Data analysis and figure generation scripts for: Courtney J. Smith*, Nasa Sinnott-Armstrong*, Anna Cichońska, Heli Julkunen, Eric Fauman, Peter Würtz, Jonathan K. Pritchard (2022). Integrative analysis of metabolite GWAS illuminates the molecular basis of pleiotropy and genetic correlation. eLife 11:e79348. https://doi.org/10.7554/eLife.79348
Link to article here: https://elifesciences.org/articles/79348
Data for this repository can be downloaded from: Dryad under accession code https://doi.org/10.5061/dryad.79cnp5hxs OR at https://drive.google.com/drive/u/2/folders/1KiHjx0uaOnc-rJM4Jph9cCherGcemuem
If anything is unclear, please contact Courtney Smith at courtrun@stanford.edu.
If you use these scripts or data, please cite the above Smith et al. 2022 (eLife) paper.
Directory overview
- GWAS sumstats processing folder has scripts for initial processing of summary statistics generated from GWAS
- Data Analysis has scripts for analyzing the processed GWAS summary statistics
- Figure Generation has scripts for producing the manuscript figures