Combining Genomics With Lipid and Inflammatory Biomarkers to Predict Coronary Artery Disease Risk: UK Biobank Study - PubMed
6 hours ago
- #Biomarkers
- #Coronary Artery Disease
- #Genomics
- The study evaluates the predictive value of combining CAD polygenic risk score (PRS), LDL-C, Lp(a), and hsCRP for incident coronary artery disease (CAD).
- Participants from the UK Biobank (n=215,695) aged 40-69 were followed for 12 years, with 4,721 men and 2,425 women developing CAD.
- Elevated biomarkers showed varying hazard ratios (HRs): CAD PRS (1.79), LDL-C (1.60), Lp(a) (1.20), and hsCRP (1.64).
- CAD PRS had a stronger association in men (HR per SD: 1.49) than women (HR per SD: 1.37).
- All biomarkers conferred greater HRs at younger ages (P < 0.0001).
- Individuals with all biomarkers elevated had a 4.65-fold increased CAD risk compared to those with no elevated biomarkers.
- A combined 4-biomarker model had a higher C-statistic (0.753) than pooled cohort equations (0.740).
- The study concludes that measuring all four biomarkers may improve midlife CAD risk prediction for both sexes.