Dataset Information

STAT4 polymorphisms and diabetes risk: a meta-analysis with 18931 patients and 23833 controls.

ABSTRACT: Some studies were conducted to investigate the association between signal transducer and activator of transcription 4 (STAT4) polymorphisms and diabetes risk. However, the results were inconsistent. We thus did a meta-analysis. We searched the articles in the PubMed, Embase and CNKI databases (the last search updated on November 2014). Pooled odds ratios (OR) with 95% confidence intervals (CI) were derived from random-effects models or fixed-effects models. Ten case-control studies with 18931 cases and 23833 controls were included in this study. STAT4 rs7574865 polymorphism was significantly associated with diabetes risk (OR = 1.28; 95% CI 1.16-1.42; P < 0.00001). This polymorphism also increased type 1 diabetes risk significantly (OR = 1.27; 95% CI 1.15-1.41; P < 0.00001). In the subgroup analysis by ethnicity, a significant association was found among Asians (OR = 1.33; 95% CI 1.04-1.71; P = 0.02) and Caucasians (OR = 1.24; 95% CI 1.12-1.38; P < 0.0001). In the subgroup analysis by age, both children (OR = 1.28; 95% CI 1.12-1.45; P = 0.0002) and adults (OR = 1.27; 95% CI 1.13-1.42; P < 0.0001) with this polymorphism showed increased diabetes risk. Other STAT4 polymorphisms were not investigated in this meta-analysis due to insufficient data. This meta-analysis indicated that STAT4 rs7574865 polymorphism was associated with diabetes risk.

SUBMITTER: Yi J

PROVIDER: S-EPMC4443084 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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STAT4 polymorphisms and diabetes risk: a meta-analysis with 18931 patients and 23833 controls.

Yi Jian J Fang Xin X Wan Youyun Y Wei Juan J Huang Jianjun J

International journal of clinical and experimental medicine 20150315 3

Some studies were conducted to investigate the association between signal transducer and activator of transcription 4 (STAT4) polymorphisms and diabetes risk. However, the results were inconsistent. We thus did a meta-analysis. We searched the articles in the PubMed, Embase and CNKI databases (the last search updated on November 2014). Pooled odds ratios (OR) with 95% confidence intervals (CI) were derived from random-effects models or fixed-effects models. Ten case-control studies with 18931 ca ...[more]

PMID: 26064250

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Project description:BackgroundThough HLA-DP/DQ is regarded to associate with HBV susceptibility and HBV natural clearance, its role in hepatocellular carcinoma (HCC) development is obscure. And the role of STAT4 in HBV susceptibility and clearance as well as HCC development is still contentious. Therefore, we conducted this study, aiming to clarify these obscure relationships.MethodsWe recruited 1312 Chinese Han subjects including healthy controls, HBV carriers and HCC patients in the experiment stage. The meta-analysis included 3467 HCC patients and 5821 HBV carriers to appraise the association with HCC development.ResultsConsistent with previous studies, HLA-DP/DQ associated with HBV susceptibility and HBV natural clearance (p<0.05). However, the experiment showed that HLA-DP rs3077, rs9277535 and rs7453920 did not associate with HCC development (dominant model, rs3077, OR = 0.86, 95%CI = 0.62-1.18; rs9277535, OR = 0.94, 95%CI = 0.68-1.30; rs7453920, OR = 0.75, 95%CI = 0.44-1.27). Meta-analysis again consolidated this conclusion (allele model, rs3077, OR = 0.94, 95%CI = 0.87-1.02; rs9277535, OR = 1.04, 95%CI = 0.97-1.11; rs7453920, OR = 0.89, 95%CI = 0.76-1.02). As for STAT4 rs7574865, we did not find any significant association with HBV susceptibility (OR = 0.91, 95%CI = 0.66-1.26) or HBV natural clearance (OR = 1.13, 95%CI = 0.86-1.49). Moreover, current data failed to acquire positive connection of rs7574865 with HCC development (experiment, OR = 0.86, 95%CI = 0.62-1.19; meta-analysis, OR = 0.87, 95%CI = 0.74-1.03), which may be due to the small sample size.ConclusionsHLA-DP/DQ polymorphisms (rs3077, rs9277535, rs7453920) did not associate with HCC development, but did correlate with HBV susceptibility and HBV natural clearance. STAT4 rs7574865 seemed not to correlate with HBV susceptibility or natural clearance. And it seemed rather ambiguous in its role on HCC development at present.

Project description:BackgroundGrowing body of evidence suggest the association between SNP - 11377 C > G and SNP + 276 G > T polymorphisms of adiponectin gene with type 2 diabetes (T2D). However, these findings have not been conclusive and consistent. The present study quantitatively evaluates the data on the association between DIPOQ - 11377C/G, and + 276G/T polymorphisms and risk of T2D through a meta-analysis.MethodsA systematic search was performed in the PubMed, Web of science, Scopus and Cochrane library databases to extract published studies according to the inclusion criteria. Among the 741 studies, 391 of them were screened as full text and 31 studies were finally included in the meta-analysis. Analysis of data was performed using random-effects model. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to analyze the strength of association. Subgroup and meta-regression analyses were performed to identify the potential source of heterogeneity.ResultsThe pooled analysis showed that there was no statistically significant association between genotypes of CC (OR = 0.76, 95% CI: 0.53-1.09, P = 0.14), CG (OR = 0.93, 95% CI: 0.72-1.20, P = 0.58) and GG (OR = 1, 95% CI: 0.80-1.26, P = 0.94) ADIPO - 11377 polymorphism with increased risk of T2D. In addition, the results revealed a trend toward an increased risk of T2D for the SNP + 276 TT genotype (OR = 0.87, 95% CI: 0.77-0.98, P = 0.026) as compared with the GT and GG genotypes. Subgroup analysis by ethnicity indicated significant association between the TT genotype of the SNP + 276 and increased risk of T2D among Europeans. Met-regression demonstrated significant association between the GT genotype of + 276 polymorphism with risk of T2D in male individuals (slope: 0.0006; 95% CI: 0.0002-0.0009; P < 0.001).ConclusionsCollectively, our findings demonstrated a positive association between ADIPOQ + 276 G > T polymorphism with increased risk of T2D in male individuals with European ethnicity.

Project description:BackgroundLeptin receptor (LEPR) plays a pivotal role in the control of body weight, energy metabolism, and insulin sensitivity. Various genetic association studies were performed to evaluate associations of LEPR genetic variants with type 2 diabetes (T2D) susceptibility.MethodsA comprehensive search was conducted to identify all eligible case-control studies for examining the associations of LEPR single nucleotide polymorphisms (SNPs) Q223R (rs1137101) and K109R (rs1137100) with T2D risk. Odds ratios (OR) and corresponding 95% confidence intervals (CIs) were used to measure the magnitudes of association.ResultsFor Q223R, 13 studies (11 articles) consisting of a total of 4030 cases and 2844 controls, and for K109R 7 studies (7 articles) consisting of 3319 cases and 2465 controls were available. Under an allele model, Q223R was not significantly associated with T2D risk (OR = 1.09, 95% CI: 0.80-1.48, P-value = 0.5989), which was consistent with results obtained under four genotypic models (ranges: ORs 1.08-1.20, 95% CIs: 0.58-2.02 to 0.64-2.26; P-values, 0.3650-0.8177, which all exceeded multiplicity-adjusted α = 0.05/5 = 0.01). In addition, no significant association was found between K109R and T2D risk based on either an allele model (OR = 0.93, 95% CI: 0.85-1.03, P-value = 0.1868) or four genotypic models (ranges: ORs 0.81-0.99, 95% CIs: 0.67-0.86 to 0.97-1.26, P-values, 0.0207-0.8804 which all exceeded multiplicity-adjusted α of 0.01). The magnitudes of association for these two SNPs were not dramatically changed in subgroup analyses by ethnicity or sensitivity analyses. Funnel plot inspections as well as Begg and Mazumdar adjusted rank correlation test and Egger linear regression test did not reveal significant publication biases in main and subgroup analyses. Bioinformatics analysis predicted that both missense SNPs were functionally neutral and benign.ConclusionsThe present meta-analysis did not detect significant genetic associations between LEPR Q223R and K109R polymorphisms and T2D risk.

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STAT4 polymorphisms and diabetes risk: a meta-analysis with 18931 patients and 23833 controls.

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STAT4 polymorphisms and diabetes risk: a meta-analysis with 18931 patients and 23833 controls.

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