scholarly journals Association between the Melatonin Receptor 1B Gene Polymorphism on the Risk of Type 2 Diabetes, Impaired Glucose Regulation: A Meta-Analysis

PLoS ONE ◽  
2012 ◽  
Vol 7 (11) ◽  
pp. e50107 ◽  
Author(s):  
Qing Xia ◽  
Zi-Xian Chen ◽  
Yi-Chao Wang ◽  
Yu-Shui Ma ◽  
Feng Zhang ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Gene Polymorphism ◽  
Meta Analysis ◽  
Glucose Regulation ◽  
Impaired Glucose Regulation ◽  
Melatonin Receptor ◽  
Melatonin Receptor 1B

scholarly journals Interactions between plasma copper concentrations and SOD1 gene polymorphism for impaired glucose regulation and type 2 diabetes

Redox Biology ◽  
2019 ◽  
Vol 24 ◽  
pp. 101172 ◽  
Author(s):  
Jiawei Yin ◽  
Xiaoqian Wang ◽  
Shuzhen Li ◽  
Yalun Zhu ◽  
Sijing Chen ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Gene Polymorphism ◽  
Glucose Regulation ◽  
Impaired Glucose Regulation ◽  
Sod1 Gene ◽  
Plasma Copper

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.

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