Literature DB >> 14715642

Genetic testing for cardiovascular disease susceptibility: a useful clinical management tool or possible misinformation?

Steve E Humphries1, Paul M Ridker, Philippa J Talmud.   

Abstract

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.

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Year:  2004        PMID: 14715642     DOI: 10.1161/01.ATV.0000116216.56511.39

Source DB:  PubMed          Journal:  Arterioscler Thromb Vasc Biol        ISSN: 1079-5642            Impact factor:   8.311


  15 in total

Review 1.  Genetic testing for atherosclerosis risk: inevitability or pipe dream?

Authors:  Matthew Lanktree; Jisun Oh; Robert A Hegele
Journal:  Can J Cardiol       Date:  2008-11       Impact factor: 5.223

Review 2.  Cardiovascular genomics: a biomarker identification pipeline.

Authors:  John H Phan; Chang F Quo; May Dongmei Wang
Journal:  IEEE Trans Inf Technol Biomed       Date:  2012-05-16

3.  The relationships between FAM5C SNP (rs10920501) variability and metabolic syndrome and inflammation in women with coronary heart disease.

Authors:  Jennifer L Cline; Theresa M Beckie
Journal:  Biol Res Nurs       Date:  2011-10-18       Impact factor: 2.522

4.  Genetic tests: clinical validity and clinical utility.

Authors:  Wylie Burke
Journal:  Curr Protoc Hum Genet       Date:  2014-04-24

5.  Introducing genetic testing for cardiovascular disease in primary care: a qualitative study.

Authors:  Jo B Middlemass; Momina F Yazdani; Joe Kai; Penelope J Standen; Nadeem Qureshi
Journal:  Br J Gen Pract       Date:  2014-05       Impact factor: 5.386

6.  ACCF/AHA/ACP 2009 competence and training statement: a curriculum on prevention of cardiovascular disease: a report of the American College of Cardiology Foundation/American Heart Association/American College of Physicians Task Force on Competence and Training (Writing Committee to Develop a Competence and Training Statement on Prevention of Cardiovascular Disease): developed in collaboration with the American Academy of Neurology; American Association of Cardiovascular and Pulmonary Rehabilitation; American College of Preventive Medicine; American College of Sports Medicine; American Diabetes Association; American Society of Hypertension; Association of Black Cardiologists; Centers for Disease Control and Prevention; National Heart, Lung, and Blood Institute; National Lipid Association; and Preventive Cardiovascular Nurses Association.

Authors:  C Noel Bairey Merz; Mark J Alberts; Gary J Balady; Christie M Ballantyne; Kathy Berra; Henry R Black; Roger S Blumenthal; Michael H Davidson; Sara B Fazio; Keith C Ferdinand; Lawrence J Fine; Vivian Fonseca; Barry A Franklin; Patrick E McBride; George A Mensah; Geno J Merli; Patrick T O'Gara; Paul D Thompson; James A Underberg
Journal:  J Am Coll Cardiol       Date:  2009-09-29       Impact factor: 24.094

7.  Butyrylcholinesterase K variant and the APOE-epsilon 4 allele work in synergy to increase the risk of coronary artery disease especially in diabetic patients.

Authors:  Asad Vaisi-Raygani; Zohreh Rahimi; Haidar Tavilani; Tayebeh Pourmotabbed
Journal:  Mol Biol Rep       Date:  2009-08-15       Impact factor: 2.316

Review 8.  Genetics of coronary artery disease and myocardial infarction.

Authors:  Xuming Dai; Szymon Wiernek; James P Evans; Marschall S Runge
Journal:  World J Cardiol       Date:  2016-01-26

Review 9.  Molecular genetics of atherosclerosis.

Authors:  Himadri Roy; Shalini Bhardwaj; Seppo Yla-Herttuala
Journal:  Hum Genet       Date:  2009-03-20       Impact factor: 4.132

10.  Assessing the impact of a combined analysis of four common low-risk genetic variants on autism risk.

Authors:  Jerome Carayol; Gerard D Schellenberg; Frederic Tores; Jörg Hager; Andreas Ziegler; Geraldine Dawson
Journal:  Mol Autism       Date:  2010-02-22       Impact factor: 7.509

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