Literature DB >> 18987759

Genetic testing for atherosclerosis risk: inevitability or pipe dream?

Matthew Lanktree1, Jisun Oh, Robert A Hegele.   

Abstract

Family history is a risk factor for coronary artery disease (CAD). However, defining this risk at the DNA level has been elusive. In 2007, four genome-wide association studies reported a strong association between CAD and a region on chromosome 9p21. The high-risk genotype was identified in up to 30% of individuals, creating the potential for a clinical genetic test to assist in the calculation of a patient's CAD risk. However, the reported effect size of the association is modest (OR of approximately 1.3). The present paper examines the feasibility of including DNA tests in CAD risk prediction algorithms. The greatest contribution from the 9p21 association is likely yet to come, as further studies identify the mechanistic basis for the association, possibly leading to additional insights into the progression, prevention and treatment of CAD.

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Year:  2008        PMID: 18987759      PMCID: PMC2644538          DOI: 10.1016/s0828-282x(08)70194-6

Source DB:  PubMed          Journal:  Can J Cardiol        ISSN: 0828-282X            Impact factor:   5.223


  32 in total

Review 1.  Genome-wide association studies for common diseases and complex traits.

Authors:  Joel N Hirschhorn; Mark J Daly
Journal:  Nat Rev Genet       Date:  2005-02       Impact factor: 53.242

2.  How many genes underlie the occurrence of common complex diseases in the population?

Authors:  Quanhe Yang; Muin J Khoury; Jm Friedman; Julian Little; W Dana Flanders
Journal:  Int J Epidemiol       Date:  2005-07-25       Impact factor: 7.196

3.  A comparison of the PROCAM and Framingham point-scoring systems for estimation of individual risk of coronary heart disease in the Second Northwick Park Heart Study.

Authors:  Jackie A Cooper; George J Miller; Steve E Humphries
Journal:  Atherosclerosis       Date:  2005-07       Impact factor: 5.162

4.  The use of meta-analysis risk estimates for candidate genes in combination to predict coronary heart disease risk.

Authors:  F Drenos; J C Whittaker; S E Humphries
Journal:  Ann Hum Genet       Date:  2007-03-30       Impact factor: 1.670

5.  A common variant on chromosome 9p21 affects the risk of myocardial infarction.

Authors:  Anna Helgadottir; Gudmar Thorleifsson; Andrei Manolescu; Solveig Gretarsdottir; Thorarinn Blondal; Aslaug Jonasdottir; Adalbjorg Jonasdottir; Asgeir Sigurdsson; Adam Baker; Arnar Palsson; Gisli Masson; Daniel F Gudbjartsson; Kristinn P Magnusson; Karl Andersen; Allan I Levey; Valgerdur M Backman; Sigurborg Matthiasdottir; Thorbjorg Jonsdottir; Stefan Palsson; Helga Einarsdottir; Steinunn Gunnarsdottir; Arnaldur Gylfason; Viola Vaccarino; W Craig Hooper; Muredach P Reilly; Christopher B Granger; Harland Austin; Daniel J Rader; Svati H Shah; Arshed A Quyyumi; Jeffrey R Gulcher; Gudmundur Thorgeirsson; Unnur Thorsteinsdottir; Augustine Kong; Kari Stefansson
Journal:  Science       Date:  2007-05-03       Impact factor: 47.728

Review 6.  Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors.

Authors:  F E Harrell; K L Lee; D B Mark
Journal:  Stat Med       Date:  1996-02-28       Impact factor: 2.373

7.  Candidate gene genotypes, along with conventional risk factor assessment, improve estimation of coronary heart disease risk in healthy UK men.

Authors:  Steve E Humphries; Jackie A Cooper; Philippa J Talmud; George J Miller
Journal:  Clin Chem       Date:  2006-11-27       Impact factor: 8.327

8.  A common allele on chromosome 9 associated with coronary heart disease.

Authors:  Ruth McPherson; Alexander Pertsemlidis; Nihan Kavaslar; Alexandre Stewart; Robert Roberts; David R Cox; David A Hinds; Len A Pennacchio; Anne Tybjaerg-Hansen; Aaron R Folsom; Eric Boerwinkle; Helen H Hobbs; Jonathan C Cohen
Journal:  Science       Date:  2007-05-03       Impact factor: 47.728

9.  Relevance of genetics and genomics for prevention and treatment of cardiovascular disease: a scientific statement from the American Heart Association Council on Epidemiology and Prevention, the Stroke Council, and the Functional Genomics and Translational Biology Interdisciplinary Working Group.

Authors:  Donna K Arnett; Alison E Baird; Ruth A Barkley; Craig T Basson; Eric Boerwinkle; Santhi K Ganesh; David M Herrington; Yuling Hong; Cashell Jaquish; Deborah A McDermott; Christopher J O'Donnell
Journal:  Circulation       Date:  2007-05-21       Impact factor: 29.690

10.  Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls.

Authors: 
Journal:  Nature       Date:  2007-06-07       Impact factor: 49.962

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  5 in total

1.  Extremes of unexplained variation as a phenotype: an efficient approach for genome-wide association studies of cardiovascular disease.

Authors:  Matthew B Lanktree; Robert A Hegele; Nicholas J Schork; J David Spence
Journal:  Circ Cardiovasc Genet       Date:  2010-04

2.  A multiclass likelihood ratio approach for genetic risk prediction allowing for phenotypic heterogeneity.

Authors:  Yalu Wen; Qing Lu
Journal:  Genet Epidemiol       Date:  2013-08-11       Impact factor: 2.135

3.  Endothelial nitric oxide synthase gene polymorphisms -786T > C and 894G > T in coronary artery bypass graft surgery patients.

Authors:  Georgia Ragia; Eleftherios Nikolaidis; Anna Tavridou; Kostas I Arvanitidis; Stavroula Kanoni; George V Dedoussis; George Bougioukas; Vangelis G Manolopoulos
Journal:  Hum Genomics       Date:  2010-08       Impact factor: 4.639

4.  Gene-gene and gene-environment interactions: new insights into the prevention, detection and management of coronary artery disease.

Authors:  Matthew B Lanktree; Robert A Hegele
Journal:  Genome Med       Date:  2009-02-26       Impact factor: 11.117

Review 5.  Application of Single-Nucleotide Polymorphism-Related Risk Estimates in Identification of Increased Genetic Susceptibility to Cardiovascular Diseases: A Literature Review.

Authors:  Szilvia Fiatal; Róza Ádány
Journal:  Front Public Health       Date:  2018-01-31
  5 in total

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