Arrhythmias & electrophysiology

Genomic Risk Prediction of Incident Atrial Fibrillation in Older Individuals Without Prior Cardiovascular Disease

JACC AdvPublished Prospective cohort study

Authors' conclusion

The use of an AF-PRS improves risk prediction of incident AF above clinical risk factors in older individuals without cardiovascular disease.

Study context

Population
Individuals aged ≥65 years without prior CVD or atrial fibrillation (AF) at enrolment into the ASPREE trial654 incident AF cases
Participants
12,906 individuals
Exposure
AF polygenic risk score vs clinical risk factors and clinical scores
Outcome
Incident AF (HR per SD of AF-PRS; C-index)
Follow-up
median 4.5-years of follow-up
Methodological detailssecondary analysis of the ASPREE trial, sex-stratified analysis
  • Secondary analysis of the ASPREE trial
  • Sex-stratified analysis

Main finding

As reported in the abstract

Incident AF

AF-PRS

0.63 → 0.71

C-index, clinical factors → plus AF-PRS

CHARGE-AF

HR
1.50
C-index → plus AF-PRS
0.61 → 0.70

HARMS2-AF

HR
1.32
C-index → plus AF-PRS
0.57 → 0.65
Adjusted hazard ratio, per SD (95% CI)P value
AF-PRS
1.74(1.58–1.84)
P < 0.0001

Per SD, as printed

AF-PRS
risk, highest vs lowest quintile 5.44-fold; P < 0.0001
C-index increase with AF-PRS over clinical factors
8.2%
C-index increase with AF-PRS over CHARGE-AF
9.5%
C-index increase with AF-PRS over HARMS2-AF
10.5%

Observational data: associations, not effects.

Further findings

OutcomeHR
Incident AF by sex (subgroup)AF-PRS · women7.09
Incident AF by sex (subgroup)AF-PRS · men4.51
  • Incident AF by sex (subgroup): interaction P = 0.007

Original publication

Genomic Risk Prediction of Incident Atrial Fibrillation in Older Individuals Without Prior Cardiovascular Disease. JACC Adv. Published 21 October 2025. doi:10.1016/j.jacadv.2025.102245

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