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

  • Peter Daniel Fransquet
  • , Chenglong Yu
  • , Cammie Tran
  • , Sultana Monira Hussain
  • , Johannes T. Neumann
  • , Jocasta Ball
  • , Tian Lin
  • , Lawrence Beilin
  • , Mark R. Nelson
  • , Kevan R. Polkinghorne
  • , Zhen Zhou
  • , Diane Fatkin
  • , Amy Brodtmann
  • , Andrew Tonkin
  • , John J. McNeil
  • , Paul Lacaze

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Article number102245
Number of pages11
JournalJACC: Advances
Volume4
Issue number11, Part 1
Early online date21 Oct 2025
DOIs
Publication statusPublished - Nov 2025

Funding

FundersFunder number
NHMRC National Health and Medical Research Council 334047, 1127060, 2026325

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

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