Genetic Testing for Cardiovascular Disease Susceptibility: a Useful Clinical Management Tool or Possible Misinformation?
Overview
Affiliations
Genetic susceptibility tests are already advertised on the Internet to identify individuals at above average risk for cardiovascular disease (CVD), such as deep vein thrombosis, hyperlipidemia, or atherosclerosis, whereas other tests claim to predict response to a particular drug treatment. Some kits are available to the public directly, bypassing a doctor. Their value, however, must be considered carefully, because although a genotype may be strongly and consistently associated with an intermediate trait, and because the intermediate trait is a strong predictor of CVD risk, there may be little or no association of genotype with risk over and above that of the measured trait. This is because multigenic effects and environmental modification (context dependency) of genotype effects determine CVD risk. An individual's personal characteristics and plasma risk-trait levels (which reflect both genotype and exposure) at present are the best predictors of clinical outcome. Only when genetic tests surpass this, possibly by the inclusion of many functional common variants, in conjunction with their context-dependent effects on risk, might their usefulness in clinical management be realized. Here we review some of the particular issues and concerns raised by CVD-risk genetic testing, and suggest areas of further research to address these issues.
Apolipoprotein C-III and cardiovascular diseases: when genetics meet molecular pathologies.
Dib I, Khalil A, Chouaib R, El-Makhour Y, Noureddine H Mol Biol Rep. 2021; 48(1):875-886.
PMID: 33389539 PMC: 7778846. DOI: 10.1007/s11033-020-06071-5.
Genetics of coronary artery disease and myocardial infarction.
Dai X, Wiernek S, Evans J, Runge M World J Cardiol. 2016; 8(1):1-23.
PMID: 26839654 PMC: 4728103. DOI: 10.4330/wjc.v8.i1.1.
Introducing genetic testing for cardiovascular disease in primary care: a qualitative study.
Middlemass J, Yazdani M, Kai J, Standen P, Qureshi N Br J Gen Pract. 2014; 64(622):e282-9.
PMID: 24771842 PMC: 4001138. DOI: 10.3399/bjgp14X679714.
Genome paths: a way to personalized and predictive medicine.
Baranov V Acta Naturae. 2012; 1(3):70-80.
PMID: 22649616 PMC: 3347528.
Cardiovascular genomics: a biomarker identification pipeline.
Phan J, Quo C, Wang M IEEE Trans Inf Technol Biomed. 2012; 16(5):809-22.
PMID: 22614726 PMC: 5003026. DOI: 10.1109/TITB.2012.2199570.