Michael Zietz, Undina Gisladottir, Kathleen LaRow Brown, and Nicholas Tatonetti
Indirect GWAS is a method to produce GWAS summary statistics (coefficients, standard errors, p-values) for a linear combination of phenotypes using only other summary statistics. This repository holds workflow files and notebooks used for the manuscript. This analysis should be fully-reproducible and uses Snakemake.
This project has the following general structure:
- Validate that Indirect GWAS works and that it works for a variety of GWAS methods.
- Demonstrate that it can be used to accelerate pan-biobank GWAS.
- Demonstrate that it can be used to extrapolate to new phenotypes.
- Evaluate the method's performance when phenotypes are not fit perfectly, and compare performance across categories of phenotypes.