Simulated sample splitting approach to address biases due to instrument selection and participant overlap in two-sample Mendelian Randomization studies
Amanda Forde, Gibran Hemani, John P. Ferguson
The paper introduces MR-SimSS, a method to correct biases in two-sample MR studies by simulating independent data subsets from GWAS summary statistics, improving causal inference accuracy.
PLoS Genetics · May 8, 2026Peer-reviewedGenetics