ARC-omix scores are validated in two ancestrally varied U.S. cohorts — eMERGE IV (n=19,348) and All of Us (n=239,645) — with per-cluster performance reported across European-, African-, and Hispanic/Latino-ancestry participants.
Scores draw on large genetic studies spanning UK Biobank, All of Us, FinnGen, Million Veteran Program, and PAGE, covering ancestrally varied populations.
Each condition is scored with a dedicated PRSMix ensemble integrating PRS-CS, LDpred2, lassosum2, and clumping-and-thresholding through penalized regression on a held-out tuning set.
Each score is interpreted alongside standard clinical risk tools (the Pooled Cohort Equations) and family history, with discrimination and calibration evaluated separately by ancestry cluster.
Testing runs on Blended Genome-Exome sequencing performed by our partner lab — a CLIA-certified, CAP-accredited facility.
The C-statistic of the Pooled Cohort Equations rises from 0.719 to 0.753 when polygenic risk and family history are added together.
Patients in the top 5% of PRS with a positive family history have 3.79× the hazard of CHD vs. neither. Cox model adjusted for age, sex, 5 PCs.
PRS and family history capture partially non-overlapping genetic risk. A patient with both carries nearly 4× the baseline risk — a signal that standard clinical assessments miss.
2026
Review
Clinical use of polygenic risk scores: current status, barriers and future directions
Nature Reviews Genetics · 2026
View on PubMed →2025
RCT
Effect of disclosing a polygenic risk score for coronary heart disease on adverse cardiovascular events
Circulation: Genomic and Precision Medicine · 2025
View on PubMed →2024
Cohort
Associations of self-reported race, social context, and polygenic risk with coronary heart disease
Journal of the American College of Cardiology · 2024
View on PubMed →2022
Clinical
2016
RCT
Incorporating a genetic risk score into coronary heart disease risk estimates: effect on LDL cholesterol levels
Circulation · 2016
View on PubMed →