Arrhythmias & electrophysiologyMeta-analysis

Cardiomyopathy Gene Variants and Polygenic Risk Scores in Atrial Fibrillation

J Am Coll CardiolPublished

  • Cohort study with meta-analysis
  • 2 cohorts (UKB and AoU)
  • random-effects meta-analysis

Authors' conclusion

Genetic variants that cause cardiomyopathy also increase the risk of AF, even in individuals without heart failure or overt ventricular disease.

Study context

Population
Participants of UK Biobank and All of UsUKB and AoU
Participants
655,796 participants
Comparison
Variant carriers vs Non-carriers
Outcome
Incident AF

Pooled result

As reported in the abstract

AF
Disease-causing variant vs Non-carriersEstimate (95% CI)P value
AF
HR 1.73(1.59–1.89)
P < 0.001
adjusted for incident ventricular cardiomyopathy or clinical HF
adjusted HR 1.55(1.46–1.64)
P < 0.001

Further pooled results

Cumulative atrial fibrillation (AF) risk to age 75, by variant and PRSAF quintile · birth to 75 years

Variant + top PRSAF quintile, UKB
32.5%
Variant + top PRSAF quintile, AoU
32.4%
No variant + lowest PRSAF quintile, UKB
9.8%
No variant + lowest PRSAF quintile, AoU
11.0%

Cumulative cardiomyopathy risk, variant + top disease-specific polygenic risk scores (PRS) quintile

DCM, UKB
5.9%
DCM, AoU
15.2%
HCM, UKB
11.7%
HCM, AoU
19.1%

Original publication

Cardiomyopathy Gene Variants and Polygenic Risk Scores in Atrial Fibrillation. J Am Coll Cardiol. Published 18 February 2026. doi:10.1016/j.jacc.2025.12.014

Summarised from the published abstract; every number is checked against it