Key result
A 12-SNP atrial fibrillation genetic risk score (top vs bottom quintile) was associated with a 2-fold increased risk for incident AF (HR 2.00; 95% CI 1.73-2.31; P=2.7×10^-21).
Why the study?
Does a 12-SNP genetic risk score predict incident atrial fibrillation and ischemic stroke in a community-based cohort?
Cohort (n=27,471)
Does a 12-SNP genetic risk score predict incident atrial fibrillation and ischemic stroke in a community-based cohort?
Hazard Ratio: 2 (95% CI 1.73–2.31)
p-value: p=2.7×10(-21)
A 12-SNP genetic risk score identifies individuals at significantly increased risk for future atrial fibrillation and ischemic stroke, modestly improving risk discrimination and reclassification.
May refine AF risk stratification; extends GWAS loci to incident events but requires prospective validation.
BACKGROUND AND PURPOSE: Atrial fibrillation (AF) is prevalent and there is a clinical need for biomarkers to identify individuals at higher risk for AF. Fixed throughout a life course and assayable early in life, genetic biomarkers may meet this need. Here, we investigate whether multiple single nucleotide polymorphisms together as an AF genetic risk score (AF-GRS) can improve prediction of one's risk for AF. METHODS: In 27 471 participants of the Malmö Diet and Cancer Study, a prospective, community-based cohort, we used Cox models that adjusted for established AF risk factors to assess the association of AF-GRS with incident AF and ischemic stroke. Median follow-up was 14.4 years for incident AF and 14.5 years for ischemic stroke. The AF-GRS comprised 12 single nucleotide polymorphisms that had been previously shown to be associated with AF at genome-wide significance. RESULTS: During follow-up, 2160 participants experienced a first AF event and 1495 had a first ischemic stroke event. Participants in the top AF-GRS quintile were at increased risk for incident AF (hazard ratio, 2.00; 95% confidence interval, 1.73-2.31; P=2.7×10(-21)) and ischemic stroke (hazard ratio, 1.23; 95% confidence interval, 1.04-1.46; P=0.02) when compared with the bottom quintile. Addition of the AF-GRS to established AF risk factors modestly improved both discrimination and reclassification (P<0.0001 for both). CONCLUSIONS: An AF-GRS can identify 20% of individuals who are at ≈2-fold increased risk for incident AF and at 23% increased risk for ischemic stroke. Targeting diagnostic or therapeutic interventions to this subset may prove clinically useful.
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Tada et al. (2014) conducted a cohort in Atrial fibrillation and ischemic stroke (n=27,471). Top quintile of atrial fibrillation genetic risk score (AF-GRS) vs. Bottom quintile of AF-GRS was evaluated on Incident AF (HR 2.00, 95% CI 1.73-2.31, p=2.7×10(-21)). A 12-SNP atrial fibrillation genetic risk score (top vs bottom quintile) was associated with a 2-fold increased risk for incident AF (HR 2.00; 95% CI 1.73-2.31; P=2.7×10^-21).
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