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Recent success in the discovery of coronary artery disease genes
Robert Roberts1, Li Chen, George A Wells
1University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON K1Y 4W7, Canada. rroberts@ottawaheart.ca
Insights
Genetic predisposition significantly impacts coronary artery disease (CAD) risk. Genome-wide association studies identified 23 CAD risk loci, revealing novel genetic factors beyond traditional risk markers.
Area of Science:
- Genetics and Cardiovascular Disease Epidemiology
Background:
- Genetic predisposition accounts for about 50% of susceptibility to coronary artery disease (CAD).
- Traditional linkage analysis is insufficient for mapping genes involved in complex diseases like CAD.
Purpose of the Study:
- To identify genes predisposing individuals to CAD using advanced genetic technologies.
- To understand the genetic architecture of CAD, confirming its polygenic nature.
Main Methods:
- Utilized single-nucleotide polymorphism (SNP) arrays for genome-wide association studies (GWAS).
- Employed an unbiased approach to scan the entire genome for genetic markers associated with CAD.
Main Results:
- Identified 23 loci linked to increased CAD risk through GWAS.
- Confirmed that CAD is a polygenic disease with multiple genes contributing minimal risk.
- Discovered novel genetic loci not associated with known CAD risk factors, often in transcriptional regulatory regions.
Conclusions:
- Genome-wide association studies have revolutionized the identification of CAD-associated genes.
- Novel genetic loci influencing CAD risk were discovered, primarily in non-coding regulatory DNA regions.
Abstract:
For more than 50 years, epidemiological studies have indicated that genetic predisposition accounts for approximately 50% of the susceptibility to coronary artery disease (CAD) and its sequelae, including myocardial infarction. Since common diseases such as CAD are caused by multiple genes, the age-old method of linkage analysis used to map monogenic Mendelian disorders in families unfortunately lacks the required sensitivity. The technology to identify genes predisposing individuals to CAD and other common diseases did not become available until 2005. This technology provided computerized arrays containing hundreds of thousands of DNA markers in the form of single-nucleotide polymorphisms (SNPs). This made it possible to pursue an unbiased approach referred to as genome-wide association studies. The first gene for CAD was simultaneously identified by 2 independent groups in 2007. In a very short interval, a total of 23 loci were mapped that were linked to increased risk for CAD. The results of these studies confirm that CAD is caused by multiple genes, each contributing minimal risk. The most exciting and novel findings are that these loci do not act through known risk factors for CAD and that the loci are more likely to be in DNA regions that regulate transcription rather than being in coding regions for protein.
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