Prevention & lipidsCohort study
Comparison of performance of publicly available polygenic risk scores to predict clinically actionable coronary artery calcium scores: the BioHEART-CT cohort
- Cohort study
Authors' conclusion
Whilst most CAD PRS tools have been developed against clinical events, we show their ability to predict clinically relevant coronary calcification.
Study context
- Population
- Participants of the BioHEART-CT Discovery 1000 cohort presenting for clinically referred CT coronary angiography53 Polygenic Risk Scores (PRS) tools
- Participants
- 803 participants
- Exposure
- 53 publicly available coronary artery disease (CAD) PRS tools for predicting clinically significant coronary calcification
- Outcome
- Absolute CACS (CACS ≥100 AU) and Percentile CACS (CACS ≥75th age-/sex-adjusted percentile)
Main finding
As reported in the abstract
Percentile CACS (≥75th percentile)
PRS tools significantly associated after full adjustment
94.3%
Median OR per PRS SD
1.41 (IQR 1.23-1.60)
Top vs Bottom PRS quintile, odds of Percentile CACS ≥75th: up to
7.99-fold
Observational data: associations, not effects.
Further findings
Any detectable coronary calcium
- Participants with any detectable coronary calcium
- 487 (60.6%)
Pre-test probability, Low Framingham Risk Score (FRS) (subgroup)
- Incorporating a PRS increased pre-test probability
- 14% to 26%
Original publication
Comparison of performance of publicly available polygenic risk scores to predict clinically actionable coronary artery calcium scores: the BioHEART-CT cohort. Eur J Prev Cardiol. Published 16 September 2026. doi:10.1093/eurjpc/zwag480
Summarised from the published abstract; every number is checked against it