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 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.

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 Chronic renal insufficiency among Asian Indians with type 2 diabetes: I. Role of RAAS gene polymorphisms

2006 ◽  
Vol 7 (1) ◽  
Author(s):  
Pushplata Prasad ◽  
Arun K Tiwari ◽  
KM Prasanna Kumar ◽  
AC Ammini ◽  
Arvind Gupta ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Renal Insufficiency ◽  
Chronic Renal Insufficiency ◽  
Gene Polymorphisms ◽  
Asian Indians

scholarly journals Common Variants of Homocysteine Metabolism Pathway Genes and Risk of Type 2 Diabetes and Related Traits in Indians

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Ganesh Chauhan ◽  
Ismeet Kaur ◽  
Rubina Tabassum ◽  
Om Prakash Dwivedi ◽  
Saurabh Ghosh ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Meta Analysis ◽  
Density Lipoprotein ◽  
Cardiovascular Disorder ◽  
Common Variants ◽  
Study Population ◽  
North Indians ◽  
Sample Set

Hyperhomocysteinemia, a risk factor for cardiovascular disorder, obesity, and type 2 diabetes, is prevalent among Indians who are at high risk of these metabolic disorders. We evaluated association of common variants of genes involved in homocysteine metabolism or its levels with type 2 diabetes, obesity, and related traits in North Indians. We genotyped 90 variants in initial phase (2.115 subjects) and replicated top signals in an independent sample set (2.085 subjects). The variantMTHFR-rs1801133 was the top signal for association with type 2 diabetes (OR=0.78(95%  CI=0.67–0.92),P=0.003) and was also associated with 2 h postload plasma glucose (P=0.04), high-density lipoprotein cholesterol (P=0.004), and total cholesterol (P=0.01) in control subjects. These associations were neither replicated nor significant after meta-analysis. Studies involving a larger study population and different ethnic groups are required before ruling out the role of these important candidate genes in type 2 diabetes, obesity, and related traits.

scholarly journals The Role of Aerobic Training Variables Progression on Glycemic Control of Patients with Type 2 Diabetes: a Systematic Review with Meta-analysis

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Rodrigo Sudatti Delevatti ◽  
Cláudia Gomes Bracht ◽  
Salime Donida Chedid Lisboa ◽  
Rochelle Rocha Costa ◽  
Elisa Corrêa Marson ◽  
...  
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Glycemic Control ◽  
Aerobic Training ◽  
Meta Analysis

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.

P2482Sex-based differences in cardioprotective role of SGLT-2 inhibitors in patients with type 2 diabetes mellitus

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
N Madan ◽  
S Sohal ◽  
B Parapid ◽  
L Sperling ◽  
J L Januzzi ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Meta Analysis ◽  
Mixed Effect ◽  
Pooled Data ◽  
Major Cardiovascular Events ◽  
Effect Model

Abstract Background Randomized studies have shown that sodium-glucose cotransporter-2 inhibitors (SGLT2i) reduce major cardiovascular events in patients with type 2 diabetes mellitus. However, it is not known whether there are significant sex-based differences in the cardioprotective role of SGLT-2 inhibitors. Purpose To investigate whether sex differences exist in reduction of major cardiovascular events (MACE)in patients with type 2 diabetes mellitus when treated with SGLT2i. Methods A comprehensive PubMed search was conducted using keywords, (“Diabetes” AND (“Dapagliflozin” OR “Empagliflozin” OR “Canagliflozin” OR “Ertugliflozin”) AND “Outcomes”) that resulted in a total of 221 studies. Studies were included in our meta-analysis if they were randomized controlled trials, placebo-controlled, reported MACE as the primary outcome and reported sex-based subgroup analyses of these outcomes. Only 2 RCTs (EMPA-REG and DECLARE-TIMI 58) met our inclusion criteria.The sex-based event data for both trials was pooled to calculate risk ratios (RR) with 95% confidence intervals (CI). Analyses was performed using Comprehensive Meta-analysis (CMA) software. Fixed effect models, random effect models and mixed effect models were used. Results Pooled datafrom the 2 RCTs (EMPA-REG and DECLARE-TIMI 58) resulted in a total of 24,180 patients who were included in our primary analysis. Of these, 2331 patients were reported to have MACE. In our pooled data, SGLT2i reduced MACE in patients with diabetes with an overall risk ratio of 0.92 (0.85–0.99), p=0.03 (I2=0, p=0.31)using fixed effect model (Table 1). We also performed subgroup analysis of the pooled data categorizing by sex and using mixed effect model. Our subgroup analysis by sex showed a Q statistic of 1.88 with p-value of 0.17 suggesting that there is no significant difference in MACE reduction between men and women with diabetes when treated with SGLT2i. However, on further analyzing the sex differences in the individual trials, we found that women may have greater reduction in MACE compared with their male counterparts (RR in females: 0.66 (0.42–1.04); RR in males: 0.92 (0.84–1.00)), however this finding did not meet statistical significance (Table 2). Conclusion Our meta-analysis included the pooled data from 2 major RCTs (EMPA-REG and DECLARE-TIMI 58) assessing the cardioprotective role of SGLT2i in diabetic patients and shows that SGLT2i significantly reduce the risk of major adverse CV events in patients with type 2 diabetes mellitus. However, we did not find any significant sex-based differences in reduction of MACE between men and women with diabetes when treated with SGLT2i.

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