scholarly journals Relationship between KCNQ1 gene polymorphisms and type 2 diabetes in the population of northwestern China and a meta-Analysis

2019 ◽  
Author(s):  
Jing Xu ◽  
Wei Zhang ◽  
Wei Song ◽  
Jiaqi Cui ◽  
Yanni Tian ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Gene Polymorphisms ◽  
Genetic Model ◽  
Meta Analysis ◽  
Asian Population ◽  
Northwest China ◽  
Northwestern China ◽  
Exact Test ◽  
Kcnq1 Gene

Abstract Aims The purpose of this study was to explore the correlation between Potassium Voltage-Gated Channel Subfamily Q Member 1 (KCNQ1) gene polymorphisms and the risk of type 2 diabetes mellitus (T2DM) and its clinical indicators in the population of northwestern China, and conducted a meta-analysis on two polymorphic loci that have been studied frequently and controversial. Methods A case control study was conducted, involving 508 patients and 503 healthy individuals in the population of northwest China, and evaluated the associations using the χ2 test, Fisher's exact test, T test, and genetic model analyses. Results We discovered that rs2237895 rs2283228, rs163184, and rs163177 were associated with susceptibility to T2DM. Rs231362 rs231356, rs8181588 were related to the risk of T2DM after stratification. The results of meta-analysis also confirmed that rs2237895 and rs2283228 were strongly correlated with T2DM risk, especially in the East Asian population. Conclusions This study provides evidence for the correlation between KCNQ1 gene polymorphisms and T2DM in the population of northwestern China.

scholarly journals Association of miR-146a polymorphism rs2910164 and type 2 diabetes risk: a meta-analysis

2020 ◽  
Vol 48 (8) ◽  
pp. 030006052093131
Author(s):  
Liqing Cheng ◽  
Min Zhou ◽  
Dongmei Zhang ◽  
Bing Chen
Keyword(s):  
Type 2 Diabetes ◽  
Gene Polymorphisms ◽  
Disease Duration ◽  
Genetic Model ◽  
Meta Analysis ◽  
Confounding Factors ◽  
Dominant Model ◽  
Subgroup Analyses

Objective Circulating miR-146a is aberrantly expressed in patients with type 2 diabetes (T2D), probably resulting from gene polymorphisms. However, the role of polymorphism rs2910164 in T2D pathogenesis remains controversial. Thus, we designed a meta-analysis to investigate the association between rs2910164 and T2D. Methods PubMed and Embase were searched for eligible papers in English published through September 2, 2019. Random or fixed effect models were used to determine risk estimates according to heterogeneities. Results Four studies, involving 2,069 patients and 1,950 controls, were included. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were used to pool the effect size. The pooled ORs and 95% CIs were 1.501 (0.887–2.541), 1.102 (0.931–1.304), 1.276 (0.900–1.811), 1.204 (0.878–1.652), 1.238 (0.880–1.740), and 1.350 (0.904–2.016) under the homozygote, heterozygote (CG vs. GG and CC vs. CG), dominant, allele, and recessive models, respectively. Heterogeneity was detected in most genetic models, with subgroup analyses performed by ethnicity, genotyping method, and disease duration. The co-dominant model was determined to be the most appropriate genetic model. Conclusions Our findings suggested that polymorphism rs2910164 is not correlated with T2D susceptibility. However, the results should be interpreted with caution because of confounding factors.

scholarly journals Associations of KCNQ1 Polymorphisms with the Risk of Type 2 Diabetes Mellitus: An Updated Meta-Analysis with Trial Sequential Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Xiao-xuan Yu ◽  
Min-qi Liao ◽  
Yu-fei Zeng ◽  
Xu-ping Gao ◽  
Yan-hua Liu ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Gene Polymorphisms ◽  
Sequential Analysis ◽  
Meta Analysis ◽  
Asian Population ◽  
Trial Sequential Analysis ◽  
Case Control Studies

Background. Previous studies have examined the role of the KQT-like subfamily Q member1 (KCNQ1) gene polymorphisms on the risk of type 2 diabetes mellitus (T2DM), but the findings are inconclusive. Objective. To examine the association between the KCNQ1 gene polymorphisms and the risk of T2DM using an updated meta-analysis with an almost tripled number of studies. Methods. Five electronic databases, such as PubMed and Embase, were searched thoroughly for relevant studies on the associations between seven most studied KCNQ1 gene polymorphisms, including rs2237892, rs2237897, rs2237895, rs2283228, rs231362, rs151290, and rs2074196, and T2DM risk up to September 14, 2019. The summary odds ratios (ORs) with their 95% confidence intervals (CIs) were applied to assess the strength of associations in the random-effects models. We used the trial sequential analysis (TSA) to measure the robustness of the evidence. Results. 49 publications including 55 case-control studies (68,378 cases and 66,673 controls) were finally enrolled. In overall analyses, generally, increased T2DM risk was detected for rs2237892, rs2237895, rs2283228, rs151290, and rs2074196, but not for rs231362 under all genetic models. The ORs and 95% CIs for allelic comparison were 1.23 (1.14-1.33) for rs2237892, 1.21 (1.16-1.27) for rs2237895, 1.27 (1.11-1.46) for rs2237897, 1.25 (1.09-1.42) for rs2283228, 1.14 (1.03-1.27) for rs151290, 1.31 (1.23-1.39) for rs2074196, and 1.16 (0.83, 1.61) for rs231362. Stratified analyses showed that associations for rs2237892, rs2237895, rs2283228, and rs151290 were more evident among Asians than Caucasians. TSA demonstrated that the evidence was sufficient for all polymorphisms in this study. The genotypes of the three SNPs (rs2237892, rs2283228, and rs231362) were significantly correlated with altered KCNQ1 gene expression. Conclusion. This meta-analysis suggested that KCNQ1 gene polymorphisms (rs2237892, rs2283228, rs2237895, rs151290, and rs2074196) might be the susceptible factors for T2DM, especially among Asian population.

Significant Association between Microrna Gene Polymorphisms and Type 2 Diabetes Mellitus Susceptibility in Asian Population: A Meta-Analysis

2020 ◽  
Author(s):  
Zhifang DENG ◽  
Wenqi GAO ◽  
Wei LUO ◽  
Li AI ◽  
Min HU
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Gene Polymorphisms ◽  
Meta Analysis ◽  
Asian Population ◽  
Healthy Population ◽  
Nucleotide Polymorphisms ◽  
Microrna Gene

Background: The gene polymorphisms in microRNA might relate to susceptibility of type 2 diabetes mellitus (T2DM). However, the results of existing studies were inconsistent and obscure. To investigate the precise associations between microRNA gene polymorphisms and T2DM risk, the present meta-analysis was performed. Methods: The literatures were searched from four electronic databases, PubMed, Embase, CNKI and Wanfang. Subsequently, odds ratios (ORs) and the corresponding 95% confidence intervals (CIs) were both used to evaluate the associations between two single nucleotide polymorphisms (SNPs) (microRNA146a rs2910164 (G>C), microRNA124a rs531564 (C>G)) and risk of T2DM in Asian population. Results: Totally, there were 4 studies included in our present analysis in the language of English and Chinese. There were partly significant associations between susceptibility of T2DM and SNPs (microRNA146a rs2910164 (G>C), microRNA124a rs531564 (C>G)). The G allele in microRNA146a rs2910164 (G>C) and C allele in microRNA124a rs531564 (C>G) both presented remarkably reduced risk of T2DM when compared with the healthy population. Conclusion: The microRNA146a rs2910164 (G allele) and microRNA124a rs531564 (C allele) might function as protective factors in the pathogenetic process of T2DM in Asian population.

scholarly journals Association of CDKAL1 RS10946398 Gene Polymorphism with Susceptibility to Diabetes Mellitus Type 2: A Meta-Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Ning Xu ◽  
Ting-Ting Zhang ◽  
Wen-Jia Han ◽  
Li-Ping Yin ◽  
Nan-Zheng Ma ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Gene Polymorphism ◽  
Publication Bias ◽  
Diabetes Mellitus Type 2 ◽  
Genetic Model ◽  
Meta Analysis ◽  
Asian Population ◽  
Effect Model

Background. Diabetes is one of the common chronic diseases in which susceptibility is determined by a combination of genetic and environmental factors, and more than 90% of diabetic patients are diabetes mellitus type 2 (T2DM). The existing studies on the association between CDKAL1 rs10946398 gene polymorphism and susceptibility to type 2 diabetes are inconsistent across populations. Aim. We aim to explore the association between CDKAL1 rs10946398 gene polymorphism and susceptibility to type 2 diabetes in different populations. Methods. We examined all studies before June 12, 2021, that associated CDKAL1 rs10946398 with T2DM. Heterogeneity was assessed by meta-analysis of allelic inheritance models (A vs. C), dominant inheritance models (AA vs. AC+CC), and recessive inheritance model (AA+AC vs. CC); I 2 was used to assess the heterogeneity (if I 2 < 50 %, the fixed-effects model was used; if I 2 ≥ 50 %, the random-effects model was used for data consolidation); correlation was judged by a forest map; potential publication bias was tested by the Egger test ( p > 0.05 indicates that there is no publication bias). Results. Fourteen data totaling 30288 subjects, including 19272 controls and 11016 patients with T2DM, met our inclusion criteria. In the Asian population, the differences were statistically significant ( p < 0.01 ) for dominant genetic model ( OR = 0.75 , 95 % CI = 0.64 -0.88, p = 0.0003 ). But the allelic effect model ( OR = 0.87 , 95 % CI = 0.75 -1.02, p = 0.08 ) and the recessive genetic model ( OR = 0.85 , 95 % CI = 0.66 -1.10, p = 0.23 ) were not statistically significant ( p > 0.01 ). In the non-Asian population, the differences were statistically significant ( p < 0.01 ) for the allelic effect model ( OR = 0.83 , 95 % CI = 0.77 -0.88, p < 0.00001 ), the dominant model ( OR = 0.79 , 95 % CI = 0.72 -0.87, p < 0.00001 ), and the recessive model ( OR = 0.78 , 95 % CI = 0.70 -0.87, p < 0.0001 ). Conclusion. In this study, CDKAL1 RS10946398 was positively associated with T2DM, but the association was different in Asian populations.

The GSTM1 and GSTT1 Null Genotypes Increase the Risk for Type 2 Diabetes Mellitus and the Subsequent Development of Diabetic Complications: A Meta-analysis

2018 ◽  
Vol 15 (1) ◽  
pp. 31-43 ◽  
Author(s):  
Sayantan Nath ◽  
Sambuddha Das ◽  
Aditi Bhowmik ◽  
Sankar Kumar Ghosh ◽  
Yashmin Choudhury
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Meta Analysis ◽  
Subsequent Development ◽  
Asian Population ◽  
Gstm1 Null Genotype ◽  
Increased Risk

Background:Studies pertaining to association of GSTM1 and GSTT1 null genotypes with risk of T2DM and its complications were often inconclusive, thus spurring the present study.Methods:Meta-analysis of 25 studies for evaluating the role of GSTM1/GSTT1 null polymorphisms in determining the risk for T2DM and 17 studies for evaluating the role of GSTM1/GSTT1 null polymorphisms in development of T2DM related complications were conducted.Results:Our study revealed an association between GSTM1 and GSTT1 null polymorphism with T2DM (GSTM1; OR=1.37;95% CI =1.10-1.70 and GSTT1; OR=1.29;95% CI =1.04-1.61) with an amplified risk of 2.02 fold for combined GSTM1-GSTT1 null genotypes. Furthermore, the GSTT1 null (OR=1.56;95%CI=1.38-1.77) and combined GSTM1-GSTT1 null genotypes (OR=1.91;95%CI=1.25- 2.94) increased the risk for development of T2DM related complications, but not the GSTM1 null genotype. Stratified analyses based on ethnicity revealed GSTM1 and GSTT1 null genotypes increase the risk for T2DM in both Caucasians and Asians, with Asians showing much higher risk of T2DM complications than Caucasians for the same. </P><P> Discussion: GSTM1, GSTT1 and combined GSTM1-GSTT1 null polymorphism may be associated with increased risk for T2DM; while GSTT1 and combined GSTM1-GSTT1 null polymorphism may increase the risk of subsequent development of T2DM complications with Asian population carrying an amplified risk for the polymorphism.Conclusion:Thus GSTM1 and GSTT1 null genotypes increases the risk for Type 2 diabetes mellitus alone, in combination or with regards to ethnicity.

scholarly journals Association of KCNQ1rs2237892C ⟶ T Gene with Type 2 Diabetes Mellitus: A Meta-Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Wen-Jia Han ◽  
Jian-Yi Deng ◽  
Hua Jin ◽  
Li-Ping Yin ◽  
Jin-Xia Yang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Gene Polymorphism ◽  
Genetic Model ◽  
Meta Analysis ◽  
High Morbidity ◽  
Genome Wide Association Studies ◽  
Asian Populations

Background. Type 2 diabetes mellitus (T2DM) is one of the most common chronic diseases in adults, causing high morbidity and mortality worldwide. In recent years, the prevalence of T2DM has been increasing significantly, and genome-wide association studies (GWAS) have shown that KCNQ1 significantly increases the risk of T2DM. Objective. To find large-scale evidence on whether the KCNQ1rs2237892C⟶T gene polymorphism is associated with T2DM susceptibility. Methods. A comprehensive review of the Chinese and English literature on the association of T2DM with KCNQ1rs2237892 is published by PubMed and Baidu Academic. The included literature was part or all of the studied loci which were evaluated for association with T2DM. Forest plots were made of the included literature to analyze the association of KCNQ1 with polymorphisms of the studied loci, and funnel plots and Egger’s test were used to evaluate the publication bias of the selected included literature. Results. Ten case-control studies including a total of 7027 cases and 8208 controls met our inclusion criteria. Allele (C allele frequency distribution) (OR: 1.19; 95% CI: 0.87,1.62; P < 0.00001 ), recessive (OR: 0.73; 95% CI: 0.45,1.18; P < 0.00001 ) genetic model under the full population was observed between KCNQ1rs2237892C⟶T gene polymorphism and T2DM without a significant relationship. In a stratified analysis by race, a meaningful association was found in non-Asian populations under the allelic genetic model, but no association was found in Asian populations. Conclusion. This meta-analysis showed no significant association between the rs2237892 polymorphism of the KCNQ1 gene and the risk of T2DM.

scholarly journals TCF7L2 gene polymorphisms and type 2 diabetes risk: a comprehensive and updated meta-analysis involving 121 174 subjects

Mutagenesis ◽  
2012 ◽  
Vol 28 (1) ◽  
pp. 25-37 ◽  
Author(s):  
Sihua Peng ◽  
Yimin Zhu ◽  
Bingjian Lü ◽  
Fangying Xu ◽  
Xiaobo Li ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Gene Polymorphisms ◽  
Meta Analysis ◽  
Diabetes Risk ◽  
Tcf7l2 Gene

scholarly journals ABCA1 69C>T Polymorphism and the Risk of Type 2 Diabetes Mellitus: A Systematic Review and Updated Meta-Analysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Ha Young Yoon ◽  
Min Hye Lee ◽  
Yubin Song ◽  
Jeong Yee ◽  
Gonjin Song ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cell Function ◽  
Meta Analysis ◽  
Asian Population ◽  
Increased Risk ◽  
Β Cell Function

BackgroundThe ATP-binding cassette transporter A1 (ABCA1) is likely associated with the risk of type 2 diabetes mellitus (T2DM) via β cell function modification, but the evidence on the association remains unclear. This study aimed to investigate the relationship between the ABCA1 69C&gt;T polymorphism and the risk of T2DM through a systematic review and meta-analysis.Materials and MethodsThe PubMed, Web of Science, and Embase databases were searched for qualified studies published until August 2020. Studies that included the association between the ABCA1 69C&gt;T polymorphism and the risk of T2DM were reviewed. The odds ratios (ORs) and 95% confidence intervals (CIs) were evaluated.ResultsWe analyzed data from a total of 10 studies involving 17,742 patients. We found that the CC or CT genotype was associated with increased risk of T2DM than the TT genotype (OR, 1.41; 95% CI, 1.02-1.93). In the Asian population, the C allele carriers had a higher risk of T2DM than those with the TT genotype; the ORs of the CC and CT genotypes were 1.80 (95% CI, 1.21-2.68) and 1.61 (95% CI, and 1.29-2.01), respectively.ConclusionsThis meta-analysis confirmed that the ABCA1 69C&gt;T genotype showed a decrease risk of T2DM compared to the CC or CT genotypes.

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