Key result
AF polygenic risk score linked to ~47% higher incident HF risk and improves 10-year prediction.
Why the study?
Heart failure shares genetic architecture with its risk factors, but the association and risk prediction performance of risk-factor polygenic risk scores for incident heart failure and its subtypes in bi-racial populations required assessment.
Does a polygenic risk score for atrial fibrillation improve prediction of incident heart failure beyond established risk equations in bi-racial populations?
Cohort (n=8,624)
Yes
Does a polygenic risk score for atrial fibrillation improve prediction of incident heart failure beyond established risk equations in bi-racial populations?
Effect estimate: HR 1.47 (95% CI 1.41-1.53)
p-value: p=<0.001
A polygenic risk score for atrial fibrillation significantly improves the prediction of lifetime risk for incident heart failure and its subtypes beyond established clinical risk equations.
No takes yet. Share an insight, caveat, or question.
AF polygenic risk scores may enhance HF prediction beyond clinical models; extends observational data but leaves prospective validation open.
Alkis et al. (2024) conducted a cohort in Heart failure (n=8,624). Polygenic risk score for atrial fibrillation (PRSAF) vs. Established HF risk prediction equation was evaluated on Incident heart failure (HR 1.47, 95% CI 1.41-1.53, p=<0.001). A polygenic risk score for atrial fibrillation was associated with incident heart failure (HR 1.47; 95% CI 1.41-1.53; P<0.001) and improved 10-year risk prediction over an established risk equation.
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