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A Journey through Genetic Architecture and Predisposition of Coronary Artery Disease.
Roberts, Robert; Chang, Chih Chao.
Affiliation
  • Roberts R; 1Cardiovascular Genomics & Genetics, University of Arizona, College of Medicine, Phoenix, AZ, USA; 2Cardiovascular Genomics & Genetics, Phoenix, AZ, USA.
  • Chang CC; 1Cardiovascular Genomics & Genetics, University of Arizona, College of Medicine, Phoenix, AZ, USA; 2Cardiovascular Genomics & Genetics, Phoenix, AZ, USA.
Curr Genomics ; 21(5): 382-398, 2020 Aug.
Article in En | MEDLINE | ID: mdl-33093801
ABSTRACT

INTRODUCTION:

To halt the spread of coronary artery disease (CAD), the number one killer in the world, requires primary prevention. Fifty percent of all Americans are expected to experience a cardiac event; the challenge is identifying those at risk. 40 to 60% of predisposition to CAD is genetic. The first genetic risk variant, 9p21, was discovered in 2007. Genome-Wide Association Studies has since discovered hundreds of genetic risk variants. The genetic burden for CAD can be expressed as a single number, Genetic Risk Score (GRS). Assessment of GRS to risk stratify for CAD was superior to conventional risk factors in several large clinical trials assessing statin therapy, and more recently in a population of nearly 500,000 (UK Biobank). Studies were performed based on prospective genetic risk stratification for CAD. These studies showed that a favorable lifestyle was associated with a 46% reduction in cardiac events and programmed exercise, a 50% reduction in cardiac events. Genetic risk score is superior to conventional risk factors, and is markedly attenuated by lifestyle changes and drug therapy. Genetic risk can be determined at birth or any time thereafter.

CONCLUSION:

Utilizing the GRS to risk stratify young, asymptomatic individuals could provide a paradigm shift in the primary prevention of CAD and significantly halt its spread.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Curr Genomics Year: 2020 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Curr Genomics Year: 2020 Document type: Article Affiliation country: Estados Unidos