Resources for Mendelian randomization
This page collects some useful resources for people interested in Mendelian randomization.
The statistical methods for univariate summary-data MR are implemented in the mr.raps package that is currently hosted on GitHub. To install, run
You can get help from the package manual or the main function
Check out this new R package called GRAPPLE that accommodates multiple exposure factors and GWAS sample overlap:
Tutorial and talks
The statistics of summary-data Mendelian randomization: This is a brief summary of my research on summary-data Mendelian randomization presented in the 2019 Mendelian randomization conference.
R markdown report for our MR study on lipoprotein subfractions: This report entered the 2019 MR Data Challenge and contains reproducible R code for our analysis.
Related publications can be found in the IV & MR project page.