Bayesian Mendelian Randomization Analysis for Latent Exposures Leveraging GWAS Summary Statistics for Traits Co-Regulated by the Exposures
Yue Yu, Andrew Lakkis, Bingxin Zhao, Jin Jin
This paper introduces a Bayesian Mendelian randomization framework to analyze causal effects of latent exposures on disease outcomes using GWAS summary statistics for co-regulated traits.
medRxiv · Nov 25, 2024 · PreprintGenetic & Genomic Medicine