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

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). Hardy-Weinberg equilibrium (HWE) was employed to test genetic equilibrium among the genotypes of the selected literature. Power an...

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Published inPloS one Vol. 8; no. 3; p. e59421
Main Authors 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
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 19.03.2013
Public Library of Science (PLoS)
Subjects
Alleles
Alzheimer's disease
Asian Continental Ancestry Group - genetics
Bias
Biology
Cytokines
Diabetes
Diabetes mellitus
Diabetes mellitus (non-insulin dependent)
Diabetes Mellitus, Type 2 - genetics
Endocrinology
Epidemiology
Equilibrium
Equilibrium methods
Gene expression
Gene polymorphism
Genetic Association Studies
Genotype
Genotypes
Health care
Health risk assessment
Heterogeneity
Humans
Insulin resistance
Linear Models
Medical ethics
Medical statistics
Medicine
Meta-analysis
Metabolism
Models, Genetic
Odds Ratio
Polymorphism
Polymorphism, Single Nucleotide - genetics
Population
Population genetics
Public health
Publication Bias
Regression analysis
Studies
Tumor Necrosis Factor-alpha - genetics
Tumor necrosis factor-TNF
Tumor necrosis factor-α
China
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Abstract 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). 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. 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. 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.
AbstractList 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). 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. 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. 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.
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.
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).OBJECTIVEA 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).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.METHODSHardy-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.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.RESULTSThere 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.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.CONCLUSIONThis 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.
ObjectiveA 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).MethodsHardy-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.ResultsThere 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.ConclusionThis 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.
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.
Author Xiu, Liang-chang
Kong, Dan-li
Zhong, Shou-qiang
Liu, Wei-wei
Ding, Yuan-lin
Liang, Yan
Rao, Shao-qi
Liu, Zheng-hui
Pan, Hai-yan
AuthorAffiliation Harvard Medical School, United States of America
1 Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical College, Dongguan, Guangdong, China
2 Department of Endocrinology and Metabolism, Maoming People’s Hospital, Maoming, Guangdong, China
AuthorAffiliation_xml – name: Harvard Medical School, United States of America
– name: 1 Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical College, Dongguan, Guangdong, China
– name: 2 Department of Endocrinology and Metabolism, Maoming People’s Hospital, Maoming, Guangdong, China
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/23527193$$D View this record in MEDLINE/PubMed
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Language English
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Conceived and designed the experiments: ZL YD SR DK. Performed the experiments: ZL LX HP. Analyzed the data: ZL LX WL. Contributed reagents/materials/analysis tools: ZL YD YL SZ HP WL. Wrote the paper: ZL YD SR.
Competing Interests: The authors have declared that no competing interests exist.
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12581271 - Diabet Med. 2003 Feb;20(2):167-8
12788886 - J Clin Endocrinol Metab. 2003 Jun;88(6):2767-74
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Snippet 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...
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...
ObjectiveA meta-analysis was applied to evaluate the associations between tumor necrosis factor-α (TNF-α) -308G>A (rs1800629) polymorphism and type 2 diabetes...
Objective A meta-analysis was applied to evaluate the associations between tumor necrosis factor- α (TNF- α ) −308G>A (rs1800629) polymorphism and type 2...
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StartPage e59421
SubjectTerms Alleles
Alzheimer's disease
Asian Continental Ancestry Group - genetics
Bias
Biology
Cytokines
Diabetes
Diabetes mellitus
Diabetes mellitus (non-insulin dependent)
Diabetes Mellitus, Type 2 - genetics
Endocrinology
Epidemiology
Equilibrium
Equilibrium methods
Gene expression
Gene polymorphism
Genetic Association Studies
Genotype
Genotypes
Health care
Health risk assessment
Heterogeneity
Humans
Insulin resistance
Linear Models
Medical ethics
Medical statistics
Medicine
Meta-analysis
Metabolism
Models, Genetic
Odds Ratio
Polymorphism
Polymorphism, Single Nucleotide - genetics
Population
Population genetics
Public health
Publication Bias
Regression analysis
Studies
Tumor Necrosis Factor-alpha - genetics
Tumor necrosis factor-TNF
Tumor necrosis factor-α
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Title A Meta-Analysis of the Association between TNF-α −308G>A Polymorphism and Type 2 Diabetes Mellitus in Han Chinese Population
URI https://www.ncbi.nlm.nih.gov/pubmed/23527193
https://www.proquest.com/docview/1330893336
https://www.proquest.com/docview/1319615682
https://pubmed.ncbi.nlm.nih.gov/PMC3601959
https://doaj.org/article/574f11550b5f4d7083471e022ae6327f
http://dx.doi.org/10.1371/journal.pone.0059421
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