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Meta-Analysis of the Association between Transforming Growth Factor-Beta Polymorphisms and Complications of Coronary Heart Disease
Author(s) -
Dylan Morris,
Joseph V. Moxon,
Erik Biroš,
Smriti M. Krishna,
Jonathan Golledge
Publication year - 2012
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0037878
Subject(s) - single nucleotide polymorphism , odds ratio , allele , confidence interval , snp , medicine , case control study , genetic model , meta analysis , genome wide association study , genetic association , risk factor , genetics , biology , genotype , gene
Objective To investigate the association between common transforming growth factor beta ( TGF-β ) single nucleotide polymorphisms (SNP) and significant complications of coronary heart disease (CHD). Method We performed a meta-analysis of published case-control studies assessing the association of TGF-β SNPs with a range of CHD complications. A random effects model was used to calculate odds ratios and confidence intervals. Analyses were conducted for additive, dominant and recessive modes of inheritance. Results Six studies involving 5535 cases and 2970 controls examining the association of common SNPs in TGF-β1 with CHD were identified. Applying a dominant model of inheritance, three TGF-β1 SNPs were significantly associated with CHD complications: The T alleles of rs1800469 (OR = 1.125, 95% CI 1.016–1.247, p = 0.031) and rs1800470 (OR = 1.146, 95% CI 1.026–1.279, p = 0.021); and the C allele of rs1800471 (OR = 1.207, 95% CI 1.037–1.406, p = 0.021). Conclusion This meta-analysis suggests that common genetic polymorphisms in TGF-β1 are associated with complications of CHD.

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