This study will use the GERA cohort to develop a polygenic risk score-guided precision medicine tool for statin treatment decisions. It will develop an algorithm that predicts baseline atherosclerotic cardiovascular disease (ASCVD) and statin-induced ASCVD relative risk reduction incorporating ASCVD polygenic risk score on top of traditional ASCVD risk prediction tools.
Optimization of statin regimens for atherosclerotic cardiovascular disease prevention using polygenic risk scores and real-world evidence
Investigator: Iribarren, Carlos
Funder: National Heart, Lung, and Blood Institute