Integrative polygenic risk score improves the prediction accuracy of complex traits and diseases

• DOI: 10.1016/j.xgen.2024.100523
• Publication Date: 2024-03-19T14:38:56Z
• Authors: Buu Truong; Leland E. Hull; Yunfeng Ruan; Qin Qin Huang; Whitney Hornsby; Hilary Martin; David A. van Heel; Ying Wang; Alicia R. Martin; S. Hong Lee; Pradeep Natarajan
• Keywords: Polygenic risk score

Polygenic risk scores (PRSs) are an emerging tool to predict the clinical phenotypes and outcomes of individuals. We propose PRSmix, a framework that leverages PRS corpus target trait improve prediction accuracy, PRSmix+, which incorporates genetically correlated traits better capture human genetic architecture for 47 32 diseases/traits in European South Asian ancestries, respectively. PRSmix demonstrated mean accuracy improvement 1.20-fold (95% confidence interval [CI], [1.10; 1.3]; p = 9.17 × 10