Effective Genetic Risk Prediction Using Mixed Models

“To date, efforts to produce high-quality polygenic risk scores from genome-wide studies of common disease have focused on estimating and aggregating the effects of multiple SNPs. Here we propose a novel statistical approach for genetic risk prediction, based on random and mixed effects models. Our approach (termed GeRSI) circumvents the need to estimate the effect … Continue reading Effective Genetic Risk Prediction Using Mixed Models