GENETIC EPIDEMIOLOGY INVESTIGATION OF CORONARY ARTERY DISEASESEVERITY: IDENTIFICATION OF RISK FACTORS AND ASSOCIATED GENETIC VARIANTS

Abstract

Introduction

Coronary artery disease (CAD) is one of the top killers worldwide. Yet few studies have identified the non-genetic and genetic risk factors for CAD severity, especially in Singaporean population.

Methods

Subjects from the Singapore CAD Genetics Study (SCADGENS) were classified by multiple vessels diseased (MVD) status. Logistic regression was applied to identify the non-genetic risk factors, and Genome-wide association study (GWAS) was applied for the genetic tests.

Results

Diabetes (P=0.007) and dyslipidemia (P=0.016) were significantly associated with an increased risk of MVD in smokers.

All of the top 9 hits were from chromosome 13 and none of them attained the GWAS significance level of 5.00x10-8. The major allele of the top hit rs875589 is associated with risk, and might interact with ethnicity.

Conclusion

We identified non-genetic risk factors, as well as an ethnicity-interactive variant that is close to genome-wide significance for CAD severity in Singaporean population.