Dataset Information

A meta-analysis of the association between TNF-? -308G>A polymorphism and type 2 diabetes mellitus in Han Chinese population.

ABSTRACT:

Objective

A meta-analysis was applied to evaluate the associations between tumor necrosis factor-? (TNF-?) -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-? -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-? -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.

SUBMITTER: Liu ZH

PROVIDER: S-EPMC3601959 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Publications

A meta-analysis of the association between TNF-α -308G>A polymorphism and type 2 diabetes mellitus in Han Chinese population.

Liu Zheng-hui ZH Ding Yuan-lin YL Xiu Liang-chang LC Pan Hai-yan HY Liang Yan Y Zhong Shou-qiang SQ Liu Wei-wei WW Rao Shao-qi SQ Kong Dan-li DL

PloS one 20130319 3

<h4>Objective</h4>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).<h4>Methods</h4>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 ...[more]

PMID: 23527193

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Project description:BackgroundAllergic rhinitis (AR) is a non-infectious chronic inflammatory disease of the nasal mucosa that is mainly mediated by IgE after exposure to allergens. Tumor necrosis factor-α has been found to be involved in inflammation response. In the present study, we screened several SNPs of TNF-α gene and analyzed the associations between target SNPs polymorphism and AR.MethodsUsing an unmatched case-control design, 600 AR patients and 600 healthy controls were enrolled. General characteristics were collected including IgE expression. Univariate and multivariate logistic regression were used to estimate the odds ratio (OR) and 95% confidence interval (CI) of TNF-α gene for AR in dominant model, additive model, recessive model and allele model. The haplotype analyses were performed using rs1799964, rs1800630 and rs769178. Stratified analyses were also performed in gender, age, overweight, smoking, drinking, family history, and asthma history.ResultsOur multivariate logistic regression indicated that rs1799964, rs1800630 and rs769178 locus polymorphisms are not associated with AR. For rs769178, the GT (OR=2.35, 95% CI:1.82-3.03, P<0.001) and GT+TT (OR=1.89, 95% CI: 1.50-2.38, P<0.001) genotypes present an increased risk for AR compared to GG. The C-G-A-T (OR=2.04, 95% CI: 1.21-3.44, P=0.007) and C-G-C-T (OR=1.29, 95% CI: 1.04-1.62, P=0.024) haplotypes are associated with the increased risk of AR, and the C-G-C-G haplotypes decreased risk of AR (OR=0.75, 95% CI: 0.63-0.88, P=0.001). Stratified analyses shown a significant association between recessive model of rs769178 locus and AR risk in the subgroup of age≤60, overweight and smoking. Cross-over analysis indicated that the effects of TT+GT of genotype combined with smoking or drinking related with AR were associated with AR risk.ConclusionThe rs769178 locus polymorph of TNF-α was associated with an increased risk of AR. The haplotypes (C-G-A-T and C-G-C-T) of TNF-α can significantly increase the risk of AR, and C-G-C-G haplotype decreased the risk of AR. There are interactions between rs769178 polymorphism and smoking/drinking for AR risk.