Key result
Adding a 12-allele genetic risk score to a clinical risk algorithm improved the C-index for incident atrial fibrillation from 0.718 to 0.741 (P=0.001) but did not improve clinical reclassification.
Why the study?
Does the addition of a genetic risk score improve atrial fibrillation risk prediction in women without cardiovascular disease?
Cohort (n=20,822)
Does the addition of a genetic risk score improve atrial fibrillation risk prediction in women without cardiovascular disease?
Absolute Event Rate: 0.741% vs 0.718%
p-value: p=0.001
Adding a genetic risk score to a simple clinical model modestly improves predictive accuracy for incident AF in women without CVD, but does not improve reclassification into discrete clinical risk categories.
No takes yet. Share an insight, caveat, or question.
Does not support adding genetic scores to AF risk models in women; leaves open their incremental value beyond clinical algorithms.
Everett et al. (2013) conducted a cohort in Atrial fibrillation (n=20,822). Genetic risk score (12 risk alleles in 9 loci) vs. Clinical AF risk algorithm alone was evaluated on C-index for incident atrial fibrillation (95% CI 0.709-0.774, p=0.001). Adding a 12-allele genetic risk score to a clinical risk algorithm improved the C-index for incident atrial fibrillation from 0.718 to 0.741 (P=0.001) but did not improve clinical reclassification.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: