Literature DB >> 19885677

The transcription factor GATA-2 does not associate with angiographic coronary artery disease in the Ottawa Heart Genomics and Cleveland Clinic GeneBank Studies.

Sonny Dandona1, Li Chen, Meng Fan, Md Afaque Alam, Olivia Assogba, Melanie Belanger, Kathryn Williams, George A Wells, W H Wilson Tang, Stephen G Ellis, Stanley L Hazen, Ruth McPherson, Robert Roberts, Alexandre F R Stewart.   

Abstract

The transcription factor GATA2 was reported to associate with coronary artery disease (CAD) in the family-based Genecard sample (Connelly et al. in PLoS Genet 2:e139, 2006). We asked whether GATA2 associates with sporadic cases of CAD in the Ottawa Heart Genomics Study (OHGS) and Cleveland Clinic (CC) populations. We genotyped the lead single nucleotide polymorphism (SNP) from Genecard, rs2713604 which is located in intron 5-6 of GATA2 in 600 CAD cases and 625 controls, as well as a tag SNP rs1573949 (r (2) = 0.87 in Caucasians of European ancestry in Utah from HapMap) in 1,136 cases and 1,162 controls in the OHGS1 population. A further 1,838 CAD cases and 913 controls derived from an independent sample combining genotypes from CC and OHGS2 populations were genotyped for rs1573949. Neither of the genotyped SNPs associates with CAD in the OHGS1 or CC/OHGS2 populations. Our data suggest that GATA2 does not contribute to the development of angiographic CAD among sporadic cases.

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Year:  2009        PMID: 19885677      PMCID: PMC2836531          DOI: 10.1007/s00439-009-0761-3

Source DB:  PubMed          Journal:  Hum Genet        ISSN: 0340-6717            Impact factor:   4.132


  19 in total

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10.  GATA2 is associated with familial early-onset coronary artery disease.

Authors:  Jessica J Connelly; Tianyuan Wang; Julie E Cox; Carol Haynes; Liyong Wang; Svati H Shah; David R Crosslin; A Brent Hale; Sarah Nelson; David C Crossman; Christopher B Granger; Jonathan L Haines; Christopher J H Jones; Jeffery M Vance; Pascal J Goldschmidt-Clermont; William E Kraus; Elizabeth R Hauser; Simon G Gregory
Journal:  PLoS Genet       Date:  2006-07-20       Impact factor: 5.917

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  7 in total

1.  Improved prediction of cardiovascular disease based on a panel of single nucleotide polymorphisms identified through genome-wide association studies.

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2.  Molecular biology of heart disease.

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3.  Prospective study of insulin-like growth factor-I, insulin-like growth factor-binding protein 3, genetic variants in the IGF1 and IGFBP3 genes and risk of coronary artery disease.

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7.  Susceptible gene polymorphism in patients with three-vessel coronary artery disease.

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  7 in total

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