Genotype-informed estimation of risk of coronary heart disease based on genome-wide association data linked to the electronic medical record.

ABSTRACT:

Background

Susceptibility variants identified by genome-wide association studies (GWAS) have modest effect sizes. Whether such variants provide incremental information in assessing risk for common 'complex' diseases is unclear. We investigated whether measured and imputed genotypes from a GWAS dataset linked to the electronic medical record alter estimates of coronary heart disease (CHD) risk.

Methods

Study participants (n = 1243) had no known cardiovascular disease and were considered to be at high, intermediate, or low 10-year risk of CHD based on the Framingham risk score (FRS) which includes age, sex, total and HDL cholesterol, blood pressure, diabetes, and smoking status. Of twelve SNPs identified in prior GWAS to be associated with CHD, four were genotyped in the parti

SUBMITTER: Ding K 

PROVIDER: S-EPMC3269823 | biostudies-literature | 2011 Nov

REPOSITORIES: biostudies-literature