Cargando…

A Meta-Analysis of the Association between TNF-α −308G>A Polymorphism and Type 2 Diabetes Mellitus in Han Chinese Population

OBJECTIVE: A meta-analysis was applied to evaluate the associations between tumor necrosis factor-α (TNF-α) −308G>A (rs1800629) polymorphism and type 2 diabetes mellitus (T2DM). METHODS: Hardy-Weinberg equilibrium (HWE) was employed to test genetic equilibrium among the genotypes of the selected...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Zheng-hui, Ding, Yuan-lin, Xiu, Liang-chang, Pan, Hai-yan, Liang, Yan, Zhong, Shou-qiang, Liu, Wei-wei, Rao, Shao-qi, Kong, Dan-li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3601959/
https://www.ncbi.nlm.nih.gov/pubmed/23527193
http://dx.doi.org/10.1371/journal.pone.0059421
_version_ 1782263504844095488
author Liu, Zheng-hui
Ding, Yuan-lin
Xiu, Liang-chang
Pan, Hai-yan
Liang, Yan
Zhong, Shou-qiang
Liu, Wei-wei
Rao, Shao-qi
Kong, Dan-li
author_facet Liu, Zheng-hui
Ding, Yuan-lin
Xiu, Liang-chang
Pan, Hai-yan
Liang, Yan
Zhong, Shou-qiang
Liu, Wei-wei
Rao, Shao-qi
Kong, Dan-li
author_sort Liu, Zheng-hui
collection PubMed
description OBJECTIVE: A meta-analysis was applied to evaluate the associations between tumor necrosis factor-α (TNF-α) −308G>A (rs1800629) polymorphism and type 2 diabetes mellitus (T2DM). METHODS: Hardy-Weinberg equilibrium (HWE) was employed to test genetic equilibrium among the genotypes of the selected literature. Power analysis was performed with the Power and Sample Size Calculation (PS) program. A fixed or random effect model was used on the basis of heterogeneity. Publication bias was quantified and examined with the Begg's funnel plot test and Egger's linear regression test. The meta-analysis was performed with Review Manager 5.1 and Stata 11.0. RESULTS: There were 10 studies including 1425 T2DM patients and 1116 healthy control subjects involved in this meta-analysis. No significant publication bias was found in the studies. The pooled ORs (95% CIs) for TNF-α −308G>A of A vs. G allele and GA+AA vs. GG genotype were 1.63 (1.17–2.25) and 1.47 (1.17–1.85), respectively. CONCLUSION: This meta-analysis result suggested that TNF-α −308G>A polymorphism was strongly associated with T2DM risk, and A allele at this locus might be a susceptibility allele for the development of T2DM in Han Chinese population.
format Online
Article
Text
id pubmed-3601959
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-36019592013-03-22 A Meta-Analysis of the Association between TNF-α −308G>A Polymorphism and Type 2 Diabetes Mellitus in Han Chinese Population Liu, Zheng-hui Ding, Yuan-lin Xiu, Liang-chang Pan, Hai-yan Liang, Yan Zhong, Shou-qiang Liu, Wei-wei Rao, Shao-qi Kong, Dan-li PLoS One Research Article OBJECTIVE: A meta-analysis was applied to evaluate the associations between tumor necrosis factor-α (TNF-α) −308G>A (rs1800629) polymorphism and type 2 diabetes mellitus (T2DM). METHODS: Hardy-Weinberg equilibrium (HWE) was employed to test genetic equilibrium among the genotypes of the selected literature. Power analysis was performed with the Power and Sample Size Calculation (PS) program. A fixed or random effect model was used on the basis of heterogeneity. Publication bias was quantified and examined with the Begg's funnel plot test and Egger's linear regression test. The meta-analysis was performed with Review Manager 5.1 and Stata 11.0. RESULTS: There were 10 studies including 1425 T2DM patients and 1116 healthy control subjects involved in this meta-analysis. No significant publication bias was found in the studies. The pooled ORs (95% CIs) for TNF-α −308G>A of A vs. G allele and GA+AA vs. GG genotype were 1.63 (1.17–2.25) and 1.47 (1.17–1.85), respectively. CONCLUSION: This meta-analysis result suggested that TNF-α −308G>A polymorphism was strongly associated with T2DM risk, and A allele at this locus might be a susceptibility allele for the development of T2DM in Han Chinese population. Public Library of Science 2013-03-19 /pmc/articles/PMC3601959/ /pubmed/23527193 http://dx.doi.org/10.1371/journal.pone.0059421 Text en © 2013 Liu 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
Liu, Zheng-hui
Ding, Yuan-lin
Xiu, Liang-chang
Pan, Hai-yan
Liang, Yan
Zhong, Shou-qiang
Liu, Wei-wei
Rao, Shao-qi
Kong, Dan-li
A Meta-Analysis of the Association between TNF-α −308G>A Polymorphism and Type 2 Diabetes Mellitus in Han Chinese Population
title A Meta-Analysis of the Association between TNF-α −308G>A Polymorphism and Type 2 Diabetes Mellitus in Han Chinese Population
title_full A Meta-Analysis of the Association between TNF-α −308G>A Polymorphism and Type 2 Diabetes Mellitus in Han Chinese Population
title_fullStr A Meta-Analysis of the Association between TNF-α −308G>A Polymorphism and Type 2 Diabetes Mellitus in Han Chinese Population
title_full_unstemmed A Meta-Analysis of the Association between TNF-α −308G>A Polymorphism and Type 2 Diabetes Mellitus in Han Chinese Population
title_short A Meta-Analysis of the Association between TNF-α −308G>A Polymorphism and Type 2 Diabetes Mellitus in Han Chinese Population
title_sort meta-analysis of the association between tnf-α −308g>a polymorphism and type 2 diabetes mellitus in han chinese population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3601959/
https://www.ncbi.nlm.nih.gov/pubmed/23527193
http://dx.doi.org/10.1371/journal.pone.0059421
work_keys_str_mv AT liuzhenghui ametaanalysisoftheassociationbetweentnfa308gapolymorphismandtype2diabetesmellitusinhanchinesepopulation
AT dingyuanlin ametaanalysisoftheassociationbetweentnfa308gapolymorphismandtype2diabetesmellitusinhanchinesepopulation
AT xiuliangchang ametaanalysisoftheassociationbetweentnfa308gapolymorphismandtype2diabetesmellitusinhanchinesepopulation
AT panhaiyan ametaanalysisoftheassociationbetweentnfa308gapolymorphismandtype2diabetesmellitusinhanchinesepopulation
AT liangyan ametaanalysisoftheassociationbetweentnfa308gapolymorphismandtype2diabetesmellitusinhanchinesepopulation
AT zhongshouqiang ametaanalysisoftheassociationbetweentnfa308gapolymorphismandtype2diabetesmellitusinhanchinesepopulation
AT liuweiwei ametaanalysisoftheassociationbetweentnfa308gapolymorphismandtype2diabetesmellitusinhanchinesepopulation
AT raoshaoqi ametaanalysisoftheassociationbetweentnfa308gapolymorphismandtype2diabetesmellitusinhanchinesepopulation
AT kongdanli ametaanalysisoftheassociationbetweentnfa308gapolymorphismandtype2diabetesmellitusinhanchinesepopulation
AT liuzhenghui metaanalysisoftheassociationbetweentnfa308gapolymorphismandtype2diabetesmellitusinhanchinesepopulation
AT dingyuanlin metaanalysisoftheassociationbetweentnfa308gapolymorphismandtype2diabetesmellitusinhanchinesepopulation
AT xiuliangchang metaanalysisoftheassociationbetweentnfa308gapolymorphismandtype2diabetesmellitusinhanchinesepopulation
AT panhaiyan metaanalysisoftheassociationbetweentnfa308gapolymorphismandtype2diabetesmellitusinhanchinesepopulation
AT liangyan metaanalysisoftheassociationbetweentnfa308gapolymorphismandtype2diabetesmellitusinhanchinesepopulation
AT zhongshouqiang metaanalysisoftheassociationbetweentnfa308gapolymorphismandtype2diabetesmellitusinhanchinesepopulation
AT liuweiwei metaanalysisoftheassociationbetweentnfa308gapolymorphismandtype2diabetesmellitusinhanchinesepopulation
AT raoshaoqi metaanalysisoftheassociationbetweentnfa308gapolymorphismandtype2diabetesmellitusinhanchinesepopulation
AT kongdanli metaanalysisoftheassociationbetweentnfa308gapolymorphismandtype2diabetesmellitusinhanchinesepopulation