Identification of individuals at highest risk of coronary artery disease (CAD)—ideally before
onset—remains an important public health need. Prior studies have developed genome …

Background: Coronary artery disease (CAD) represents one of the leading causes of
morbidity and mortality worldwide. Given the healthcare risks and societal impacts …

Objective: To determine the relationship of a genome-wide polygenic score for coronary
artery disease (GPSCAD) with lifetime trajectories of CAD risk, directly compare its predictive …

Polygenic risk scores represent a method of aggregating an individual's genetic information,
weighted by associations between genetic variants and disease outcomes identified from …

Background Genome-wide polygenic scores (GPS) integrate information from many
common DNA variants into a single number. Because rates of coronary artery disease …

Background: There is considerable interest in whether genetic data can be used to improve
standard cardiovascular disease risk calculators, as the latter are routinely used in clinical …

We performed a meta-analysis of 14 genome-wide association studies of coronary artery
disease (CAD) comprising 22,233 individuals with CAD (cases) and 64,762 controls of …

Background: Coronary artery disease (CAD) has substantial heritability and a polygenic
architecture. However, the potential of genomic risk scores to help predict CAD outcomes …

Importance The incremental value of polygenic risk scores in addition to well-established
risk prediction models for coronary artery disease (CAD) is uncertain. Objective To examine …

We report a genome-wide association study (GWAS) of coronary artery disease (CAD)
incorporating nearly a quarter of a million cases, in which existing studies are integrated with …