Literature DB >> 15272420

A genomewide scan for early-onset coronary artery disease in 438 families: the GENECARD Study.

Elizabeth R Hauser1, David C Crossman, Christopher B Granger, Jonathan L Haines, Christopher J H Jones, Vincent Mooser, Brendan McAdam, Bernhard R Winkelmann, Alan H Wiseman, J Brent Muhlestein, Alan G Bartel, Charles A Dennis, Elaine Dowdy, Susan Estabrooks, Karen Eggleston, Sheila Francis, Kath Roche, Paula W Clevenger, Liling Huang, Bonnie Pedersen, Svati Shah, Silke Schmidt, Carol Haynes, Sandra West, Donny Asper, Michael Booze, Sanjay Sharma, Scott Sundseth, Lefkos Middleton, Allen D Roses, Michael A Hauser, Jeffery M Vance, Margaret A Pericak-Vance, William E Kraus.   

Abstract

A family history of coronary artery disease (CAD), especially when the disease occurs at a young age, is a potent risk factor for CAD. DNA collection in families in which two or more siblings are affected at an early age allows identification of genetic factors for CAD by linkage analysis. We performed a genomewide scan in 1,168 individuals from 438 families, including 493 affected sibling pairs with documented onset of CAD before 51 years of age in men and before 56 years of age in women. We prospectively defined three phenotypic subsets of families: (1) acute coronary syndrome in two or more siblings; (2) absence of type 2 diabetes in all affected siblings; and (3) atherogenic dyslipidemia in any one sibling. Genotypes were analyzed for 395 microsatellite markers. Regions were defined as providing evidence for linkage if they provided parametric two-point LOD scores >1.5, together with nonparametric multipoint LOD scores >1.0. Regions on chromosomes 3q13 (multipoint LOD = 3.3; empirical P value <.001) and 5q31 (multipoint LOD = 1.4; empirical P value <.081) met these criteria in the entire data set, and regions on chromosomes 1q25, 3q13, 7p14, and 19p13 met these criteria in one or more of the subsets. Two regions, 3q13 and 1q25, met the criteria for genomewide significance. We have identified a region on chromosome 3q13 that is linked to early-onset CAD, as well as additional regions of interest that will require further analysis. These data provide initial areas of the human genome where further investigation may reveal susceptibility genes for early-onset CAD.

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Year:  2004        PMID: 15272420      PMCID: PMC1182022          DOI: 10.1086/423900

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  49 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2000-12-19       Impact factor: 11.205

2.  Linkage analysis of a composite factor for the multiple metabolic syndrome: the National Heart, Lung, and Blood Institute Family Heart Study.

Authors:  Weihong Tang; Michael B Miller; Stephen S Rich; Kari E North; James S Pankow; Ingrid B Borecki; Richard H Myers; Paul N Hopkins; Mark Leppert; Donna K Arnett
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3.  Ordered subset analysis in genetic linkage mapping of complex traits.

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4.  Efficient strategies for genome scanning using maximum-likelihood affected-sib-pair analysis.

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Journal:  Am J Hum Genet       Date:  1997-03       Impact factor: 11.025

5.  Genome-wide linkage analysis of the acute coronary syndrome suggests a locus on chromosome 2.

Authors:  Stephen B Harrap; Kim S Zammit; Zilla Y H Wong; Fiona M Williams; Melanie Bahlo; Andrew M Tonkin; Stanley T Anderson
Journal:  Arterioscler Thromb Vasc Biol       Date:  2002-05-01       Impact factor: 8.311

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7.  Genetic susceptibility to death from coronary heart disease in a study of twins.

Authors:  M E Marenberg; N Risch; L F Berkman; B Floderus; U de Faire
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10.  The Finland-United States investigation of non-insulin-dependent diabetes mellitus genetics (FUSION) study. I. An autosomal genome scan for genes that predispose to type 2 diabetes.

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Journal:  Am J Hum Genet       Date:  2000-10-13       Impact factor: 11.043

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Review 1.  Emerging clinical applications in cardiovascular pharmacogenomics.

Authors:  Samir B Damani; Eric J Topol
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2010-08-20

Review 2.  Cardiovascular genetic medicine: the genetics of coronary heart disease.

Authors:  David Seo; Pascal J Goldschmidt-Clermont
Journal:  J Cardiovasc Transl Res       Date:  2008-05-23       Impact factor: 4.132

3.  Quantitative founder-effect analysis of French Canadian families identifies specific loci contributing to metabolic phenotypes of hypertension.

Authors:  P Hamet; E Merlo; O Seda; U Broeckel; J Tremblay; M Kaldunski; D Gaudet; G Bouchard; B Deslauriers; F Gagnon; G Antoniol; Z Pausová; M Labuda; M Jomphe; F Gossard; G Tremblay; R Kirova; P Tonellato; S N Orlov; J Pintos; J Platko; T J Hudson; J D Rioux; T A Kotchen; A W Cowley
Journal:  Am J Hum Genet       Date:  2005-03-30       Impact factor: 11.025

4.  Natriuretic peptide Val7Met substitution and risk of coronary artery disease in Greek patients with familial hypercholesterolemia.

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Review 7.  Molecular signatures of cardiovascular disease risk: potential for test development and clinical application.

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Review 8.  Genetic and genomic insights into the molecular basis of atherosclerosis.

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Journal:  Cell Metab       Date:  2007-09       Impact factor: 27.287

9.  Genes, diet and public health.

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10.  Neuropeptide Y gene polymorphisms confer risk of early-onset atherosclerosis.

Authors:  Svati H Shah; Neil J Freedman; Lisheng Zhang; David R Crosslin; David H Stone; Carol Haynes; Jessica Johnson; Sarah Nelson; Liyong Wang; Jessica J Connelly; Michael Muehlbauer; Geoffrey S Ginsburg; David C Crossman; Christopher J H Jones; Jeffery Vance; Michael H Sketch; Christopher B Granger; Christopher B Newgard; Simon G Gregory; Pascal J Goldschmidt-Clermont; William E Kraus; Elizabeth R Hauser
Journal:  PLoS Genet       Date:  2009-01-02       Impact factor: 5.917

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