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Meta-Analysis of the Association between Transforming Growth Factor-Beta Polymorphisms and Complications of Coronary Heart Disease
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 TG...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3360665/ https://www.ncbi.nlm.nih.gov/pubmed/22662243 http://dx.doi.org/10.1371/journal.pone.0037878 |
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author | Morris, Dylan R. Moxon, Joseph V. Biros, Erik Krishna, Smriti M. Golledge, Jonathan |
author_facet | Morris, Dylan R. Moxon, Joseph V. Biros, Erik Krishna, Smriti M. Golledge, Jonathan |
author_sort | Morris, Dylan R. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3360665 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-33606652012-06-01 Meta-Analysis of the Association between Transforming Growth Factor-Beta Polymorphisms and Complications of Coronary Heart Disease Morris, Dylan R. Moxon, Joseph V. Biros, Erik Krishna, Smriti M. Golledge, Jonathan PLoS One Research Article 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. Public Library of Science 2012-05-25 /pmc/articles/PMC3360665/ /pubmed/22662243 http://dx.doi.org/10.1371/journal.pone.0037878 Text en Morris et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Morris, Dylan R. Moxon, Joseph V. Biros, Erik Krishna, Smriti M. Golledge, Jonathan Meta-Analysis of the Association between Transforming Growth Factor-Beta Polymorphisms and Complications of Coronary Heart Disease |
title | Meta-Analysis of the Association between Transforming Growth Factor-Beta Polymorphisms and Complications of Coronary Heart Disease |
title_full | Meta-Analysis of the Association between Transforming Growth Factor-Beta Polymorphisms and Complications of Coronary Heart Disease |
title_fullStr | Meta-Analysis of the Association between Transforming Growth Factor-Beta Polymorphisms and Complications of Coronary Heart Disease |
title_full_unstemmed | Meta-Analysis of the Association between Transforming Growth Factor-Beta Polymorphisms and Complications of Coronary Heart Disease |
title_short | Meta-Analysis of the Association between Transforming Growth Factor-Beta Polymorphisms and Complications of Coronary Heart Disease |
title_sort | meta-analysis of the association between transforming growth factor-beta polymorphisms and complications of coronary heart disease |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3360665/ https://www.ncbi.nlm.nih.gov/pubmed/22662243 http://dx.doi.org/10.1371/journal.pone.0037878 |
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