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Optimization of statin regimens for atherosclerotic cardiovascular disease prevention using polygenic risk scores and real-world evidence

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.

Investigator: Iribarren, Carlos

Funder: National Heart, Lung, and Blood Institute

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