| Title: | Polygenic risk score refines cardiovascular disease risk in individuals with type 2 diabetes at borderline or intermediate risk |
| Journal: | Journal of Diabetes Investigation |
| Published: | 3 Apr 2026 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/41928601/ |
| DOI: | https://doi.org/10.1111/jdi.70304 |
Publication 18101
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
To evaluate whether a coronary artery disease (CAD) polygenic risk score (PRS) can improve atherosclerotic cardiovascular disease (ASCVD) risk stratification in individuals with type 2 diabetes (T2D), particularly those at borderline or intermediate 10-year risk. In the UK Biobank (n = 340,299), we integrated CAD PRS into the Pooled Cohort Equations (PCE) to evaluate whether it improved the prediction of incident ASCVD in individuals with T2D at borderline and intermediate 10-year risk. CAD PRS was associated with ASCVD in T2D (1.18-fold). Among those at borderline and intermediate risk, PRS was strongly predictive (1.47-fold and 1.11-fold), and individuals in the top 10% had 1.86-fold and 1.32-fold higher risk. Integration of PRS into PCE modestly improved AUROC (0.050, P = 0.024) and significantly improved net reclassification (0.343, P = 2.62 × 10-4). CAD PRS enhances ASCVD risk prediction in individuals with T2D, supporting utilizing genetic information in tailored risk stratification and preventive care.</p>
5 Authors
- Jaewon Choi
- Hyunsuk Lee
- Tae-Min Rhee
- Jun-Bean Park
- Soo Heon Kwak
1 Application
| Application ID | Title |
|---|---|
| 91312 | Evaluation of polygenic risk prediction in the development of age-related disease between different ethnicity: comparison of East Asians and Europeans |
Enabling scientific discoveries that improve human health