ten variants associated with...   \n",
       "63772  Identification of ten variants associated with...   \n",
       "63773  Identification of ten variants associated with...   \n",
       "63774  Identification of ten variants associated with...   \n",
       "63775  Identification of ten variants associated with...   \n",
       "63776  Identification of ten variants associated with...   \n",
       "63777  Identification of ten variants associated with...   \n",
       "63778  Identification of ten variants associated with...   \n",
       "63779  Identification of ten variants associated with...   \n",
       "63780  Identification of ten variants associated with...   \n",
       "63781  Identification of ten variants associated with...   \n",
       "63782  Identification of ten variants associated with...   \n",
       "63783  Identification of ten variants associated with...   \n",
       "63784  Identification of ten variants associated with...   \n",
       "63785  Identification of ten variants associated with...   \n",
       "63786  Identification of ten variants associated with...   \n",
       "63787  Identification of ten variants associated with...   \n",
       "63788  Identification of ten variants associated with...   \n",
       "63789  Identification of ten variants associated with...   \n",
       "63790  Identification of ten variants associated with...   \n",
       "64222  Genome-Wide Association Study to Identify Susc...   \n",
       "64223  Genome-Wide Association Study to Identify Susc...   \n",
       "64224  Genome-Wide Association Study to Identify Susc...   \n",
       "64225  Genome-Wide Association Study to Identify Susc...   \n",
       "64226  Genome-Wide Association Study to Identify Susc...   \n",
       "64227  Genome-Wide Association Study to Identify Susc...   \n",
       "64228  Genome-Wide Association Study to Identify Susc...   \n",
       "\n",
       "                                           DISEASE/TRAIT  \\\n",
       "17                                         Breast cancer   \n",
       "126                                        Breast cancer   \n",
       "127                                        Breast cancer   \n",
       "128                                        Breast cancer   \n",
       "129                                        Breast cancer   \n",
       "130                                        Breast cancer   \n",
       "238                                        Breast cancer   \n",
       "239                                        Breast cancer   \n",
       "240                                        Breast cancer   \n",
       "241                                        Breast cancer   \n",
       "242                                        Breast cancer   \n",
       "243                                        Breast cancer   \n",
       "244                                        Breast cancer   \n",
       "245                                        Breast cancer   \n",
       "420                                        Breast cancer   \n",
       "496                                        Breast cancer   \n",
       "497                                        Breast cancer   \n",
       "498                                        Breast cancer   \n",
       "499                                        Breast cancer   \n",
       "791                                        Breast cancer   \n",
       "1238                                       Breast cancer   \n",
       "1317                                       Breast cancer   \n",
       "1318                                       Breast cancer   \n",
       "1319                                       Breast cancer   \n",
       "1320                                       Breast cancer   \n",
       "1321                                       Breast cancer   \n",
       "1322                                       Breast cancer   \n",
       "2202                                       Breast cancer   \n",
       "2203                                       Breast cancer   \n",
       "2596                                       Breast cancer   \n",
       "...                                                  ...   \n",
       "63768         Breast cancer (estrogen-receptor negative)   \n",
       "63769         Breast cancer (estrogen-receptor negative)   \n",
       "63770         Breast cancer (estrogen-receptor negative)   \n",
       "63771         Breast cancer (estrogen-receptor negative)   \n",
       "63772         Breast cancer (estrogen-receptor negative)   \n",
       "63773         Breast cancer (estrogen-receptor negative)   \n",
       "63774         Breast cancer (estrogen-receptor negative)   \n",
       "63775         Breast cancer (estrogen-receptor negative)   \n",
       "63776         Breast cancer (estrogen-receptor negative)   \n",
       "63777         Breast cancer (estrogen-receptor negative)   \n",
       "63778         Breast cancer (estrogen-receptor negative)   \n",
       "63779         Breast cancer (estrogen-receptor negative)   \n",
       "63780         Breast cancer (estrogen-receptor negative)   \n",
       "63781         Breast cancer (estrogen-receptor negative)   \n",
       "63782         Breast cancer (estrogen-receptor negative)   \n",
       "63783         Breast cancer (estrogen-receptor negative)   \n",
       "63784         Breast cancer (estrogen-receptor negative)   \n",
       "63785         Breast cancer (estrogen-receptor negative)   \n",
       "63786         Breast cancer (estrogen-receptor negative)   \n",
       "63787         Breast cancer (estrogen-receptor negative)   \n",
       "63788         Breast cancer (estrogen-receptor negative)   \n",
       "63789         Breast cancer (estrogen-receptor negative)   \n",
       "63790         Breast cancer (estrogen-receptor negative)   \n",
       "64222        Breast cancer in childhood cancer survivors   \n",
       "64223        Breast cancer in childhood cancer survivors   \n",
       "64224        Breast cancer in childhood cancer survivors   \n",
       "64225        Breast cancer in childhood cancer survivors   \n",
       "64226  Breast cancer in childhood cancer survivors tr...   \n",
       "64227  Breast cancer in childhood cancer survivors tr...   \n",
       "64228  Breast cancer in childhood cancer survivors tr...   \n",
       "\n",
       "                                     INITIAL SAMPLE SIZE  \\\n",
       "17     249 Ashkenazi Jewish non-BRCA1/2 carriers case...   \n",
       "126                               58 cases, 665 controls   \n",
       "127                               58 cases, 665 controls   \n",
       "128                               58 cases, 665 controls   \n",
       "129                               58 cases, 665 controls   \n",
       "130                               58 cases, 665 controls   \n",
       "238    390 European ancestry cases, 364 European ance...   \n",
       "239    390 European ancestry cases, 364 European ance...   \n",
       "240    390 European ancestry cases, 364 European ance...   \n",
       "241    390 European ancestry cases, 364 European ance...   \n",
       "242    390 European ancestry cases, 364 European ance...   \n",
       "243    1,145 European ancestry cases, 1,142 European ...   \n",
       "244    1,599 European ancestry cases, 11,546 European...   \n",
       "245    1,599 European ancestry cases, 11,546 European...   \n",
       "420    390 European ancestry cases, 364 European ance...   \n",
       "496                               58 cases, 665 controls   \n",
       "497                               58 cases, 665 controls   \n",
       "498                               58 cases, 665 controls   \n",
       "499                               58 cases, 665 controls   \n",
       "791    26 European ancestry cases, 3 Hispanic cases, ...   \n",
       "1238   1,505 Chinese ancestry cases, 1,522 Chinese an...   \n",
       "1317   1,145 European ancestry cases, 1,142 European ...   \n",
       "1318   1,145 European ancestry cases, 1,142 European ...   \n",
       "1319   1,145 European ancestry cases, 1,142 European ...   \n",
       "1320   1,145 European ancestry cases, 1,142 European ...   \n",
       "1321   1,145 European ancestry cases, 1,142 European ...   \n",
       "1322   1,145 European ancestry cases, 1,142 European ...   \n",
       "2202   2,062 East Asian ancestry cases, 2,066 East As...   \n",
       "2203   2,062 East Asian ancestry cases, 2,066 East As...   \n",
       "2596   1,004 African American cases, 2,745 African Am...   \n",
       "...                                                  ...   \n",
       "63768  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63769  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63770  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63771  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63772  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63773  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63774  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63775  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63776  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63777  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63778  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63779  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63780  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63781  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63782  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63783  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63784  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63785  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63786  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63787  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63788  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63789  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63790  14,135 European ancestry cases, 58,126 Europea...   \n",
       "64222  207 European ancestry female cases, 2,774 Euro...   \n",
       "64223  207 European ancestry female cases, 2,774 Euro...   \n",
       "64224  207 European ancestry female cases, 2,774 Euro...   \n",
       "64225  207 European ancestry female cases, 2,774 Euro...   \n",
       "64226  69 European ancestry cases, 2,144 European anc...   \n",
       "64227  69 European ancestry cases, 2,144 European anc...   \n",
       "64228  131 European ancestry cases, 493 European ance...   \n",
       "\n",
       "                                 REPLICATION SAMPLE SIZE ...   \\\n",
       "17     1,193 Ashkenazi Jewish non-BRCA1/2 carriers  c... ...    \n",
       "126                                                  NaN ...    \n",
       "127                                                  NaN ...    \n",
       "128                                                  NaN ...    \n",
       "129                                                  NaN ...    \n",
       "130                                                  NaN ...    \n",
       "238    4,364 East Asian ancestry cases, 24,174 Europe... ...    \n",
       "239    4,364 East Asian ancestry cases, 24,174 Europe... ...    \n",
       "240    4,364 East Asian ancestry cases, 24,174 Europe... ...    \n",
       "241    4,364 East Asian ancestry cases, 24,174 Europe... ...    \n",
       "242    4,364 East Asian ancestry cases, 24,174 Europe... ...    \n",
       "243    874 European ancestry cases, 1,478 European an... ...    \n",
       "244    2,954 European ancestry cases, 5,967 European ... ...    \n",
       "245    2,954 European ancestry cases, 5,967 European ... ...    \n",
       "420    4,364 East Asian ancestry cases, 24,174 Europe... ...    \n",
       "496                                                  NaN ...    \n",
       "497                                                  NaN ...    \n",
       "498                                                  NaN ...    \n",
       "499                                                  NaN ...    \n",
       "791                                                  NaN ...    \n",
       "1238   5,026 Chinese ancestry cases, 2,476 Chinese an... ...    \n",
       "1317   8,625 European ancestry cases, 9,657 European ... ...    \n",
       "1318   8,625 European ancestry cases, 9,657 European ... ...    \n",
       "1319   8,625 European ancestry cases, 9,657 European ... ...    \n",
       "1320   8,625 European ancestry cases, 9,657 European ... ...    \n",
       "1321   8,625 European ancestry cases, 9,657 European ... ...    \n",
       "1322   8,625 European ancestry cases, 9,657 European ... ...    \n",
       "2202   15,091 East Asian ancestry cases, 14,877 East ... ...    \n",
       "2203   15,091 East Asian ancestry cases, 14,877 East ... ...    \n",
       "2596   2,292 European ancestry cases, 16,901 European... ...    \n",
       "...                                                  ... ...    \n",
       "63768  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63769  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63770  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63771  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63772  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63773  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63774  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63775  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63776  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63777  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63778  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63779  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63780  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63781  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63782  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63783  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63784  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63785  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63786  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63787  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63788  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63789  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63790  7,333 European ancestry cases, 42,468 European... ...    \n",
       "64222                                                NaN ...    \n",
       "64223                                                NaN ...    \n",
       "64224                                                NaN ...    \n",
       "64225                                                NaN ...    \n",
       "64226                                                NaN ...    \n",
       "64227                                                NaN ...    \n",
       "64228                                                NaN ...    \n",
       "\n",
       "                                  CONTEXT INTERGENIC RISK ALLELE FREQUENCY  \\\n",
       "17                         intron_variant        0.0                  0.21   \n",
       "126                        intron_variant        0.0                    NR   \n",
       "127                        intron_variant        0.0                    NR   \n",
       "128                    intergenic_variant        1.0                    NR   \n",
       "129                        intron_variant        1.0                    NR   \n",
       "130                        intron_variant        0.0                    NR   \n",
       "238                        intron_variant        0.0                  0.38   \n",
       "239    non_coding_transcript_exon_variant        0.0                  0.25   \n",
       "240             regulatory_region_variant        1.0                  0.28   \n",
       "241                        intron_variant        0.0                  0.40   \n",
       "242                        intron_variant        0.0                  0.30   \n",
       "243                        intron_variant        0.0                  0.40   \n",
       "244                    intergenic_variant        0.0                  0.50   \n",
       "245    non_coding_transcript_exon_variant        0.0                  0.27   \n",
       "420                        intron_variant        0.0                  0.53   \n",
       "496                    intergenic_variant        0.0                    NR   \n",
       "497                        intron_variant        0.0                    NR   \n",
       "498                        intron_variant        0.0                    NR   \n",
       "499                        intron_variant        0.0                    NR   \n",
       "791               downstream_gene_variant        1.0                  0.34   \n",
       "1238                   intergenic_variant        1.0                  0.37   \n",
       "1317                       intron_variant        0.0                  0.41   \n",
       "1318   non_coding_transcript_exon_variant        0.0                  0.27   \n",
       "1319                   intergenic_variant        1.0                  0.15   \n",
       "1320                   intergenic_variant        0.0                  0.51   \n",
       "1321                       intron_variant        0.0                  0.39   \n",
       "1322                       intron_variant        0.0                  0.76   \n",
       "2202                       intron_variant        0.0                  0.45   \n",
       "2203                       intron_variant        0.0                  0.47   \n",
       "2596                       intron_variant        0.0                  0.26   \n",
       "...                                   ...        ...                   ...   \n",
       "63768                      intron_variant        0.0                  0.46   \n",
       "63769                  intergenic_variant        1.0                  0.07   \n",
       "63770                      intron_variant        0.0                  0.77   \n",
       "63771                      intron_variant        1.0                  0.52   \n",
       "63772                  intergenic_variant        1.0                  0.76   \n",
       "63773                      intron_variant        0.0                  0.59   \n",
       "63774                      intron_variant        0.0     0.659999999999999   \n",
       "63775                      intron_variant        1.0                  0.37   \n",
       "63776                      intron_variant        0.0                   0.3   \n",
       "63777                 3_prime_UTR_variant        0.0                  0.26   \n",
       "63778                 3_prime_UTR_variant        0.0                  0.32   \n",
       "63779               upstream_gene_variant        1.0                  0.32   \n",
       "63780                      intron_variant        0.0                  0.26   \n",
       "63781                      intron_variant        0.0                  0.75   \n",
       "63782                      intron_variant        0.0                  0.77   \n",
       "63783                 3_prime_UTR_variant        0.0                  0.58   \n",
       "63784                  intergenic_variant        1.0                   0.7   \n",
       "63785                  intergenic_variant        1.0                  0.32   \n",
       "63786                  intergenic_variant        0.0                  0.34   \n",
       "63787                      intron_variant        0.0                  0.23   \n",
       "63788                    missense_variant        0.0                  0.98   \n",
       "63789                      intron_variant        0.0                  0.95   \n",
       "63790                  intergenic_variant        0.0                   0.5   \n",
       "64222                  intergenic_variant        1.0                2.0E-4   \n",
       "64223                      intron_variant        0.0                  0.03   \n",
       "64224                      intron_variant        0.0                  0.49   \n",
       "64225                  intergenic_variant        1.0                 0.001   \n",
       "64226                  intergenic_variant        1.0                  0.06   \n",
       "64227                  intergenic_variant        1.0                  0.16   \n",
       "64228                      intron_variant        0.0                  0.02   \n",
       "\n",
       "      P-VALUE PVALUE_MLOG  P-VALUE (TEXT)  OR or BETA  \\\n",
       "17      3e-08    7.522879             NaN    1.410000   \n",
       "126     8e-08    7.096910             NaN         NaN   \n",
       "127     5e-07    6.301030             NaN         NaN   \n",
       "128     7e-07    6.154902             NaN         NaN   \n",
       "129     1e-06    6.000000             NaN         NaN   \n",
       "130     2e-06    5.698970             NaN         NaN   \n",
       "238     2e-76   75.698970             NaN    1.260000   \n",
       "239     1e-36   36.000000             NaN    1.200000   \n",
       "240     7e-20   19.154902             NaN    1.130000   \n",
       "241     5e-12   11.301030             NaN    1.080000   \n",
       "242     3e-09    8.522879             NaN    1.070000   \n",
       "243     1e-10   10.000000             NaN    1.200000   \n",
       "244     1e-13   13.000000             NaN    1.200000   \n",
       "245     6e-19   18.221849             NaN    1.280000   \n",
       "420     9e-06    5.045757             NaN    1.040000   \n",
       "496     3e-06    5.522879             NaN         NaN   \n",
       "497     5e-06    5.301030             NaN         NaN   \n",
       "498     6e-06    5.221849             NaN         NaN   \n",
       "499     6e-06    5.221849             NaN         NaN   \n",
       "791     4e-07    6.397940             NaN         NaN   \n",
       "1238    2e-15   14.698970             NaN    1.290000   \n",
       "1317    2e-10    9.698970             NaN    1.170000   \n",
       "1318    1e-09    9.000000             NaN    1.160000   \n",
       "1319    5e-07    6.301030             NaN    1.230000   \n",
       "1320    2e-08    7.698970             NaN    1.250000   \n",
       "1321    7e-10    9.154902             NaN    1.160000   \n",
       "1322    2e-07    6.698970             NaN    1.060000   \n",
       "2202    6e-06    5.221849             NaN    1.110000   \n",
       "2203    6e-09    8.221849             NaN    1.120000   \n",
       "2596    1e-10   10.000000             NaN    1.180000   \n",
       "...       ...         ...             ...         ...   \n",
       "63768   8e-10    9.096910             NaN    1.080000   \n",
       "63769   3e-40   39.522879             NaN    1.320000   \n",
       "63770   3e-08    7.522879             NaN    1.086957   \n",
       "63771   2e-18   17.698970             NaN    1.098901   \n",
       "63772   9e-10    9.045757             NaN    1.086957   \n",
       "63773   3e-12   11.522879             NaN    1.086957   \n",
       "63774   2e-09    8.698970             NaN    1.086957   \n",
       "63775   7e-08    7.154902             NaN    1.060000   \n",
       "63776   1e-10   10.000000             NaN    1.090000   \n",
       "63777   3e-23   22.522879             NaN    1.140000   \n",
       "63778   3e-31   30.522879             NaN    1.150000   \n",
       "63779   3e-37   36.522879             NaN    1.170000   \n",
       "63780   2e-35   34.698970             NaN    1.180000   \n",
       "63781   2e-08    7.698970             NaN    1.086957   \n",
       "63782   4e-08    7.397940             NaN    1.075269   \n",
       "63783   4e-08    7.397940             NaN    1.063830   \n",
       "63784   3e-07    6.522879             NaN    1.063830   \n",
       "63785   2e-07    6.698970             NaN    1.070000   \n",
       "63786   2e-08    7.698970             NaN    1.070000   \n",
       "63787   6e-09    8.221849             NaN    1.090000   \n",
       "63788   2e-06    5.698970             NaN    1.219512   \n",
       "63789   5e-06    5.301030             NaN    1.190476   \n",
       "63790   3e-06    5.522879             NaN    1.063830   \n",
       "64222   6e-07    6.221849             NaN         NaN   \n",
       "64223   4e-07    6.397940             NaN    2.230000   \n",
       "64224   3e-07    6.522879             NaN    1.590000   \n",
       "64225   2e-07    6.698970             NaN    3.850000   \n",
       "64226   2e-07    6.698970             NaN    3.120000   \n",
       "64227   6e-07    6.221849             NaN    2.120000   \n",
       "64228   2e-07    6.698970             NaN    2.550000   \n",
       "\n",
       "                 95% CI (TEXT)                 PLATFORM [SNPS PASSING QC]  CNV  \n",
       "17                 [1.25-1.59]                        Affymetrix [150080]    N  \n",
       "126                        NaN                         Affymetrix [70897]    N  \n",
       "127                        NaN                         Affymetrix [70897]    N  \n",
       "128                        NaN                         Affymetrix [70897]    N  \n",
       "129                        NaN                         Affymetrix [70897]    N  \n",
       "130                        NaN                         Affymetrix [70897]    N  \n",
       "238                [1.23-1.30]                          Perlegen [205586]    N  \n",
       "239                [1.16-1.24]                          Perlegen [205586]    N  \n",
       "240                [1.10-1.16]                          Perlegen [205586]    N  \n",
       "241                [1.05-1.11]                          Perlegen [205586]    N  \n",
       "242                [1.04-1.11]                          Perlegen [205586]    N  \n",
       "243                [1.07-1.42]                          Illumina [528173]    N  \n",
       "244                [1.14-1.26]                          Illumina [311524]    N  \n",
       "245                [1.21-1.35]                          Illumina [311524]    N  \n",
       "420                [1.01-1.08]                          Perlegen [205586]    N  \n",
       "496                        NaN                         Affymetrix [70897]    N  \n",
       "497                        NaN                         Affymetrix [70897]    N  \n",
       "498                        NaN                         Affymetrix [70897]    N  \n",
       "499                        NaN                         Affymetrix [70897]    N  \n",
       "791                        NaN                        Affymetrix [200220]    N  \n",
       "1238               [1.21-1.37]                  Affymetrix [up to 607728]    N  \n",
       "1317         [1.07-1.27] (Het)                          Illumina [528173]    N  \n",
       "1318         [1.07-1.27] (Het)                          Illumina [528173]    N  \n",
       "1319         [1.12-1.35] (Het)                          Illumina [528173]    N  \n",
       "1320         [1.15-1.37] (Het)                          Illumina [528173]    N  \n",
       "1321         [1.09-1.24] (Het)                          Illumina [528173]    N  \n",
       "1322         [1.01-1.14] (Het)                          Illumina [528173]    N  \n",
       "2202               [1.05-1.17]                        Affymetrix [684457]    N  \n",
       "2203               [1.06-1.18]                        Affymetrix [684457]    N  \n",
       "2596               [1.13-1.25]               Illumina [3154485] (imputed)    N  \n",
       "...                        ...                                        ...  ...  \n",
       "63768  [1.04-1.11] (Oncoarray)            Illumina [~ 11500000] (imputed)    N  \n",
       "63769  [1.25-1.40] (Oncoarray)            Illumina [~ 11500000] (imputed)    N  \n",
       "63770  [1.04-1.12] (Oncoarray)            Illumina [~ 11500000] (imputed)    N  \n",
       "63771              [1.08-1.12]            Illumina [~ 11500000] (imputed)    N  \n",
       "63772              [1.05-1.11]            Illumina [~ 11500000] (imputed)    N  \n",
       "63773              [1.06-1.11]            Illumina [~ 11500000] (imputed)    N  \n",
       "63774              [1.05-1.11]            Illumina [~ 11500000] (imputed)    N  \n",
       "63775              [1.04-1.09]            Illumina [~ 11500000] (imputed)    N  \n",
       "63776              [1.06-1.12]            Illumina [~ 11500000] (imputed)    N  \n",
       "63777              [1.11-1.16]            Illumina [~ 11500000] (imputed)    N  \n",
       "63778              [1.12-1.18]            Illumina [~ 11500000] (imputed)    N  \n",
       "63779              [1.14-1.19]            Illumina [~ 11500000] (imputed)    N  \n",
       "63780              [1.15-1.21]            Illumina [~ 11500000] (imputed)    N  \n",
       "63781              [1.05-1.11]            Illumina [~ 11500000] (imputed)    N  \n",
       "63782              [1.05-1.11]            Illumina [~ 11500000] (imputed)    N  \n",
       "63783              [1.04-1.09]            Illumina [~ 11500000] (imputed)    N  \n",
       "63784               [1.04-1.1]            Illumina [~ 11500000] (imputed)    N  \n",
       "63785              [1.04-1.09]            Illumina [~ 11500000] (imputed)    N  \n",
       "63786              [1.04-1.09]            Illumina [~ 11500000] (imputed)    N  \n",
       "63787              [1.06-1.12]            Illumina [~ 11500000] (imputed)    N  \n",
       "63788              [1.12-1.33]            Illumina [~ 11500000] (imputed)    N  \n",
       "63789    [1.1-1.3] (Oncoarray)            Illumina [~ 11500000] (imputed)    N  \n",
       "63790  [1.02-1.09] (Oncoarray)            Illumina [~ 11500000] (imputed)    N  \n",
       "64222                      NaN  Affymetrix, Illumina [16958466] (imputed)    N  \n",
       "64223              [1.52-3.26]  Affymetrix, Illumina [16958466] (imputed)    N  \n",
       "64224              [1.30-1.92]  Affymetrix, Illumina [16958466] (imputed)    N  \n",
       "64225               [1.67-8.9]  Affymetrix, Illumina [16958466] (imputed)    N  \n",
       "64226              [1.96-4.96]  Affymetrix, Illumina [16958466] (imputed)    N  \n",
       "64227              [1.50-3.01]  Affymetrix, Illumina [16958466] (imputed)    N  \n",
       "64228              [1.61-4.02]  Affymetrix, Illumina [16958466] (imputed)    N  \n",
       "\n",
       "[1341 rows x 34 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas[gwas[\"DISEASE/TRAIT\"].str.contains(\"Breast\")]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Το ίδιο αλλά χωρίς να νοιαζόμαστε για μικρά/κεφαλαία (case insensitive search)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DATE ADDED TO CATALOG</th>\n",
       "      <th>PUBMEDID</th>\n",
       "      <th>FIRST AUTHOR</th>\n",
       "      <th>DATE</th>\n",
       "      <th>JOURNAL</th>\n",
       "      <th>LINK</th>\n",
       "      <th>STUDY</th>\n",
       "      <th>DISEASE/TRAIT</th>\n",
       "      <th>INITIAL SAMPLE SIZE</th>\n",
       "      <th>REPLICATION SAMPLE SIZE</th>\n",
       "      <th>...</th>\n",
       "      <th>CONTEXT</th>\n",
       "      <th>INTERGENIC</th>\n",
       "      <th>RISK ALLELE FREQUENCY</th>\n",
       "      <th>P-VALUE</th>\n",
       "      <th>PVALUE_MLOG</th>\n",
       "      <th>P-VALUE (TEXT)</th>\n",
       "      <th>OR or BETA</th>\n",
       "      <th>95% CI (TEXT)</th>\n",
       "      <th>PLATFORM [SNPS PASSING QC]</th>\n",
       "      <th>CNV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>18326623</td>\n",
       "      <td>Gold B</td>\n",
       "      <td>2008-03-11</td>\n",
       "      <td>Proc Natl Acad Sci U S A</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18326623</td>\n",
       "      <td>Genome-wide association study provides evidenc...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>249 Ashkenazi Jewish non-BRCA1/2 carriers case...</td>\n",
       "      <td>1,193 Ashkenazi Jewish non-BRCA1/2 carriers  c...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.21</td>\n",
       "      <td>3e-08</td>\n",
       "      <td>7.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.410000</td>\n",
       "      <td>[1.25-1.59]</td>\n",
       "      <td>Affymetrix [150080]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>2008-09-10</td>\n",
       "      <td>17903305</td>\n",
       "      <td>Murabito JM</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17903305</td>\n",
       "      <td>A genome-wide association study of breast and ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>58 cases, 665 controls</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>8e-08</td>\n",
       "      <td>7.096910</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affymetrix [70897]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>2008-09-10</td>\n",
       "      <td>17903305</td>\n",
       "      <td>Murabito JM</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17903305</td>\n",
       "      <td>A genome-wide association study of breast and ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>58 cases, 665 controls</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>5e-07</td>\n",
       "      <td>6.301030</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affymetrix [70897]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>2008-09-10</td>\n",
       "      <td>17903305</td>\n",
       "      <td>Murabito JM</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17903305</td>\n",
       "      <td>A genome-wide association study of breast and ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>58 cases, 665 controls</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>7e-07</td>\n",
       "      <td>6.154902</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affymetrix [70897]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>2008-09-10</td>\n",
       "      <td>17903305</td>\n",
       "      <td>Murabito JM</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17903305</td>\n",
       "      <td>A genome-wide association study of breast and ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>58 cases, 665 controls</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>1e-06</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affymetrix [70897]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>2008-09-10</td>\n",
       "      <td>17903305</td>\n",
       "      <td>Murabito JM</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17903305</td>\n",
       "      <td>A genome-wide association study of breast and ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>58 cases, 665 controls</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>2e-06</td>\n",
       "      <td>5.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affymetrix [70897]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>17529967</td>\n",
       "      <td>Easton DF</td>\n",
       "      <td>2007-05-27</td>\n",
       "      <td>Nature</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17529967</td>\n",
       "      <td>Genome-wide association study identifies novel...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>390 European ancestry cases, 364 European ance...</td>\n",
       "      <td>4,364 East Asian ancestry cases, 24,174 Europe...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.38</td>\n",
       "      <td>2e-76</td>\n",
       "      <td>75.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.260000</td>\n",
       "      <td>[1.23-1.30]</td>\n",
       "      <td>Perlegen [205586]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>17529967</td>\n",
       "      <td>Easton DF</td>\n",
       "      <td>2007-05-27</td>\n",
       "      <td>Nature</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17529967</td>\n",
       "      <td>Genome-wide association study identifies novel...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>390 European ancestry cases, 364 European ance...</td>\n",
       "      <td>4,364 East Asian ancestry cases, 24,174 Europe...</td>\n",
       "      <td>...</td>\n",
       "      <td>non_coding_transcript_exon_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1e-36</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.200000</td>\n",
       "      <td>[1.16-1.24]</td>\n",
       "      <td>Perlegen [205586]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>17529967</td>\n",
       "      <td>Easton DF</td>\n",
       "      <td>2007-05-27</td>\n",
       "      <td>Nature</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17529967</td>\n",
       "      <td>Genome-wide association study identifies novel...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>390 European ancestry cases, 364 European ance...</td>\n",
       "      <td>4,364 East Asian ancestry cases, 24,174 Europe...</td>\n",
       "      <td>...</td>\n",
       "      <td>regulatory_region_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.28</td>\n",
       "      <td>7e-20</td>\n",
       "      <td>19.154902</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.130000</td>\n",
       "      <td>[1.10-1.16]</td>\n",
       "      <td>Perlegen [205586]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>17529967</td>\n",
       "      <td>Easton DF</td>\n",
       "      <td>2007-05-27</td>\n",
       "      <td>Nature</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17529967</td>\n",
       "      <td>Genome-wide association study identifies novel...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>390 European ancestry cases, 364 European ance...</td>\n",
       "      <td>4,364 East Asian ancestry cases, 24,174 Europe...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.40</td>\n",
       "      <td>5e-12</td>\n",
       "      <td>11.301030</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.080000</td>\n",
       "      <td>[1.05-1.11]</td>\n",
       "      <td>Perlegen [205586]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>17529967</td>\n",
       "      <td>Easton DF</td>\n",
       "      <td>2007-05-27</td>\n",
       "      <td>Nature</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17529967</td>\n",
       "      <td>Genome-wide association study identifies novel...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>390 European ancestry cases, 364 European ance...</td>\n",
       "      <td>4,364 East Asian ancestry cases, 24,174 Europe...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.30</td>\n",
       "      <td>3e-09</td>\n",
       "      <td>8.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.070000</td>\n",
       "      <td>[1.04-1.11]</td>\n",
       "      <td>Perlegen [205586]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>17529973</td>\n",
       "      <td>Hunter DJ</td>\n",
       "      <td>2007-05-27</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17529973</td>\n",
       "      <td>A genome-wide association study identifies all...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>1,145 European ancestry cases, 1,142 European ...</td>\n",
       "      <td>874 European ancestry cases, 1,478 European an...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.40</td>\n",
       "      <td>1e-10</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.200000</td>\n",
       "      <td>[1.07-1.42]</td>\n",
       "      <td>Illumina [528173]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>17529974</td>\n",
       "      <td>Stacey SN</td>\n",
       "      <td>2007-05-27</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17529974</td>\n",
       "      <td>Common variants on chromosomes 2q35 and 16q12 ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>1,599 European ancestry cases, 11,546 European...</td>\n",
       "      <td>2,954 European ancestry cases, 5,967 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.50</td>\n",
       "      <td>1e-13</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.200000</td>\n",
       "      <td>[1.14-1.26]</td>\n",
       "      <td>Illumina [311524]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>17529974</td>\n",
       "      <td>Stacey SN</td>\n",
       "      <td>2007-05-27</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17529974</td>\n",
       "      <td>Common variants on chromosomes 2q35 and 16q12 ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>1,599 European ancestry cases, 11,546 European...</td>\n",
       "      <td>2,954 European ancestry cases, 5,967 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>non_coding_transcript_exon_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.27</td>\n",
       "      <td>6e-19</td>\n",
       "      <td>18.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.280000</td>\n",
       "      <td>[1.21-1.35]</td>\n",
       "      <td>Illumina [311524]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>420</th>\n",
       "      <td>2008-06-16</td>\n",
       "      <td>17529967</td>\n",
       "      <td>Easton DF</td>\n",
       "      <td>2007-05-27</td>\n",
       "      <td>Nature</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17529967</td>\n",
       "      <td>Genome-wide association study identifies novel...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>390 European ancestry cases, 364 European ance...</td>\n",
       "      <td>4,364 East Asian ancestry cases, 24,174 Europe...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.53</td>\n",
       "      <td>9e-06</td>\n",
       "      <td>5.045757</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.040000</td>\n",
       "      <td>[1.01-1.08]</td>\n",
       "      <td>Perlegen [205586]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>496</th>\n",
       "      <td>2008-09-10</td>\n",
       "      <td>17903305</td>\n",
       "      <td>Murabito JM</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17903305</td>\n",
       "      <td>A genome-wide association study of breast and ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>58 cases, 665 controls</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>3e-06</td>\n",
       "      <td>5.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affymetrix [70897]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>497</th>\n",
       "      <td>2008-09-10</td>\n",
       "      <td>17903305</td>\n",
       "      <td>Murabito JM</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17903305</td>\n",
       "      <td>A genome-wide association study of breast and ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>58 cases, 665 controls</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>5e-06</td>\n",
       "      <td>5.301030</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affymetrix [70897]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>498</th>\n",
       "      <td>2008-09-10</td>\n",
       "      <td>17903305</td>\n",
       "      <td>Murabito JM</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17903305</td>\n",
       "      <td>A genome-wide association study of breast and ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>58 cases, 665 controls</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>6e-06</td>\n",
       "      <td>5.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affymetrix [70897]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>499</th>\n",
       "      <td>2008-09-10</td>\n",
       "      <td>17903305</td>\n",
       "      <td>Murabito JM</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>BMC Med Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/17903305</td>\n",
       "      <td>A genome-wide association study of breast and ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>58 cases, 665 controls</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>6e-06</td>\n",
       "      <td>5.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affymetrix [70897]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>791</th>\n",
       "      <td>2008-10-14</td>\n",
       "      <td>18463975</td>\n",
       "      <td>Kibriya MG</td>\n",
       "      <td>2008-05-08</td>\n",
       "      <td>Breast Cancer Res Treat</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/18463975</td>\n",
       "      <td>A pilot genome-wide association study of early...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>26 European ancestry cases, 3 Hispanic cases, ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>downstream_gene_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.34</td>\n",
       "      <td>4e-07</td>\n",
       "      <td>6.397940</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affymetrix [200220]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1238</th>\n",
       "      <td>2009-02-28</td>\n",
       "      <td>19219042</td>\n",
       "      <td>Zheng W</td>\n",
       "      <td>2009-02-15</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/19219042</td>\n",
       "      <td>Genome-wide association study identifies a new...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>1,505 Chinese ancestry cases, 1,522 Chinese an...</td>\n",
       "      <td>5,026 Chinese ancestry cases, 2,476 Chinese an...</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.37</td>\n",
       "      <td>2e-15</td>\n",
       "      <td>14.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.290000</td>\n",
       "      <td>[1.21-1.37]</td>\n",
       "      <td>Affymetrix [up to 607728]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1317</th>\n",
       "      <td>2009-04-03</td>\n",
       "      <td>19330030</td>\n",
       "      <td>Thomas G</td>\n",
       "      <td>2009-03-29</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/19330030</td>\n",
       "      <td>A multistage genome-wide association study in ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>1,145 European ancestry cases, 1,142 European ...</td>\n",
       "      <td>8,625 European ancestry cases, 9,657 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.41</td>\n",
       "      <td>2e-10</td>\n",
       "      <td>9.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.170000</td>\n",
       "      <td>[1.07-1.27] (Het)</td>\n",
       "      <td>Illumina [528173]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1318</th>\n",
       "      <td>2009-04-03</td>\n",
       "      <td>19330030</td>\n",
       "      <td>Thomas G</td>\n",
       "      <td>2009-03-29</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/19330030</td>\n",
       "      <td>A multistage genome-wide association study in ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>1,145 European ancestry cases, 1,142 European ...</td>\n",
       "      <td>8,625 European ancestry cases, 9,657 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>non_coding_transcript_exon_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.27</td>\n",
       "      <td>1e-09</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.160000</td>\n",
       "      <td>[1.07-1.27] (Het)</td>\n",
       "      <td>Illumina [528173]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1319</th>\n",
       "      <td>2009-04-03</td>\n",
       "      <td>19330030</td>\n",
       "      <td>Thomas G</td>\n",
       "      <td>2009-03-29</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/19330030</td>\n",
       "      <td>A multistage genome-wide association study in ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>1,145 European ancestry cases, 1,142 European ...</td>\n",
       "      <td>8,625 European ancestry cases, 9,657 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.15</td>\n",
       "      <td>5e-07</td>\n",
       "      <td>6.301030</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.230000</td>\n",
       "      <td>[1.12-1.35] (Het)</td>\n",
       "      <td>Illumina [528173]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1320</th>\n",
       "      <td>2009-04-03</td>\n",
       "      <td>19330030</td>\n",
       "      <td>Thomas G</td>\n",
       "      <td>2009-03-29</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/19330030</td>\n",
       "      <td>A multistage genome-wide association study in ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>1,145 European ancestry cases, 1,142 European ...</td>\n",
       "      <td>8,625 European ancestry cases, 9,657 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.51</td>\n",
       "      <td>2e-08</td>\n",
       "      <td>7.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.250000</td>\n",
       "      <td>[1.15-1.37] (Het)</td>\n",
       "      <td>Illumina [528173]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1321</th>\n",
       "      <td>2009-04-03</td>\n",
       "      <td>19330030</td>\n",
       "      <td>Thomas G</td>\n",
       "      <td>2009-03-29</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/19330030</td>\n",
       "      <td>A multistage genome-wide association study in ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>1,145 European ancestry cases, 1,142 European ...</td>\n",
       "      <td>8,625 European ancestry cases, 9,657 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.39</td>\n",
       "      <td>7e-10</td>\n",
       "      <td>9.154902</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.160000</td>\n",
       "      <td>[1.09-1.24] (Het)</td>\n",
       "      <td>Illumina [528173]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1322</th>\n",
       "      <td>2009-04-03</td>\n",
       "      <td>19330030</td>\n",
       "      <td>Thomas G</td>\n",
       "      <td>2009-03-29</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/19330030</td>\n",
       "      <td>A multistage genome-wide association study in ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>1,145 European ancestry cases, 1,142 European ...</td>\n",
       "      <td>8,625 European ancestry cases, 9,657 European ...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.76</td>\n",
       "      <td>2e-07</td>\n",
       "      <td>6.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.060000</td>\n",
       "      <td>[1.01-1.14] (Het)</td>\n",
       "      <td>Illumina [528173]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2202</th>\n",
       "      <td>2011-09-30</td>\n",
       "      <td>21908515</td>\n",
       "      <td>Cai Q</td>\n",
       "      <td>2011-09-09</td>\n",
       "      <td>Hum Mol Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/21908515</td>\n",
       "      <td>Genome-wide association study identifies breas...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>2,062 East Asian ancestry cases, 2,066 East As...</td>\n",
       "      <td>15,091 East Asian ancestry cases, 14,877 East ...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.45</td>\n",
       "      <td>6e-06</td>\n",
       "      <td>5.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.110000</td>\n",
       "      <td>[1.05-1.17]</td>\n",
       "      <td>Affymetrix [684457]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2203</th>\n",
       "      <td>2011-09-30</td>\n",
       "      <td>21908515</td>\n",
       "      <td>Cai Q</td>\n",
       "      <td>2011-09-09</td>\n",
       "      <td>Hum Mol Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/21908515</td>\n",
       "      <td>Genome-wide association study identifies breas...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>2,062 East Asian ancestry cases, 2,066 East As...</td>\n",
       "      <td>15,091 East Asian ancestry cases, 14,877 East ...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.47</td>\n",
       "      <td>6e-09</td>\n",
       "      <td>8.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.120000</td>\n",
       "      <td>[1.06-1.18]</td>\n",
       "      <td>Affymetrix [684457]</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2596</th>\n",
       "      <td>2011-11-24</td>\n",
       "      <td>22037553</td>\n",
       "      <td>Haiman CA</td>\n",
       "      <td>2011-10-30</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/22037553</td>\n",
       "      <td>A common variant at the TERT-CLPTM1L locus is ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>1,004 African American cases, 2,745 African Am...</td>\n",
       "      <td>2,292 European ancestry cases, 16,901 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.26</td>\n",
       "      <td>1e-10</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.180000</td>\n",
       "      <td>[1.13-1.25]</td>\n",
       "      <td>Illumina [3154485] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63768</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.46</td>\n",
       "      <td>8e-10</td>\n",
       "      <td>9.096910</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.080000</td>\n",
       "      <td>[1.04-1.11] (Oncoarray)</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63769</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.07</td>\n",
       "      <td>3e-40</td>\n",
       "      <td>39.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.320000</td>\n",
       "      <td>[1.25-1.40] (Oncoarray)</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63770</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.77</td>\n",
       "      <td>3e-08</td>\n",
       "      <td>7.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.086957</td>\n",
       "      <td>[1.04-1.12] (Oncoarray)</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63771</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.52</td>\n",
       "      <td>2e-18</td>\n",
       "      <td>17.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.098901</td>\n",
       "      <td>[1.08-1.12]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63772</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.76</td>\n",
       "      <td>9e-10</td>\n",
       "      <td>9.045757</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.086957</td>\n",
       "      <td>[1.05-1.11]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63773</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.59</td>\n",
       "      <td>3e-12</td>\n",
       "      <td>11.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.086957</td>\n",
       "      <td>[1.06-1.11]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63774</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.659999999999999</td>\n",
       "      <td>2e-09</td>\n",
       "      <td>8.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.086957</td>\n",
       "      <td>[1.05-1.11]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63775</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.37</td>\n",
       "      <td>7e-08</td>\n",
       "      <td>7.154902</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.060000</td>\n",
       "      <td>[1.04-1.09]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63776</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1e-10</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.090000</td>\n",
       "      <td>[1.06-1.12]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63777</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>3_prime_UTR_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.26</td>\n",
       "      <td>3e-23</td>\n",
       "      <td>22.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.140000</td>\n",
       "      <td>[1.11-1.16]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63778</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>3_prime_UTR_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.32</td>\n",
       "      <td>3e-31</td>\n",
       "      <td>30.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.150000</td>\n",
       "      <td>[1.12-1.18]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63779</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>upstream_gene_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.32</td>\n",
       "      <td>3e-37</td>\n",
       "      <td>36.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.170000</td>\n",
       "      <td>[1.14-1.19]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63780</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.26</td>\n",
       "      <td>2e-35</td>\n",
       "      <td>34.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.180000</td>\n",
       "      <td>[1.15-1.21]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63781</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.75</td>\n",
       "      <td>2e-08</td>\n",
       "      <td>7.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.086957</td>\n",
       "      <td>[1.05-1.11]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63782</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.77</td>\n",
       "      <td>4e-08</td>\n",
       "      <td>7.397940</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.075269</td>\n",
       "      <td>[1.05-1.11]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63783</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>3_prime_UTR_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.58</td>\n",
       "      <td>4e-08</td>\n",
       "      <td>7.397940</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.063830</td>\n",
       "      <td>[1.04-1.09]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63784</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>3e-07</td>\n",
       "      <td>6.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.063830</td>\n",
       "      <td>[1.04-1.1]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63785</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.32</td>\n",
       "      <td>2e-07</td>\n",
       "      <td>6.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.070000</td>\n",
       "      <td>[1.04-1.09]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63786</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.34</td>\n",
       "      <td>2e-08</td>\n",
       "      <td>7.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.070000</td>\n",
       "      <td>[1.04-1.09]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63787</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.23</td>\n",
       "      <td>6e-09</td>\n",
       "      <td>8.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.090000</td>\n",
       "      <td>[1.06-1.12]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63788</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>missense_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.98</td>\n",
       "      <td>2e-06</td>\n",
       "      <td>5.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.219512</td>\n",
       "      <td>[1.12-1.33]</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63789</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.95</td>\n",
       "      <td>5e-06</td>\n",
       "      <td>5.301030</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.190476</td>\n",
       "      <td>[1.1-1.3] (Oncoarray)</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63790</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29058716</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>3e-06</td>\n",
       "      <td>5.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.063830</td>\n",
       "      <td>[1.02-1.09] (Oncoarray)</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64222</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>29059430</td>\n",
       "      <td>Morton LM</td>\n",
       "      <td>2017-11-01</td>\n",
       "      <td>J Natl Cancer Inst</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29059430</td>\n",
       "      <td>Genome-Wide Association Study to Identify Susc...</td>\n",
       "      <td>Breast cancer in childhood cancer survivors</td>\n",
       "      <td>207 European ancestry female cases, 2,774 Euro...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0E-4</td>\n",
       "      <td>6e-07</td>\n",
       "      <td>6.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affymetrix, Illumina [16958466] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64223</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>29059430</td>\n",
       "      <td>Morton LM</td>\n",
       "      <td>2017-11-01</td>\n",
       "      <td>J Natl Cancer Inst</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29059430</td>\n",
       "      <td>Genome-Wide Association Study to Identify Susc...</td>\n",
       "      <td>Breast cancer in childhood cancer survivors</td>\n",
       "      <td>207 European ancestry female cases, 2,774 Euro...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.03</td>\n",
       "      <td>4e-07</td>\n",
       "      <td>6.397940</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.230000</td>\n",
       "      <td>[1.52-3.26]</td>\n",
       "      <td>Affymetrix, Illumina [16958466] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64224</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>29059430</td>\n",
       "      <td>Morton LM</td>\n",
       "      <td>2017-11-01</td>\n",
       "      <td>J Natl Cancer Inst</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29059430</td>\n",
       "      <td>Genome-Wide Association Study to Identify Susc...</td>\n",
       "      <td>Breast cancer in childhood cancer survivors</td>\n",
       "      <td>207 European ancestry female cases, 2,774 Euro...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.49</td>\n",
       "      <td>3e-07</td>\n",
       "      <td>6.522879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.590000</td>\n",
       "      <td>[1.30-1.92]</td>\n",
       "      <td>Affymetrix, Illumina [16958466] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64225</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>29059430</td>\n",
       "      <td>Morton LM</td>\n",
       "      <td>2017-11-01</td>\n",
       "      <td>J Natl Cancer Inst</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29059430</td>\n",
       "      <td>Genome-Wide Association Study to Identify Susc...</td>\n",
       "      <td>Breast cancer in childhood cancer survivors</td>\n",
       "      <td>207 European ancestry female cases, 2,774 Euro...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.001</td>\n",
       "      <td>2e-07</td>\n",
       "      <td>6.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.850000</td>\n",
       "      <td>[1.67-8.9]</td>\n",
       "      <td>Affymetrix, Illumina [16958466] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64226</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>29059430</td>\n",
       "      <td>Morton LM</td>\n",
       "      <td>2017-11-01</td>\n",
       "      <td>J Natl Cancer Inst</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29059430</td>\n",
       "      <td>Genome-Wide Association Study to Identify Susc...</td>\n",
       "      <td>Breast cancer in childhood cancer survivors tr...</td>\n",
       "      <td>69 European ancestry cases, 2,144 European anc...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.06</td>\n",
       "      <td>2e-07</td>\n",
       "      <td>6.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.120000</td>\n",
       "      <td>[1.96-4.96]</td>\n",
       "      <td>Affymetrix, Illumina [16958466] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64227</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>29059430</td>\n",
       "      <td>Morton LM</td>\n",
       "      <td>2017-11-01</td>\n",
       "      <td>J Natl Cancer Inst</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29059430</td>\n",
       "      <td>Genome-Wide Association Study to Identify Susc...</td>\n",
       "      <td>Breast cancer in childhood cancer survivors tr...</td>\n",
       "      <td>69 European ancestry cases, 2,144 European anc...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.16</td>\n",
       "      <td>6e-07</td>\n",
       "      <td>6.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.120000</td>\n",
       "      <td>[1.50-3.01]</td>\n",
       "      <td>Affymetrix, Illumina [16958466] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64228</th>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>29059430</td>\n",
       "      <td>Morton LM</td>\n",
       "      <td>2017-11-01</td>\n",
       "      <td>J Natl Cancer Inst</td>\n",
       "      <td>www.ncbi.nlm.nih.gov/pubmed/29059430</td>\n",
       "      <td>Genome-Wide Association Study to Identify Susc...</td>\n",
       "      <td>Breast cancer in childhood cancer survivors tr...</td>\n",
       "      <td>131 European ancestry cases, 493 European ance...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>intron_variant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.02</td>\n",
       "      <td>2e-07</td>\n",
       "      <td>6.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.550000</td>\n",
       "      <td>[1.61-4.02]</td>\n",
       "      <td>Affymetrix, Illumina [16958466] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1446 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      DATE ADDED TO CATALOG  PUBMEDID FIRST AUTHOR        DATE  \\\n",
       "17               2008-06-16  18326623       Gold B  2008-03-11   \n",
       "126              2008-09-10  17903305  Murabito JM  2007-09-19   \n",
       "127              2008-09-10  17903305  Murabito JM  2007-09-19   \n",
       "128              2008-09-10  17903305  Murabito JM  2007-09-19   \n",
       "129              2008-09-10  17903305  Murabito JM  2007-09-19   \n",
       "130              2008-09-10  17903305  Murabito JM  2007-09-19   \n",
       "238              2008-06-16  17529967    Easton DF  2007-05-27   \n",
       "239              2008-06-16  17529967    Easton DF  2007-05-27   \n",
       "240              2008-06-16  17529967    Easton DF  2007-05-27   \n",
       "241              2008-06-16  17529967    Easton DF  2007-05-27   \n",
       "242              2008-06-16  17529967    Easton DF  2007-05-27   \n",
       "243              2008-06-16  17529973    Hunter DJ  2007-05-27   \n",
       "244              2008-06-16  17529974    Stacey SN  2007-05-27   \n",
       "245              2008-06-16  17529974    Stacey SN  2007-05-27   \n",
       "420              2008-06-16  17529967    Easton DF  2007-05-27   \n",
       "496              2008-09-10  17903305  Murabito JM  2007-09-19   \n",
       "497              2008-09-10  17903305  Murabito JM  2007-09-19   \n",
       "498              2008-09-10  17903305  Murabito JM  2007-09-19   \n",
       "499              2008-09-10  17903305  Murabito JM  2007-09-19   \n",
       "791              2008-10-14  18463975   Kibriya MG  2008-05-08   \n",
       "1238             2009-02-28  19219042      Zheng W  2009-02-15   \n",
       "1317             2009-04-03  19330030     Thomas G  2009-03-29   \n",
       "1318             2009-04-03  19330030     Thomas G  2009-03-29   \n",
       "1319             2009-04-03  19330030     Thomas G  2009-03-29   \n",
       "1320             2009-04-03  19330030     Thomas G  2009-03-29   \n",
       "1321             2009-04-03  19330030     Thomas G  2009-03-29   \n",
       "1322             2009-04-03  19330030     Thomas G  2009-03-29   \n",
       "2202             2011-09-30  21908515        Cai Q  2011-09-09   \n",
       "2203             2011-09-30  21908515        Cai Q  2011-09-09   \n",
       "2596             2011-11-24  22037553    Haiman CA  2011-10-30   \n",
       "...                     ...       ...          ...         ...   \n",
       "63768            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63769            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63770            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63771            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63772            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63773            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63774            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63775            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63776            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63777            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63778            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63779            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63780            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63781            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63782            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63783            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63784            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63785            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63786            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63787            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63788            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63789            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "63790            2017-12-19  29058716     Milne RL  2017-10-23   \n",
       "64222            2018-01-09  29059430    Morton LM  2017-11-01   \n",
       "64223            2018-01-09  29059430    Morton LM  2017-11-01   \n",
       "64224            2018-01-09  29059430    Morton LM  2017-11-01   \n",
       "64225            2018-01-09  29059430    Morton LM  2017-11-01   \n",
       "64226            2018-01-09  29059430    Morton LM  2017-11-01   \n",
       "64227            2018-01-09  29059430    Morton LM  2017-11-01   \n",
       "64228            2018-01-09  29059430    Morton LM  2017-11-01   \n",
       "\n",
       "                        JOURNAL                                  LINK  \\\n",
       "17     Proc Natl Acad Sci U S A  www.ncbi.nlm.nih.gov/pubmed/18326623   \n",
       "126               BMC Med Genet  www.ncbi.nlm.nih.gov/pubmed/17903305   \n",
       "127               BMC Med Genet  www.ncbi.nlm.nih.gov/pubmed/17903305   \n",
       "128               BMC Med Genet  www.ncbi.nlm.nih.gov/pubmed/17903305   \n",
       "129               BMC Med Genet  www.ncbi.nlm.nih.gov/pubmed/17903305   \n",
       "130               BMC Med Genet  www.ncbi.nlm.nih.gov/pubmed/17903305   \n",
       "238                      Nature  www.ncbi.nlm.nih.gov/pubmed/17529967   \n",
       "239                      Nature  www.ncbi.nlm.nih.gov/pubmed/17529967   \n",
       "240                      Nature  www.ncbi.nlm.nih.gov/pubmed/17529967   \n",
       "241                      Nature  www.ncbi.nlm.nih.gov/pubmed/17529967   \n",
       "242                      Nature  www.ncbi.nlm.nih.gov/pubmed/17529967   \n",
       "243                   Nat Genet  www.ncbi.nlm.nih.gov/pubmed/17529973   \n",
       "244                   Nat Genet  www.ncbi.nlm.nih.gov/pubmed/17529974   \n",
       "245                   Nat Genet  www.ncbi.nlm.nih.gov/pubmed/17529974   \n",
       "420                      Nature  www.ncbi.nlm.nih.gov/pubmed/17529967   \n",
       "496               BMC Med Genet  www.ncbi.nlm.nih.gov/pubmed/17903305   \n",
       "497               BMC Med Genet  www.ncbi.nlm.nih.gov/pubmed/17903305   \n",
       "498               BMC Med Genet  www.ncbi.nlm.nih.gov/pubmed/17903305   \n",
       "499               BMC Med Genet  www.ncbi.nlm.nih.gov/pubmed/17903305   \n",
       "791     Breast Cancer Res Treat  www.ncbi.nlm.nih.gov/pubmed/18463975   \n",
       "1238                  Nat Genet  www.ncbi.nlm.nih.gov/pubmed/19219042   \n",
       "1317                  Nat Genet  www.ncbi.nlm.nih.gov/pubmed/19330030   \n",
       "1318                  Nat Genet  www.ncbi.nlm.nih.gov/pubmed/19330030   \n",
       "1319                  Nat Genet  www.ncbi.nlm.nih.gov/pubmed/19330030   \n",
       "1320                  Nat Genet  www.ncbi.nlm.nih.gov/pubmed/19330030   \n",
       "1321                  Nat Genet  www.ncbi.nlm.nih.gov/pubmed/19330030   \n",
       "1322                  Nat Genet  www.ncbi.nlm.nih.gov/pubmed/19330030   \n",
       "2202              Hum Mol Genet  www.ncbi.nlm.nih.gov/pubmed/21908515   \n",
       "2203              Hum Mol Genet  www.ncbi.nlm.nih.gov/pubmed/21908515   \n",
       "2596                  Nat Genet  www.ncbi.nlm.nih.gov/pubmed/22037553   \n",
       "...                         ...                                   ...   \n",
       "63768                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63769                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63770                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63771                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63772                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63773                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63774                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63775                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63776                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63777                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63778                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63779                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63780                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63781                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63782                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63783                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63784                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63785                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63786                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63787                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63788                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63789                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "63790                 Nat Genet  www.ncbi.nlm.nih.gov/pubmed/29058716   \n",
       "64222        J Natl Cancer Inst  www.ncbi.nlm.nih.gov/pubmed/29059430   \n",
       "64223        J Natl Cancer Inst  www.ncbi.nlm.nih.gov/pubmed/29059430   \n",
       "64224        J Natl Cancer Inst  www.ncbi.nlm.nih.gov/pubmed/29059430   \n",
       "64225        J Natl Cancer Inst  www.ncbi.nlm.nih.gov/pubmed/29059430   \n",
       "64226        J Natl Cancer Inst  www.ncbi.nlm.nih.gov/pubmed/29059430   \n",
       "64227        J Natl Cancer Inst  www.ncbi.nlm.nih.gov/pubmed/29059430   \n",
       "64228        J Natl Cancer Inst  www.ncbi.nlm.nih.gov/pubmed/29059430   \n",
       "\n",
       "                                                   STUDY  \\\n",
       "17     Genome-wide association study provides evidenc...   \n",
       "126    A genome-wide association study of breast and ...   \n",
       "127    A genome-wide association study of breast and ...   \n",
       "128    A genome-wide association study of breast and ...   \n",
       "129    A genome-wide association study of breast and ...   \n",
       "130    A genome-wide association study of breast and ...   \n",
       "238    Genome-wide association study identifies novel...   \n",
       "239    Genome-wide association study identifies novel...   \n",
       "240    Genome-wide association study identifies novel...   \n",
       "241    Genome-wide association study identifies novel...   \n",
       "242    Genome-wide association study identifies novel...   \n",
       "243    A genome-wide association study identifies all...   \n",
       "244    Common variants on chromosomes 2q35 and 16q12 ...   \n",
       "245    Common variants on chromosomes 2q35 and 16q12 ...   \n",
       "420    Genome-wide association study identifies novel...   \n",
       "496    A genome-wide association study of breast and ...   \n",
       "497    A genome-wide association study of breast and ...   \n",
       "498    A genome-wide association study of breast and ...   \n",
       "499    A genome-wide association study of breast and ...   \n",
       "791    A pilot genome-wide association study of early...   \n",
       "1238   Genome-wide association study identifies a new...   \n",
       "1317   A multistage genome-wide association study in ...   \n",
       "1318   A multistage genome-wide association study in ...   \n",
       "1319   A multistage genome-wide association study in ...   \n",
       "1320   A multistage genome-wide association study in ...   \n",
       "1321   A multistage genome-wide association study in ...   \n",
       "1322   A multistage genome-wide association study in ...   \n",
       "2202   Genome-wide association study identifies breas...   \n",
       "2203   Genome-wide association study identifies breas...   \n",
       "2596   A common variant at the TERT-CLPTM1L locus is ...   \n",
       "...                                                  ...   \n",
       "63768  Identification of ten variants associated with...   \n",
       "63769  Identification of ten variants associated with...   \n",
       "63770  Identification of ten variants associated with...   \n",
       "63771  Identification of ten variants associated with...   \n",
       "63772  Identification of ten variants associated with...   \n",
       "63773  Identification of ten variants associated with...   \n",
       "63774  Identification of ten variants associated with...   \n",
       "63775  Identification of ten variants associated with...   \n",
       "63776  Identification of ten variants associated with...   \n",
       "63777  Identification of ten variants associated with...   \n",
       "63778  Identification of ten variants associated with...   \n",
       "63779  Identification of ten variants associated with...   \n",
       "63780  Identification of ten variants associated with...   \n",
       "63781  Identification of ten variants associated with...   \n",
       "63782  Identification of ten variants associated with...   \n",
       "63783  Identification of ten variants associated with...   \n",
       "63784  Identification of ten variants associated with...   \n",
       "63785  Identification of ten variants associated with...   \n",
       "63786  Identification of ten variants associated with...   \n",
       "63787  Identification of ten variants associated with...   \n",
       "63788  Identification of ten variants associated with...   \n",
       "63789  Identification of ten variants associated with...   \n",
       "63790  Identification of ten variants associated with...   \n",
       "64222  Genome-Wide Association Study to Identify Susc...   \n",
       "64223  Genome-Wide Association Study to Identify Susc...   \n",
       "64224  Genome-Wide Association Study to Identify Susc...   \n",
       "64225  Genome-Wide Association Study to Identify Susc...   \n",
       "64226  Genome-Wide Association Study to Identify Susc...   \n",
       "64227  Genome-Wide Association Study to Identify Susc...   \n",
       "64228  Genome-Wide Association Study to Identify Susc...   \n",
       "\n",
       "                                           DISEASE/TRAIT  \\\n",
       "17                                         Breast cancer   \n",
       "126                                        Breast cancer   \n",
       "127                                        Breast cancer   \n",
       "128                                        Breast cancer   \n",
       "129                                        Breast cancer   \n",
       "130                                        Breast cancer   \n",
       "238                                        Breast cancer   \n",
       "239                                        Breast cancer   \n",
       "240                                        Breast cancer   \n",
       "241                                        Breast cancer   \n",
       "242                                        Breast cancer   \n",
       "243                                        Breast cancer   \n",
       "244                                        Breast cancer   \n",
       "245                                        Breast cancer   \n",
       "420                                        Breast cancer   \n",
       "496                                        Breast cancer   \n",
       "497                                        Breast cancer   \n",
       "498                                        Breast cancer   \n",
       "499                                        Breast cancer   \n",
       "791                                        Breast cancer   \n",
       "1238                                       Breast cancer   \n",
       "1317                                       Breast cancer   \n",
       "1318                                       Breast cancer   \n",
       "1319                                       Breast cancer   \n",
       "1320                                       Breast cancer   \n",
       "1321                                       Breast cancer   \n",
       "1322                                       Breast cancer   \n",
       "2202                                       Breast cancer   \n",
       "2203                                       Breast cancer   \n",
       "2596                                       Breast cancer   \n",
       "...                                                  ...   \n",
       "63768         Breast cancer (estrogen-receptor negative)   \n",
       "63769         Breast cancer (estrogen-receptor negative)   \n",
       "63770         Breast cancer (estrogen-receptor negative)   \n",
       "63771         Breast cancer (estrogen-receptor negative)   \n",
       "63772         Breast cancer (estrogen-receptor negative)   \n",
       "63773         Breast cancer (estrogen-receptor negative)   \n",
       "63774         Breast cancer (estrogen-receptor negative)   \n",
       "63775         Breast cancer (estrogen-receptor negative)   \n",
       "63776         Breast cancer (estrogen-receptor negative)   \n",
       "63777         Breast cancer (estrogen-receptor negative)   \n",
       "63778         Breast cancer (estrogen-receptor negative)   \n",
       "63779         Breast cancer (estrogen-receptor negative)   \n",
       "63780         Breast cancer (estrogen-receptor negative)   \n",
       "63781         Breast cancer (estrogen-receptor negative)   \n",
       "63782         Breast cancer (estrogen-receptor negative)   \n",
       "63783         Breast cancer (estrogen-receptor negative)   \n",
       "63784         Breast cancer (estrogen-receptor negative)   \n",
       "63785         Breast cancer (estrogen-receptor negative)   \n",
       "63786         Breast cancer (estrogen-receptor negative)   \n",
       "63787         Breast cancer (estrogen-receptor negative)   \n",
       "63788         Breast cancer (estrogen-receptor negative)   \n",
       "63789         Breast cancer (estrogen-receptor negative)   \n",
       "63790         Breast cancer (estrogen-receptor negative)   \n",
       "64222        Breast cancer in childhood cancer survivors   \n",
       "64223        Breast cancer in childhood cancer survivors   \n",
       "64224        Breast cancer in childhood cancer survivors   \n",
       "64225        Breast cancer in childhood cancer survivors   \n",
       "64226  Breast cancer in childhood cancer survivors tr...   \n",
       "64227  Breast cancer in childhood cancer survivors tr...   \n",
       "64228  Breast cancer in childhood cancer survivors tr...   \n",
       "\n",
       "                                     INITIAL SAMPLE SIZE  \\\n",
       "17     249 Ashkenazi Jewish non-BRCA1/2 carriers case...   \n",
       "126                               58 cases, 665 controls   \n",
       "127                               58 cases, 665 controls   \n",
       "128                               58 cases, 665 controls   \n",
       "129                               58 cases, 665 controls   \n",
       "130                               58 cases, 665 controls   \n",
       "238    390 European ancestry cases, 364 European ance...   \n",
       "239    390 European ancestry cases, 364 European ance...   \n",
       "240    390 European ancestry cases, 364 European ance...   \n",
       "241    390 European ancestry cases, 364 European ance...   \n",
       "242    390 European ancestry cases, 364 European ance...   \n",
       "243    1,145 European ancestry cases, 1,142 European ...   \n",
       "244    1,599 European ancestry cases, 11,546 European...   \n",
       "245    1,599 European ancestry cases, 11,546 European...   \n",
       "420    390 European ancestry cases, 364 European ance...   \n",
       "496                               58 cases, 665 controls   \n",
       "497                               58 cases, 665 controls   \n",
       "498                               58 cases, 665 controls   \n",
       "499                               58 cases, 665 controls   \n",
       "791    26 European ancestry cases, 3 Hispanic cases, ...   \n",
       "1238   1,505 Chinese ancestry cases, 1,522 Chinese an...   \n",
       "1317   1,145 European ancestry cases, 1,142 European ...   \n",
       "1318   1,145 European ancestry cases, 1,142 European ...   \n",
       "1319   1,145 European ancestry cases, 1,142 European ...   \n",
       "1320   1,145 European ancestry cases, 1,142 European ...   \n",
       "1321   1,145 European ancestry cases, 1,142 European ...   \n",
       "1322   1,145 European ancestry cases, 1,142 European ...   \n",
       "2202   2,062 East Asian ancestry cases, 2,066 East As...   \n",
       "2203   2,062 East Asian ancestry cases, 2,066 East As...   \n",
       "2596   1,004 African American cases, 2,745 African Am...   \n",
       "...                                                  ...   \n",
       "63768  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63769  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63770  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63771  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63772  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63773  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63774  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63775  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63776  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63777  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63778  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63779  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63780  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63781  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63782  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63783  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63784  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63785  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63786  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63787  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63788  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63789  14,135 European ancestry cases, 58,126 Europea...   \n",
       "63790  14,135 European ancestry cases, 58,126 Europea...   \n",
       "64222  207 European ancestry female cases, 2,774 Euro...   \n",
       "64223  207 European ancestry female cases, 2,774 Euro...   \n",
       "64224  207 European ancestry female cases, 2,774 Euro...   \n",
       "64225  207 European ancestry female cases, 2,774 Euro...   \n",
       "64226  69 European ancestry cases, 2,144 European anc...   \n",
       "64227  69 European ancestry cases, 2,144 European anc...   \n",
       "64228  131 European ancestry cases, 493 European ance...   \n",
       "\n",
       "                                 REPLICATION SAMPLE SIZE ...   \\\n",
       "17     1,193 Ashkenazi Jewish non-BRCA1/2 carriers  c... ...    \n",
       "126                                                  NaN ...    \n",
       "127                                                  NaN ...    \n",
       "128                                                  NaN ...    \n",
       "129                                                  NaN ...    \n",
       "130                                                  NaN ...    \n",
       "238    4,364 East Asian ancestry cases, 24,174 Europe... ...    \n",
       "239    4,364 East Asian ancestry cases, 24,174 Europe... ...    \n",
       "240    4,364 East Asian ancestry cases, 24,174 Europe... ...    \n",
       "241    4,364 East Asian ancestry cases, 24,174 Europe... ...    \n",
       "242    4,364 East Asian ancestry cases, 24,174 Europe... ...    \n",
       "243    874 European ancestry cases, 1,478 European an... ...    \n",
       "244    2,954 European ancestry cases, 5,967 European ... ...    \n",
       "245    2,954 European ancestry cases, 5,967 European ... ...    \n",
       "420    4,364 East Asian ancestry cases, 24,174 Europe... ...    \n",
       "496                                                  NaN ...    \n",
       "497                                                  NaN ...    \n",
       "498                                                  NaN ...    \n",
       "499                                                  NaN ...    \n",
       "791                                                  NaN ...    \n",
       "1238   5,026 Chinese ancestry cases, 2,476 Chinese an... ...    \n",
       "1317   8,625 European ancestry cases, 9,657 European ... ...    \n",
       "1318   8,625 European ancestry cases, 9,657 European ... ...    \n",
       "1319   8,625 European ancestry cases, 9,657 European ... ...    \n",
       "1320   8,625 European ancestry cases, 9,657 European ... ...    \n",
       "1321   8,625 European ancestry cases, 9,657 European ... ...    \n",
       "1322   8,625 European ancestry cases, 9,657 European ... ...    \n",
       "2202   15,091 East Asian ancestry cases, 14,877 East ... ...    \n",
       "2203   15,091 East Asian ancestry cases, 14,877 East ... ...    \n",
       "2596   2,292 European ancestry cases, 16,901 European... ...    \n",
       "...                                                  ... ...    \n",
       "63768  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63769  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63770  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63771  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63772  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63773  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63774  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63775  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63776  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63777  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63778  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63779  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63780  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63781  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63782  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63783  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63784  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63785  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63786  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63787  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63788  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63789  7,333 European ancestry cases, 42,468 European... ...    \n",
       "63790  7,333 European ancestry cases, 42,468 European... ...    \n",
       "64222                                                NaN ...    \n",
       "64223                                                NaN ...    \n",
       "64224                                                NaN ...    \n",
       "64225                                                NaN ...    \n",
       "64226                                                NaN ...    \n",
       "64227                                                NaN ...    \n",
       "64228                                                NaN ...    \n",
       "\n",
       "                                  CONTEXT INTERGENIC RISK ALLELE FREQUENCY  \\\n",
       "17                         intron_variant        0.0                  0.21   \n",
       "126                        intron_variant        0.0                    NR   \n",
       "127                        intron_variant        0.0                    NR   \n",
       "128                    intergenic_variant        1.0                    NR   \n",
       "129                        intron_variant        1.0                    NR   \n",
       "130                        intron_variant        0.0                    NR   \n",
       "238                        intron_variant        0.0                  0.38   \n",
       "239    non_coding_transcript_exon_variant        0.0                  0.25   \n",
       "240             regulatory_region_variant        1.0                  0.28   \n",
       "241                        intron_variant        0.0                  0.40   \n",
       "242                        intron_variant        0.0                  0.30   \n",
       "243                        intron_variant        0.0                  0.40   \n",
       "244                    intergenic_variant        0.0                  0.50   \n",
       "245    non_coding_transcript_exon_variant        0.0                  0.27   \n",
       "420                        intron_variant        0.0                  0.53   \n",
       "496                    intergenic_variant        0.0                    NR   \n",
       "497                        intron_variant        0.0                    NR   \n",
       "498                        intron_variant        0.0                    NR   \n",
       "499                        intron_variant        0.0                    NR   \n",
       "791               downstream_gene_variant        1.0                  0.34   \n",
       "1238                   intergenic_variant        1.0                  0.37   \n",
       "1317                       intron_variant        0.0                  0.41   \n",
       "1318   non_coding_transcript_exon_variant        0.0                  0.27   \n",
       "1319                   intergenic_variant        1.0                  0.15   \n",
       "1320                   intergenic_variant        0.0                  0.51   \n",
       "1321                       intron_variant        0.0                  0.39   \n",
       "1322                       intron_variant        0.0                  0.76   \n",
       "2202                       intron_variant        0.0                  0.45   \n",
       "2203                       intron_variant        0.0                  0.47   \n",
       "2596                       intron_variant        0.0                  0.26   \n",
       "...                                   ...        ...                   ...   \n",
       "63768                      intron_variant        0.0                  0.46   \n",
       "63769                  intergenic_variant        1.0                  0.07   \n",
       "63770                      intron_variant        0.0                  0.77   \n",
       "63771                      intron_variant        1.0                  0.52   \n",
       "63772                  intergenic_variant        1.0                  0.76   \n",
       "63773                      intron_variant        0.0                  0.59   \n",
       "63774                      intron_variant        0.0     0.659999999999999   \n",
       "63775                      intron_variant        1.0                  0.37   \n",
       "63776                      intron_variant        0.0                   0.3   \n",
       "63777                 3_prime_UTR_variant        0.0                  0.26   \n",
       "63778                 3_prime_UTR_variant        0.0                  0.32   \n",
       "63779               upstream_gene_variant        1.0                  0.32   \n",
       "63780                      intron_variant        0.0                  0.26   \n",
       "63781                      intron_variant        0.0                  0.75   \n",
       "63782                      intron_variant        0.0                  0.77   \n",
       "63783                 3_prime_UTR_variant        0.0                  0.58   \n",
       "63784                  intergenic_variant        1.0                   0.7   \n",
       "63785                  intergenic_variant        1.0                  0.32   \n",
       "63786                  intergenic_variant        0.0                  0.34   \n",
       "63787                      intron_variant        0.0                  0.23   \n",
       "63788                    missense_variant        0.0                  0.98   \n",
       "63789                      intron_variant        0.0                  0.95   \n",
       "63790                  intergenic_variant        0.0                   0.5   \n",
       "64222                  intergenic_variant        1.0                2.0E-4   \n",
       "64223                      intron_variant        0.0                  0.03   \n",
       "64224                      intron_variant        0.0                  0.49   \n",
       "64225                  intergenic_variant        1.0                 0.001   \n",
       "64226                  intergenic_variant        1.0                  0.06   \n",
       "64227                  intergenic_variant        1.0                  0.16   \n",
       "64228                      intron_variant        0.0                  0.02   \n",
       "\n",
       "      P-VALUE PVALUE_MLOG  P-VALUE (TEXT)  OR or BETA  \\\n",
       "17      3e-08    7.522879             NaN    1.410000   \n",
       "126     8e-08    7.096910             NaN         NaN   \n",
       "127     5e-07    6.301030             NaN         NaN   \n",
       "128     7e-07    6.154902             NaN         NaN   \n",
       "129     1e-06    6.000000             NaN         NaN   \n",
       "130     2e-06    5.698970             NaN         NaN   \n",
       "238     2e-76   75.698970             NaN    1.260000   \n",
       "239     1e-36   36.000000             NaN    1.200000   \n",
       "240     7e-20   19.154902             NaN    1.130000   \n",
       "241     5e-12   11.301030             NaN    1.080000   \n",
       "242     3e-09    8.522879             NaN    1.070000   \n",
       "243     1e-10   10.000000             NaN    1.200000   \n",
       "244     1e-13   13.000000             NaN    1.200000   \n",
       "245     6e-19   18.221849             NaN    1.280000   \n",
       "420     9e-06    5.045757             NaN    1.040000   \n",
       "496     3e-06    5.522879             NaN         NaN   \n",
       "497     5e-06    5.301030             NaN         NaN   \n",
       "498     6e-06    5.221849             NaN         NaN   \n",
       "499     6e-06    5.221849             NaN         NaN   \n",
       "791     4e-07    6.397940             NaN         NaN   \n",
       "1238    2e-15   14.698970             NaN    1.290000   \n",
       "1317    2e-10    9.698970             NaN    1.170000   \n",
       "1318    1e-09    9.000000             NaN    1.160000   \n",
       "1319    5e-07    6.301030             NaN    1.230000   \n",
       "1320    2e-08    7.698970             NaN    1.250000   \n",
       "1321    7e-10    9.154902             NaN    1.160000   \n",
       "1322    2e-07    6.698970             NaN    1.060000   \n",
       "2202    6e-06    5.221849             NaN    1.110000   \n",
       "2203    6e-09    8.221849             NaN    1.120000   \n",
       "2596    1e-10   10.000000             NaN    1.180000   \n",
       "...       ...         ...             ...         ...   \n",
       "63768   8e-10    9.096910             NaN    1.080000   \n",
       "63769   3e-40   39.522879             NaN    1.320000   \n",
       "63770   3e-08    7.522879             NaN    1.086957   \n",
       "63771   2e-18   17.698970             NaN    1.098901   \n",
       "63772   9e-10    9.045757             NaN    1.086957   \n",
       "63773   3e-12   11.522879             NaN    1.086957   \n",
       "63774   2e-09    8.698970             NaN    1.086957   \n",
       "63775   7e-08    7.154902             NaN    1.060000   \n",
       "63776   1e-10   10.000000             NaN    1.090000   \n",
       "63777   3e-23   22.522879             NaN    1.140000   \n",
       "63778   3e-31   30.522879             NaN    1.150000   \n",
       "63779   3e-37   36.522879             NaN    1.170000   \n",
       "63780   2e-35   34.698970             NaN    1.180000   \n",
       "63781   2e-08    7.698970             NaN    1.086957   \n",
       "63782   4e-08    7.397940             NaN    1.075269   \n",
       "63783   4e-08    7.397940             NaN    1.063830   \n",
       "63784   3e-07    6.522879             NaN    1.063830   \n",
       "63785   2e-07    6.698970             NaN    1.070000   \n",
       "63786   2e-08    7.698970             NaN    1.070000   \n",
       "63787   6e-09    8.221849             NaN    1.090000   \n",
       "63788   2e-06    5.698970             NaN    1.219512   \n",
       "63789   5e-06    5.301030             NaN    1.190476   \n",
       "63790   3e-06    5.522879             NaN    1.063830   \n",
       "64222   6e-07    6.221849             NaN         NaN   \n",
       "64223   4e-07    6.397940             NaN    2.230000   \n",
       "64224   3e-07    6.522879             NaN    1.590000   \n",
       "64225   2e-07    6.698970             NaN    3.850000   \n",
       "64226   2e-07    6.698970             NaN    3.120000   \n",
       "64227   6e-07    6.221849             NaN    2.120000   \n",
       "64228   2e-07    6.698970             NaN    2.550000   \n",
       "\n",
       "                 95% CI (TEXT)                 PLATFORM [SNPS PASSING QC]  CNV  \n",
       "17                 [1.25-1.59]                        Affymetrix [150080]    N  \n",
       "126                        NaN                         Affymetrix [70897]    N  \n",
       "127                        NaN                         Affymetrix [70897]    N  \n",
       "128                        NaN                         Affymetrix [70897]    N  \n",
       "129                        NaN                         Affymetrix [70897]    N  \n",
       "130                        NaN                         Affymetrix [70897]    N  \n",
       "238                [1.23-1.30]                          Perlegen [205586]    N  \n",
       "239                [1.16-1.24]                          Perlegen [205586]    N  \n",
       "240                [1.10-1.16]                          Perlegen [205586]    N  \n",
       "241                [1.05-1.11]                          Perlegen [205586]    N  \n",
       "242                [1.04-1.11]                          Perlegen [205586]    N  \n",
       "243                [1.07-1.42]                          Illumina [528173]    N  \n",
       "244                [1.14-1.26]                          Illumina [311524]    N  \n",
       "245                [1.21-1.35]                          Illumina [311524]    N  \n",
       "420                [1.01-1.08]                          Perlegen [205586]    N  \n",
       "496                        NaN                         Affymetrix [70897]    N  \n",
       "497                        NaN                         Affymetrix [70897]    N  \n",
       "498                        NaN                         Affymetrix [70897]    N  \n",
       "499                        NaN                         Affymetrix [70897]    N  \n",
       "791                        NaN                        Affymetrix [200220]    N  \n",
       "1238               [1.21-1.37]                  Affymetrix [up to 607728]    N  \n",
       "1317         [1.07-1.27] (Het)                          Illumina [528173]    N  \n",
       "1318         [1.07-1.27] (Het)                          Illumina [528173]    N  \n",
       "1319         [1.12-1.35] (Het)                          Illumina [528173]    N  \n",
       "1320         [1.15-1.37] (Het)                          Illumina [528173]    N  \n",
       "1321         [1.09-1.24] (Het)                          Illumina [528173]    N  \n",
       "1322         [1.01-1.14] (Het)                          Illumina [528173]    N  \n",
       "2202               [1.05-1.17]                        Affymetrix [684457]    N  \n",
       "2203               [1.06-1.18]                        Affymetrix [684457]    N  \n",
       "2596               [1.13-1.25]               Illumina [3154485] (imputed)    N  \n",
       "...                        ...                                        ...  ...  \n",
       "63768  [1.04-1.11] (Oncoarray)            Illumina [~ 11500000] (imputed)    N  \n",
       "63769  [1.25-1.40] (Oncoarray)            Illumina [~ 11500000] (imputed)    N  \n",
       "63770  [1.04-1.12] (Oncoarray)            Illumina [~ 11500000] (imputed)    N  \n",
       "63771              [1.08-1.12]            Illumina [~ 11500000] (imputed)    N  \n",
       "63772              [1.05-1.11]            Illumina [~ 11500000] (imputed)    N  \n",
       "63773              [1.06-1.11]            Illumina [~ 11500000] (imputed)    N  \n",
       "63774              [1.05-1.11]            Illumina [~ 11500000] (imputed)    N  \n",
       "63775              [1.04-1.09]            Illumina [~ 11500000] (imputed)    N  \n",
       "63776              [1.06-1.12]            Illumina [~ 11500000] (imputed)    N  \n",
       "63777              [1.11-1.16]            Illumina [~ 11500000] (imputed)    N  \n",
       "63778              [1.12-1.18]            Illumina [~ 11500000] (imputed)    N  \n",
       "63779              [1.14-1.19]            Illumina [~ 11500000] (imputed)    N  \n",
       "63780              [1.15-1.21]            Illumina [~ 11500000] (imputed)    N  \n",
       "63781              [1.05-1.11]            Illumina [~ 11500000] (imputed)    N  \n",
       "63782              [1.05-1.11]            Illumina [~ 11500000] (imputed)    N  \n",
       "63783              [1.04-1.09]            Illumina [~ 11500000] (imputed)    N  \n",
       "63784               [1.04-1.1]            Illumina [~ 11500000] (imputed)    N  \n",
       "63785              [1.04-1.09]            Illumina [~ 11500000] (imputed)    N  \n",
       "63786              [1.04-1.09]            Illumina [~ 11500000] (imputed)    N  \n",
       "63787              [1.06-1.12]            Illumina [~ 11500000] (imputed)    N  \n",
       "63788              [1.12-1.33]            Illumina [~ 11500000] (imputed)    N  \n",
       "63789    [1.1-1.3] (Oncoarray)            Illumina [~ 11500000] (imputed)    N  \n",
       "63790  [1.02-1.09] (Oncoarray)            Illumina [~ 11500000] (imputed)    N  \n",
       "64222                      NaN  Affymetrix, Illumina [16958466] (imputed)    N  \n",
       "64223              [1.52-3.26]  Affymetrix, Illumina [16958466] (imputed)    N  \n",
       "64224              [1.30-1.92]  Affymetrix, Illumina [16958466] (imputed)    N  \n",
       "64225               [1.67-8.9]  Affymetrix, Illumina [16958466] (imputed)    N  \n",
       "64226              [1.96-4.96]  Affymetrix, Illumina [16958466] (imputed)    N  \n",
       "64227              [1.50-3.01]  Affymetrix, Illumina [16958466] (imputed)    N  \n",
       "64228              [1.61-4.02]  Affymetrix, Illumina [16958466] (imputed)    N  \n",
       "\n",
       "[1446 rows x 34 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas[gwas[\"DISEASE/TRAIT\"].str.contains(\"Breast\", case=False)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Τύπωσε για όλα τα διαφορετικά γονίδια, πόσες γραμμές υπάρχουν"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LOC105377462                   384\n",
       "IREB2                          163\n",
       "FTO                            161\n",
       "TGFB2 - LOC105372924           150\n",
       "GCKR                           147\n",
       "FAM13A                         124\n",
       "EEFSEC                         123\n",
       "CHRNA3                         116\n",
       "HLA-DRB1 - LOC107986589        103\n",
       "FADS1                           91\n",
       "TCF7L2                          86\n",
       "LOC107986647 - LOC105378010     85\n",
       "TERT                            85\n",
       "LOC105373352 - TMEM18           80\n",
       "CHRNA5                          79\n",
       "CDKN2B-AS1                      79\n",
       "RUVBL1                          79\n",
       "HYKK                            77\n",
       "HLA-DQB1 - MTCO3P1              77\n",
       "TRIB1 - LOC105375746            77\n",
       "ABO - LCN1P2                    75\n",
       "CSMD1                           73\n",
       "LOC101928778 - SEC16B           70\n",
       "HERPUD1 - CETP                  70\n",
       "TMPRSS6                         68\n",
       "ZPR1                            68\n",
       "LOC105378797                    68\n",
       "JAZF1                           67\n",
       "VEGFA - LOC105375070            67\n",
       "HLA-DRB9 - HLA-DRB5             66\n",
       "                              ... \n",
       "HIST2H3DP1 - RPL22P6             1\n",
       "CUTC, COX15                      1\n",
       "LOC107984948 - KLF17             1\n",
       "ITPKB-IT1, ITPKB                 1\n",
       "LOC105370174 - VWA8              1\n",
       "CACNA1C, LOC107984540            1\n",
       "RN7SKP279 - LOC107984373         1\n",
       "AGO4                             1\n",
       "C14orf159                        1\n",
       "DNAL4                            1\n",
       "MRPS27                           1\n",
       "SCRN3                            1\n",
       "ACD                              1\n",
       "STRADA                           1\n",
       "CAPZA2 - LOC105375465            1\n",
       "OR52Q1P - LOC107984304           1\n",
       "HKDC1, LOC101928994              1\n",
       "LCE1F - LCE1E                    1\n",
       "SUDS3                            1\n",
       "LARS2, LARS2-AS1                 1\n",
       "BAG3                             1\n",
       "ZFP82                            1\n",
       "NSMCE2                           1\n",
       "LOC105376311                     1\n",
       "MGST3 - ALDH9A1                  1\n",
       "SLC1A1, SPATA6L                  1\n",
       "MIR7515HG - LINC00487            1\n",
       "LOC105373324                     1\n",
       "APOOP3 - LEMD3                   1\n",
       "PSMA3                            1\n",
       "Name: MAPPED_GENE, Length: 19192, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas[\"MAPPED_GENE\"].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Κάνε ένα bar plot για τα πρώτα 10 από αυτά:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x114e77128>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "gwas[\"MAPPED_GENE\"].value_counts()[:10].plot(kind=\"bar\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAF9CAYAAAAKpaMoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzt3Xu8XFV9/vHPQ4AAAgoSUiRBLkIVFEEjatGfCFUQLyAW\nDLSWtmhoi9ZrLWhVtNJiFbBasA2ooBUx5S54QwQtVYkBIpIAEm5CyiWAVNSKEp7fH2ufZDKcW3LO\n7H1mz/N+vc7r7Fl7Jvub5JzvrFn7u9aSbSIior3WazqAiIjorST6iIiWS6KPiGi5JPqIiJZLoo+I\naLkk+oiIlkuij4houXEneknTJF0n6ZLq8ZaSLpN0S/V9i47nHidpmaSbJe3fi8AjImJ81qZH/3bg\nxo7HxwKX294ZuLx6jKRdgbnAbsABwGmSpk1OuBERsbbGleglzQJeDZzR0XwQcFZ1fBZwcEf7ObYf\ntX07sAzYa3LCjYiItbX+OJ/3SeC9wGYdbTNt31Md3wvMrI63BX7Y8by7q7YRbbXVVt5+++3HGUpE\nRABcc801D9ieMdbzxkz0kl4D3G/7Gkn7DPcc25a0VovmSJoHzAPYbrvtWLRo0dq8PCJi4Em6czzP\nG8/Qzd7A6yTdAZwD7CvpP4D7JG1TXWwb4P7q+cuB2R2vn1W1rcH2fNtzbM+ZMWPMN6SIiFhHYyZ6\n28fZnmV7e8pN1u/Y/hPgYuDI6mlHAhdVxxcDcyVNl7QDsDOwcNIjj4iIcRnvGP1wTgQWSDoKuBM4\nDMD2EkkLgKXAY8AxtldOONKIiFgnmgrr0c+ZM8cZo4+IWDuSrrE9Z6znZWZsRETLJdFHRLRcEn1E\nRMsl0UdEtNxEqm5qtf2xl07o9Xec+OpJiiQior+kRx8R0XJJ9BERLZdEHxHRckn0EREtl0QfEdFy\nSfQRES2XRB8R0XJJ9BERLZdEHxHRckn0EREtl0QfEdFySfQRES2XRB8R0XJjJnpJG0laKOnHkpZI\n+nDVfryk5ZIWV18HdrzmOEnLJN0saf9e/gUiImJ041mm+FFgX9u/lLQBcJWkr1fnTrH9ic4nS9oV\nmAvsBjwN+LakXbJBeEREM8bs0bv4ZfVwg+prtB3FDwLOsf2o7duBZcBeE440IiLWybjG6CVNk7QY\nuB+4zPbV1am3Sbpe0uckbVG1bQvc1fHyu6u2iIhowLgSve2VtvcAZgF7SXo28BlgR2AP4B7gpLW5\nsKR5khZJWrRixYq1DDsiIsZrrapubD8MXAEcYPu+6g3gceB0Vg/PLAdmd7xsVtXW/WfNtz3H9pwZ\nM2asW/QRETGm8VTdzJD0lOp4Y+AVwE2Stul42uuBG6rji4G5kqZL2gHYGVg4uWFHRMR4jafqZhvg\nLEnTKG8MC2xfIumLkvag3Ji9AzgawPYSSQuApcBjwDGpuImIaM6Yid729cCew7S/aZTXnACcMLHQ\nIiJiMmRmbEREyyXRR0S0XBJ9RETLJdFHRLRcEn1ERMsl0UdEtFwSfUREyyXRR0S0XBJ9RETLJdFH\nRLRcEn1ERMsl0UdEtFwSfUREyyXRR0S0XBJ9RETLJdFHRLRcEn1ERMsl0UdEtNx4NgffSNJCST+W\ntETSh6v2LSVdJumW6vsWHa85TtIySTdL2r+Xf4GIiBjdeHr0jwL72n4usAdwgKQXAccCl9veGbi8\neoykXYG5wG7AAcBp1cbiERHRgDETvYtfVg83qL4MHAScVbWfBRxcHR8EnGP7Udu3A8uAvSY16oiI\nGLdxjdFLmiZpMXA/cJntq4GZtu+pnnIvMLM63ha4q+Pld1dtERHRgHEletsrbe8BzAL2kvTsrvOm\n9PLHTdI8SYskLVqxYsXavDQiItbCWlXd2H4YuIIy9n6fpG0Aqu/3V09bDszueNmsqq37z5pve47t\nOTNmzFiX2CMiYhzGU3UzQ9JTquONgVcANwEXA0dWTzsSuKg6vhiYK2m6pB2AnYGFkx14RESMz/rj\neM42wFlV5cx6wALbl0j6AbBA0lHAncBhALaXSFoALAUeA46xvbI34UdExFjGTPS2rwf2HKb9QWC/\nEV5zAnDChKOLiIgJy8zYiIiWS6KPiGi5JPqIiJZLoo+IaLkk+oiIlkuij4houST6iIiWS6KPiGi5\nJPqIiJZLoo+IaLkk+oiIlkuij4houST6iIiWS6KPiGi5JPqIiJZLoo+IaLkk+oiIlkuij4houfFs\nDj5b0hWSlkpaIuntVfvxkpZLWlx9HdjxmuMkLZN0s6T9e/kXiIiI0Y1nc/DHgHfbvlbSZsA1ki6r\nzp1i+xOdT5a0KzAX2A14GvBtSbtkg/CIiGaM2aO3fY/ta6vjR4AbgW1HeclBwDm2H7V9O7AM2Gsy\ngo2IiLW3VmP0krYH9gSurpreJul6SZ+TtEXVti1wV8fL7mb0N4aIiOihcSd6SZsC5wHvsP0L4DPA\njsAewD3ASWtzYUnzJC2StGjFihVr89KIiFgL40r0kjagJPkv2T4fwPZ9tlfafhw4ndXDM8uB2R0v\nn1W1rcH2fNtzbM+ZMWPGRP4OERExivFU3Qj4LHCj7ZM72rfpeNrrgRuq44uBuZKmS9oB2BlYOHkh\nR0TE2hhP1c3ewJuAn0haXLW9Dzhc0h6AgTuAowFsL5G0AFhKqdg5JhU3ERHNGTPR274K0DCnvjbK\na04ATphAXBERMUkyMzYiouWS6CMiWi6JPiKi5ZLoIyJaLok+IqLlkugjIlouiT4iouWS6CMiWi6J\nPiKi5ZLoIyJaLok+IqLlkugjIlouiT4iouWS6CMiWi6JPiKi5ZLoIyJaLok+IqLlkugjIlpuPJuD\nz5Z0haSlkpZIenvVvqWkyyTdUn3fouM1x0laJulmSfv38i8QERGjG0+P/jHg3bZ3BV4EHCNpV+BY\n4HLbOwOXV4+pzs0FdgMOAE6TNK0XwUdExNjGTPS277F9bXX8CHAjsC1wEHBW9bSzgIOr44OAc2w/\navt2YBmw12QHHhER47NWY/SStgf2BK4GZtq+pzp1LzCzOt4WuKvjZXdXbRER0YBxJ3pJmwLnAe+w\n/YvOc7YNeG0uLGmepEWSFq1YsWJtXhoREWthXIle0gaUJP8l2+dXzfdJ2qY6vw1wf9W+HJjd8fJZ\nVdsabM+3Pcf2nBkzZqxr/BERMYbxVN0I+Cxwo+2TO05dDBxZHR8JXNTRPlfSdEk7ADsDCycv5IiI\nWBvrj+M5ewNvAn4iaXHV9j7gRGCBpKOAO4HDAGwvkbQAWEqp2DnG9spJjzwiIsZlzERv+ypAI5ze\nb4TXnACcMIG4IiJikmRmbEREyyXRR0S0XBJ9RETLJdFHRLRcEn1ERMsl0UdEtFwSfUREyyXRR0S0\nXBJ9RETLJdFHRLRcEn1ERMsl0UdEtFwSfUREyyXRR0S0XBJ9RETLjWfjkahsf+ylE/4z7jjx1ZMQ\nSUTE+CXR96GJvuHkzSZisGToJiKi5cazOfjnJN0v6YaOtuMlLZe0uPo6sOPccZKWSbpZ0v69Cjwi\nIsZnPD36M4EDhmk/xfYe1dfXACTtCswFdqtec5qkaZMVbERErL0xE73t7wEPjfPPOwg4x/ajtm8H\nlgF7TSC+iIiYoImM0b9N0vXV0M4WVdu2wF0dz7m7aouIiIasa9XNZ4B/AFx9Pwn4i7X5AyTNA+YB\nbLfddusYRjQlpaYR/WOdevS277O90vbjwOmsHp5ZDszueOqsqm24P2O+7Tm258yYMWNdwoiIiHFY\npx69pG1s31M9fD0wVJFzMXC2pJOBpwE7AwsnHGXECDKnIGJsYyZ6SV8G9gG2knQ38CFgH0l7UIZu\n7gCOBrC9RNICYCnwGHCM7ZW9CT0iIsZjzERv+/Bhmj87yvNPAE6YSFARETF5MjM2IqLlkugjIlou\niT4iouWS6CMiWi6JPiKi5ZLoIyJaLok+IqLlkugjIlouiT4iouWyZ2zEBGUlz5jqkugjWiILvMVI\nMnQTEdFySfQRES2XoZuImDS5XzE1pUcfEdFySfQRES2XRB8R0XJJ9BERLTdmopf0OUn3S7qho21L\nSZdJuqX6vkXHueMkLZN0s6T9exV4RESMz3h69GcCB3S1HQtcbntn4PLqMZJ2BeYCu1WvOU3StEmL\nNiIi1tqYid7294CHupoPAs6qjs8CDu5oP8f2o7ZvB5YBe01SrBERsQ7WtY5+pu17quN7gZnV8bbA\nDzued3fVFhFRmywHsaYJ34y1bcBr+zpJ8yQtkrRoxYoVEw0jIiJGsK6J/j5J2wBU3++v2pcDszue\nN6tqewLb823PsT1nxowZ6xhGRESMZV0T/cXAkdXxkcBFHe1zJU2XtAOwM7BwYiFGRMREjDlGL+nL\nwD7AVpLuBj4EnAgskHQUcCdwGIDtJZIWAEuBx4BjbK/sUewRETEOYyZ624ePcGq/EZ5/AnDCRIKK\niIjJk9UrIyJ6YCqt5JklECIiWi6JPiKi5ZLoIyJaLok+IqLlkugjIlouiT4iouWS6CMiWi6JPiKi\n5ZLoIyJaLok+IqLlkugjIlouiT4iouWS6CMiWi6JPiKi5ZLoIyJaLok+IqLlkugjIlpuQjtMSboD\neARYCTxme46kLYGvANsDdwCH2f75xMKMiIh1NRk9+pfb3sP2nOrxscDltncGLq8eR0REQ3oxdHMQ\ncFZ1fBZwcA+uERER4zTRRG/g25KukTSvaptp+57q+F5g5gSvEREREzChMXrgJbaXS9oauEzSTZ0n\nbVuSh3th9cYwD2C77babYBgRETGSCfXobS+vvt8PXADsBdwnaRuA6vv9I7x2vu05tufMmDFjImFE\nRMQo1jnRS3qSpM2GjoFXAjcAFwNHVk87ErhookFGRMS6m8jQzUzgAklDf87Ztr8h6UfAAklHAXcC\nh008zIiIWFfrnOht3wY8d5j2B4H9JhJURERMnsyMjYhouST6iIiWS6KPiGi5JPqIiJZLoo+IaLkk\n+oiIlkuij4houST6iIiWS6KPiGi5JPqIiJZLoo+IaLkk+oiIlkuij4houST6iIiWS6KPiGi5JPqI\niJZLoo+IaLkk+oiIlutZopd0gKSbJS2TdGyvrhMREaPrSaKXNA04FXgVsCtwuKRde3GtiIgYXa96\n9HsBy2zfZvu3wDnAQT26VkREjKJXiX5b4K6Ox3dXbRERUTPZnvw/VPoj4ADbb64evwl4oe23djxn\nHjCvevj7wM0TvOxWwAMT/DMmw1SIYyrEAFMjjsSw2lSIYyrEAFMjjsmI4em2Z4z1pPUneJGRLAdm\ndzyeVbWtYns+MH+yLihpke05k/Xn9XMcUyGGqRJHYphacUyFGKZKHHXG0Kuhmx8BO0vaQdKGwFzg\n4h5dKyIiRtGTHr3txyS9FfgmMA34nO0lvbhWRESMrldDN9j+GvC1Xv35w5i0YaAJmgpxTIUYYGrE\nkRhWmwpxTIUYYGrEUVsMPbkZGxERU0eWQIiIaLkk+oiIlkuij0kn6a+bjiEiVuvZzdhBIWlzYIbt\nW7vad7d9fUNh1UbSu7qbgOMkbQRg++T6o+oIRnoKcIztExqO4yXA4baPqel6GwGb2V7R1T4DeMT2\nb+qIY5i4trT9UI3X2xR4L/AGynye3wK3Av9m+8y64hiNpE1t/7KX1+jbHr2k/SUdJWn7rva/qDGG\nw4CbgPMkLZH0go7TZ9YYx6skfU/SA9XXdyUdWNPlPwy8ENgU2Kz6Pq063qymGJA0W9J8SZdIerOk\nJ0k6CfgpsHVdcXTFtKekj0u6A/gHys9KXT4FvHSY9pcAp9QRgKS9Jd1Y/W68UNJlwI8k3SXpxXXE\nAHwJuA3Yn/Kz+ingTcDLJf1jTTGMZWmvL9CXVTfVf9BLgGuB1wKftP3p6ty1tp9XUxyLgVfZvkfS\nXsAXgONsXyDpOtt71hDDW4CjKb2WRVXzHOBE4IxqBnIvr78dcBLll+nDtn8t6TbbO/byusPEcQXw\nXeAHwAHV12LgnbbvrTGOXYDDq68HgK8A77H99LpiqOK4xvbzRzi3xPZuNcSwEDiK8ub/VeBg21dJ\neh7wadt71xDDj20/t+Pxj2y/QNJ6wFLbz+x1DNV1uz/5rjoFvN/2lr28fr8O3bwW2LOamHU8cLak\nHW2/k/IPV5dptu8BsL1Q0suBSyTNBup6B30n8JKuj8PfkfQq4Cp6XKtr+2fAoZIOAi6TVEtvcRhb\n2j6+Ov6mpEOBP7b9eM1x3AT8F/Aa28sAJL2z5hgANhnlXF2f5Dew/RMASStsXwVg+1pJG9cUw68k\nvaR6g3kd8FAVw+OS6swV/wh8HHhsmHM9///o10S/vu3HAGw/LOm1wHxJ/wlsWGMcj0jaaWh8vurZ\n7wNcCPS8x1TRcGOeth+s8+fY9kWSvg0cT1mttHaStmD1G/2DwJOHfplrHBc+hLLkxxWSvkFZorvO\nhDLkfkl72V7Y2VgNL64Y4TWTrTOBHdd1rq7f078Ezqg+ad1A+YQxdK/i1JpigDL6cKHta7pPSHpz\nry/er0M3lwAft/3drvaPAu+zXUuPRdJzgV/bvqWrfQPgMNtfqiGGq4F5tn88TGyn296r1zFMBdU4\n+OMMn1TdwFDSkyh7MBwO7EsZ1rvA9rdquv5ewALKvaKh5DIH+FNgru2ra4jhdcC3bf+6q30n4A22\n/7nXMUwVkn4feND2E1arlDTT9n09vX6fJvqNAWz/3zDntrW9/ImvqoekrSj/obX8w1bVHF8CPs+a\nv9BHAn8y9HG5h9ffnNJbmwV83fbZHedOs914qWXdlR7DXH8L4FDgjbb3q/G6WwPHAM+umpYA/2r7\n/rpiGE5VEfRa2/9Zw7WGFlVcbvtySUcAfwDcCMy3/btexzBKbFsAD9eRK/o10W8I/G7oH6gaG38e\n5ebK12uM40WUm54PUaoqvkhZY3o94E9tf6OmOGZSfqGHhouWAqfWcRNS0nnALcAPgb8AfgccYfvR\nmm+MnzG0/0FX+yzgG7afPczLatHEG42kzW3/YoRz21X3VuqMZxql8uVw4JXAf9n+oxqu+yXKEPUm\nwMOUG8PnA/tR8t+RvY6hiuODwALbN0maDnwDeC5lzP4I29/uaQC2++4L+DGwRXX8t8D3gb8HLgP+\nqcY4FlF+aA8Ffg68qGp/JnBdTTGc2fD/xeKux+8H/ht4KnBtjXGcBfwHsF5H266UaqA/qzGOvSm9\nxSWUstPLKHXbdwEvrjGOazuOLx/pXA1xvAz49+rvfx5wL7BJjde/vvq+PnAfpYACyhDf9TXGsYTV\nHet5wBWUMuRnAQt7ff1+raOfZvvn1fEbgf1sf5SyGfmra4xjfdvfcvkIeq/tHwLYrrNeevcarzWc\n6VWpGgAuE5NOB75HSfZ1+TPg18BXJE2T9AeUZbL/xvVOjDkFOAx4M3AppeR0J8p4/SdqjKPzXkV3\n6V4tN4cl3Q38E6X6a1fbbwD+z11j9j22XjUCsBmlV//kqn06sEGNcfzWVZanfLI5x/ZK2zdSQ1FM\nv1bd/ELSs23fQKlV3gj4P8rfp843r87Sve77BXWNiW0iaU9G+OW1fW2Pr/9Vys3GVR89bZ8p6V7g\n0z2+9irVL9E8SZ8CrgSeDhw69OZbo6lQUghr/vx1/yzW9bN5LnAwpTO2UtJFNV57yGcpJa/TKJ82\n/1PSbcCLKBVRdXlU0rMpnypeDryn49xopbCTol/H6HenjIcPVZrsTelBPgc42R03BHscx0rgV5Qk\nuzGlR0n1eCPbPe8xSHqEsqPXSNUm+/Y6hqlA0qcpSUTAEZRythuHztv+m5riWDVBR9LBti/sOHeD\na7pXUPWmT6b8e7yzOqZ6/A7bs0d67STHIWAfytj8gZQe9VHA19zjaf8dMTwNwPb/qCyJ8YfAz9xV\netrjGF5IGV6cQZng+Q9V+4HAm2wf3tPr92Oih1U3d14J7ELpyd8NfNP2w40GVrO6ZuCOEcOOlPrx\n2cBKyrIDZ3uEm4E9imHUm2q2z6opjilRUijpQ6Odt/3hOuLoVJUdH0Cpgtnf9lZ1x1DF0WgVVhP6\nNtF3k7S1ay4bk7Sv7e9UxzvYvr3j3CG2z68hhkYTvaS3A6+hLD9wIHAdpbrh9cBf276ypjim5CJe\nMTxJG3uY8ugeXOfvq/t3SNqVMplxA8onmze6hvkEHbH8PuVG7NCyC0Mlnj/t+bX7MdFLGm5diGuB\nPRlhpmiP4lhVPthdSlhXaaGkee7xejZjXP8nwB62V0rahPKRfB+VNXAuqutNSNJ8Shnl+V3trwde\nafuv6ohjNJLm255X07XeAlxp+5Zq+OSzlBUc7wSOtH1dDTFcwchj8nYNcwq6fkcvpcwj+Ho1oeyT\ntv+g1zFU134xpaxzPiVXiZKv3gIc0ut7Sf16M/YByg9sp20p/4AG6poFqRGOh3vcK39JtZ6NpPOq\nyoa6rU8ZsplOqVPG9s+qj+p1ef5wSdRlgbmP1hXECJ0QKD8Pda0oCvB2Vq+gejilZntHSnIZaWXL\nyfaeYdpeRFmAr4lJW9u6mmfjsjZVnTfHP0hZpvrKjrYLJX0H+BClYrBn+jXR/y3wCuBvOyocbre9\nQ81xTIXKhs43lFqn+VfOoCw9ezUleXwMVg2Z1DkOOhUW8YKyjsydrPn/MnSTuM7lkh/z6lmfrwG+\nYPtB4NuSarlP4I51XSS9DPgApULuL13fxMYdJV1M+fefJWmTjvsndXZEdhpuGNP2d6tPoz3Vl4ne\n9kmSvgKcIukuyjtiE2NQnT9EQ8dUj+t60xntzab3F7f/RWUxs2cBJw3NIajGyv9fjaFMhUW8oEzQ\n2s/DzDytflbr8rikbSgT+fYDOjdeqa0nK2l/ymTGR4ETbF9R17UrB3U9Xq+KaybwmRrjeGSUc7/q\n9cX7coy+U1Xl8D5ge9u/V/O1XzbaeXctutajGEYr8bTtzXsdw1SgkRfxOpIab7pJOga4yl2LzFXn\n3uZq34Qa4ngNZUbqNOCrtt9Stb8MeK/tnk8slPQjSjnhxyn7BKyhhjkeU4ak+xm+bl+UBRBn9vT6\n/Z7oYdUiZztVE6imBEl72/7vpuPotWpOw3zKPZKvA383NGtZ0kLXuHpm1yJeZvUiXnX26KcMSetT\nKpF+3tH2JMrvfc9r2CVdyepPmUPDV0NqmeMh6a2UWagPSHoG8DnKbPKbgaPqyhlNl//2ZaKX9DeU\nJV/r/Cg8XBzTKNPdt6VUfNxQ9aTeB2zcdH17HSRdBXyUsqjZm4E/B15n+9Y6Sz9VNj6ZZfvU6vFC\nSm/SlB7suTXFccho5+soua3i+Efb76uOX2H7sjquO9WoYzetqurmjOoG/T6UoaSe73I1Rny1rOTZ\nr4n+fynDFbcCXwb+s4lem6QzKZOEFlIWsPofynDBsZ0zIttMT9yq7eWUHv6bgNPqKDGtrvvflHXW\n76oeL6YszbAp8Pk6Svmq6z5O2cJw8VBTx2nbrmVP49FKf5sm6RWUN99X1HCtm23/fnX8I9sv6Dh3\nve3a14pSAyt59uXNWMoNr+dTpjK/EfiwpGsoSf9826Pd+JhMc4DdXbYl24iyMt9OVXXDwJD0ZNv/\nC2D7CklvoKxU2NN9MLts2PUJ76pqPsVD1XBFXYZ2mNoduAj4sqstBQeNpH2BfwOeRpmo9DHKvgli\nzZvDvXRu1SH7CHCBpHcAF1A6AXUv1fwyyvIcB1I6h3sDO3TPou7Jtfu0R989OWkDSh3q4cAf2p7R\nUBxTqudUB5WNHG7rnvBRTZj6wNBNwBriWGb7GSOcu9VlBcnaaPUOU2+krOL5/jpuzndcf6S1bgCw\nffJwr5vkGK6rrv0Dyu/nf1A+7f5rr6/dFcefU+ab7ESZ63EX1RvPUAelhhjupryxfIaypeAjdZaE\n92uiH3Hst6tOttdx/BoY6q2J8oO0jNUVL00vITwwVDaYuNL26V3tRwP7uMeLRg0TzzRWr+vyHMpN\n6m/WeP3G17oZpiO0ahhl0Ej6JGUlzxuAsymf9n7imra47NdEv4trWB9iHHE8fbTztrtn77aOpPMp\nwzQX1VHJMUocW1N6aY9SZkhDGd6bDhzsHu/J2RHHvpTkvhdl6eZzbC+q49pTjcpywJ2zYz9OmewI\n1Hpj+v8B99m+WdLewIuBG21fWsf1O+JobCXPfk30T/GArVI5VUlaTvloPrQm/ZeBS23/tqF49mX1\nlopLXC06V+P1Hweup2y2Ybomsbm+5ZIX2D6sOv6Y7b/rOPct26+sIYbPj3K6lhvTVU96L8r9yG9S\nJo99nbLz1XW2/3aUl/cyrg1YfUO25yt59muif4yyucSXgfOaSvoqa8EP9w84MJOVhobRVDYJP4jy\ng/sC4BLKjchvNRpgzZqul+6IY9Xw5jBDKI0vbV0XSUso8yo2BpZT1rv5dZVor3N9+wOMuE+valjJ\ns1+rbm4EPklJKv9c1XJ/mTJ80POlT4fY3qyua01hBnBZe/6LwBclPZWyj+6xwEAl+pES+VC9dJ2h\nrOO5SSPpXaOdr+OGcLmMXX3SgtV/98epdw2kC4Ghctc1Fh+sI2f1a6L/ne1LgEuqWbGvpYyLnirp\nm7aPaDa8gfKEscWqvPTfqq+BNVy9NNDTiTEdhraYXA/YWKu3mxxaKqMOnR2hoylLMtTtUkn/RVlM\n7QxggaQfUoZuvldjHI0uPtivQzfDfvSU9GTKjbdaPh5HDGeEeukd66oGq2K4klF67rZfXlcs0Oxw\nkcpa8Lb9Q5Wdvl5PKXU81/bjo7960mJodAJbvyb699j+RNNxRCHp9wBs36uyPPFLgZttL2k2svo1\nXS89VU2FOSaStgBWusYtLjuu3ejig3WOUU2aJPmpo6pT/wHwQ0l/RbkJ+2rgfElHNRpcM86lzAR9\nI/DaauJU7b0pSe/tOD6069w/1h1PUyQ9TdIXqmVTHgBukPQzScerxo1xbE+zvbntzWyvXx0PPe55\n0Ua/9ug3Ad5K+QX6NGV8/hDgJuAjTdZzDxqVrQRfSOml3Ak8o+rZbwFcYXuPRgNsQJP10h0xTIVt\nLn/C6je5Z7B6ciEAdUwoVNnB6SO2r1RZcO6llPXxjwO2dk1bOzatX2/GnkmZxrwxcCmlCufjwOso\nH5nf1Fgl2W5eAAANVklEQVRkg+d31djzr6ulBu4FsP1zSf3Xi5gELr2nK4AruuqlTwN6Wi/dYSps\nc3kIMJPyu9ppNmVdqDo81dXOTrbPl/R+278C/l7STTXF0Lh+TfS72D6s6jndQ1nfxlWZ5RM2fIie\nsqQNXLatW7WZRVVO2JdDgxPRXS9d/bt0VojVZSpsc3kKcFz3DPFqzsUp1FNuukLSn1DeeA8B7qhi\nEAP089nXf9Gq5/S16vvQ44HsRTbo9ayupb+7o/2pwLsbiahZq5anlnRe54k653gAz5X0i2pS3+7V\n8dDj59QUw0xXezp3qtq2rymGv6B80v8mZYjxrVX7lpThm4HQrz36RZI2tf3LzmnUVelUXUsUBzDS\nbD/byykzEQdN05u1A+XmX1PX7vCUUc7V8umm+vk8bJj2BylrNA2EvuzR237zcDe1bN9KudkSNZHU\n+UY7S9Llkh6W9H1JuzQZW0Ma3ax9ilkk6QnLVEt6M6v39e0pSSdXC5kNtL6suukmaQdgT2Cp7YG5\nwTIVdFV3LKAsbHYGZd2bt7qmnZ2miqbrpacSSTMpm3z8ljU3bN8QeP3Qjfsex7CCUg02A/gKZf2l\n63p93ammLxO9pAttH1wdH0RZ9+ZK4A+Af7J9ZnPRDZauRN+9reDALJ4VI1PZXnJo8bBaVxTtWHRv\nF8rchrnANMraWF/2FFjuvA79mug7V+b7PvDHtm+XtBVweWeyid6SdD9wDqXHegiwfVVpgqQb6lod\nMGI4w80ZkLQ7pdz1UI+wK1nb9OvN2M53pw1t3w5g+4GOVeqiHp3reS+ibMb982pZhIubCSlilSfM\nGbB9PWXPgIGpuunXHn3nOOh04Om275G0IbCojhl3ETH1DVXnNR1H0/oy0Y9E0lOAZ9n+QdOxDBJJ\n+1P2w9y2alpO2RvgG81FFVFUk6P2Ys2fz4VuU/IbQ98neklbAth+qOlYBpHKVm27AF8AhiZMzQL+\nFLjF9tubii1C0ispS0/cwup5HbMoa+/8tQdkB7S+TPSStgP+mbL/48OUIZzNge8Ax9q+o7noBouk\nn9p+Qr181Yv6qe2dGwgrAgBJNwKv6s4JVUn212w/q5HAataXE6Yo9bAXAL9ne+fqzvk2lOnn5zQa\n2eD5jaQXDNP+AuA3dQcT0WV9Vn/S7LQcqG2Z4qb1a9XNVra/0tlgeyVwjqR/aCimQfVnwGckbcbq\nX6jZwP9W5yKa9DngR5LOYfUqmrMp9fSfbSyqmvXr0M05wEPAWaz5n3ck5U3gCWtbRG9V5ZSrbnbV\nMesxYjwkPYsyU7vzZuzFtpc2F1W9+jXRb0jZyKHzP+9u4KvAZ20/2lRssZqkZ2ZJiojm9WWij/4g\n6We2t2s6jojhSPq67Vc1HUcd+nWMfkSSPmj7I03HMSgkfWqkU4y+TG1Ez0kaactEAQOzzWXrevTp\nRdar2sji3cBww2Un2a5r67yIJ6hm0X+X4bdPfJHtOnf9akxf9ugl/WKkU9S0oUGs8iPgBtvf7z4h\n6fj6w4lYw43A0bZv6T4hqXsv29bqy0RPmST1Atv3dZ8YpP+8KeKPgGG3yLO9Q82xRHQ7npHnC72t\nxjga1a8Tpr4APH2Ec2fXGUgwDXhCQpe0q6QZDcQTsYrtc23fPMK5C4drb6PWjdFHvao5DafZ/l5X\n+0uBv7J9RDORRYCkdwH/a/uzXe1HAZvZ/mQzkdWrLxN9tVriZrbP7Wr/I8p/6mXNRDZ4JC2yPWeE\nc9l4JBol6RrKTdffdbUP1JLm/Tp080HKnfRuVwIprazXZqOcG5i1RGLKWr87yQPY/i3DV+K0Ur8m\n+um2V3Q32n4AeFID8QyyZZIO7G6U9Crgtgbiiei0XrVJ+RqGa2uzfq262VzS+rYf62yUtAEpr6zb\nO4BLJR0GXFO1zQFeDLymsagiio9Tfj7fDVxbtT2/av9EY1HVrF/H6E8EZgJvtf2rqm1T4F+AB2z/\nXZPxDRpJ04EjgKHx+CXA2bazTHE0rvp0eSyrfz5vAE60/fXmoqpXvyb69YGPAm8G7qSMtc2mLDv6\ngeHG5KK3qo0cdqseLrWdYZuIKaIvE/0QSRtTtgQDWGZ72Ik70TuSNgfOoHwcXszqNUSuAY6yPdIs\n5ohadPTohzoiS4CP2f5ac1HVq1/H6JG0NXAMHf95kk61fX+DYQ2iTwFLgbm2H4dV2wh+APhXyt6x\nEY2Q9BbgaOC9wKKqeQ5woqRZtuc3FlyN+rJHL2lvygzYM1l9A/D5lI1H/tj2fzcU2sCRdMtI+8KO\ndi6iDpKWAi+x/VBX+1OBqwZlz9h+7dGfBBxs+7qOtoslXQD8O/DCZsKKLgNTpxxTlrqTPIDtB8sH\nz8HQr3X0m3cleQBsL2b0CTwx+b4v6YPq+q2R9AHgBw3FFDHkF5Ke291YtT3SQDyN6NcevSRtYfvn\nXY1b0r9vXv3qbZRqp2WSFldtewDXUaqiIpr0bsqn/c+z5jyPI4E/aSyqmvXrGP084C3Ae1hzEsTH\ngM/b/remYhtUknYCdq0eLrV9q6Sn2f6fJuOKqGbBdhZuLAVOHaQN7Psy0QNIeg3lTvpugCn/eR+3\n/dVGA4tVsttXTGWSvmL7jU3HUYe+TfQjkfSOQVl6dKqTdJft2U3HETGcQeqItHE8+11NBxCrtKsX\nEdGn+vVm7GgGp2ZqCpD0aYZP6AKeUnM4EWuQ9LyRTjFAy2i3MdGnF1mvRet4LqIOJ41y7qbaomhY\nX47RS3qEkXuRG9tu4xtYRMQ66ctEHxER49fGm7EREdEhiT4iouWS6GPSSbp27GdFNEPS8U3HULck\n+uiFlLjGVPa6pgOoWxJ99MKlTQcQMYqB64ik6iYiBoqk9YZ2QxsUSfQRES2XoZuIiJZLoo+IaLkk\n+pgQSZtL+idJX5R0RNe505qKK2Iskv686RjqkkQfE/V5ShXDecBcSedJml6de1FzYUWM6cNNB1CX\nLP4VE7WT7TdUxxdKej/wHUkDV6scU4+k60c6BcysM5YmJdHHRE3vLFezfYKk5cD3gE2bDS2CmcD+\nwM+72gV8v/5wmpFEHxP1VWBf4NtDDbbPlHQv8OnGooooLgE2tb24+4SkK+sPpxmpo4+IaLncjI0J\nk/QySbtXx4dJ+ldJ7+y4KRsxJUjaRNIcSTOajqVO6dHHhEg6FdgdmA78lDIu/w1gb2A923/cYHgx\n4KqigE8BDwF/D5wK3AdsD/yd7bOai64+SfQxIZKW2t5V0kbAcmBr2yslCbje9nMaDjEGmKQfA4cC\nTwauAHa3fZukrYHLB+XnMzdjY6J+A2D7N5LutL2yemxJv2s2tAget/1TAEm3274NwPb9kh5rNrT6\nJNHHRG0t6V2UcrWhY6rHAzUOGlPSepK2oNyPfLw6HlqmeGDuUWboJiZE0odGO297YGYfxtQj6Q7g\ncUZYg972DrUG1JAk+oiIlhuYjy7RG5K+1XF8XJOxRIyXpF0knd50HHVJoo+J6hyHP7SxKCKGIWl3\nSd+SdIOkj0raRtJ5wHeApU3HV5ck+piojP3FVHY6cDbwBmAFsBi4FXiG7VOaDKxOGaOPCZH0MGUB\nMwEvrY5XsZ1VLKMxkhbb3qPj8W22d2wypiakvDIm6qCO4080FkXE8DaStCerq24e7Xxs+9rGIqtR\nevQR0VqSrhjltG3vW1swDUqijwmRdBAwy/ap1eOrWX2D9r22z20suIgAMnQTE/deYG7H4+nAC4An\nUbYZTKKPRkl6KnAE8Myq6UbgbNsPNRdVvVJ1ExO1oe27Oh5fZftB2z+jJPuIxkh6FnAD8HzK6qq3\nUDoiN0h65mivbZMM3cSESFpm+xkjnLvV9k51xxQxRNK5wALbC7ra3wAc0bHfcaulRx8TdbWkt3Q3\nSjoaWNhAPBGdntOd5AFsnwc8u4F4GpEx+piodwIXSjoCGCpVez5lrP7gxqKKKH61judaJYk+Juob\ntp8naT9g16rtUtvfaTKoiErn0tmdBmoZ7ST6mKihiSeXA5c3HEtEt9OBzUY4d0adgTQpN2NjQiTd\nDZw80nnbI56LiHqkRx8TNY2yIfiwGztETDWSrrX9vKbjqFMSfUzUPbY/0nQQEWth4DolKa+MiRq4\nX5roe5c2HUDdMkYfEyJpy0GaSh7tIOklwOG2j2k6ljpk6CYmJEk++kW1PPERlJ3QbgfObzai+iTR\nR0RrSdoFOLz6egD4CmUk4+WNBlazDN1ERGtJehz4L+Ao28uqtoHbZSo3YyOizQ4B7gGukHR6NYN7\n4AoI0qOPiNaT9CTKtpeHA/sCXwAusP2tRgOrSRJ9RAwUSVtQbsi+0fZ+TcdThyT6iBhIkn5me7um\n46hDxugjIlouiT4iouVSRx8RrTXCWvRQKm82rTOWJiXRR0SbjbQWPcC/1BZFw3IzNiKi5dKjj4jW\nkvSp0c7b/pu6YmlSEn1EtNk1HccfBj7UVCBNytBNRAwESdfZ3rPpOJqQ8sqIGBQD26tNoo+IaLkM\n3UREa0l6hNU9+U2AXw+dAmx780YCq1kSfUREy2XoJiKi5ZLoIyJaLok+IqLlkugjIlouiT4iouWS\n6CMiWu7/A4WQHuOGrpEIAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x114d78438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Μπορούμε να διαγράψουμε ένα πεδίο:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "gwas = gwas.drop('LINK', 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Μπορούμε να μετατρέψουμε ένα πεδίο σε ένα άλλο φορμάτ. Π.χ:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "gwas['DATE'] = pd.to_datetime(gwas[\"DATE\"]) # Μετατροπή του DATE από string σε datetime"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Τώρα μπορούμε να κάνουμε sort τα δεδομένα μας με βάση το DATE:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "gwas_date_sorted = gwas.sort_values('DATE')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Και μπορούμε να κάνουμε plot όλα τα p-values με βάση το DATE που έγιναν publish"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "Empty 'DataFrame': no numeric data to plot",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-22-d0f6d99f691a>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mgwas_date_sorted\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'P-VALUE'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m~/anaconda3/envs/arkalos/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, kind, ax, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, label, secondary_y, **kwds)\u001b[0m\n\u001b[1;32m   2451\u001b[0m                            \u001b[0mcolormap\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolormap\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtable\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0myerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0myerr\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2452\u001b[0m                            \u001b[0mxerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mxerr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecondary_y\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msecondary_y\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2453\u001b[0;31m                            **kwds)\n\u001b[0m\u001b[1;32m   2454\u001b[0m     \u001b[0m__call__\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__doc__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplot_series\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__doc__\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2455\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/arkalos/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36mplot_series\u001b[0;34m(data, kind, ax, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, label, secondary_y, **kwds)\u001b[0m\n\u001b[1;32m   1892\u001b[0m                  \u001b[0myerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0myerr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mxerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mxerr\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1893\u001b[0m                  \u001b[0mlabel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecondary_y\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msecondary_y\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1894\u001b[0;31m                  **kwds)\n\u001b[0m\u001b[1;32m   1895\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1896\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/arkalos/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36m_plot\u001b[0;34m(data, x, y, subplots, ax, kind, **kwds)\u001b[0m\n\u001b[1;32m   1692\u001b[0m         \u001b[0mplot_obj\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mklass\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msubplots\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msubplots\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mkind\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1693\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1694\u001b[0;31m     \u001b[0mplot_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgenerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1695\u001b[0m     \u001b[0mplot_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1696\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mplot_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/arkalos/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36mgenerate\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    241\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mgenerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    242\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_args_adjust\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 243\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_compute_plot_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    244\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_setup_subplots\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    245\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_make_plot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/arkalos/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36m_compute_plot_data\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    350\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mis_empty\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    351\u001b[0m             raise TypeError('Empty {0!r}: no numeric data to '\n\u001b[0;32m--> 352\u001b[0;31m                             'plot'.format(numeric_data.__class__.__name__))\n\u001b[0m\u001b[1;32m    353\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    354\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnumeric_data\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mTypeError\u001b[0m: Empty 'DataFrame': no numeric data to plot"
     ]
    }
   ],
   "source": [
    "gwas_date_sorted['P-VALUE'].plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Τι έγινε εδώ;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{float, str}"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set([type(x) for x in gwas_date_sorted['P-VALUE']])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Κάποια p-values είναι str και κάποια float! Ποια είναι strings? Ας προσπαθήσουμε να τα μετατρέψουμε όλα σε numberic:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "Unable to parse string \"2E-1449\" at position 35122",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32mpandas/_libs/src/inference.pyx\u001b[0m in \u001b[0;36mpandas._libs.lib.maybe_convert_numeric (pandas/_libs/lib.c:56156)\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: Unable to parse string \"2E-1449\"",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-24-8a7ceacdb8bc>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_numeric\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgwas_date_sorted\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'P-VALUE'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m~/anaconda3/envs/arkalos/lib/python3.6/site-packages/pandas/core/tools/numeric.py\u001b[0m in \u001b[0;36mto_numeric\u001b[0;34m(arg, errors, downcast)\u001b[0m\n\u001b[1;32m    124\u001b[0m             \u001b[0mcoerce_numeric\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0merrors\u001b[0m \u001b[0;32min\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m'ignore'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'raise'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    125\u001b[0m             values = lib.maybe_convert_numeric(values, set(),\n\u001b[0;32m--> 126\u001b[0;31m                                                coerce_numeric=coerce_numeric)\n\u001b[0m\u001b[1;32m    127\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    128\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/src/inference.pyx\u001b[0m in \u001b[0;36mpandas._libs.lib.maybe_convert_numeric (pandas/_libs/lib.c:56638)\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: Unable to parse string \"2E-1449\" at position 35122"
     ]
    }
   ],
   "source": [
    "pd.to_numeric(gwas_date_sorted['P-VALUE'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Αποτυχία. Ας του πούμε να βάλει NaN values όπου η μετατροπή αποτυγχάνει:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "274      4.000000e-08\n",
       "273      8.000000e-06\n",
       "272      1.000000e-10\n",
       "271      2.000000e-06\n",
       "270      2.000000e-06\n",
       "269      7.000000e-06\n",
       "268      8.000000e-12\n",
       "408      5.000000e-10\n",
       "266      2.000000e-06\n",
       "267      6.000000e-06\n",
       "336      6.000000e-08\n",
       "409      2.000000e-34\n",
       "265      3.000000e-06\n",
       "410      9.000000e-06\n",
       "264      6.000000e-06\n",
       "262      3.000000e-06\n",
       "261      2.000000e-06\n",
       "260      7.000000e-07\n",
       "263      5.000000e-06\n",
       "411      2.000000e-18\n",
       "259      2.000000e-12\n",
       "747      1.000000e-06\n",
       "258      4.000000e-07\n",
       "41851    3.000000e-15\n",
       "256      1.000000e-12\n",
       "257      9.000000e-13\n",
       "414      1.000000e-39\n",
       "413      6.000000e-18\n",
       "412      2.000000e-14\n",
       "324      2.000000e-06\n",
       "             ...     \n",
       "64151    7.000000e-09\n",
       "64152    2.000000e-08\n",
       "64153    4.000000e-11\n",
       "64154    3.000000e-09\n",
       "64155    3.000000e-13\n",
       "64148    7.000000e-13\n",
       "64138    3.000000e-08\n",
       "64139    2.000000e-09\n",
       "64136    3.000000e-10\n",
       "64120    9.000000e-09\n",
       "64121    1.000000e-09\n",
       "64122    9.000000e-11\n",
       "64078    7.000000e-07\n",
       "64124    1.000000e-08\n",
       "64125    6.000000e-11\n",
       "64137    1.000000e-12\n",
       "64127    3.000000e-09\n",
       "64126    1.000000e-08\n",
       "64129    4.000000e-13\n",
       "64130    4.000000e-09\n",
       "64131    1.000000e-09\n",
       "64132    3.000000e-09\n",
       "64133    4.000000e-08\n",
       "64134    5.000000e-12\n",
       "64135    3.000000e-08\n",
       "64128    2.000000e-16\n",
       "64123    9.000000e-11\n",
       "64032    8.000000e-08\n",
       "64031    3.000000e-07\n",
       "64234    4.000000e-06\n",
       "Name: P-VALUE, Length: 64239, dtype: float64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.to_numeric(gwas_date_sorted['P-VALUE'], errors='coerce')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ωραία ας αντικαταστήσουμε τώρα το παλιό με το νέο πεδίο:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "gwas_date_sorted['P-VALUE'] = pd.to_numeric(gwas_date_sorted['P-VALUE'], errors='coerce')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Τώρα μπορούμε να δούμε πoιες γραμμή είναι NaN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DATE ADDED TO CATALOG</th>\n",
       "      <th>PUBMEDID</th>\n",
       "      <th>FIRST AUTHOR</th>\n",
       "      <th>DATE</th>\n",
       "      <th>JOURNAL</th>\n",
       "      <th>STUDY</th>\n",
       "      <th>DISEASE/TRAIT</th>\n",
       "      <th>INITIAL SAMPLE SIZE</th>\n",
       "      <th>REPLICATION SAMPLE SIZE</th>\n",
       "      <th>REGION</th>\n",
       "      <th>...</th>\n",
       "      <th>CONTEXT</th>\n",
       "      <th>INTERGENIC</th>\n",
       "      <th>RISK ALLELE FREQUENCY</th>\n",
       "      <th>P-VALUE</th>\n",
       "      <th>PVALUE_MLOG</th>\n",
       "      <th>P-VALUE (TEXT)</th>\n",
       "      <th>OR or BETA</th>\n",
       "      <th>95% CI (TEXT)</th>\n",
       "      <th>PLATFORM [SNPS PASSING QC]</th>\n",
       "      <th>CNV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>37312</th>\n",
       "      <td>2016-12-01</td>\n",
       "      <td>26910538</td>\n",
       "      <td>Choi SH</td>\n",
       "      <td>2016-02-24</td>\n",
       "      <td>PLoS Genet</td>\n",
       "      <td>Six Novel Loci Associated with Circulating VEG...</td>\n",
       "      <td>Vascular endothelial growth factor levels</td>\n",
       "      <td>9541 European ancestry individuals, 1,115 Cile...</td>\n",
       "      <td>2,141 European ancestry individuals, 659 Sorbi...</td>\n",
       "      <td>6p21.1</td>\n",
       "      <td>...</td>\n",
       "      <td>intergenic_variant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.46</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1448.69897</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.64</td>\n",
       "      <td>[0.62-0.66] unit decrease</td>\n",
       "      <td>Affymetrix, Illumina [6705861] (imputed)</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      DATE ADDED TO CATALOG  PUBMEDID FIRST AUTHOR       DATE     JOURNAL  \\\n",
       "37312            2016-12-01  26910538      Choi SH 2016-02-24  PLoS Genet   \n",
       "\n",
       "                                                   STUDY  \\\n",
       "37312  Six Novel Loci Associated with Circulating VEG...   \n",
       "\n",
       "                                   DISEASE/TRAIT  \\\n",
       "37312  Vascular endothelial growth factor levels   \n",
       "\n",
       "                                     INITIAL SAMPLE SIZE  \\\n",
       "37312  9541 European ancestry individuals, 1,115 Cile...   \n",
       "\n",
       "                                 REPLICATION SAMPLE SIZE  REGION ...  \\\n",
       "37312  2,141 European ancestry individuals, 659 Sorbi...  6p21.1 ...   \n",
       "\n",
       "                  CONTEXT INTERGENIC RISK ALLELE FREQUENCY P-VALUE  \\\n",
       "37312  intergenic_variant        1.0                  0.46     NaN   \n",
       "\n",
       "       PVALUE_MLOG  P-VALUE (TEXT) OR or BETA              95% CI (TEXT)  \\\n",
       "37312   1448.69897             NaN       0.64  [0.62-0.66] unit decrease   \n",
       "\n",
       "                     PLATFORM [SNPS PASSING QC] CNV  \n",
       "37312  Affymetrix, Illumina [6705861] (imputed)   N  \n",
       "\n",
       "[1 rows x 33 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas_date_sorted[gwas_date_sorted['P-VALUE'].isnull()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Μία γραμμή δημιουργούσε αυτό το πρόβλημα. Ας τη βγάλουμε:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "gwas_date_sorted = gwas_date_sorted[~gwas_date_sorted['P-VALUE'].isnull()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Τώρα μπορούμε να κάνουμε το plot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZcAAAD8CAYAAAC7IukgAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n7f4/hLM4/oN4kn8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11533d390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gwas_date_sorted['P-VALUE'].plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Τι είναι αυτό καλέ; \n",
    "Από default στον Χ άξονα βάζει το index του dataframe:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Int64Index([  274,   273,   272,   271,   270,   269,   268,   408,   266,\n",
       "              267,\n",
       "            ...\n",
       "            64131, 64132, 64133, 64134, 64135, 64128, 64123, 64032, 64031,\n",
       "            64234],\n",
       "           dtype='int64', length=64238)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas_date_sorted.index"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Το index είναι ένα μοναδικό στοιχείο που χαρακτηρίζει κάθε γραμμή. Από default περιέχει τον άυξων αριθμό της γραμμής στο CSV αρχείο. Μπορούμε όμως να αλλάξουμε το index:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "gwas_date_sorted2 = gwas_date_sorted.set_index(gwas_date_sorted['DATE'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYEAAAEACAYAAABVtcpZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11abc3588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gwas_date_sorted2['PVALUE_MLOG'].plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Παρατηρούμε ότι όσο περνάει ο χρόνος. Οι GWAS έρευνες που γίνονται έχουν πιο χαμηλό p-value."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Μπορούμε να φτιάξουμε ένα νέα field μέσω του index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "gwas_date_sorted2['YEAR'] = gwas_date_sorted2.index.year"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Μπορούμε επίσης να \"γκρουπάρουμε\" όλες τις γραμμές ανάλογα με τις τιμές ενός πεδίου:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DATE ADDED TO CATALOG</th>\n",
       "      <th>PUBMEDID</th>\n",
       "      <th>FIRST AUTHOR</th>\n",
       "      <th>DATE</th>\n",
       "      <th>JOURNAL</th>\n",
       "      <th>STUDY</th>\n",
       "      <th>DISEASE/TRAIT</th>\n",
       "      <th>INITIAL SAMPLE SIZE</th>\n",
       "      <th>REPLICATION SAMPLE SIZE</th>\n",
       "      <th>REGION</th>\n",
       "      <th>...</th>\n",
       "      <th>CONTEXT</th>\n",
       "      <th>INTERGENIC</th>\n",
       "      <th>RISK ALLELE FREQUENCY</th>\n",
       "      <th>P-VALUE</th>\n",
       "      <th>PVALUE_MLOG</th>\n",
       "      <th>P-VALUE (TEXT)</th>\n",
       "      <th>OR or BETA</th>\n",
       "      <th>95% CI (TEXT)</th>\n",
       "      <th>PLATFORM [SNPS PASSING QC]</th>\n",
       "      <th>CNV</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YEAR</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2005</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>440</td>\n",
       "      <td>440</td>\n",
       "      <td>440</td>\n",
       "      <td>440</td>\n",
       "      <td>440</td>\n",
       "      <td>440</td>\n",
       "      <td>440</td>\n",
       "      <td>440</td>\n",
       "      <td>196</td>\n",
       "      <td>439</td>\n",
       "      <td>...</td>\n",
       "      <td>439</td>\n",
       "      <td>437</td>\n",
       "      <td>440</td>\n",
       "      <td>440</td>\n",
       "      <td>440</td>\n",
       "      <td>186</td>\n",
       "      <td>224</td>\n",
       "      <td>224</td>\n",
       "      <td>440</td>\n",
       "      <td>440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>977</td>\n",
       "      <td>977</td>\n",
       "      <td>977</td>\n",
       "      <td>977</td>\n",
       "      <td>977</td>\n",
       "      <td>977</td>\n",
       "      <td>977</td>\n",
       "      <td>977</td>\n",
       "      <td>627</td>\n",
       "      <td>974</td>\n",
       "      <td>...</td>\n",
       "      <td>974</td>\n",
       "      <td>972</td>\n",
       "      <td>977</td>\n",
       "      <td>977</td>\n",
       "      <td>977</td>\n",
       "      <td>217</td>\n",
       "      <td>677</td>\n",
       "      <td>709</td>\n",
       "      <td>977</td>\n",
       "      <td>977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>1390</td>\n",
       "      <td>1390</td>\n",
       "      <td>1390</td>\n",
       "      <td>1390</td>\n",
       "      <td>1390</td>\n",
       "      <td>1390</td>\n",
       "      <td>1390</td>\n",
       "      <td>1390</td>\n",
       "      <td>831</td>\n",
       "      <td>1387</td>\n",
       "      <td>...</td>\n",
       "      <td>1387</td>\n",
       "      <td>1383</td>\n",
       "      <td>1387</td>\n",
       "      <td>1390</td>\n",
       "      <td>1390</td>\n",
       "      <td>481</td>\n",
       "      <td>1096</td>\n",
       "      <td>1093</td>\n",
       "      <td>1390</td>\n",
       "      <td>1390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>2582</td>\n",
       "      <td>2582</td>\n",
       "      <td>2582</td>\n",
       "      <td>2582</td>\n",
       "      <td>2582</td>\n",
       "      <td>2582</td>\n",
       "      <td>2582</td>\n",
       "      <td>2582</td>\n",
       "      <td>1256</td>\n",
       "      <td>2574</td>\n",
       "      <td>...</td>\n",
       "      <td>2574</td>\n",
       "      <td>2580</td>\n",
       "      <td>2552</td>\n",
       "      <td>2582</td>\n",
       "      <td>2582</td>\n",
       "      <td>704</td>\n",
       "      <td>2025</td>\n",
       "      <td>2029</td>\n",
       "      <td>2582</td>\n",
       "      <td>2582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>2602</td>\n",
       "      <td>2602</td>\n",
       "      <td>2602</td>\n",
       "      <td>2602</td>\n",
       "      <td>2602</td>\n",
       "      <td>2602</td>\n",
       "      <td>2602</td>\n",
       "      <td>2602</td>\n",
       "      <td>1476</td>\n",
       "      <td>2578</td>\n",
       "      <td>...</td>\n",
       "      <td>2578</td>\n",
       "      <td>2584</td>\n",
       "      <td>2481</td>\n",
       "      <td>2602</td>\n",
       "      <td>2602</td>\n",
       "      <td>721</td>\n",
       "      <td>2129</td>\n",
       "      <td>2114</td>\n",
       "      <td>2602</td>\n",
       "      <td>2602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>4404</td>\n",
       "      <td>4404</td>\n",
       "      <td>4404</td>\n",
       "      <td>4404</td>\n",
       "      <td>4404</td>\n",
       "      <td>4404</td>\n",
       "      <td>4404</td>\n",
       "      <td>4404</td>\n",
       "      <td>1608</td>\n",
       "      <td>4354</td>\n",
       "      <td>...</td>\n",
       "      <td>4356</td>\n",
       "      <td>4318</td>\n",
       "      <td>4245</td>\n",
       "      <td>4404</td>\n",
       "      <td>4404</td>\n",
       "      <td>2629</td>\n",
       "      <td>3371</td>\n",
       "      <td>3389</td>\n",
       "      <td>4404</td>\n",
       "      <td>4404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>5551</td>\n",
       "      <td>5551</td>\n",
       "      <td>5551</td>\n",
       "      <td>5551</td>\n",
       "      <td>5551</td>\n",
       "      <td>5551</td>\n",
       "      <td>5551</td>\n",
       "      <td>5551</td>\n",
       "      <td>2277</td>\n",
       "      <td>5497</td>\n",
       "      <td>...</td>\n",
       "      <td>5497</td>\n",
       "      <td>5486</td>\n",
       "      <td>5025</td>\n",
       "      <td>5551</td>\n",
       "      <td>5551</td>\n",
       "      <td>2432</td>\n",
       "      <td>4657</td>\n",
       "      <td>4649</td>\n",
       "      <td>5551</td>\n",
       "      <td>5551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>4337</td>\n",
       "      <td>4337</td>\n",
       "      <td>4337</td>\n",
       "      <td>4337</td>\n",
       "      <td>4337</td>\n",
       "      <td>4337</td>\n",
       "      <td>4337</td>\n",
       "      <td>4337</td>\n",
       "      <td>1879</td>\n",
       "      <td>4143</td>\n",
       "      <td>...</td>\n",
       "      <td>4144</td>\n",
       "      <td>4285</td>\n",
       "      <td>3769</td>\n",
       "      <td>4337</td>\n",
       "      <td>4337</td>\n",
       "      <td>1834</td>\n",
       "      <td>3741</td>\n",
       "      <td>3767</td>\n",
       "      <td>4337</td>\n",
       "      <td>4337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>11972</td>\n",
       "      <td>11972</td>\n",
       "      <td>11972</td>\n",
       "      <td>11972</td>\n",
       "      <td>11972</td>\n",
       "      <td>11972</td>\n",
       "      <td>11972</td>\n",
       "      <td>11972</td>\n",
       "      <td>3873</td>\n",
       "      <td>11538</td>\n",
       "      <td>...</td>\n",
       "      <td>11538</td>\n",
       "      <td>11941</td>\n",
       "      <td>11140</td>\n",
       "      <td>11972</td>\n",
       "      <td>11972</td>\n",
       "      <td>5220</td>\n",
       "      <td>11316</td>\n",
       "      <td>10957</td>\n",
       "      <td>11972</td>\n",
       "      <td>11972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>14806</td>\n",
       "      <td>14806</td>\n",
       "      <td>14806</td>\n",
       "      <td>14806</td>\n",
       "      <td>14806</td>\n",
       "      <td>14806</td>\n",
       "      <td>14806</td>\n",
       "      <td>14806</td>\n",
       "      <td>2329</td>\n",
       "      <td>14182</td>\n",
       "      <td>...</td>\n",
       "      <td>14182</td>\n",
       "      <td>14799</td>\n",
       "      <td>13333</td>\n",
       "      <td>14806</td>\n",
       "      <td>14806</td>\n",
       "      <td>2619</td>\n",
       "      <td>13843</td>\n",
       "      <td>13705</td>\n",
       "      <td>14806</td>\n",
       "      <td>14806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>15167</td>\n",
       "      <td>15167</td>\n",
       "      <td>15167</td>\n",
       "      <td>15167</td>\n",
       "      <td>15167</td>\n",
       "      <td>15167</td>\n",
       "      <td>15167</td>\n",
       "      <td>15167</td>\n",
       "      <td>8011</td>\n",
       "      <td>14697</td>\n",
       "      <td>...</td>\n",
       "      <td>14714</td>\n",
       "      <td>15147</td>\n",
       "      <td>13824</td>\n",
       "      <td>15167</td>\n",
       "      <td>15167</td>\n",
       "      <td>5526</td>\n",
       "      <td>13074</td>\n",
       "      <td>12904</td>\n",
       "      <td>15167</td>\n",
       "      <td>15167</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>13 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      DATE ADDED TO CATALOG  PUBMEDID  FIRST AUTHOR   DATE  JOURNAL  STUDY  \\\n",
       "YEAR                                                                         \n",
       "2005                      2         2             2      2        2      2   \n",
       "2006                      8         8             8      8        8      8   \n",
       "2007                    440       440           440    440      440    440   \n",
       "2008                    977       977           977    977      977    977   \n",
       "2009                   1390      1390          1390   1390     1390   1390   \n",
       "2010                   2582      2582          2582   2582     2582   2582   \n",
       "2011                   2602      2602          2602   2602     2602   2602   \n",
       "2012                   4404      4404          4404   4404     4404   4404   \n",
       "2013                   5551      5551          5551   5551     5551   5551   \n",
       "2014                   4337      4337          4337   4337     4337   4337   \n",
       "2015                  11972     11972         11972  11972    11972  11972   \n",
       "2016                  14806     14806         14806  14806    14806  14806   \n",
       "2017                  15167     15167         15167  15167    15167  15167   \n",
       "\n",
       "      DISEASE/TRAIT  INITIAL SAMPLE SIZE  REPLICATION SAMPLE SIZE  REGION  \\\n",
       "YEAR                                                                        \n",
       "2005              2                    2                        1       2   \n",
       "2006              8                    8                        4       8   \n",
       "2007            440                  440                      196     439   \n",
       "2008            977                  977                      627     974   \n",
       "2009           1390                 1390                      831    1387   \n",
       "2010           2582                 2582                     1256    2574   \n",
       "2011           2602                 2602                     1476    2578   \n",
       "2012           4404                 4404                     1608    4354   \n",
       "2013           5551                 5551                     2277    5497   \n",
       "2014           4337                 4337                     1879    4143   \n",
       "2015          11972                11972                     3873   11538   \n",
       "2016          14806                14806                     2329   14182   \n",
       "2017          15167                15167                     8011   14697   \n",
       "\n",
       "      ...    CONTEXT  INTERGENIC  RISK ALLELE FREQUENCY  P-VALUE  PVALUE_MLOG  \\\n",
       "YEAR  ...                                                                       \n",
       "2005  ...          2           2                      2        2            2   \n",
       "2006  ...          8           8                      7        8            8   \n",
       "2007  ...        439         437                    440      440          440   \n",
       "2008  ...        974         972                    977      977          977   \n",
       "2009  ...       1387        1383                   1387     1390         1390   \n",
       "2010  ...       2574        2580                   2552     2582         2582   \n",
       "2011  ...       2578        2584                   2481     2602         2602   \n",
       "2012  ...       4356        4318                   4245     4404         4404   \n",
       "2013  ...       5497        5486                   5025     5551         5551   \n",
       "2014  ...       4144        4285                   3769     4337         4337   \n",
       "2015  ...      11538       11941                  11140    11972        11972   \n",
       "2016  ...      14182       14799                  13333    14806        14806   \n",
       "2017  ...      14714       15147                  13824    15167        15167   \n",
       "\n",
       "      P-VALUE (TEXT)  OR or BETA  95% CI (TEXT)  PLATFORM [SNPS PASSING QC]  \\\n",
       "YEAR                                                                          \n",
       "2005               0           2              2                           2   \n",
       "2006               0           6              6                           8   \n",
       "2007             186         224            224                         440   \n",
       "2008             217         677            709                         977   \n",
       "2009             481        1096           1093                        1390   \n",
       "2010             704        2025           2029                        2582   \n",
       "2011             721        2129           2114                        2602   \n",
       "2012            2629        3371           3389                        4404   \n",
       "2013            2432        4657           4649                        5551   \n",
       "2014            1834        3741           3767                        4337   \n",
       "2015            5220       11316          10957                       11972   \n",
       "2016            2619       13843          13705                       14806   \n",
       "2017            5526       13074          12904                       15167   \n",
       "\n",
       "        CNV  \n",
       "YEAR         \n",
       "2005      2  \n",
       "2006      8  \n",
       "2007    440  \n",
       "2008    977  \n",
       "2009   1390  \n",
       "2010   2582  \n",
       "2011   2602  \n",
       "2012   4404  \n",
       "2013   5551  \n",
       "2014   4337  \n",
       "2015  11972  \n",
       "2016  14806  \n",
       "2017  15167  \n",
       "\n",
       "[13 rows x 33 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas_date_sorted2.groupby('YEAR').aggregate('count')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Το aggregate εφαρμόζει μία συνάρτηση σε κάθε ένα group ξεχωριστά. Υπάρχουν πολλές built-in συναρτήσεις όπως οι count, mean, median, sum, min, max. \n",
    "\n",
    "Π.χ: πλοτάρουμε το πλήθος των entries ανά χρόνο"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x12077fa90>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas_date_sorted2.groupby('YEAR').aggregate('count')['JOURNAL'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYcAAAEKCAYAAAD5MJl4AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1155f95f8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Τυπώνουμε όλες τις γραμμές που έχουν MAPPED_GENE το BRCA2 και έχουν p-value<0.0000001"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DATE ADDED TO CATALOG</th>\n",
       "      <th>PUBMEDID</th>\n",
       "      <th>FIRST AUTHOR</th>\n",
       "      <th>DATE</th>\n",
       "      <th>JOURNAL</th>\n",
       "      <th>STUDY</th>\n",
       "      <th>DISEASE/TRAIT</th>\n",
       "      <th>INITIAL SAMPLE SIZE</th>\n",
       "      <th>REPLICATION SAMPLE SIZE</th>\n",
       "      <th>REGION</th>\n",
       "      <th>...</th>\n",
       "      <th>INTERGENIC</th>\n",
       "      <th>RISK ALLELE FREQUENCY</th>\n",
       "      <th>P-VALUE</th>\n",
       "      <th>PVALUE_MLOG</th>\n",
       "      <th>P-VALUE (TEXT)</th>\n",
       "      <th>OR or BETA</th>\n",
       "      <th>95% CI (TEXT)</th>\n",
       "      <th>PLATFORM [SNPS PASSING QC]</th>\n",
       "      <th>CNV</th>\n",
       "      <th>YEAR</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DATE</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2013-10-06</th>\n",
       "      <td>2014-05-12</td>\n",
       "      <td>24097068</td>\n",
       "      <td>Willer CJ</td>\n",
       "      <td>2013-10-06</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>Discovery and refinement of loci associated wi...</td>\n",
       "      <td>LDL cholesterol</td>\n",
       "      <td>94,595 European ancestry individuals</td>\n",
       "      <td>93,982 European ancestry individuals</td>\n",
       "      <td>13q13.1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.48</td>\n",
       "      <td>2.000000e-11</td>\n",
       "      <td>10.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.024000</td>\n",
       "      <td>[NR] unit increase</td>\n",
       "      <td>NR [NR] (imputed)</td>\n",
       "      <td>N</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-06-01</th>\n",
       "      <td>2015-01-21</td>\n",
       "      <td>24880342</td>\n",
       "      <td>Wang Y</td>\n",
       "      <td>2014-06-01</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>Rare variants of large effect in BRCA2 and CHE...</td>\n",
       "      <td>Lung cancer</td>\n",
       "      <td>3,442 European ancestry adenocarcinoma cases, ...</td>\n",
       "      <td>3,589 European ancestry adenocarcinoma cases, ...</td>\n",
       "      <td>13q13.1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0105</td>\n",
       "      <td>5.000000e-20</td>\n",
       "      <td>19.301030</td>\n",
       "      <td>(Squamous cell carcinoma)</td>\n",
       "      <td>2.470000</td>\n",
       "      <td>[2.03-3.00]</td>\n",
       "      <td>Illumina [8900000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-06-01</th>\n",
       "      <td>2015-01-21</td>\n",
       "      <td>24880342</td>\n",
       "      <td>Wang Y</td>\n",
       "      <td>2014-06-01</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>Rare variants of large effect in BRCA2 and CHE...</td>\n",
       "      <td>Lung cancer</td>\n",
       "      <td>3,442 European ancestry adenocarcinoma cases, ...</td>\n",
       "      <td>3,589 European ancestry adenocarcinoma cases, ...</td>\n",
       "      <td>13q13.1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.011</td>\n",
       "      <td>2.000000e-19</td>\n",
       "      <td>18.698970</td>\n",
       "      <td>(All lung cancer)</td>\n",
       "      <td>1.830000</td>\n",
       "      <td>[1.61-2.09]</td>\n",
       "      <td>Illumina [8900000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-04-20</th>\n",
       "      <td>2017-02-03</td>\n",
       "      <td>27197191</td>\n",
       "      <td>Fehringer G</td>\n",
       "      <td>2016-04-20</td>\n",
       "      <td>Cancer Res</td>\n",
       "      <td>Cross-cancer genome-wide analysis of lung, ova...</td>\n",
       "      <td>Cancer</td>\n",
       "      <td>5,020 European ancestry lung cancer cases, 3,7...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13q13.1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>8.000000e-12</td>\n",
       "      <td>11.096910</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.600000</td>\n",
       "      <td>[NR]</td>\n",
       "      <td>Affymetrix, Illumina [9916564] (imputed)</td>\n",
       "      <td>N</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-04-20</th>\n",
       "      <td>2017-02-03</td>\n",
       "      <td>27197191</td>\n",
       "      <td>Fehringer G</td>\n",
       "      <td>2016-04-20</td>\n",
       "      <td>Cancer Res</td>\n",
       "      <td>Cross-cancer genome-wide analysis of lung, ova...</td>\n",
       "      <td>Cancer (pleiotropy)</td>\n",
       "      <td>5,020 European ancestry lung cancer cases, 3,7...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13q13.1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NR</td>\n",
       "      <td>5.000000e-10</td>\n",
       "      <td>9.301030</td>\n",
       "      <td>(subset analysis)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affymetrix, Illumina [9916564] (imputed)</td>\n",
       "      <td>N</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-02-21</th>\n",
       "      <td>2017-06-26</td>\n",
       "      <td>28334899</td>\n",
       "      <td>Spracklen CN</td>\n",
       "      <td>2017-02-21</td>\n",
       "      <td>Hum Mol Genet</td>\n",
       "      <td>Association analyses of East Asian individuals...</td>\n",
       "      <td>LDL cholesterol levels</td>\n",
       "      <td>32,285 East Asian ancestry individuals, 173,08...</td>\n",
       "      <td>8,478 Chinese ancestry individuals</td>\n",
       "      <td>13q13.1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.462</td>\n",
       "      <td>5.000000e-14</td>\n",
       "      <td>13.301030</td>\n",
       "      <td>(Trans-ethnic initial)</td>\n",
       "      <td>0.024300</td>\n",
       "      <td>[0.017-0.032] unit increase (EA Beta value)</td>\n",
       "      <td>Affymetrix, Illumina [~ 1900000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "      <td>2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-06-12</th>\n",
       "      <td>2017-09-18</td>\n",
       "      <td>28604730</td>\n",
       "      <td>McKay JD</td>\n",
       "      <td>2017-06-12</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>Large-scale association analysis identifies ne...</td>\n",
       "      <td>Lung cancer</td>\n",
       "      <td>29,266 European ancestry cases, 56,450 Europea...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13q13.1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010904125</td>\n",
       "      <td>6.000000e-16</td>\n",
       "      <td>15.221849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.603498</td>\n",
       "      <td>[1.430101714-1.797917759]</td>\n",
       "      <td>Illumina [10439017] (imputed)</td>\n",
       "      <td>N</td>\n",
       "      <td>2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-06-12</th>\n",
       "      <td>2017-09-18</td>\n",
       "      <td>28604730</td>\n",
       "      <td>McKay JD</td>\n",
       "      <td>2017-06-12</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>Large-scale association analysis identifies ne...</td>\n",
       "      <td>Squamous cell lung carcinoma</td>\n",
       "      <td>7,426 European ancestry cases, 55,627 European...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13q13.1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010732274</td>\n",
       "      <td>1.000000e-15</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.125263</td>\n",
       "      <td>[1.768050378-2.554646438]</td>\n",
       "      <td>Illumina [10439017] (imputed)</td>\n",
       "      <td>N</td>\n",
       "      <td>2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-23</th>\n",
       "      <td>2017-12-19</td>\n",
       "      <td>29058716</td>\n",
       "      <td>Milne RL</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nat Genet</td>\n",
       "      <td>Identification of ten variants associated with...</td>\n",
       "      <td>Breast cancer (estrogen-receptor negative)</td>\n",
       "      <td>14,135 European ancestry cases, 58,126 Europea...</td>\n",
       "      <td>7,333 European ancestry cases, 42,468 European...</td>\n",
       "      <td>13q13.1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>2.000000e-13</td>\n",
       "      <td>12.698970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.580000</td>\n",
       "      <td>[1.35-1.84] (Oncoarray)</td>\n",
       "      <td>Illumina [~ 11500000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "      <td>2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-23</th>\n",
       "      <td>2017-11-30</td>\n",
       "      <td>29059683</td>\n",
       "      <td>Michailidou K</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>Nature</td>\n",
       "      <td>Association analysis identifies 65 new breast ...</td>\n",
       "      <td>Breast cancer</td>\n",
       "      <td>76,192 European ancestry cases, 63,082 Europea...</td>\n",
       "      <td>46,785 European ancestry cases, 42,892 Europea...</td>\n",
       "      <td>13q13.1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>3.000000e-15</td>\n",
       "      <td>14.522879</td>\n",
       "      <td>(EA)</td>\n",
       "      <td>1.350000</td>\n",
       "      <td>[1.23-1.48] (Oncoarray)</td>\n",
       "      <td>Illumina [~ 11800000] (imputed)</td>\n",
       "      <td>N</td>\n",
       "      <td>2017</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           DATE ADDED TO CATALOG  PUBMEDID   FIRST AUTHOR       DATE  \\\n",
       "DATE                                                                   \n",
       "2013-10-06            2014-05-12  24097068      Willer CJ 2013-10-06   \n",
       "2014-06-01            2015-01-21  24880342         Wang Y 2014-06-01   \n",
       "2014-06-01            2015-01-21  24880342         Wang Y 2014-06-01   \n",
       "2016-04-20            2017-02-03  27197191    Fehringer G 2016-04-20   \n",
       "2016-04-20            2017-02-03  27197191    Fehringer G 2016-04-20   \n",
       "2017-02-21            2017-06-26  28334899   Spracklen CN 2017-02-21   \n",
       "2017-06-12            2017-09-18  28604730       McKay JD 2017-06-12   \n",
       "2017-06-12            2017-09-18  28604730       McKay JD 2017-06-12   \n",
       "2017-10-23            2017-12-19  29058716       Milne RL 2017-10-23   \n",
       "2017-10-23            2017-11-30  29059683  Michailidou K 2017-10-23   \n",
       "\n",
       "                  JOURNAL                                              STUDY  \\\n",
       "DATE                                                                           \n",
       "2013-10-06      Nat Genet  Discovery and refinement of loci associated wi...   \n",
       "2014-06-01      Nat Genet  Rare variants of large effect in BRCA2 and CHE...   \n",
       "2014-06-01      Nat Genet  Rare variants of large effect in BRCA2 and CHE...   \n",
       "2016-04-20     Cancer Res  Cross-cancer genome-wide analysis of lung, ova...   \n",
       "2016-04-20     Cancer Res  Cross-cancer genome-wide analysis of lung, ova...   \n",
       "2017-02-21  Hum Mol Genet  Association analyses of East Asian individuals...   \n",
       "2017-06-12      Nat Genet  Large-scale association analysis identifies ne...   \n",
       "2017-06-12      Nat Genet  Large-scale association analysis identifies ne...   \n",
       "2017-10-23      Nat Genet  Identification of ten variants associated with...   \n",
       "2017-10-23         Nature  Association analysis identifies 65 new breast ...   \n",
       "\n",
       "                                         DISEASE/TRAIT  \\\n",
       "DATE                                                     \n",
       "2013-10-06                             LDL cholesterol   \n",
       "2014-06-01                                 Lung cancer   \n",
       "2014-06-01                                 Lung cancer   \n",
       "2016-04-20                                      Cancer   \n",
       "2016-04-20                         Cancer (pleiotropy)   \n",
       "2017-02-21                      LDL cholesterol levels   \n",
       "2017-06-12                                 Lung cancer   \n",
       "2017-06-12                Squamous cell lung carcinoma   \n",
       "2017-10-23  Breast cancer (estrogen-receptor negative)   \n",
       "2017-10-23                               Breast cancer   \n",
       "\n",
       "                                          INITIAL SAMPLE SIZE  \\\n",
       "DATE                                                            \n",
       "2013-10-06               94,595 European ancestry individuals   \n",
       "2014-06-01  3,442 European ancestry adenocarcinoma cases, ...   \n",
       "2014-06-01  3,442 European ancestry adenocarcinoma cases, ...   \n",
       "2016-04-20  5,020 European ancestry lung cancer cases, 3,7...   \n",
       "2016-04-20  5,020 European ancestry lung cancer cases, 3,7...   \n",
       "2017-02-21  32,285 East Asian ancestry individuals, 173,08...   \n",
       "2017-06-12  29,266 European ancestry cases, 56,450 Europea...   \n",
       "2017-06-12  7,426 European ancestry cases, 55,627 European...   \n",
       "2017-10-23  14,135 European ancestry cases, 58,126 Europea...   \n",
       "2017-10-23  76,192 European ancestry cases, 63,082 Europea...   \n",
       "\n",
       "                                      REPLICATION SAMPLE SIZE   REGION  ...   \\\n",
       "DATE                                                                    ...    \n",
       "2013-10-06               93,982 European ancestry individuals  13q13.1  ...    \n",
       "2014-06-01  3,589 European ancestry adenocarcinoma cases, ...  13q13.1  ...    \n",
       "2014-06-01  3,589 European ancestry adenocarcinoma cases, ...  13q13.1  ...    \n",
       "2016-04-20                                                NaN  13q13.1  ...    \n",
       "2016-04-20                                                NaN  13q13.1  ...    \n",
       "2017-02-21                 8,478 Chinese ancestry individuals  13q13.1  ...    \n",
       "2017-06-12                                                NaN  13q13.1  ...    \n",
       "2017-06-12                                                NaN  13q13.1  ...    \n",
       "2017-10-23  7,333 European ancestry cases, 42,468 European...  13q13.1  ...    \n",
       "2017-10-23  46,785 European ancestry cases, 42,892 Europea...  13q13.1  ...    \n",
       "\n",
       "           INTERGENIC RISK ALLELE FREQUENCY       P-VALUE PVALUE_MLOG  \\\n",
       "DATE                                                                    \n",
       "2013-10-06        0.0                  0.48  2.000000e-11   10.698970   \n",
       "2014-06-01        0.0                0.0105  5.000000e-20   19.301030   \n",
       "2014-06-01        0.0                 0.011  2.000000e-19   18.698970   \n",
       "2016-04-20        0.0                    NR  8.000000e-12   11.096910   \n",
       "2016-04-20        0.0                    NR  5.000000e-10    9.301030   \n",
       "2017-02-21        0.0                 0.462  5.000000e-14   13.301030   \n",
       "2017-06-12        0.0           0.010904125  6.000000e-16   15.221849   \n",
       "2017-06-12        0.0           0.010732274  1.000000e-15   15.000000   \n",
       "2017-10-23        0.0                  0.01  2.000000e-13   12.698970   \n",
       "2017-10-23        0.0                  0.01  3.000000e-15   14.522879   \n",
       "\n",
       "                       P-VALUE (TEXT)  OR or BETA  \\\n",
       "DATE                                                \n",
       "2013-10-06                        NaN    0.024000   \n",
       "2014-06-01  (Squamous cell carcinoma)    2.470000   \n",
       "2014-06-01          (All lung cancer)    1.830000   \n",
       "2016-04-20                        NaN    1.600000   \n",
       "2016-04-20          (subset analysis)         NaN   \n",
       "2017-02-21     (Trans-ethnic initial)    0.024300   \n",
       "2017-06-12                        NaN    1.603498   \n",
       "2017-06-12                        NaN    2.125263   \n",
       "2017-10-23                        NaN    1.580000   \n",
       "2017-10-23                       (EA)    1.350000   \n",
       "\n",
       "                                          95% CI (TEXT)  \\\n",
       "DATE                                                      \n",
       "2013-10-06                           [NR] unit increase   \n",
       "2014-06-01                                  [2.03-3.00]   \n",
       "2014-06-01                                  [1.61-2.09]   \n",
       "2016-04-20                                         [NR]   \n",
       "2016-04-20                                          NaN   \n",
       "2017-02-21  [0.017-0.032] unit increase (EA Beta value)   \n",
       "2017-06-12                    [1.430101714-1.797917759]   \n",
       "2017-06-12                    [1.768050378-2.554646438]   \n",
       "2017-10-23                      [1.35-1.84] (Oncoarray)   \n",
       "2017-10-23                      [1.23-1.48] (Oncoarray)   \n",
       "\n",
       "                            PLATFORM [SNPS PASSING QC]  CNV  YEAR  \n",
       "DATE                                                               \n",
       "2013-10-06                           NR [NR] (imputed)    N  2013  \n",
       "2014-06-01                Illumina [8900000] (imputed)    N  2014  \n",
       "2014-06-01                Illumina [8900000] (imputed)    N  2014  \n",
       "2016-04-20    Affymetrix, Illumina [9916564] (imputed)    N  2016  \n",
       "2016-04-20    Affymetrix, Illumina [9916564] (imputed)    N  2016  \n",
       "2017-02-21  Affymetrix, Illumina [~ 1900000] (imputed)    N  2017  \n",
       "2017-06-12               Illumina [10439017] (imputed)    N  2017  \n",
       "2017-06-12               Illumina [10439017] (imputed)    N  2017  \n",
       "2017-10-23             Illumina [~ 11500000] (imputed)    N  2017  \n",
       "2017-10-23             Illumina [~ 11800000] (imputed)    N  2017  \n",
       "\n",
       "[10 rows x 34 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwas_date_sorted2[(gwas_date_sorted2[\"MAPPED_GENE\"] == \"BRCA2\") & (gwas_date_sorted2['P-VALUE']< 0.000000001)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "g=gwas_date_sorted2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Όλες οι γραμμές που έχουν χρωμόσωμα που ανοίκει στον πίνακα ['1', '2', ... '22', 'Χ','Υ' ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "g3 = g[g[\"CHR_ID\"].isin([str(x) for x in range(1,23)] + [\"X\", \"Y\"])]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Πόσες γραμμές ανά χρωμόσωμα έχουμε;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6     6067\n",
       "1     5529\n",
       "2     5039\n",
       "3     4122\n",
       "4     3554\n",
       "5     3485\n",
       "11    3348\n",
       "7     3035\n",
       "12    2912\n",
       "8     2791\n",
       "10    2755\n",
       "15    2534\n",
       "9     2512\n",
       "16    2318\n",
       "19    2177\n",
       "17    2130\n",
       "14    1640\n",
       "20    1440\n",
       "13    1405\n",
       "18    1278\n",
       "22    1091\n",
       "21     550\n",
       "X      372\n",
       "Y        2\n",
       "Name: CHR_ID, dtype: int64"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g3[\"CHR_ID\"].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ποιο είναι το πιο χαμηλό p-value ανά χρωμόσωμα;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CHR_ID\n",
       "1      0.000000e+00\n",
       "10     0.000000e+00\n",
       "11     0.000000e+00\n",
       "12     0.000000e+00\n",
       "13    9.000000e-256\n",
       "14    2.000000e-188\n",
       "15    1.000000e-300\n",
       "16     0.000000e+00\n",
       "17    2.000000e-298\n",
       "18    3.000000e-200\n",
       "19     0.000000e+00\n",
       "2      0.000000e+00\n",
       "20    2.000000e-200\n",
       "21    4.000000e-104\n",
       "22    5.000000e-178\n",
       "3      0.000000e+00\n",
       "4      0.000000e+00\n",
       "5     5.000000e-274\n",
       "6      0.000000e+00\n",
       "7      0.000000e+00\n",
       "8     5.000000e-217\n",
       "9     1.000000e-312\n",
       "X     1.000000e-247\n",
       "Y      9.000000e-07\n",
       "Name: P-VALUE, dtype: float64"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g3.groupby(\"CHR_ID\")[\"P-VALUE\"].aggregate('min')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Μπορούμε να σώσουμε ένα pandas αντικείμενο σε csv (ή κάποιο άλλο φορμάτ):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "g3.to_csv('results.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Και σε excel. Για να γίνει αυτό χρειάζεται το πακέτο xlwt:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting xlwt\n",
      "  Downloading xlwt-1.3.0-py2.py3-none-any.whl (99kB)\n",
      "\u001b[K    100% |████████████████████████████████| 102kB 546kB/s a 0:00:01\n",
      "\u001b[?25hInstalling collected packages: xlwt\n",
      "Successfully installed xlwt-1.3.0\n"
     ]
    }
   ],
   "source": [
    "!pip install xlwt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "g3.to_excel('results.xls')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ένα άλλος παράδειγμα:\n",
    "Από όλα τα studies που έχουν το Breast στο DISEASE/TRAIN και έχουν PVALUE<10^-10, βρες το χρωμόσωμα που έχει τα περισσότερα studies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'5'"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g3[ (g3[\"DISEASE/TRAIT\"].str.contains('Breast')) & (g3[\"PVALUE_MLOG\"]>10)].groupby(\"CHR_ID\")['JOURNAL'].aggregate('count').idxmax()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Αναμενόμενο αφού το BRCA2 βρίσκεται στο χρωμόσωμα 5\n",
    "\n",
    "Να και ένα pie-chart με την κατανομή των studies ανά χρωμόσωμα:\n",
    "\n",
    "**ΠΡΟΣΟΧΗ!** Ποτέ μην χρησιμοποιείται pie-chart σε (σοβαρές) ανοφορές/paper. Διαβάστε [αυτό](http://www.businessinsider.com/pie-charts-are-the-worst-2013-6) και [αυτό](https://blog.funnel.io/why-we-dont-use-pie-charts-and-some-tips-on-better-data-visualizations)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x12b0d2550>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g3[ (g3[\"DISEASE/TRAIT\"].str.contains('Breast')) & (g3[\"PVALUE_MLOG\"]>10)].groupby(\"CHR_ID\")['CHR_ID'].aggregate('count').plot(kind='pie')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW8AAADuCAYAAAD2p4bdAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzsvXdYXOeZ9/+9z5nCMMBQRS+iCJBAQr03O67YSZzmeJ3E\n2djpTk82ypvs7uzm50Qp3niT7LvJm9ixNokT2xt3uUaykIQqkpCQBKqAANHrAMOUc+7fHzPISKJM\nOdPgfK5rLpgz5zzPjTTznefcz12ImaGioqKiElkIoTZARUVFRcV7VPFWUVFRiUBU8VZRUVGJQFTx\nVlFRUYlAVPFWUVFRiUBU8VZRUVGJQFTxVlFRUYlAVPFWUVFRiUBU8VZRUVGJQFTxVlFRUYlAVPFW\nUVFRiUBU8VZRUVGJQFTxVlFRUYlAVPFWUVFRiUBU8VZRUVGJQFTxVlFRUYlAVPFWUVFRiUBU8VZR\nUVGJQFTxVlFxQ0RPEVEXEZ2ecOxnRNRARKeI6EUiig+ljSoq46jirRIyphDLH7qFspaI3iaijCCa\n9DSAO2849g6AMmZeDOA8gO8F0R4VlSlRxVsllDyNm8XyZ8y8mJkrALwG4F+CZQwz7wXQd8Oxt5nZ\n6X56CEBWsOxRUZkOVbxVPGKyVfKE175FRExEyd6MOYVYDk14agTAPhkcGD4D4I1QG6GiAqjireI5\nT+PmVTKIKBvA7QCuKDURET1GRC0AHkQQV97TQUTfB+AE8OdQ26KiAqjireIhk62S3fwCwD9BwRUy\nM3+fmbPhEspHlRrXV4jo0wDuAfAgM4fTnYDKHEYVbxWfIaIPAGhj5pMBmuLPAD4coLE9gojuhOvL\n6f3MPBpKW6Zjis3fjxLRGSKSiWhFKO1TUR5VvFV8goiiAfwfKOzWIKKiCU8/AKBByfFnmPsvAA4C\nKCaiViJ6GMCvAcQCeMcdAfObYNnjJU/jZrfWaQAfArA36NaoBBxNqA1QCRxE9BRct/tdzFzmPmYG\n8FkA3e7T/g8zv+7D8AUA5gM4SUSAKwrjOBGtYuYOD+37C4AtAJKJqBXAvwK4m4iKAcgAmgF8wQfb\nfIKZH5jk8JPBmt8fmHkvEeXdcKweANz/PyqzDFW8ZzdPw7Vy/J8bjv+CmX/uz8DMXAdg3vhzImoC\nsIKZe7wYI2LFUkUl1Khuk1nMNJuMXjOFS0FFRSVEqCvvuclXiOhTAGoAfIuZ+2e6YIpV8sTX8xSy\nTUVFxQNU8Z57/DeAH8IV2vdDAI/DlXwSsdSXlBoBJACIAxAFQA9A5/458ffxnwRAcj+c7p92ADb3\nY8z9GATQD6CvtKHeEby/SEVlZkgNW53duDexXhvfsPT0tVDy+P33EIAUuDZBswBkao33GkVdUTFc\nfvaUxL6zbRWn/mszgHgA2iCYNQKXC6rf/Rj/vRtAG4BW98+Wj31P01n3UJ0cBJuuMXHzF0AnXJu/\nfQB+Bde/5QCAWma+I5h2qQQOdeU9xyCidGZudz+9D65wsqDz+P33GACUAljofszHe2KdAdcq+RqS\n49IeUVe0Zfy5JSb7BFyiFCyM7kf2dCc5RDQCyCzfUd4CoGnCoxFAPYCzdQ/VjSlt3DRurReVnksl\nPFDFexYzRSjeFiKqgMtt0gTg84G04fH779HBJc5lABa5H+Ni7fGGuexoiZ743KE15ihopmJcyEAL\nXH9bgftxI1L5jvKLAOpueFwO9mpdJbJRxXsWE+xQvMfvvycKwGIAywEscz/KcMMq2ifYkn/dcxKS\nbLq4Hr19yKtiWIHm3cWCYYZTRADF7sdHJhwfLd9RfgbviflxAEfrHqqzBsRQlYhHFe8QMlkSjfv4\nVwB8Ga6NtJ3M/E8hMnFaHr//nhwAtwLYCJdgL0Tg3lPJstTbLIhJueMHBuPyr8zrqQ0b8WbAfqiE\nFvp4eTSAle7HOI7yHeW1AKoBHABQXfdQ3VU/zVSZJajiHVqexg1JNES0Fa608CXMbCOieVNcG3Qe\nv/+eVAC3THjkT3+Fssj2iy2C4T3x7k9YMDyvpzaYJkyLxYCzNh1VKDikFu8J+tcBoHxH+SUAe8Yf\ndQ/VtSo4n0oEoYp3CJkspRnAFwFsZ2ab+5yuYNs1Tuu2fdEAth7reWfZRcvx++HyV4cMyXFZ1hhW\nX3s+FDc/rPK+TxTQYBCmGfelPwwA5TvKL8PV7edVALsCsRmqEp6o4h1+LACwkYgegyvW+NvMfDRY\nk5vN5hy4XDn3ztPF6d5vX3nL0qRbWhuH6xIkDm2oM0vdaROfjxpSEkNly2TsqhBSQzBtPlybzp8H\nMFK+o/xtAC8DeK3uobreENijEiRU8Q4/NAASAayB63b5OSLKD2QdabPZvByusMF74dpwBAB0CUO4\nKLTXFMrpKzalfrTq3Y5nNgfKBs9wFjLbLET6WACQxKhcBphcSTchRQZ6GrJQHGIzjHD9P94HV1TL\nAQCvAHi57qG6CyG1TEVxVPEOP1oBvOAW6yNEJMOVeNE9/WXeYTabcwF8wv0omeq8Ku3ZrCxb8kBK\nVNamNMP8Ux3WxsVTnRsEBNnRfEHULVgGACCKsRrmtURbu6aNvQ4GV5NwHkTrQm3HBES4NpI3AvhZ\n+Y7yBrhW5M/VPVR3PKSWqSiCKt7hx0sAtgJ4l4gWwBVm53Glvukwm83xAD4Kl2BvhAcrViakvaar\nOfAR+9p1G1I/FPtC8xNjMktRStjjC5L94pCoW3Dt+YCpoD0cxLt6oRDuqcol7sd3y3eUnwbwRwB/\nUqNXIhdVvEPIFEk0TwF4yt0RxQ7gIX9cJmazWQvgLgCfhMstovd2jAFhdN0ZseXgIil77fp5H9yz\nr/NvW3y1x19kZ0vMxOf98UWjGR0HQ2XONfYspskScsKVMgA/AfDjlX9Y9NKh5tbnReBFmAdtoTZM\nxXNU8Q4h06Q0f8Lfsc1mcwWARwDcD5fbxS8Oas4vmC/N6043FGxI1mfW99jaSv0d0yd4pJCZmdwd\nBiyxuf4nAPmJXYOLvXFUGGo7vIZ57Ned3cUi8BcAfTCb/gTgdzAPhqRkgop3qOI9izCbzSJcm1Vf\nhcstohyEpJf1NUcesK1P2Zx2v/BC8xMOhhyMglA3Es9Sz2XSpOQDwFhUYjDrm0xKQxa1AYgs8WZ2\nPtbTe2b1mG08KSgRrvfNV2E2HQbwSwDPwTzoDJmNKtOiNmOYBZjN5kSz2bwNruJHz0Np4XYzQmOr\nToiN1RpBW7w6pbI6EHN4guy4eM1PKwvaPJmEkMYw7l5CMTOfFV58eWDw0PuHR1dO8fJquJo/X4TZ\n9HWYTRH3980FVPGOYMxmc67ZbP4lgCsAfowZKt4pwTHN5TILWa/mGEvXxevmXQr0fJMhOS6/twdA\npB02ZjaHwg4AYGCspsjnlPiQ8H7LcNUXBoY2eHBqLoBfALgCs+lHMJvSZrpAJXio4h2BmM3mCrPZ\n/AyAiwC+Ald8b3AgmF7WHe0AQbs1/QErXI2CgwpLPekTnw/EF4UsC3UwGmftWpqpGFXYsNw6VvVY\nT5+38foJAL4HoAlm0+9hNk0ZWqoSPFTxjiDMZnO52Wx+DcAJAA8gRHsWY+RYdlhzYZ9OiCpbnnTb\nvuBbIBWwPHYtFX0gvihkbpOaIrKEam5vyXE4Dj7V0eWPS00PV1r+WZhNr8BsmsrtohIEVPGeAiJ6\nioi63CF748eeJaJa96OJiIJSFclsNueYzeYdAGoBVAZjzpk4Lbas6KeR5oLYpStjtYnBdluQ7Gy6\nOP7EEpMVspXvrgohI1Rze0OCJJ14sbV9maDMZ57gCjs9ArPpOZhNkRQmOWtQxXtqngZw58QDzHw/\nM1cwcwWAvwF4IZAGuDciHwdwHsCnEE7/X4ToV3U1QyBE3ZL+YB9czR2ChmS/ODz+u11nSp/u3EAh\nE7ouZVBRKOb2hihZPrez5WqBzocYfw/4KIB6mE2/gtkU8sifuUT4iEGYwcx74eoBeBPuGOOPwRUf\nqzhms9lgNpu/B+AygG8iMB86v7GTs3yfpn5flBi9tDxh0/5gzi07W69FQDAJWU5RPzzd+YGgNRlh\nXy9EZG59rbU9PpY5LoDTaAE8CuASzKYfwGyKnukCJZji7jiRiN4hogvunwnBsCUUqOLtGxsBdDKz\noh9es9ksms3mRwBcAPAjACYlxw8E58X2Nd00dKHUtGZJtCaufeYrFIJHC69lnhLRUGxu0CNO9paF\n98eHmHv/t63DkSpJwap2GAvgh3CFGH4OZpMY4Pmexg13xwC2AdjFzEUAdrmfz0rC+90XvjwAhVfd\nZrN5C4BTAH4HIFPJsQMKQb9Td0xiYsOt6Q8GszGAiaWua6GKA/FF/UGcGwxwVRktmPnMEME8+ruO\nro5Ch2N+CGZPB/BbAHUwmwKScwBMeXf8AQA73L/vAPDBQM0falTx9hIi0gD4EIBnlRjP7dd+CsC7\ncLURizicJJfs1p6ujtbErSwxrQ5a8o7kuHBtpT9gKpCCNS8A2LQ4PxhD4enjfS97MqTNMwCUAqiC\n2fTfMJsC6baZSCozj78vOgCEosZ6UFDF23veB6CBmf1eZZrN5k8AaADwj35bFWKahO4N7dR/dnHC\n5tIo0aho+dqpkB2N16oijhjTgyUOAID6bOoI5nzeMEP2ZLAhAF8AcAZm073BnNjtVgv3ao8+o4r3\nFLgr/h0EUExErUT0sPulj8NPl8mu3QXZf99V8OqC4uqHAXl2bKgQNG/qavUSydG3pP/DxZkv8B+W\n+q6F6Tm0MVnBmHOc3UsoqF8WnnKvZXiPh9mTwSYLwCswm/4KsymQfVk7iSgdANw/Q5bAFWjmlHhP\nsTtdQUSH3LHbNUS0CnBV/GPmdGbWMnMWMz/pPv5pZv6Nrzbs2l3wGQCniXBPaurlLevWP3sxNq7r\nnN9/XBggkVzwtvbk4Vht4tr82CWHgzDjfJatLl83CSl2bawidc9ngoHRY4XhlxK/3DpW9aOevi2h\ntmMG7ocrtPBTARr/FQAPuX9/CK4GFLOSOSXemHx3+qcA/s0du/0v7ueKs2t3Qcqu3QUvAXgSwLVV\nmyg6S5Yseatg4aLde4ikiK+nfFXo33hF6Dm5Iun2PK2gD3RDXpIdjddW+YOm+UHZMO2PwVmnhsIq\nfFOB7MlgkghgB8ymN2H2PUZ/irvj7QBuI6ILcLk4tyticRgyp8R7it1pxntiagKgeGeRXbsL7oAr\nkuQDk71OBE1SUtuWdev/ejUhoe2U0vMHFYLwjvZUopNk49a0B+oCPZ3kuDgy/nt//IJgdG/HkQU0\nGox5PEXh7MlgcgeAWphNt/ty8WR3x8zcy8y3MnMRM7+PmSfN1ZgNRNp/diD4OoCfEVELgJ/DVYBH\nEXbtLtDs2l2wHcAbAGasyCYI8vxFZbvLFy95c68oOoKedKIUTJz9uu7EiQR96oZsY8mxQM4lO9uu\n3cUMxs0Pyvt59xIhbEI5A5w9GQzmAXgTZtOPYTap/QW8QBVv4IsAvsHM2QC+AZdbw2/S3q1N+xx2\n/PUw1t4GL7qbE4FMpu5Na9Y+O5CS0lijhC2hoFsY2nhR6KhZk3JPqoa0gfsiYmsRsywBgDV6XnzA\n5nEjEdqb0sKj5VmQsieDAcGVTPOuP26UuYYq3q5NjfEaJc8DWOXvgGnv1q4HcHyEYj78S/r2si/j\ndzWXke9VNqYgcFZJ6f4Vy5a9Wq3RjAU1AUUpqrRnsuwkx2xK+2ggV9+xLHVeBACnaMgL4DwAgOZ5\nCEkN8xsJQfZkMNgA4DjMpnCMlgk7VPF2+bjH6xvfAvhXryLt3dpH4Uq4ubaCGKDEFf+Mn+b/AD/d\n34fETm/GM8YMrF+z9nlnekbDIX/sCgXuzvNnk/VZm9IM+QHz5Uv2C65/U6JYa1RyQDct95YJgU75\nnpnQZk8GmjQAu2E2fTXUhoQ75Edj8ohjYrd2AJ1wdWs/B+A/4aqNPQbgS8zs9Uox7d1aEa6uI1+Z\n9kTmkVU4VPN5/GpFFGxeNVGwWmMOnTp5R77dHh3IOFnFWecoPlTsTEt9ofmJdJmlKKXHJyG5Wm/6\n1HoAKG34n6PpHYcDkqDCgPzI18QBSzQlBmJ8z4xg52M9vSfCKAknkPwGwJdhHgx6w49IYE6tvKfY\nnd7PzMuZeQkzr/ZRuI0AXsJMwg0ARMYjtHbzI/jTyHN4YJ8MweO0boNheM2q1X/T5eSeDGoFP385\noDlXZCMpZv28+wJy98By37UEnX7TgoBFgozp0BBS4UbYZU8Gmi8AeA5mU6RuxgaUOSXegSDt3doU\nAHsA3OPNdUzCvJfpIxs/gz837sPmo55eR4T43NxTG1avef5YVNRQMAtB+Q4h6RV9zeV0Q/6GZH1W\nvfITyLksj/QAwFBcbsAiFk7nUkiz9cI4ezKQfBiuaJRI35RVHFW8/SDt3do8ANUAVvg6hoN0hb+h\nr678Ip46fh7FDZ5ep9ONLV+x8uWEgoIjewEO+9vKYRpbXatpOrw57WMiQflu75Kj8TIAjEUlBaxY\n1K6K0K26IyR7MlBsgavAldoAeQKqePtI2ru1ZQAOAFCkk8oQmZb9Gx4r/i7+o7obKR4lChHBmJF5\nbtPadc+eMRr7wiIKYjqOaS6XWUVnzOqUSsUrD8qOC1YAkAVtnkyCU+nxGbCcnE+lSo/rCRGWPRko\nKgBUqy3X3kMVbx9Ie7e2HDdElCgCEbVS7vqv478Tf47vVY0iesiTyzQaR/nSZTuzikv2VQGy4sKl\nGATTK7qa9mxjydoEXaqixatkZ7urcQWRbsSYoXhjhp441EsiaZUedyYiOHsyEOQDOACzaVmoDQkH\n1DeEl7hX3LvgilgJDERRJ2jF5s9hh/2P+HSVhJlXkkTQz5vXtHnd+r9eiovrDIBfWRmsZF9+VHvp\n8Nb0B2wAlHP38NgCZtcX14CpUHHf9OFiGlN6zJmYBdmTgWAegF0wm8pDbUioUcXbC/K27SzRHu3+\nCQ07glLbgklIfpPu3fwZPNOyC7d5VKVPFKXixUveXrCobNceEpxBFxxPqBOvLB8WnTHLk27fp+Cw\n0Sy1XwCA/vgiu4LjAgB2Vwi5So85HbMoezIQxAN4C2ZTXqgNCSWqeHtI3raduQDeEfvsd+uqu3L0\n77YfE1tGDoM54B1cnKSd/xR9YfXnsOPUWSw6M9P5RBATE69uWbfu2Y7ExNaTgbbPawjGV3U1g/mx\nS5bHahMVc3FI9gvdADAck6VoLLlTQEtrMgVNvGdp9qTSpAN4J8C1wcMaVbw9IG/bzjQAf4eroDwI\nILLLy7VnB1br377apa3t24MxZ8A7q4xQzOLH8G8Lv4VfHmhHestM5wuCnLdw0buLl1S8sVcUHZZA\n2+cNdnIu3q9tOHZr+oP9UKjbiexoEgHApo9XNCqhMRVNSo43LbM7e1JpCjGHwwhV8Z6BvG07DQBe\nheuNchMEpIud1i36qs5k3d6OQ0L76HEEMm2ViDooc9238avUH+FfqoYRMzD96aC4uJ5Na9c9a0mZ\ndzmsCl2dF9vXDGmcxsUJmxVxn7A8kAMATGK2JOgUc21VlQvB2agMn96TkcRSAC/PxUSeiBLvKTrh\nLCGig0RUR0SvEinenupJeBDHTYBGsEprdKf6l+nfuXpFc7p/D2xSr8K2TJiQdGdoyebP42k8hc9V\nOaGZ1s9LxBklJdUrli1/5YBGMxYeNY4J+p26484i08qyaE1c+8wXzISczfJwN4iEodicJv/HAxiQ\nqhcGJ0RwjmVPKskWAH+B2RT6ujNBJKLEG5N3wvk9gG3MXA7gRQDfUWqyvG07twF4wNvriJGraRvd\not/TEaPb33lA6BkLXIMFovhddMfmz+DPHW/gngMznW40Dq5bs/Z5OSOzfsZzg4GTpNI9ujOnbk3/\nhCLZopLj0mUAGIgvUuQLalSP+hEDmZQYazrmaPakktwH4PFQGxFMIkq8p+iEswDAXvfv78CVTus3\nedt23gPgMX/GIEAvjDjX6Y71Lta/c/WCpmFwLxyyR7Hb3iKRJudP9I/rHsEfz9Ri6bRfFkRILiio\nWbdy1QuHdbqRkHdBbxK6NwxqncYS02q/k3dk+yUrAAyYChXZSD41nwJ39+RmjmdPKsnXYDZ9KNRG\nBIuIEu8pOIP32ot9FEC2vwPmbdu5EMAzUPDfh2Qu0jQPb9Lvbhd0B7v2Ub/N41R4b7BS9KKf0Q8W\nfx3/91ArspqmOzcqamT1qtUvGHJza5UM2fMed+f5hQnr86NEY7c/Q8lSeyIAjBjTY5QwbdcSSlJi\nnKlQsycV5ymYTXNis3c2iPdnAHyJiI4BiAXgV4xv3radcXB1nI5VwLabICBGGHJs1B/pKdH//eoZ\n8dLQfkhsVXqebkpd8108kfnv+GHVEOKmXD0SwZSTW7dx9ZrnThgMg1eUtsNTJJIL3tHVnb8l/R/8\ny7xk2wJmyWHXxWbNfPIMQwGDp/MC5++Ol6RaNXtScUxwVSLUhdqQQBPxbxpmbmDm25l5OYC/AH53\nOvk1pogsURqSeJH2omWD/u9Xbdqj3VVkcTQqOwFpz9HCzV/EU9rf4NE9dminTNrR6WxLl694Jbmw\n8HBVqApdXRX6N/br5eiC2Ap/SsdGyc6r50FCqkNj9KsDUVc86mWBArIJFiXL515vuZqvZk8GhBUA\nfhZqIwJNxIs3Ec1z/xQA/ACuAu4+kbdt5/0APqmQaR5DQLzYZ9+sP9A1X7+7vVZsHj4ImZWrvEcU\nt4+2bnkYf+59GR+q5iniqokQnZ5xfvPadc/WG2N6Fa094hEE4e/aUwllSVvTdELUtCGQ0yE7LvQA\nwKAp3687iYMlpHj1Q0DNngwSX4XZdF+ojQgkESXe7k44BwEUE1ErET0M4AEiOg+gAa6WZn/wZey8\nbTszAPy3Ysb6CDnkCm3D4Fr9O1f7tcd7q2jUqVjNbpnEzOfowfUP408NR7H6xFTnaTSORUuXvp5T\nUrq3ikgOiIBNbSPnvKU/eWVL2sdPz3z2FGM4mrUA0B9fNOiPLbuWCIr7TtXsyaAyq/3fAStcHwiY\neaqwvf9UYPjfAEhQYBxFIGCe2D02T+gek6EXjzqLYiFlRC+H6w7DL2xkKH0C/4QE7j36bfw4MQ+N\nN5XZJIIuJaV5c2Ji64Uzp29xDA6mLfR3Xk/pFoY29Rm4JsdYWnNlpN7rWuksD+QBwKApn3y1wSGg\nuTNR4ZT497In1SSc4BAP4LcAbg+1IYEgolbegSJv284HAdwbajsmgwCBbNJK7emBlfp3rl7Vnuqr\ngk3yKyJjnH5KWvl9/Czvn7F9Xz8SJq3EJ4pSUfnid4rLyv9eJQhOxTdWp2KP9kzm4pTbjBrSDnt/\nNWewPNQ+akiN93X+SxlQtqysmj0ZKm6D2eR1rkYkMOfFO2/bzngos3IPOMTIEtutm/V7OuJ1+zoO\nCp3WKV0fng9K4mUq2vgofhf9K3xjjw36m9LKiSAmJLRvXrvu2a7EpJZav+f0ACakv6E/2b8p7WPH\nfblesl9qcmoMOb7O/+5iQdHiVmr2ZEj5Bcwmn7/Iw5U5L94Avg8goLG8SkOAVhiV1upq+5bq325r\n1JwdqIJd9nmDzzUoxRyiDVsexh+H/hf375NBN0WcCIKcu3DhniUVS1/fJ4r2gCQbTWRAGFnXHc3a\ndEO+15URZcclO4hM1qhEr9PuGXAcKlEuRFDNngwNzBju5Phjzzs3Ndxr+/8Uy7wOFyiQNZTCnbxt\nO/Pg2uiM+HAtBqwcqz3mLDYlyEl6v2/NdWy78Aj+e3A99k3qc2am9vPn17R0dRau8neuaWH0fHRs\nVdvbzb8tllnyfDVMutNR8Y+WLax/uiat86hXfnNLFE49/A3NYq9tnYTl1rGqpzu6Nisxlsr0MGOk\nG6aGffLi4RelDUkH5YUlEsTxfT0ngMVN2yvDtlGJt8x18X4GPtQuCXdYpAYpx9jtzI9dBo1g9Gcs\nEw8c+ya2xxTiQvFkr4+Oxh04dfL2YofDELC7lxg56vDmgTTr3s7/3eLFZXZ9/Fc5o+PIodJzf/ZK\nPPctoj2/er/ozVyTkuNwHHy1tX21moQTGJgx0gPTuX1yucUt1sVOaKarAPlG0/bKu4NmYICZs+Kd\nt23nCgBHAPgckRDuMDDE8bpaR4kpnU063xslM8s5aD74Lfw4Pxk9N/XtZEZvY+Oyc22ti9b5ZfA0\nLHfk7+tvPZDUPdbqcdSLNubDdXE2zdDqmh+t92Yu84Pi2bM55Fd0Tbwk1e660laqJuEoBzNGe2Bq\n2C+XWV6QNiYelBeWzCDWk3FX0/bKNwNiYJCZy+K9B8CcuZ1lDZ1yzo8dlnJjlkMk3wSF2bocRw9/\nEb9cboD1pvIBtrHoIydP3pFts8Uo25gZABiDH7Qubdjd/OQyhuzRB1bULa7SR21M3bLvmyWeTiMD\nfQ9sE+PZj5DMKFk+t/tKW7qahOMfzLD2Iq5hv1w29IK0MeGAvKjUB7G+kcNN2yvXKGJgiJmT4p23\nbef74KpAOOdgoFdO0p92lpjyOEbrUxwzsdx9N16pvx9/XidCvi5XgBlDra2LTjY1Lt0AkKJ3NQbW\nHdvQm2Q51P3qFo/sFEyH9HGfqdha9RUtgT1Kc7+aiINf/7xmra82isytb7Vc1apJON4zLtbV8qKh\nF6WNCdVyWYkDmkDUKFnbtL3SnxIMYUFEJekoyLdDbUCoICBJ7LVtFqq7GDrhuLMwzi5lRq+AQB6/\nF5iElJ34YMpbfPflT+P3PVux69qmJRHisrPPbExLu1h7svaOBKvVpFiii5Xsy9tN4p6EwdSL/fbO\nGevPsDyUB6KoEWN6Y8zIVY8y7aoXktNX+yZkT/pdFGsuwIyxPsQ2VMtlAy9KGxL3y+UlDmiWBmHq\nrwP4eBDmCShzbuWdt21nOYDANUeIQBhol1OjzjmKTcUwaLx2ecTwUO3X8TNdKc5e5ydmhrWzo/DI\nhQurNwCCMgWeGCN3W8uO7W/esZ49WE3r4h5uK7n0ZkvW1b0e3Sp/6Utie4+JvHf7MI/+vqOrUU3C\nmRq3WNdXy2VDL0nrE/bL5cV2aEOxJ+AEML9pe6VipSdCwZwT795/zXp8gGPW1HKhY79UFn1ELslu\nQ4qiDWvLI/WAAAAgAElEQVQjFQYkjhJrnAviNHKaYRnIC7cHM2eg7eC38aOcVHRet/J0OjVn607d\nph0eTvZ903QCOtacWtsd03u89+9bZzpXY9h8MH2IbOVnn9wy07l2EZc+8U+am0oFzIgre/KEmoRz\nPcyw9SO2/oC8aPBFaX38PnlxSYjEejJ+0rS9cluojfCHuSXeri7TVwFcFz4nM/UNIObKOTlr8DCX\nitVSWdIpzp9vg07RLLtIggnNUkZ0k7Morgx60fMwQGZbOWoPfQW/qDBixPTeYTh6e3IONDRsWMss\n+u3HLHKm7R5pOlhgcfRO65YhTVaVSbNVv+6wecaV9+kc2vvvD4qbvLXly/0D+9UknHGxjmk4KC8a\ncIt1cRh/hvoAZDdtr1SsUXWwmWvi/WW46nXPCDMkO7RNrZzcVcuFtmppkfEIl2a1corykRRhDAM2\nNmpqnMWmWDklyuPEFWK57314s+4TeHqdBtK1CAFZFi6dOX2LdWAgvcxPw2y3jBbtP3rlL7dg2nBP\n7VmD6YuGrXu/NqPP+1f3CDX7ygWvEnrutYxU/aind85ELU2EGbYBxDQclBcOvCRtMFXJi0vCWKwn\n4wtN2yt/6+vFRPQUgHsAdDGzf+9nX+afY+J9CkC5P0PIjP4BxFw5z9kDh+USsVoqSzzF+fPHoDco\nZGXYwgIuSNnGdmdBXAW0gkdhcCI7mj+BHVdvxxvXIjiYIQ8Opu47c/qWlbKsifbVHg2L9cs7tV1n\n+/dPJ54OvelR25b939GIsnNKYWHA9slvi5JdSx7bs2xsrGpH+9zJnmSGfQDGhkPywn63WBdH+Pv+\nbNP2Sp/3KIhoE4BhAP+jincgMZsWAfC5RvR0uFbpmuY2Tu6s5ULbAXmR8ZC8MLOVUzICMV+oYWCE\n47THHSWmZE7Qe1QDJJpHTn8VP+dynLr25SnL1NLQsLG7tyd3ma+25DgTd9kaD5eOOgen/LfWxnzw\n1Mq6F3XxQ5enjPcejMaJz37N80iHuZA9yQz7IIwNh+TS/pekDXF75CUlES7Wk7G4aXtlna8XE1Ee\ngNdCId5zKVTwzkANTARRD2d+PnXk56MDHxL3AwBkxsAgYprPc9a1VfpJLoj4VToBRnL14QSLdNaZ\nF9MnzY9dDpGm/LtGyVi2Hf+Kedxx6Dt4LD0DV3MFgbMXLtybbbEk7qs7ddtiSdKZprp+Kq6IfZvX\npd/y97qWF6cUb9l+oW8gvkgTP3R5ynGOF5LHhbZma+9JZjiGYGw4JJf0vShtiN0jV5SOQa9IjZcw\n5oMAfBbvUDKXVt7vAHhfqM1ghmyHpvkqJ3fUcoHtgLzIeFguzbjCqZmhts0fGBiUE3S1ztL4bI7V\n5k9/MjtKcebgV/HzsjhYEl2HqOPihdXNHR1Fq72dW2ThUnm7fPXSYM2kXdhJiDucLq0bqzj1X1O6\nOH7wSfHc+SyatH7LRGZT9qRLrKMbjsilfS9KG2LflStKrND77MaKUI43ba9c7uvFoVx5zw3xNpui\n4dpdDpcwpZtgxuAAjM0XOKv/iFwi7JfLEk/KhfMj8cPEWuGkMz92RMoxroRAU6czMw9uwa4Tn8bv\n1mrh1AOAdTT24MmTdxQ6HIYUb+ZMdcbuki8fWTwmjUxyHXXHRf9j84aD3590M1ImdH/8u2LyTKGR\nkZ49yQyHBdHnDsslPS9JG+J2y0vnolhPRravMd8RId5EFA9gPE73PDP71R8wqJhNlQBeC7UZ3sIM\n2QFN81VO6jzJBWPV8qLoQ/LCjCucGhEZfAx0yylRZ5zFpkI2aqa0WWCp9X78ubkSL68jgJjR39RU\ncba1pdzzglIMuWI46Y1LrW9VTvZylPEfam858MOKyV5rScaBb31WM21RLXf25NAChyNieiIyw2lB\ndP0RuaTvJWl97G55afEoovyqMjlL+UzT9kqfet+GtXgTkR6uPnAfBNAIV1hWLoAXAXyBme2BNtJv\nzKZfAXg01GYoBTMGB2FsvsCZA0fkUqqWFyWekIvCdpXOgAy9cMxZGAcpc+o+nFFsPfslPGFfjpoK\nALDZDDUna+/MsNliPNr4FZiuFLeOtLYOn71JiDWGjdVba54t0zqtN/nV/7JZqH5xnTD1F0WEZE+6\nxNrQcFQu6X1JWh+zS15Wooq1RzzTtL3yQW8vcjdE3wIgGUAngH9l5icVtm3q+T0Q738HUACXUFvc\nx2IB/BeAZmb+54Bb6S9m03m8d9cwK3Gv0q+0c2LH+Cr9sFya0cTpYbVKZ0KbnGa46FhgKkWUOG+y\nc5K4+8i38ePkHDTnM8PS1rrwRGPjso2eFLpKkAzvChePLrXLY9e1vSIxY++qpt74pL6zN23Aff5R\nsas/lia1JZyzJ5nhHIbh3FG5uMct1sUjMMSE2q4IpKNpe2XE5W94It6nAaxi5tEbjscAOBSI2wUi\nygbwPwBSATCA/8fMvvWZNJvmA5g6zGCWw4yhIdcqvf+IXELVclnCCblwfqhXZAw4OFo85lxg0sup\nhptD9JidhTh/8Bv4aUk8BlIcDt3JUyfviBsdjZ/RbbFgKPrV9ra9NzSU1tYvsJT0FF5+6bpNTZsG\nFz75Hc2UX+zhlD3JDGkYhoYaeUHPy9J64zvy8uIRGG4qzaviEwsjrcuOJ6GC8o3CDQDMPExEgdrt\ndAL4FjMfd6/yjxHRO8x81oexvI5emE0QIc6EkfIVdB4rhPP4El4BM9gBsbmdk9pPcf7YAXlR9EF5\nYXoTp2UpXcZ1SrsALY1Ka3S1fWBCo5RlvOIsjFsCnRDvNlxzEcUbv8y/t6zDvj2PaH+zatnyV4Wu\nzvyq8+fXrgeEKd+7F2JHV8w3zj/SPdI4oUWbo2gwNv2mfpYN2XQVU9yV3WsZqfrCwFDIknCYIY0g\n6lyNvKD7ZWm98W15RfEIDGHtuolgSgHMOvFmIkrA5CnINzWpVQJmbgfQ7v7dQkT1ADIB+CLeijWS\nnS0QgXSQcnOpKzcXXbhXdJU2dq3So5svvrdKjz8hF84P9K04MeZrWkbmiy0jYxyjqXaWmExyUlSZ\n29jYA9i05RCvb7+Pnr/0wbT/3ZiccuVc3an3CRZLyqShfUxI78xMu6C70GZxsn18ZaoZFQZv2p/Z\nvYQmXbkuGxsLetr7uFgfkxd0vyyti35bXlE8jGi/OvqoeEzEuVU9cZs0wSXSk4k3M/P0Mb1+4t7N\n3QugjJm971huNj0P4CPKWjV3YAY7IV5p58SOU5xvPSAvMhyUF6Y3cnp2IFfpLNI5KcfY6e7Dee3L\nQ8e285/Hry2r+cCSvt6s6vr6TWuYxUlDQLMHaefA1aPXok80YsE7tx9/+7ZrcwDWT3xHJIeGrkub\nD1b2pFuszx+Xi7peltZHv+US64iPH49Qft+0vfKzoTbCG8I6ztvtV68C8Bgzv+DTIGbTaQDqrabC\nMMMyhOimS5wxcFQuwX65LP64XJSntA+WAQubdCccpdf34Yzn/ppv4sem+XKjeObM1pGB/oyba9Yw\nejKa21os1naXT51ij95S35QdZRtIA4B+I459/qua6xI0Atl7khnyKPTnj8tFnS/L6w1vSSuKLTB6\nnVWqEhCqmrZXbgm1Ed7gycp72roTzHxcUYvem1cLV2z2W8z8Hz4PZDaNAAjLELrZhnuV3tLBie0T\nVulplzk9R4lVOmuozjk/dkjKjVkBkfRglvPQWP0N3l6gHRQvnj59y3JZ1l63EauXhAOGC8eXSuw0\nAOhdfjW+KbX72HIAeHspVf3+TvGaa0Tp7MlxsT4hF3W+LK+LflNauUAV67ClrWl7ZVhFZs2EJ+L9\n7jQvMzPfoqxJALky3XYA6GPmr/s8kNmUCKBXKbtUfIMZwxYYmi5xRt/4Kv2YvGC+r6t0BvrkJH3d\ntT6czKMrcfjIZ+X/m3Hl3DJLT3fedavppIGxN+ztp+8CgIKBtHeKm6tvA4BtnxYvXk6nQkCZ7Elm\nyFboL5yQCzteltcZ3pRWFg8hRhXryIABxERSfW/F3CZEdBszK9LUl4g2ANgHV8GY8U3R/8PMr3s1\nkNm0BECtEjapKIt7ld7aiYT2U3L+6EF5UdQBeWH6Jc7weJXOAEMnnHAWxNqlLOMKIu6/By/X32V5\nE2frblnsdOrj3ScOJDVdbrOP9S1KtsbvXHX+WKVE6HhgmyYN8D17khlshe5CrVzY7hLrVQsGERM/\n85UqYYpfFQaDjZJVBX8ChTqyM/N+TFtg32OyFRhDJQAQgbSQsrPQk50l9uBu8QgAgBkjFhgaL3NG\n/1G5mKvlsvgaeUHeZBt5BBDs8jJt/SA09YMd8ryoc6+W3LvgzdjK0U+sfro273J/VHt78RoQ4gdz\n5l+MPt/vsOhsBgBoScElAGlgHv1dR1fHAodjxn0Rt1ifPykXdr4ir416Q1pVNIDYBQAWKPzPoxIa\n8hFBFQaVFO+gxAd7iZoaHGEQwRgHa1kFXUKFcAmfhetmy8FiaycSrp6W548ekBdFHZQXpl3kjByG\nIAAAAWli11ia0DUmIUo8tqPoEzHRhXbhobQ/viGeSVput0evkNIL37G1X85hkLxvEZE7e/LM6jHb\npNmTzOAx6C6c5IKOV6S1+tel1QsGEFsMYMbqgyoRSUTphZLiHY5hK+Fok4oPaEnKykJPVpbYgzvF\nowBcq/RhGJouc3qfe5VuqpEX5FnGjKt0df1wnMaV36Y/OJixeOBkZfte3QjHr43tM7SORJma9pZb\nir48MHjo/cOj17In3WJ98RTnt78irdO/Lq0q6kecurKeO/jdWzWYzPZmDAFJIlIJD4hgjIV10RK6\njCXCZTyCNwAAThbeW6V3LjIcbF+YuCPqts78zM6312ltiee72oY3yaOxn+8f2mSF9kId57e/Kq3T\n7ZRWFfXBVIQITNhQUYQ5K95NCo6lFOrKew6iITkrE71Z8Zq+kXLhhOV+URh2jor6/tpkfZN9YUf3\n0pXD7XKlY4lQ+Mag1WAkl8vPDuBMqG1XCSm2UBvgDT6LNxHdBuCfmPk2AGDmDylmlXKoK+8IZpRo\ndFAQhvpFYbhXFK29ojjWK4qOXlFw9ooi9wsCBkVBlBwCp/TBPq8XUkofOLGfhIRBRMWPINo4hkRA\nH9eWubnzakqBbmVqfooDXNEVs6/NVpYUZ5PjF9OIo1UYdPTQoH1MGHKIZHXGwckZ5Cr1qTJ3+Guo\nDfCGGcWbiG4B8BsAGQBegiuq5A9wrVYeC6h1/qOKdwiZIL4jfaI42ieKYz2i4OgVxYniKwwJgnZU\nEHRWoigHkdEJxDAQB6JoYo5KGgLS+9ia3Q1ndg87CvoYq4dgiBtFrM6BeQKQdOPcMon2jrTVtfWL\n3tcxGpW8SLAdGLstZUGCQWNcAQb0zUbjV0Z3dHWVao7+IfZz6Y4442pk37Bf5ZAHyeJoEwbtA8Kg\n3UHDTi2NSQmQOIsAtZrf7MMZagO8wZOV9+MAPgfgIIC73D+3MfOvA2mYQqhuEz+wElnHV779omjt\nFYWxHlG094qis08QuU+8Jr6aERL0YwJF2YminUDsuPhihuzWGCsPpvWgs6CXB7K6uSezl7tSB1gX\nP4IYgx2Jgow0AtLgekwLg+Se5PJTTTl3WiyxOeUgWiU7r56Lsv5v3e3pH88TBU3B+LkZcsLlth7e\nHHu879Lvln6K/iJ8cu9buLscriJsLrSCiRP1JilRD+nGycakbmHI3i4MOoZoyC4Jw04D7FISZGRT\nhPlOVa4xHGoDvMGjqoLMvMf9+0tE1BYhwg3g5s/cXGKMaOya+AriaK8ojPWKor1HFKVeUZD6RJGm\nEN/xla8BgAGuuupeo3GyLXUAnZm93JfVg+GsHpbS+llIGkK0cQzxWgmpBJjgevjMQFx+Q1Pe3Z19\nCQsWgMQKAGB22hzDr1WlamDamPFgCRFdtzpfIuUmt4l9GBlJLKg59MG+B1b+yXKf9nk8wd/Z24CF\n60A0/WcjSkyRowwp8jzD9ceZJRp1ttCgo0sYtI8IQw7QqDMGDjkVjHSaZR3nZxldoTbAGzwR73gi\nmujP1kx87nPBqODQF2oD/MEO2AZEcahfECx94vXi2ycKcp8oYkAQBIsoaEZI0FmvX/nGgigKQBSA\nybvE+AMzJ1rQld7HPdk9sGT1sC2jF5QyxLq4UcTpHZhHjCQCcuB6KMpIdGpzY+7dTd0pS7JZ0JYA\nKBl/TXI0nnIMvxJTalollidsXEhEN62E0+WEhcRoZ0K60xmVePjQR2Iqlr5x5J9j/mXTFeRe/in/\noK+fEidtWDwtRCIbtdls1GbLGTfcdEg8RsOOVmHQ3kuDjjHB4hDJ6jTByemqfz0s6Ay1Ad7gSW2T\n6RpzMjN/RlmTFMRsSgdwNVTTj4vvgCAM94nCqHvDze7y+U4QX0HQDAuCbkygKBtRtATEyK6Vb8i6\n3RvGeCi9H52ZPTyY08PWjF5Iqf2sTRiB0WBDkigjNdjuAZvO1NWcc3tDe9rqJElzc1MCZvuwffjF\nY+xs27Ah9cP7MqMLt0w33mu6Y3s7hIFNE48VLTiwJzX10iYiCPuxseb3+FKCg3QFUwyhHJP71xMh\ncabqXw8aqU3bKyNm9R3WJWH9xmwiAKNwrT69xg7YB0VhaEAQLdeLr+DsFcVr4jskCOKIQDqrIFxb\n+YZafKdDlNgxbwAdGX3cm92Nkawedqb3M7ndGSadE6kEhEVdaacYNdSStfVUa+amaIc2dgmIxMnO\nk+wNxxwjb6SKJCbemfnwqRht/JqZxr4i9Jx8W3dyyY3H09LOHy4sOlxGBKMEwfkMHjrwJiqv94cH\nkzGp65p/fdAuCyNOA+xSMmRkqf51xZABaJu2V/oU5EBEXwPwWbgCOX7HzE8oadykc3qw8v7mdK/7\nVa41CPT+e8KRflFM6ROF8WgHmzvaQeoVRZpCfMdXvj6Jfkhh5vgR9Gb0oSuzh4eyu9me2QtOGXS5\nM6IcSCFGCoVnOQMAgEwa29X0tbUt2beyNSq5Yrr/B5atA/bh50+z1LMhWoztuDPrkX6toPOoexKD\n5Sf1u3tBSLnxtdjY7nNLKt6KI+J0ALAgtv8JfKfOI394sGCWaMTZRkOOLmHQPjrBvz4PjAzVv+4V\nTU3bK70qTDYOEZXBFWa4Cq58gTfhath+UUH7bsKTN+HEW7bPA/itkgZM1WyYiD4KwAxXG7NVzFzj\ny/hbcrO6AIRd529fibLzcFofOjN7eSC7h0czeyCn9bMmYRjR0e+5M5IRYT5UBsndKRUnm3LuGBmO\nySoH0Yy9R51jtYec1ncLAN6QrM+q35r+QIJAgsdt7wgkzOO4hi4aukm8LZaU4iOHP9S5fMXLZzUa\n58JYWBL+GeP+8O/39VOS9/5wpSESOUabwzHaHNW/7jf+9K8sBXB4vNcvEVUB+BCAnyph2FR45TYh\nohPMfHOnb38MIEoHkD6x2TCAD8Il5DJcXxbf9lW8y3eU/wzAt5WyN5AIMjtTBtGR0ct92a7oDHt6\nHwvJQzDEWK+5M2ZVfeh+U+HZxry7uwfii0pAgkdRLSwPd9ktz15meXANABTEVhxannT7YnKFJnpF\no9B1fJeubsqGI4LgtC5b/lqtwWBZO/F4NTbW/C5Y/nClcciDgsXRRgPX/Os6sl2LXw9ov9Iw5vGm\n7ZU+6QQRlQJ4GcBaAFYAuwDUMPNXFLTvJry9/VPcQT5Vs+Hx2uDkfwOWE/4OoBSmEe5N60NXVg9b\nsnt4bNydYRpBbJQdSQIjlYAsuB6zluHo9MbGvMorPcnluSxovGqw67Qe3O8cO1gGYA0ArE6urMqN\nWbSJfHyj5MrJi8HoAyFxstdlWWOoOfqBNaULq6qSk1uudd1Zj30r1qDa+Qw/tDek/nBf0AomOVFv\nwqTx685OYcjRIQzYh2jI4fKv26QUMLII0IbC3CDhc91/Zq4nop8AeBvAiHusgIcph4fvzo272fBS\nAIcVHPaogmNNic7Bo2n9rpjm7G62ZvVASh1gMdECY7QNCRpXTHMSJskGnAuM6eM7mnLvPNc5b2Wq\npIkqAeCVf1GW+lvtlmc7wa4qgAIE+22ZDx2J183zq8O7AEGTxLFne8myYeqziOrPbtmclX26Oi/v\nxAoiV39LEbLmk/jDpvvw/MAT/J299VgUPv5wX4nSpMpRmtRJ49dHnM005Oi+wb+e6vavh+0eiof4\ntchj5icBPAkARPQjAK1KGDUdnmxY1uG9FXchgOuc8My8WBFDpmg2TER74IfbBADKd5T3wA/RFGSW\nkobQmdHHvVk9sGR3syO9jyl5CFGxVpjcKdqRs/IKEg6NYbAl69a6towNMQ5tzGIQeb2Bxsyy07pn\nv2Q7sRzuest6Ibr37qxH2nSiQZH33kWhvWaP7qxHPuz4hKt1ZWW70olu9htfQe7ln+L7vf2UNGv2\nWDxCYuu4f10YdNjoPf96BkXGYqUHwLym7ZU+exaIaB4zdxFRDlwr8DXMPKCYhZPN6YF4F8G1mdhy\nw0vZADqU2FGdrtmwQuL9EoAPTPV6zCj3p/ejO6uHB7K7Xe6MeQOsNblStJPd7oxJQ9RUrkcStNar\n6etrW7JvEcf0iRWYJEHGU2Rn92X78HMjYNu1zvDxunmXbsv4lE4gUbEuSRJk+x/071pBnu0nREUN\ntS5b/ppVFKVJS8cewIaa/4cvR6Y/XGns8oBgcbSRK37d6favJ7r96+HS/OD5pu2VH/NnACLaB9cX\nlQPAN5l5lyKWTYMnt3i/APA9Zm6eeJCI4tyv3euPAW5f5ZMA6gMVdpjaz6/ndXJOdg9GMnvYmdbP\nmiSLK0Xb7c5IgLpy9hkGSV3zltU25dwxNmLMWAyitTNfNc14LDsdo29Vy/b6NQCuxcrnGEtr1qTc\nu8D93lMMEYIugY1H+2lkvSfnj43FZR0+9FHL8hUvH9XrrTetstdh/4rVOOB8hj+19y1UljEJk/rT\n5wQ6IV5O0scjaVL/eocw5OgMA/+630LLzBuVMMQbPFl5H2XmSW8DiaiOmcsne81jA6ZoNgzXh/ZX\nAFIADACoZeY7fJmjvqS0ADe4e1T8py+h5HRj7l19g6b8UpBwU7idL8jOtnq75W8C4Lyu1djSxFv3\nFsUtX09TJOn4S4PYdni/tmHG8MTrkaXyxX/fHx/fOaXffRgxA0/gO6dmhT88WEyMXx+wjwoWB2jU\nGTuhPozS/vWipu2VEacPnoj3BWae9PaQiC4yc2FALFOY+pLSBqi9B/3GYsy81Di/sqU3cVE+CxrF\napYwO8ccw68clp1NGzDBRUUg5y3p/3AgOSpr0zSX+40T0tjT+j1OkPehcnnzj+/NyjqzjmjqO9k5\n6w9Xmon+9QG7jYYdGrJK4/51X+5wmpu2V+YpbWYw8GQlUENEn2Xm3008SESPwBWTHSnshCrePmGN\nSrzalHvXhc55y9NlUb8AgKK+XMlx+aRj+JU4QL5uBasV9IN3ZT5y0aCJCahwA4AGYlQcGw4OkdVr\nl09T47JNw5ak4yWlewtoCr95Dprzf43P5R9g1R/uFyIZ2KQrkky6IunGpYNd6hcsjqs06PDGv/63\nQJscKDxZeacCeBGutM9xsV4BV02F+5i5I6AWKkR9SelaAAdCbUek4NAY+69k33q6LWNDnFMTvViJ\ngPsbYbZZ7JYXTrDUvhE33ArHahKu3JH5GcfEGtyB5ozYcvCg9rzP/vro6P7GpcteFwRBzp3uPAmC\n8y/45IE3cc/c9ocHE6uzQxhydAiDdovbvx4Nm5QM4OPNP648EmrzfMHjDEsi2gqgzP30DDPvDphV\nAaK+pLQO7/0NKjcgCbrRtowNtS1ZW7U2fUIFXFFAgZnLVl/jGH0zHeDMG19LN+Sf3Jj6kawba3AH\nGgecIzv0VQIIhpnPnhyNZqx/xcpXmrVaW8VM507wh68N5L+1ypRc7NhaEbHNpmd3VcEbqC8pfRSu\nTVAVNzIJzs55K04059zuGI1OWwKigIZvsTzaZ7c8X89y76SRHQvj1+4vi9+4arIa3MHgr7rqw8PC\nmJcbl9dDJDsqKt44FBPb51EEQgtyGn+CH/So/vCg868dWyv+PdRG+MpcE28TXPW9va6BMZtggPsS\nF55uzL2rfygubxFICMoK1zl2/KDTuqcQuLmKHwDemPqRqozogi3BsGUqTorN1Ue1Fz0KGZyJoqKD\nValpFzcSeVbdT40PDyoygIKOrRVNoTbEV+aUeANAfUnpkwDCt4FEABmKzbnQmFd5tS+htIAFMWj1\nU1i2dNoszzZBHpp0RSuSduSuzM+cNmrj/VrxKoENjsE/6vcaQMrUyU5Nu3CkqOjQIiLPElJkCNIz\n+GS16g8POC90bK34cKiN8Ie5KN6roGztlLDGGpXc2ph316WulGUZsqgLun/PYa3eL40dLscU1RCj\nxdj2u7IeGdQIupLJXg8Fz+j3Hx0lm2IuDHdt8FgizvD0mhEYB5/Ad2rPomyd6g8PCGs7tlYcCrUR\n/jDnxBsA6ktKj8NVAGtWYtfG9jTn3Ha2PW1tglNjKAtEpMhMyFJ/i93y126wdcpyqylRWWe3pD2Q\nKJAwY2f4YHJcvLz/uLZxmkJV3qPTjXYtX/FKt0bjuKl923S0IKfxp/h+Tx8lq/5w5aju2Fqh6P9v\nKJir4v0AgGdCbYeSOEX9cFvGplMtWVt0dp2pIlTZfK5CUrv3SbaTKzHN3kJh7LKDy5LeV0GuDvVh\nxRjs/X/S74vFNEk3viAITuuyZa/VGqItXocjHsT6Y7/Fo/GqP1wR7uvYWvFSqI3wl7kq3gTgJAC/\nUvtDjUyCoyN19YkrObdJo4Z5S+BDMwJF7XF2XbIPP2cF26cNx1ydcs+eXOPCzb7W4A4Gf9bvO24l\n+5R3Db7DXFq6d29yyhWvS9mq/nBFOA+gtGNrhU+9KsOJsBXvadqj/QyuYlh2AJcA/KMvpRfrS0rv\nA/DCjCeGGQxwb1L5qabcO4eGYnPLwqEJALPkcIy8eUB2nFuLaRriChBtt2c+VGPSpSgSzRFIjmgu\n7kwdOmEAABV1SURBVD2laQ5YZmdm1pnq+fOPX6sN7g2qP9wvPtKxtSJisyonEs7iPVV7tCwAu5nZ\n6e5eAWb+ri9z1JeUHgIQ8ggHTxiMm3+uMe/ujr6E4gUgMT3U9owjO1rP2odf0ALOaTdD9UJ0z91Z\nn72qE6MUqcEdaEZh635Gvz8JHob5+UJ8/NW6svJdaTRJA2RPaEF240/xg+4+Sl6ltG2zlP0dWyuC\nXv0vUISteN8IEb0M4Nfj7dHcx+4D8BFmftCXMetLStcD2K+QiYozaph3pTHv7svdKRXZsqANK18n\ns8PqGH7liOxsvq6Q1GQk6FIvvi/jk3ola3AHgz/q99bayDFjpqQ/REVZWpctf3XK2uCe4PaHmxyk\ni4gicSGCAazp2FoRkanwkxER4u1uj7YXQBkzD004/iqAZ5n5T76OXV9S+jyAj/hro1LYdHHdzTm3\n17enrUmSNAavIhOChWS/VOsYeTUBmL6GBwDkGhfWrE65R/Ea3MHgoOZ81RlNi19t1jxBFB2W5Ste\nadDrR32OKJEhSH/BJ6rfwL2LOEhJVxHGMx1bK3xa5IUrYS/e07RH+z5cBbI+xH78EfUlpfMBnAF8\nr2fhL04xaqgla0tdW+Zmg10buwQBqlntL8y2Ibvlb7UsddxUSGoyliW+b29h3LKA1eAONMMYa/+r\nvjoNFIz+jCyXl/99X3xCh19fFiMwDv4nvl17BuWqP/w9xgAUd2ytuBJqQ5QkrMV7qvZoRPRpAJ8H\ncCszj/o7T31J6dcAPOHvON4gk8bWnram9kr2rWw1pFSAKCqY83uLZDtz1DH6dhbAM/rbXTW4HzyQ\nHJUZ8FKugeZ/9FV1dnIGLSopL+/Evqzs02unqw3uCW5/uBof7uI7HVsrfh5qI5QmbMXbHUa2A0Af\nM399wvE7AfwHgM3M3K3EXO7QwV0Atiox3lQwSO5OXnKyKfeOkeGY7HIQedQzMZSwPNprtzx3juW+\ndZ6crxX0g3dnffZSlGgMQJhd8Nmvqa9q0FwNuOtkIknJzcdLS/fmEyHe37EOYd2x3+DROAfpI7Z6\nnp8cALBxNoQG3kg4i/dU7dF+CVeLtF73sUPM/AV/56svKc11zxXr71g3MmAqrG/Mu6urP35BMcIs\nm3A6nGM1B5zWvcXwsAN4rDax+Y7Mf5RE0uQH2LSgMUijrc/rDwatDsw40dEDjUuX7SRBkPP8HWsO\n+8OtAJZ0bK24EGpDAkHYincoqC8pfRjA75UYayQ6rakxr7K5O3lxDgua+UqMGSxYHmq3DT3bArZ4\nHIKWbig4uTH1w9lENOuSR57W76l3klQa7Hm9qQ3uCXPQH/6Njq0VQXWHBhNVvG+gvqT0NQCVvlw7\npovvbM69o6EjddU8SRMV9A+7vzAzO8eq90tjR5YA8Dg6ZFH8+v2L4teHrAZ3oNmjPbPnotixJRRz\nE8mOJRVvHIr1sDa4J7Qiq+mn+EFXL6XM5vjwfQC2zEZ3yTiqeN9AfUlpOoDT8LCZqUM0DLZk31LX\nlrHR6NDGLAFRwJI6Aoks9TXbLc/2ga3eFOySN6V+dG96dP6WAJkVFvTTcNPf9IfzQmlDYdGhqrS0\nCx7XBveEWewP7wawrGNrRWuoDQkkqnhPQn1J6V1wRblM+kGRBM1Ye9q62ivZt2IsKmkpiLxOcQ4X\nmGXJObprv2SvWwUvwiVdNbgfPm3UmiIiQ9Vf/qB/94JEckhFLjX14pGiBQcXkg8d7qdChiD9FQ8e\neB3vXzhL/OEygDs6tlb8PdSGBBpVvKegvqT0uwC2jz9nkNSVsvRkc+4d1mFjZjkiMOnkRmRn5wW7\n5Xk7YPcqGShaE9d+V+bDQxpBVxwo28KNXdq6PY1i15ZQ2xET23O+ouJNI9HNvT/9YQTGwV/iW7Wn\nsTjS/eHf79ha8SNvLyKibwB4BK5MzDq4aiaNKW2ckqjiPQ31JaV/6YtfUN6Ud3fvgKmgFCT4VIMi\n3GCW7I6R1w/KjgvrAHj1QU2Jyj67Ne3jSURCaoDMC0u6aejiy/qjYZF+rtWNdq9Y8UqXt7XBPSHC\n/eHPd2yt+Ji3FxFRJlxlMhYys5WIngPwOjM/rbSBSqKK9zT81xd2R8GV3RmJb+RJ+f/bu/fgKK/z\njuPfsyvtyhICgbgjA7YxNjcjC5WLAQekhhob3+KJSVq74/iSynVsZuqk1bROvc3UU08mTFI3Cp7G\nl9B03OBLbAjEFGOBWBBC4n4zBourAHG1JCTQai+nf7xLLRMQ2t333Xff1fOZ2UFopHPODOLHy7Pn\nPCccPLon2PqhF8IxB9GtvYs23tkvNXtwJ8Nb3spDEaVTYueQcoXai4pWbM3ObunW/vtYbWLa1kU8\nn+ugevh2YEbj7MK2WL8xGt41wESgBfgIeE1rvcrcJZpLwvs6KsoqB2H8wY60eSkJ0Tp4Mdi6tC4S\nOjqTa9TyuzJ1wP1Vw3PG3J3KPbittipzx9qj7rOz7F7HV7S+fcy6qgEDjs6yYnQH1cMPAtMbZxc2\nxjuAUmoB8ArG3vBV8Ta7SyYJ726oKKscC2yAxE+82SHccWBbsG1FPkSGx/q9Rg/uJzb38fRP+R7c\nVmtUTfuWe7ekzF2blw0btrf6ppu3FCmFJS0W2shufo0fpmo9/BRGcNfHO4AyeuJ/AMwHmoD3gPcT\naXiXDBLe3VRRVjkZ+IQY9j/bTUfamztaP9ipw6fi2iOc5c45M3fY040ed5ajbxwy05veymNa6ZRr\nbZuXd3L3+AmrB8XbG7w7UrAe3oKxl3tbIoMopb4N3KO1fir6+78Gpmqt/9aENVrGkXuS7fDc6yW1\nwD3ABbvX0h2hwK7aQPOiS/EGd1/PoAP33/hsQIL764ZG+h60ew1X09Q0ZPzmuoc6wmH3fqvmKKBh\n5GuUTX5B/2yrRwfsPnIeAB5MNLijjgJTlVLZ0bJgKfCZCeNaSp68Y1RRVjkdWAnm7bU1k460nem4\nsOQLHWmK+ZLby0b0Glc3pf99t0dvMBKdHHed3/OxZ1tK9lkHcLuDrZMmLdvrzbpo6dNxBFd4CX9Z\nvYIHx2jl6m/lXFcRAL7dOLvwD2YNqJT6F4yySQjYBjyttQ6YNb4VJLzjUFFWeTfwRyDH7rV0Fmqv\nrQ5dWn873TwdejVF+d+sGpV75wyn9uC2mkbrt7yVjVqRMlfR/SkdGT9htb9vgr3Bu8OGevhFjCfu\ntD+Ecz0S3nGqKKucBawAbL2xHSASbj7RcWHJcXRr3L2bFSpUOuSx6vysoY7vwW215Z4tVY2upqS2\niY3HiBHb/TcO3zVVqdj28scjSfXwFuC+xtmFKXt1YTJJeCegoqxyBrAMsOUGd621Dl3yrw8HNheS\nQCvbdOvBbbWjrrM7V3l2OOIi5fz8o9vGjK26yYze4N1Ry9Sti3ght8P8/eHnMY69bzZ5XMeS8E5Q\ndBvhSiCpOxAi4XOHOy4saUa3T0xknNzM/CN/MeyJiFs5q22tnTQ68qa38hwW7uwwU3Z20+E7i1Zg\nRm/w7ojgCr/Ldzcs56GxJtXDT2IE9y4TxkobEt4mqCirLMCogVu+M8NoJLV6fbhjd0yNpK5maPao\n7TMGfmtEdJ+riMEyT926064Wx5SYMjICTZOKlx7yeAKxdI1MSBvZzf/Bi9t3MXEa8bcL3g7cn+4d\nAuMh4W2SirLKXOB3wL1WzREJndzfceH9MAQT7hU+Pm+Gf2zeXVNV6h26cIRDrlPbPvXsTloQmsHo\nDb6yJjf3nGm9wbvjOMOO/JSXTp1VA2Oth38IPB7PkfeeQMI7ShkXAK/DuGItA+OE1cuxjFFRVukG\nfg48b+batA4Fgm0raiLB+pgbSV1F5O5Bj/qHZN+U8m+4pbIIkdBb3jUtqPh39tjlllGbqoYM2W9q\nb/DuqGPKtl+xoFc36+GvAv/YOLtQAuoaJLyjopvzc7TWrdGn0fXAAq11TaxjVZRVfg/4JSbsRAkH\nj+wKtn6UDeFbEh0rQ2W23lPw9N6cjN6pckLO0T701PrPuS4k9SnWLAMHfVE7evTGMUqZf2drV6L1\n8OrlPHSt/eEdwPcbZxcuTua6nEjC+yqUUtkY4f2s1npTPGNUlFWOw+iREFeJQ+uOto7Wj7boUMMM\nTDgJm53R58TcYU9dyHBl9pge3FY74Dq5ucqzt9judcSrV6+zByYWrrzB5dJJv2D5GvXww8CjjbML\n65K9HieS8O4kejBlCzAKqNBa/0Mi41WUVeYAi4DHY/m+cMf+rcG2Pw6AiCk7WAZmDd8za/D8AUq5\nBpoxnjCEiXS87V1zCUUfu9cSr2hv8FMZGcHxdszfqR5+EniicXZhkx3rcCIJ76tQSuVhvFnyvNZ6\nd6LjVZRVPolRRulyd4jRSOq9XTp8Zkaic142undxdWG/kqJoTV+Y7ANPzYYvXW2O7rhodW/w62gH\nflRaUv9LG+Z2NGlMdRVa6yZgDUYjqoQ993rJWxgXOlyz2U0osKMm0Lyo3czgnjbggarCfiXTJLit\nMy58o+N36+hIRtaWzQ/edeb0iLVak8ynuV3An0lwx0fCO0opNSD6xE30pphvAvvMGv+510t2A0XA\nzzAuSQVAR1rPBJrf3Bi6+OlU0KZcLeZS7vZ7hj21YXivMd/oyZcnJMOo8OA70LTavQ4z7Nt396yD\nB4s3ak0y7m58DZhcWlKf8P9seyopm0Qppe4AFgNujH/U3tVa/8SKuSrKKqcCb4cu1ZwLtVePxcTj\n9VnunDNzC54+5XFl2VLD7Ine9VRvbHFdiruLY6rpk3dyz4QJqwcohRXvkXwBlJWW1H9qwdg9ioS3\nTX7+Vz/wREKHXwZ+ROJ7twHo6xl84M+HPp7tUi5TbxYXXdvtPraxJnN/2oQ3gNfbemJS8bILbnfY\nrN1JQeCnwL+WltSn9K3sTiHhbbOF8+dNAH4NTElknJG9xtdO7n/vWKVUSvYZT2dBQm2LvVUuVGLt\nClKN2x1sLZr0h71ZWW2JngvYAPxNaUn9HjPWJQxS87bZi0uW7wLuAp4BzsQzxqT8OVWT+99bLMFt\nj0wycnrprJ12r8Ns4XBmr7rah4u/PD+kKs4hTgNPAjMluM0nT94pZOH8eXnAy8APMI7od0nhCpYO\nfawm3zvEkaf80skO9+Hqusx6O7baJUWMvcFDGFtjfaUl9c0WL63HkvBOQQvnz7sNoz74wLW+xuPK\nappb8MyhLHe2o5ojpasAwebfetfdgCLe7nkpr1/+se1jx64doVSXb7BXAi/E86StlLoNWNLpUzcD\n/6y1/kWsY/UEEt4pbOH8ebMwthZO6vz53pn5h+cMe0JLD+7U8o53fd1FFYj7NiMnuOGG5iNFk5ZH\nXK7IlT97tcBLpSX1n5gxT/S083Fgitb6iBljphsJb4tFfwg3A8e11vPiGWPh/HkPAT8BJgzLvnXb\n9IEPj5Qe3KlnS8bB9dsyDpl2yCpVZWQEmicVL6v3eNqLgJ3Aj0tL6peZOYdSag7wstba0adXrSRv\nWFpvAV2crOyOF5cs/wiY2Mcz4FvTBz6sJbhT07hQwTg0IbvXYbVQyNundtMjrkuXch8BCs0O7qjv\nAP9jwbhpQ568LaSUKsA4+PMK8HfxPnl31lDuVxi18H8C0vq/6E703951W9tVMJ3vAt2M8fO81Ofz\nWRIeyugyeAIYp7U+ZcUc6eC6OxpEQn4B/D0JXA58pYJXZ2pgKbC0odw/B3gJkN0mKWJ0eGjbzoy0\nLNH6gVd8Pt//JmGuucBWCe6uSXhbRCk1Dzittd6ilJplxRwFr85cBaxqKPdPB54FHgGkCZWNxodu\nvH2n+0iEJN9SY5EARnfNX/l8Pn8S5/0uUjK5LimbWEQp9W8YfbxDGIHaG/i91voxq+ZsKPf3i875\nDDDOqnlE137rrdoRUKGJdq8jAXuBN4D/8vl855I5sVIqBzgK3Ky1lj3iXZDwToLok/cPzah5d1f0\nafwZ4FESvGVexGZjxufr9mQ0OOZm+aiLwLvAr30+X7XdixHXJ+GdBHaE92UN5f484DGMIL8j2fP3\nRK20n/ydd8NgFE5ox7sV4yn7HZ/PJ0+6DiLh3YM0lPunYIT4d4Acm5eT1hZ71+4OqnCqtuVtAd7B\neMreavdiRHwkvHughnJ/LjAPeBDjtiDH3sGYqvwZn1V9nnHiG3avo5N2YDXwPvCez+e7aPN6RIIk\nvHu4hnJ/JjALY+/4A8BwWxeUJprVxYb3vBuTfiv7lcsAVmDsGFnp8/nS4sYfYZDwFl/TUO4v5Ksg\nn3SdLxdd+I137WchFR6T5GkPAR9jnAVY4/P5gkmeXySJhLe4poZyfwFwP0Z5ZTakb8c8K6zN3FP1\nhbvR6tJJAKjCCOyPfT7f5xbPJ1KEhLfolmidfAbGxRHTgMmYeHI0HZ1XrYd+791kdufHAMYOkU0Y\nNew1Ur/umSS8RVwayv1uYDxfhfldwC22LioFve1dcyCsIrcmMMQBjKC+/NoupRABEt7CRA3l/gF8\nPcyL6eEHhD7N3LX2kPv0rG5++XmMvtj/H9Y+n++82WtSSuVh7O0eD2jgSa31RrPnEdaS8BaWie5k\nmYgREmM6vW6mh7QjPqNaDiz11l355K2BY8DnwD6gDiOo9ydjTUqpxYBfa/1GtINftta6KRlzC/NI\neIukayj3e4HRGEF+K0a55RaMUB8GjjiZeD0RjLamh37jXbs7pMLHMcJ6P3DA5/NdsmNRSqk+wHaM\n3iHyl9/BJLxFSmko92cBN2GE+WCgP5AffV35cV+S+wQfAZqiry87vZqAU8DhTq+jBa/OTLnatFKq\nEPhPjOZTE4EtwAKtdZutCxMxk/AWjtVQ7ncBefxpqOdihLq6yq/X+vjyPwIX+CqQrwzolmg/dcdS\nShUDNcB0rfUmpdS/Ay1a6x/bvDQRIwlvIXoQpdRgoEZrPTL6+5lAudb6PlsXJmLWI940EkIYtNaN\nwDGl1G3RT5VilFCEw8iTt7CUUuowRikiDIS01sX2rkhE695vYJyYPQh8T2v9pb2rErGS8BaWioZ3\nsdb6rN1rESKdSNlECCEcSMJbWE0Dq5VSW5RS37d7MUKkC7k9Xlhthtb6uFJqIPCJUmqf1nqd3YsS\nwunkyVtYSmt9PPrraYxLASbbuyIh0oOEt7CMUipHKZV7+WNgDrDb3lUJkR6kbCKsNAj4UCkFxs/a\nO1rrlfYuSYj0IFsFhRDCgaRsIoQQDiThLYQQDiThLYQQDiThLYQQDiThLYQQDiThLYQQDiThLYQQ\nDiThLYQQDiThLYQQDiThLYQQDiThLYQQDiThLYQQDiThLYQQDiThLYQQDiThLYQQDiThLYQQDiTh\nLYQQDiThLYQQDiThLYQQDiThLYQQDiThLYQQDvR/MjCTxK0wecwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11cdb8c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Μερικά ακόμα παραδείγματα: \n",
    "\n",
    "*Ποιος είναι ο ερευνητής που έχει τις περισσότερες δημοσιεύσεις στο Nature Genetics;*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Pickrell JK'"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g3[g3['JOURNAL'] == 'Nat Genet'].groupby(\n",
    "    'FIRST AUTHOR').aggregate('count')['PUBMEDID'].idxmax()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*Ποιο region περιέχει τις περισσότερες μελέτες σχετικά με καρκίνο;*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'8q24.21'"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g3[g3['DISEASE/TRAIT'].str.contains('cancer', case=False)].groupby(\n",
    "    'REGION').aggregate('count')['PUBMEDID'].idxmax()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*Ποιος είναι ο μέσος όρος και το median του allele_frequency για όλα τα variants που ανακαλύπτοντε κάθε χρόνο;*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/alexandroskanterakis/anaconda3/envs/arkalos/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "YEAR\n",
       "2006    0.370000\n",
       "2007    0.415852\n",
       "2008    0.391309\n",
       "2009    0.364374\n",
       "2010    0.359003\n",
       "2011    0.389704\n",
       "2012    0.332810\n",
       "2013    0.413206\n",
       "2014    0.425324\n",
       "2015    0.508952\n",
       "2016    0.366965\n",
       "2017    0.387201\n",
       "Name: RISK ALLELE FREQUENCY, dtype: float64"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Μετατρέπουμε το ALLELE FREQUENCY σε numeric (από string)\n",
    "g3['RISK ALLELE FREQUENCY'] = pd.to_numeric(g3['RISK ALLELE FREQUENCY'], errors='coerce')\n",
    "\n",
    "# Ο Μέσος όρος. ΠΡΟΣΟΧΗ! Αφαιρούμε όσα έχουν null RISK ALLELE FREQUENCY \n",
    "g3[~g3['RISK ALLELE FREQUENCY'].isnull()].groupby('YEAR')['RISK ALLELE FREQUENCY'].aggregate('mean')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "YEAR\n",
       "2006    0.370000\n",
       "2007    0.400000\n",
       "2008    0.350000\n",
       "2009    0.320000\n",
       "2010    0.330000\n",
       "2011    0.350000\n",
       "2012    0.290000\n",
       "2013    0.378664\n",
       "2014    0.400000\n",
       "2015    0.494200\n",
       "2016    0.336300\n",
       "2017    0.359500\n",
       "Name: RISK ALLELE FREQUENCY, dtype: float64"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Το median\n",
    "g3[~g3['RISK ALLELE FREQUENCY'].isnull()].groupby('YEAR')['RISK ALLELE FREQUENCY'].aggregate('median')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Και τα δυο μαζί:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>median</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YEAR</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2006</th>\n",
       "      <td>0.370000</td>\n",
       "      <td>0.370000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>0.415852</td>\n",
       "      <td>0.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>0.391309</td>\n",
       "      <td>0.350000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>0.364374</td>\n",
       "      <td>0.320000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>0.359003</td>\n",
       "      <td>0.330000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>0.389704</td>\n",
       "      <td>0.350000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>0.332810</td>\n",
       "      <td>0.290000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>0.413206</td>\n",
       "      <td>0.378664</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>0.425324</td>\n",
       "      <td>0.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>0.508952</td>\n",
       "      <td>0.494200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>0.366965</td>\n",
       "      <td>0.336300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>0.387201</td>\n",
       "      <td>0.359500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          mean    median\n",
       "YEAR                    \n",
       "2006  0.370000  0.370000\n",
       "2007  0.415852  0.400000\n",
       "2008  0.391309  0.350000\n",
       "2009  0.364374  0.320000\n",
       "2010  0.359003  0.330000\n",
       "2011  0.389704  0.350000\n",
       "2012  0.332810  0.290000\n",
       "2013  0.413206  0.378664\n",
       "2014  0.425324  0.400000\n",
       "2015  0.508952  0.494200\n",
       "2016  0.366965  0.336300\n",
       "2017  0.387201  0.359500"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g4 = g3[~g3['RISK ALLELE FREQUENCY'].isnull()].groupby('YEAR')['RISK ALLELE FREQUENCY'].aggregate(['mean', 'median'])\n",
    "g4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ας κάνουμε ένα scatter plot με τον x να είναι το YEAR και το y να είναι τα mean και median"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x12077ff60>"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g4.plot(style='.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAX4AAAEKCAYAAAAVaT4rAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAc1/tsLv2OrsAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12a4989e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Και ένα scatter plot με το χ να είναι το mean και το y το median:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x129569860>"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g4.plot.scatter(x='mean', y='median')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZYAAAEKCAYAAAAxXHOuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1299b1080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ένας (από τους πολλούς) τρόπους για να φτιάξετε ένα data frame από δικά σας δεδομένα είναι:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>aa</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>bb</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>cc</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>dd</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   A   B      C\n",
       "0  1  aa   True\n",
       "1  2  bb  False\n",
       "2  3  cc  False\n",
       "3  4  dd   True"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data={\"A\": [1,2,3,4], \"B\": [\"aa\", \"bb\", \"cc\", \"dd\"], \"C\": [True, False, False, True]}\n",
    "df = pd.DataFrame(data)\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Πως επιλέγουμε συγκεκριμένες γραμμές"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>aa</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>bb</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   A   B      C\n",
       "0  1  aa   True\n",
       "1  2  bb  False"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[:2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>aa</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>bb</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   A   B      C\n",
       "0  1  aa   True\n",
       "1  2  bb  False"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[:2]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Πάρε μόνο τις γραμμές 2 και 4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>bb</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>dd</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   A   B      C\n",
       "1  2  bb  False\n",
       "3  4  dd   True"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[[1,3]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Μετατροπη του DataFrame σε dictionary:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: {'A': 1, 'B': 'aa', 'C': True},\n",
       " 1: {'A': 2, 'B': 'bb', 'C': False},\n",
       " 2: {'A': 3, 'B': 'cc', 'C': False},\n",
       " 3: {'A': 4, 'B': 'dd', 'C': True}}"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.to_dict('index') # Αυτό φαίνεται πιο.. κατανοητό.."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'A': {0: 1, 1: 2, 2: 3, 3: 4},\n",
       " 'B': {0: 'aa', 1: 'bb', 2: 'cc', 3: 'dd'},\n",
       " 'C': {0: True, 1: False, 2: False, 3: True}}"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.to_dict()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Προσθήκη νέας κολόνας από συνδοιασμό άλλω κολόνων:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>aa</td>\n",
       "      <td>True</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>bb</td>\n",
       "      <td>False</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>cc</td>\n",
       "      <td>False</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>dd</td>\n",
       "      <td>True</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   A   B      C   D\n",
       "0  1  aa   True   1\n",
       "1  2  bb  False   4\n",
       "2  3  cc  False   9\n",
       "3  4  dd   True  16"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['D'] = df['A'].apply(lambda x:x**2)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "      <th>E</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>aa</td>\n",
       "      <td>True</td>\n",
       "      <td>1</td>\n",
       "      <td>Male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>bb</td>\n",
       "      <td>False</td>\n",
       "      <td>4</td>\n",
       "      <td>Female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>cc</td>\n",
       "      <td>False</td>\n",
       "      <td>9</td>\n",
       "      <td>Female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>dd</td>\n",
       "      <td>True</td>\n",
       "      <td>16</td>\n",
       "      <td>Male</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   A   B      C   D       E\n",
       "0  1  aa   True   1    Male\n",
       "1  2  bb  False   4  Female\n",
       "2  3  cc  False   9  Female\n",
       "3  4  dd   True  16    Male"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['E'] = df['C'].map({True: 'Male', False: 'Female'})\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Αλλαγή του ονόματος των στηλών:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>City</th>\n",
       "      <th>Is Male</th>\n",
       "      <th>D</th>\n",
       "      <th>E</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>aa</td>\n",
       "      <td>True</td>\n",
       "      <td>1</td>\n",
       "      <td>Male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>bb</td>\n",
       "      <td>False</td>\n",
       "      <td>4</td>\n",
       "      <td>Female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>cc</td>\n",
       "      <td>False</td>\n",
       "      <td>9</td>\n",
       "      <td>Female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>dd</td>\n",
       "      <td>True</td>\n",
       "      <td>16</td>\n",
       "      <td>Male</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   A City  Is Male   D       E\n",
       "0  1   aa     True   1    Male\n",
       "1  2   bb    False   4  Female\n",
       "2  3   cc    False   9  Female\n",
       "3  4   dd     True  16    Male"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.rename(index=str, columns={'C': 'Is Male', 'B': 'City'})\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Αλλαγή του ονόματων του index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>City</th>\n",
       "      <th>Is Male</th>\n",
       "      <th>D</th>\n",
       "      <th>E</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Εγγραφές</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>aa</td>\n",
       "      <td>True</td>\n",
       "      <td>1</td>\n",
       "      <td>Male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>bb</td>\n",
       "      <td>False</td>\n",
       "      <td>4</td>\n",
       "      <td>Female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>cc</td>\n",
       "      <td>False</td>\n",
       "      <td>9</td>\n",
       "      <td>Female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>dd</td>\n",
       "      <td>True</td>\n",
       "      <td>16</td>\n",
       "      <td>Male</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          A City  Is Male   D       E\n",
       "Εγγραφές                             \n",
       "0         1   aa     True   1    Male\n",
       "1         2   bb    False   4  Female\n",
       "2         3   cc    False   9  Female\n",
       "3         4   dd     True  16    Male"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.index = df.index.rename('Εγγραφές')\n",
    "df"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}