Key result
Individuals in the top 20% of a new genomic risk score (metaGRS) had a substantially higher risk of coronary artery disease compared with the bottom 20% (HR 4.17; 95% CI 3.97-4.38).
Why the study?
Does a meta-analytic genomic risk score (metaGRS) improve risk prediction for incident coronary artery disease in the general adult population compared to conventional risk factors?
Population
482,629 adults from the UK general population aged 40-69 years at recruitment, including 22,242 CAD cases…
Comparison
A genomic risk score for CAD consisting of 1.7… vs Lower metaGRS quintiles and conventional risk…
Design
Cohort
Follow-up
mean 6.2 years
Authors
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May enhance CAD polygenic risk stratification; leaves open prospective validation for primary prevention utility.
Observational (n=482,629)
Does a meta-analytic genomic risk score (metaGRS) improve risk prediction for incident coronary artery disease in the general adult population compared to conventional risk factors?
Hazard Ratio: 4.17 (95% CI 3.97–4.38)
A novel 1.7 million variant genomic risk score (metaGRS) significantly improves CAD risk prediction beyond conventional risk factors, identifying individuals at high risk early in life for targeted primary prevention.
Inouye et al. (2018) conducted an observational in Coronary artery disease (CAD) (n=482,629). Genomic risk score for CAD (metaGRS) vs. Bottom 20% of the metaGRS distribution was evaluated on Coronary artery disease (HR 4.17, 95% CI 3.97-4.38). Individuals in the top 20% of a new genomic risk score (metaGRS) had a substantially higher risk of coronary artery disease compared with the bottom 20% (HR 4.17; 95% CI 3.97-4.38).