A Bayesian approach to Mendelian randomization using summary statistics in the univariable and multivariable settings with correlated pleiotropy

We propose a Bayesian framework for performing Mendelian randomization with potentially pleiotropic genetic instruments. Our proposed method, MR-Horse, is shown to produce unbiased causal effect estimates while avoiding inflated false positive rates, even with high levels of pleiotropy and weak instruments. We further extend the approach to the multivariable setting.

Source: The American Journal of Human Genetics - January 4, 2024 Category: Genetics & Stem Cells Authors: Andrew J. Grant, Stephen Burgess Tags: Article Source Type: research