Learning High-Order Interactions for Polygenic Risk Prediction
Michela Carlotta Massi, Nicola Rares Franco, Andrea Manzoni, Anna Maria Paganoni, Hanla A. Park, Michael Hoffmeister, Hermann Brenner, Jenny C. Chang-Claude, Francesca Ieva, Paolo Zunino
This paper introduces hiPRS, a novel polygenic risk score method that models high-order SNP interactions, demonstrating superior performance in simulation studies and real data applications.
PLoS ONE · Feb 10, 2023Peer-reviewedGenomics