Elliott J, Bodinier B, Bond TA, et al. - In order to find out whether a polygenic risk score for coronary artery disease (CAD) improves risk prediction beyond pooled cohort equations, an observational study of individuals of UK Biobank between 2006 and 2010 was conducted. They evaluated discrimination, calibration, and reclassification utilizing a risk threshold of 7.5%. The study population included a total of 352,660 individuals (mean age, 55.9 years; 205 297 women [58.2%]) to estimate the predictive accuracy of the examined models, there were 6272 incident CAD events over a median of 8 years of follow-up. The results of this study demonstrated that the addition of a polygenic risk score for CAD to pooled cohort equations was correlated with a statistically significant, yet modest, improvement in the predictive accuracy for incident CAD and developed risk stratification for only a small proportion of individuals.