Abstract
Background: Polygenic risk scores (PRSs) may enhance atrial fibrillation (AF) risk prediction when added to conventional risk factors. Most AF-PRS studies, however, focus on individuals with existing cardiovascular disease, rather than initially healthy older adults followed prospectively. Objectives: The objective of the study was to evaluate the predictive performance of a recent (2025) AF-PRS for incident AF in a cohort of healthy older individuals without prior cardiovascular events. Methods: AF-PRS was calculated in 12,906 individuals aged ≥65 years without prior cardiovascular disease or AF at enrollment into the ASPREE (Aspirin in Reducing Events in the Elderly) trial. Cox proportional hazards models assessed HRs) per SD of AF-PRS, alone and with clinical risk factors (age, sex, body mass index, hypertension, diabetes, dyslipidaemia, thyroid-stimulating hormone, smoking, and alcohol). We compared AF-PRS to clinical scores (Cohorts for Heart and Aging Research in Genomic Epidemiology [CHARGE]-AF and hypertension, age, raised body mass index, male sex, sleep apnea, smoking, and Alcohol score[HARMS2-AF]). Model performance was evaluated using Harrell's C-index and likelihood ratio tests. Sex-stratified analysis was also conducted. Results: Over a median 4.5-years of follow-up, 654 incident AF cases occurred. AF-PRS was associated with incident AF (adjusted HR: 1.74 per SD; 95% CI: 1.58-1.84) (compared to CHARGE-AF [HR: 1.50] and HARMS2-AF [HR: 1.32] [all P < 0.0001]). Individuals in the highest AF-PRS quintile had 5.44-fold higher risk than those in the lowest (P < 0.0001). The AF-PRS showed stronger association in women than men (HR: 7.09 vs 4.51; interaction P = 0.007). AF-PRS improved prediction beyond clinical factors, increasing the C-index by 8.2% (0.63 → 0.71), 9.5% over CHARGE-AF (0.61 → 0.70), and 10.5% over HARMS2-AF (0.57 → 0.65). Conclusions: The use of an AF-PRS improves risk prediction of incident AF above clinical risk factors in older individuals without cardiovascular disease.
| Original language | English |
|---|---|
| Article number | 102245 |
| Number of pages | 11 |
| Journal | JACC: Advances |
| Volume | 4 |
| Issue number | 11, Part 1 |
| Early online date | 21 Oct 2025 |
| DOIs | |
| Publication status | Published - Nov 2025 |
Funding
| Funders | Funder number |
|---|---|
| NHMRC National Health and Medical Research Council | 334047, 1127060, 2026325 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Fingerprint
Dive into the research topics of 'Genomic Risk Prediction of Incident Atrial Fibrillation in Older Individuals Without Prior Cardiovascular Disease'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver