Mendelian randomization for causal inference accounting for pleiotropy and sample structure using genome-wide summary statistics

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 rel...

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Veröffentlicht in:Proceedings of the National Academy of Sciences - PNAS 2022-07, Vol.119 (28), p.e2106858119
Hauptverfasser: Hu, Xianghong, Zhao, Jia, Lin, Zhixiang, Wang, Yang, Peng, Heng, Zhao, Hongyu, Wan, Xiang, Yang, Can
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Sprache:eng
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