mrrobust: a Stata package for MR-Egger regression type analyses

Tom Palmer ()
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Tom Palmer: Department of Mathematics and Statistics, Lancaster University

United Kingdom Stata Users' Group Meetings 2017 from Stata Users Group

Abstract: MR-Egger regression analyses are becoming increasingly common in Mendelian randomization studies (MR) (Bowden et al. 2015). MR-Egger analyses use summary level data, as reported by genome-wide association studies. Such data is conveniently available from the MR-base platform (Hemani et al., 2016). MR-Egger and related methods treat a multiple instrument MR analysis as a meta-analysis across the multiple genotypes. In the MR-Egger approach, bias from the pleiotropic effects of the multiple genotypes is treated as small study reporting bias in meta-analysis. They represent an important quality control check for any MR analysis incorporating multiple genotypes. We implemented several of these methods (inverse-variance weighted [IVW], MR-Egger and weighted median approaches, as well as a relevant plot) in a package for Stata called mrrobust (pleiotropy robust methods for MR). There are also implementations of these methods in R (Yavorska and Burgess 2016). mrrobust is freely available from https://github.com/remlapmot/mrrobust, which includes instructions on how to install the package from within Stata. We plan to add features over time.

Date: 2017-09-14
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