Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores
Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores
Polygenic risk scores have shown great promise in predicting complex disease risk and will become more accurate as training sample sizes increase. The standard approach for calculating risk scores involves linkage disequilibrium (LD)-based marker pruning and applying a p value threshold to association statistics, but this discards information and can …