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Polygenic risk scores for coronary artery disease capture 10.8% to 33.1% of benchmark patients in early-onset CAD cohort.

Polygenic risk scores for coronary artery disease capture 10.8% to 33.1% of benchmark patients in ea…
Photo by Samuel Ramos / Unsplash
Key Takeaway
Consider that polygenic risk scores may identify a subset of early-onset CAD patients, but individual-level prediction remains uncertain.

This observational cohort study evaluated polygenic risk scores (PRSs) for coronary artery disease in 1,184 early-onset patients (<55 years) with a clinical profile of low 10-year risk and no diabetes or severe hypercholesterolemia. The study compared PRSs to established non-genetic biomarkers, such as lipoprotein(a), to identify a benchmark patient group.

The primary outcome was the proportion of benchmark patients captured by 58 CAD PRSs, which varied from 10.8% to 33.1%. The top-performing PRS was 2-fold more effective at identifying the benchmark group compared to non-genetic biomarkers. Secondary analysis showed that the lipid profiles of benchmark patients never captured by any score were significantly healthier.

Safety and tolerability were not reported, as no adverse events, serious adverse events, or discontinuations were documented. Key limitations include the observational design, which precludes causal inference, and the lack of reported funding or conflicts of interest.

The practice relevance is a framework for validating the clinical readiness of PRSs. Given the observational nature, these results suggest an association but do not confirm that PRSs improve individual-level risk prediction.

Study Details

Study typeCohort
Sample sizen = 1,184
EvidenceLevel 3
PublishedApr 2026
View Original Abstract ↓
Polygenic risk scores (PRSs) are typically validated using population-level metrics, masking variability in individual-level risk prediction and hindering clinical translation. To address this, we introduced a novel framework using a "benchmark" cohort (N=1184) of "unexpected coronary artery disease (CAD)": early-onset patients (<55 years) with a clinical profile of low 10-year risk, no diabetes or severe hypercholesterolemia that excludes therapy indications. The occurrence of early CAD in these clinically low-risk individuals establishes a "ground truth" for high genetic risk. We evaluated 58 published CAD PRSs and demonstrated a disconnection between population-level performance and individual-level accuracy (proportion of benchmark patients captured). The proportion captured by 58 PRSs varied from 10.8% to 33.1%, and the top-performing score was 2-fold more effective at identifying the benchmark group than established non-genetic biomarkers, such as lipoprotein(a). Furthermore, benchmark patients never captured by any score exhibited significantly healthier lipid profiles. Our framework provides an essential method for validating clinical readiness of PRSs.
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