Benchmarking Mendelian Randomization methods for causal inference using genome-wide association study summary statistics
Xianghong Hu,
Mingxuan Cai,
Jiashun Xiao
et al.
Abstract:Mendelian Randomization (MR), which utilizes genetic variants as instrumental variables (IVs), has gained popularity as a method for causal inference between phenotypes using genetic data. While efforts have been made to relax IV assumptions and develop new methods for causal inference in the presence of invalid IVs due to confounding, the reliability of MR methods in real-world applications remains uncertain. To bridge this gap, we conducted a benchmark study evaluating 15 MR methods using real-world genetic … Show more
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