Exploring and Accounting for Genetically Driven Effect Heterogeneity in Mendelian Randomization.

ABSTRACT: Mendelian randomization (MR) is a framework to estimate the causal effect of a modifiable health exposure, drug target or pharmaceutical intervention on a downstream outcome by using genetic variants as instrumental variables. A crucial assumption allowing estimation of the average causal effect in MR, termed homogeneity, is that the causal effect does not vary across levels of any instrument used in the analysis. In contrast, the science of pharmacogenetics seeks to actively uncover and exploit genetically driven effect heterogeneity for the purposes of precision medicine. In this study, we consider a recently proposed method for performing pharmacogenetic analysis on observational data-the Triangulation WIthin a STudy (TWIST) framework-and explore how it can be combined with traditional

SUBMITTER: Jaitner A 

PROVIDER: S-EPMC11656040 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature