A comprehensive, MENA-focused approach integrating polygenic risk scores (PRS), monogenic variant testing, clinical factors, and lifestyle to deliver individualized Breast Cancer prevention strategies.
Economic Modeling of Polygenic Risk Prediction of Coronary Artery Disease in Childhood
This landmark study published in npj Cardiovascular Health showed that childhood polygenic risk score (PRS)-guided prevention for coronary artery disease (CAD) could enable earlier targeted intervention, reduce future cardiovascular events, and generate major long-term health and economic benefits. The study projected that early identification of high-risk children could prevent 72 CAD events per 10,000 children and achieve a return on investment (ROI) exceeding 3600%, supporting a shift toward genome-first, early-life preventive cardiology.
The PROACT Study and Improving Prevention of ASCVD
The editorial highlights that the PROACT study introduces a novel genome-first strategy using polygenic risk scores (PRS) to identify individuals who appear low-risk by traditional calculators but frequently harbor subclinical coronary artery disease. It argues that prevention must evolve beyond age-based risk models toward earlier, causal-factor–guided intervention integrating genomics, imaging, and targeted therapy.
Polygenic Risk Based Detection and Treatment of Subclinical
Coronary Atherosclerosis in the PROACT Clinical Trials
This Landmark JAMA 2026 PROACT trials showed that adults with high coronary artery disease (CAD) polygenic risk scores but low clinical risk were prospectively identified from a biobank and evaluated with coronary CT angiography, demonstrating that about half had previously undetected subclinical plaque despite favorable cardiovascular health. These findings show the feasibility of genome-first prevention strategies and suggest that polygenic risk–guided identification could enable earlier targeted pharmacologic prevention in individuals overlooked by conventional risk models.