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Abstract
Participant overlap can induce overfitting bias into Mendelian randomization (MR) and polygenic risk score (PRS) studies. Here, we evaluated a block jackknife resampling framework for genome-wide association studies (GWAS) and PRS construction to mitigate overfitting bias in MR analyses and implemented this study design in a causal inference setting using data from the UK Biobank.
5 Authors
Si Fang
Gibran Hemani
Tom G Richardson
Tom R Gaunt
George Davey Smith
Enabling scientific discoveries that improve human health