Resources for Mendelian randomization

This page collects some useful resources for people interested in Mendelian randomization.

Software

MR-RAPS

The statistical methods for univariate summary-data MR are implemented in the mr.raps package that is currently hosted on GitHub. To install, run

devtools::install_github("qingyuanzhao/mr.raps")

You can get help from the package manual or the main function

help(mr.raps)

GRAPPLE

Check out this new R package called GRAPPLE that accommodates multiple exposure factors and GWAS sample overlap:

devtools::install_github("jingshuw/grapple")

Tutorial and talks

• Tutorial on Mendelian randomization: This is a tutorial I used in the 2019 Causal Inference Summer Institute.

• 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.

Other information

Related publications can be found in the IV & MR project page.