Article
Mendelian randomization for causal inference accounting for pleiotropy and sample structure using genome-wide summary statistics.
Proceedings of the National Academy of Sciences of the United States of America - 12 Jul 2022
Hu Xianghong, Zhao Jia, Lin Zhixiang, Wang Yang, Peng Heng, Zhao Hongyu, Wan Xiang, Yang Can
Abstract excerpt
Mendelian randomization (MR) is a valuable tool for inferring causal relationships among a wide range of traits using summary statistics from genome-wide association studies (GWASs). Existing summary-level MR methods often rely on strong assumptions, resulting in many false-positive findings. To relax MR assumptions, ongoing research has been primarily focused on accounting for confounding due to pleiotropy....
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