MRMU: A New Paradigm for Mendelian Randomization by Accounting for Measured Covariates and Unmeasured Confounders
Xianghong Hu, Jiashun Xiao, Zhiwei Wang, Xinrui Huang, Hongyu Zhao, Can Yang
MRMU improves Mendelian randomization by accounting for measured covariates and unmeasured confounders, identifying robust risk factors for coronary artery disease and novel drug targets.
medRxiv · Jun 16, 2026 · PreprintGenetic & Genomic Medicine