scholarly journals Variations in the Obesity Gene “LEPR” Contribute to Risk of Type 2 Diabetes Mellitus: Evidence from a Meta-Analysis

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Ming Ming Yang ◽  
Jun Wang ◽  
Jiao Jie Fan ◽  
Tsz Kin Ng ◽  
Dian Jun Sun ◽  
...  
Keyword(s):  
Gene Polymorphisms ◽  
Leptin Receptor ◽  
Meta Analysis ◽  
Genetic Effect ◽  
Recessive Model ◽  
Dominant Model ◽  
Functional Variants ◽  
Extensive Search ◽  
Allele Model

Leptin is a hormone protein regulating food intake and energy expenditure. A number of studies have evaluated the genetic effect of leptin (LEP) and leptin receptor (LEPR) genes on T2DM. This study aimed to investigate the association between these gene polymorphisms and T2DM by a systematic review and meta-analysis. Published studies were identified through extensive search in PubMed and EMBASE. A total of 5143 T2DM cases and 5021 controls from 14 articles were included in this study. Five functional variants inLEPRwere well evaluated. Meta-analysis showed that rs1137101 (p.R223Q) was significantly associated with T2DM in all genetic models: allele model (OR = 1.27, 95% confidence interval (CI) = 1.13–1.42), dominant model (OR = 1.19, 95% CI = 1.05–1.35), homozygote model (OR = 1.82, 95% CI = 1.38–2.39), and recessive model (OR = 1.75, 95% CI = 1.35–2.28), with minimal heterogeneity and no indication of publication bias. Similar associations with T2DM were also found for rs62589000 (p.P1019P) and 3′UTR ins/del, although the data was obtained from a small number of studies. For the other two polymorphisms rs1137100 (p.R109K) and rs8179183 (p.K656N), they were not significantly associated with T2DM. Our results provide robust evidences for the genetic association of rs1137101 (p.R223Q) inLEPRwith T2DM susceptibility.

Associations Between Adipokines Gene Polymorphisms and Osteoarthritis: a Meta-analysis

2021 ◽  
Author(s):  
Yuqing Wang ◽  
Fanqiang Meng ◽  
Jing Wu ◽  
Huizhong Long ◽  
Jiatian Li ◽  
...  
Keyword(s):  
Gene Polymorphisms ◽  
Web Of Science ◽  
Meta Analysis ◽  
Recessive Model ◽  
Systematic Search ◽  
Dominant Model ◽  
China National Knowledge Infrastructure ◽  
Knowledge Infrastructure ◽  
Registration Number ◽  
Allele Model

Abstract Background: Adipokines gene polymorphisms are speculated to have associations with the risk of osteoarthritis (OA), but evidences remain conflicting. This study therefore aimed to examine the potential associations between adipokines gene polymorphisms and OA.Methods: A systematic search was performed on PubMed, Embase, Web of Science, China National Knowledge Infrastructure (CNKI), and Wanfang up to March 31, 2020. Meta-analysis was carried out by focusing on associations between adipokines gene polymorphisms and OA with allele model, dominant model, recessive model, homozygote model, and heterozygote model.Results: The present meta-analysis included 13 studies containing 3,661 OA patients and 4,864 controls for analysis. Significant associations were observed between ADIPOQ rs2241766 and OA in Asians (dominant: OR = 1.35, 95% CI 1.03-1.78; heterozygote: OR = 1.43, 95% CI 1.07-1.19), between LEPR rs1137101 and OA in the overall population (recessive: OR = 0.40, 95% CI 0.21-0.79; homozygote: OR = 0.38, 95% CI 0.18-0.79), between VISFATIN rs4730153 and OA in Asians (allele: OR = 0.58, 95% CI 0.41-0.83; dominant: OR = 0.57, 95% CI 0.39-0.83; heterozygote: OR = 0.59, 95% CI 0.40-0.86), and between VISFATIN rs16872158 and OA in Asians (allele: OR = 1.84, 95% CI 1.26-2.68; dominant: OR = 1.94, 95% CI 1.31-2.89; heterozygote: OR = 1.97, 95% CI 1.31-2.95).Conclusions: Adipokines gene polymorphisms may be associated with OA. In particular, associations were observed in ADIPOQ rs2241766, LEPR rs1137101, VISFATIN rs4730153, and VISFATIN rs16872158 in the present study. PROSPERO registration number: CRD42020187664.

scholarly journals The association of TNF-α −308G/A and −238G/A polymorphisms with type 2 diabetes mellitus: a meta-analysis

2019 ◽  
Vol 39 (12) ◽  
Author(s):  
Xiaoliang Guo ◽  
Chenxi Li ◽  
Jiawei Wu ◽  
Qingbu Mei ◽  
Chang Liu ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Meta Analysis ◽  
Recessive Model ◽  
Dominant Model ◽  
Codominant Model ◽  
Tnf Α ◽  
Allele Model

Abstract Tumor necrosis factor-α (TNF-α) is involved in insulin resistance and has long been a candidate gene implicated in type 2 diabetes mellitus (T2DM), however the association between TNF-α polymorphisms -308G/A and -238G/A and T2DM remains controversial. The present study sought to verify associations between these polymorphisms and T2DM susceptibility using a meta-analysis approach. A total of 49 case–control studies were selected up to October 2018. Statistical analyses were performed by STATA 15.0 software. The odds ratios (ORs) and 95% confidence intervals were calculated to estimate associations. Meta-analyses revealed significant associations between TNF-α −308G/A and T2DM in the allele model (P=0.000); the dominant model (P=0.000); the recessive model (P=0.001); the overdominant model (P=0.008) and the codominant model (P=0.000). Subgroup analyses also showed associations in the allele model (P=0.006); the dominant model (P=0.004) and the overdominant model (P=0.005) in the Caucasian and in the allele model (P=0.007); the dominant model (P=0.014); the recessive model (P=0.000) and the codominant model (P=0.000) in the Asian. There were no associations between TNF-α −238G/A and T2DM in the overall and subgroup populations. Meta-regression, sensitivity analysis and publication bias analysis confirmed that results and data were statistically robust. Our meta-analysis suggests that TNF-α −308G/A is a risk factor for T2DM in Caucasian and Asian populations. It also indicates that TNF-α −238G/A may not be a risk factor for T2DM. More comprehensive studies will be required to confirm these associations.

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 Different Associations Between CDKAL1 Variants and Type 2 Diabetes Mellitus Susceptibility: A Meta-analysis

2022 ◽  
Vol 12 ◽  
Author(s):  
Qiaoli Zeng ◽  
Dehua Zou ◽  
Shanshan Gu ◽  
Fengqiong Han ◽  
Shilin Cao ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Meta Analysis ◽  
Regulatory Subunit ◽  
Dominant Model ◽  
Increased Risk ◽  
Pathogenesis Related Protein ◽  
Allele Model

Background:CDK5 regulatory subunit associated protein 1 like 1 (CDKAL1) is a major pathogenesis-related protein for type 2 diabetes mellitus (T2DM). Recently, some studies have investigated the association of CDKAL1 susceptibility variants, including rs4712523, rs4712524, and rs9460546 with T2DM. However, the results were inconsistent. This study aimed to evaluate the association of CDKAL1 variants and T2DM patients.Methods: A comprehensive meta-analysis was performed to assess the association between CDKAL1 SNPs and T2DM among dominant, recessive, additive, and allele models.Results: We investigated these three CDKAL1 variants to identify T2DM risk. Our findings were as follows: rs4712523 was associated with an increased risk of T2DM for the allele model (G vs A: OR = 1.172; 95% CI: 1.103–1.244; p < 0.001) and dominant model (GG + AG vs AA: OR = 1.464; 95% CI: 1.073–1.996; p = 0.016); rs4712524 was significantly associated with an increased risk of T2DM for the allele model (G vs A: OR = 1.146; 95% CI: 1.056–1.245; p = 0.001), additive model (GG vs AA: OR = 1.455; 95% CI: 1.265–1.673; p < 0.001) recessive model (GG vs AA + AG: OR = 1.343; 95% CI: 1.187–1.518; p < 0.001) and dominant model (GG + AG vs AA: OR = 1.221; 95% CI: 1.155–1.292; p < 0.001); and rs9460546 was associated with an increased risk of T2DM for the allele model (G vs T: OR = 1.215; 95% CI: 1.167–1.264; p = 0.023). The same results were found in the East Asian subgroup for the allele model.Conclusions: Our findings suggest that CDKAL1 polymorphisms (rs4712523, rs4712524, and rs9460546) are significantly associated with T2DM.

scholarly journals Lack of association between polymorphism of IL-2 -330T/G and pulmonary tuberculosis among Caucasians

2020 ◽  
Vol 26 (5) ◽  
pp. 398-402
Author(s):  
Haibo Ge ◽  
Shi Chen ◽  
Jia Zhu
Keyword(s):  
Pulmonary Tuberculosis ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Recessive Model ◽  
Dominant Model ◽  
Pulmonary Tb ◽  
Increased Risk ◽  
The Relationship ◽  
Allele Model ◽  
Combined Data

This meta-analysis was conducted to assess the consistency and strength of the relationship between polymorphism of IL-2 -330T/G and susceptibility to pulmonary tuberculosis (TB). PubMed, Web of Knowledge and CNKI were searched to find eligible studies about the relationship between IL-2 -330T/G polymorphism and susceptibility to pulmonary TB. A total of eight studies comprising 971 cases and 1519 controls were grouped together for the purpose of elucidating the relationship between polymorphism of IL-2 -330T/G and pulmonary TB susceptibility. The allele model (G vs. T: odds ratio (OR) = 1.34; 95% confidence interval (CI) 1.05–1.71, Phet = 0.001) and the recessive model (GG+GT vs. TT: OR = 1.60; 95% CI 1.08–2.38, Phet = 0.0001) showed an increased risk of development of pulmonary TB. However, the homozygous model (GG vs. TT: OR = 1.74; 95% CI 0.98–3.09, Phet = 0.0005) and the dominant model (GG vs. TT + TG: OR = 1.30; 95% CI = 0.80-2.14, Phet =  0.001) failed to show an increased incidence of pulmonary TB. When analysis was stratified by ethnicity, no obvious associations were identified in the Caucasian subgroup under all four genetic models. Additionally, heterogeneity disappeared in the analysis of Caucasian subgroup. Our combined data suggested that there was no association between IL-2 -330T/G polymorphism and pulmonary TB among Caucasians.

scholarly journals Mannose-binding lectin gene polymorphism and the susceptibility of sepsis: A meta-analysis

2021 ◽  
Author(s):  
Zhihua Hu ◽  
Shaowen Cheng ◽  
Xini Liu ◽  
Lina Xian ◽  
Xinyuan Liang ◽  
...  
Keyword(s):  
Gene Polymorphism ◽  
Publication Bias ◽  
Meta Analysis ◽  
Relevant Literature ◽  
Recessive Model ◽  
Mannose Binding Lectin ◽  
Dominant Model ◽  
Mannose Binding ◽  
Binding Lectin ◽  
Allele Model

Abstract Objective To assess the association between the Mannose-binding lectin (MBL) gene polymorphism and the susceptibility to sepsis using a meta-analysis.Methods The publications were searched on PubMed, Embase, and Web of Science databases up to December 1, 2019 for relevant literature. Results A total of 32 studies (21 adult and 11 pediatric studies) were selected for analysis. Overall, in the three models of MBL +54 A/B gene polymorphisms, namely the dominant model BB + AB vs. AA (p = 0.03), the recessive model BB vs. AB + AA (p < 0.00001), and the allele model B vs. A (p = 0.04), MBL +54A/B was significantly related to the risk of sepsis. In the adult group, the MBL A/O gene polymorphism was associated with the risk of sepsis in the dominant model AO + OO vs. AA (p = 0.006) as well as in the allele model O vs. A (p = 0.04). The MBL +54A/B gene polymorphism was significantly related to the risk of sepsis in the recessive model and, therefore, may increase the risk of sepsis. In the pediatric group, no polymorphic loci were significantly associated with sepsis in any of the three models. The results of the publication bias test demonstrated no publication bias in an unadjusted estimate of the relationship between MBL A/O and -211Y/X gene polymorphism and sepsis.

Contribution of Rs780094 and Rs1260326 Polymorphisms in GCKR Gene to Nonalcoholic Fatty Liver Disease: A Meta-Analysis Involving 26,552 Participants

2020 ◽  
Vol 20 ◽  
Author(s):  
Jiaying Li ◽  
Yuening Zhao ◽  
Hongxiang Zhang ◽  
Wenxi Hua ◽  
Wenzhi Jiao ◽  
...  
Keyword(s):  
Liver Disease ◽  
Fatty Liver ◽  
Nonalcoholic Fatty Liver Disease ◽  
Fatty Liver Disease ◽  
Meta Analysis ◽  
Recessive Model ◽  
Dominant Model ◽  
Nonalcoholic Fatty Liver ◽  
Allele Model ◽  
Gckr Rs780094

Background:: Many published studies attempted to elucidate the implication of glucokinase regulator gene (GCKR) polymorphisms in the susceptibility to nonalcoholic fatty liver disease (NAFLD), but the results among them were still with controversy. Objective:: This meta-analysis aims to precisely assess the relationship between the GCKR polymorphisms and the risk of NAFLD. Methods:: Systematic computerized searches in six databases were performed and updated to April 6, 2020. Meta-analyses were conducted by calling the R programs based on accumulated epidemiological data. Odds ratio (OR) and 95% confidential interval (CI) were calculated to summarize the effect estimates. Results:: In total, 25 studies involving 6,598 cases and 19,954 controls were included. The pooled estimates indicated that the T allele carrier of the GCKR rs780094 polymorphism has predisposition to NAFLD (allele model: OR: 1.20, 95% CI: 1.11~1.29; homozygote model: OR: 1.38, 95% CI: 1.15~1.67; heterozygote model: OR: 1.25, 95% CI: 1.12~1.39; dominant model: OR: 1.29, 95% CI: 1.13~1.47; recessive model: OR: 1.18, 95% CI: 1.06~1.31), and the same as the rs1260326 polymorphism (allele model: OR: 1.32, 95% CI: 1.22~1.42; homozygote model: OR: 1.65, 95% CI: 1.40~1.94; heterozygote model: OR: 1.24, 95% CI: 1.07~1.43; dominant model: OR: 1.39, 95% CI: 1.21~1.59; recessive model: OR: 1.44, 95% CI: 1.28~1.62). Further stratified analyses according to age and ethnicity confirmed the statistical existence in most subgroups. Conclusion:: This meta-analysis suggested that both of the GCKR rs780094 and rs1260326 polymorphisms are significantly associated with the increased risk of NAFLD.

scholarly journals Associations between vitamin D receptor genetic variants and tuberculosis: a meta-analysis

2019 ◽  
Vol 25 (5) ◽  
pp. 305-313
Author(s):  
Xun Xu ◽  
Minghao Shen
Keyword(s):  
Vitamin D ◽  
Vitamin D Receptor ◽  
Genetic Variants ◽  
South Asians ◽  
Meta Analysis ◽  
Recessive Model ◽  
Dominant Model ◽  
Genetic Biomarkers ◽  
Positive Results ◽  
Allele Model

We performed a meta-analysis to evaluate potential associations between vitamin D receptor ( VDR) genetic variants and tuberculosis (TB). Systematic literature research was conducted in PubMed, Web of Science, and Embase. We calculated odds ratios (ORs) and 95% confidence intervals (CIs) to estimate strength of associations in all possible genetic models, and P values ≤ 0.05 were considered to be statistically significant. In total, 42 studies were enrolled for analyses. Pooled overall analyses suggested that VDR rs1544410 (dominant model: P = 0.02; allele model: P = 0.03) and rs731236 (dominant model: P = 0.04; recessive model: P = 0.02; allele model: P = 0.01) variants were significantly associated with TB. Further subgroup analyses by ethnicity revealed that rs1544410 (dominant and allele models) and rs731236 (dominant, recessive, and allele models) variants were both significantly associated with TB in South Asians. When we stratified data by type of disease, positive results were detected for rs7975232 variant in EPTB (dominant, recessive, over-dominant, and allele models) subgroup, and for rs2228570 variant in PTB (dominant, recessive, and allele models) and EPTB (dominant, recessive, over-dominant, and allele models) subgroups. Our meta-analysis supported that rs7975232, rs1544410, rs2228570, and rs731236 variants might serve as genetic biomarkers of certain types of TB.

Effects of MTNR1B Genetic Variants on Individual Susceptibility to Gestational Diabetes Mellitus: A Meta-Analysis

2019 ◽  
Vol 37 (06) ◽  
pp. 607-612 ◽  
Author(s):  
Guangliang Jia ◽  
Yanxiang Gao ◽  
Chunzhi Li ◽  
Yanqin Zhang
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Meta Analysis ◽  
Recessive Model ◽  
Dominant Model ◽  
China National Knowledge Infrastructure ◽  
Knowledge Infrastructure ◽  
Melatonin Receptor 1B ◽  
Allele Model

Abstract Objective Whether melatonin receptor 1B (MTNR1B) variants are implicated in gestational diabetes mellitus (GDM) remains unclear. Therefore, we performed this meta-analysis to obtain a more conclusive result on associations between MTNR1B variants and GDM. Study Design Literature research was performed in PubMed, Web of Science, Embase, and China National Knowledge Infrastructure. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated. Results A total of 17 studies were eligible for analyses. Pooled overall analyses showed that rs1387153 (dominant model: p = 0.0002, OR = 0.78, 95% CI: 0.68–0.89; recessive model: p < 0.0001, OR = 1.46, 95% CI: 1.24–1.73; allele model: p < 0.0001, OR = 0.78, 95% CI: 0.72–0.84), rs4753426 (recessive model: p = 0.01, OR = 1.75, 95% CI: 1.14–2.68; allele model: p = 0.01, OR = 0.69, 95% CI: 0.51–0.93), and rs10830963 (dominant model: p < 0.0001, OR = 0.72, 95% CI: 0.65–0.78; recessive model: p < 0.0001, OR = 1.56, 95% CI: 1.40–1.74; allele model: p < 0.0001, OR = 0.73, 95% CI: 0.69–0.78) variants were all significantly associated with the susceptibility to GDM. Further subgroup analyses by ethnicity of participants yielded similar positive results. Conclusion Our findings indicated that MTNR1B rs1387153, rs4753426, and rs10830963 variants might serve as genetic biomarkers of GDM.

scholarly journals The roles of ANRIL polymorphisms in coronary artery disease: a meta-analysis

2019 ◽  
Vol 39 (12) ◽  
Author(s):  
Lina Hu ◽  
Guoyi Su ◽  
Xia Wang
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Meta Analysis ◽  
Additive Model ◽  
Recessive Model ◽  
Dominant Model ◽  
Non Coding Rna ◽  
Artery Disease ◽  
Strength Of Association ◽  
Allele Model

Abstract Background: The relationship between antisense non-coding RNA (ncRNA) in the INK4 locus (ANRIL) polymorphisms and coronary artery disease (CAD) remains inconclusive. Thus, we conducted this meta-analysis to better evaluate the roles of ANRIL polymorphisms in CAD. Methods: Systematic literature search of PubMed, Medline, and Embase was performed to identify potential relevant articles. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to estimate the strength of association. Results: Fifteen studies were finally enrolled for analyses. Overall analyses suggested that rs1333040 (dominant model: P&lt;0.0001; recessive model: P&lt;0.0001; allele model: P&lt;0.0001), rs1333049 (dominant model: P=0.02; allele model: P=0.02) and rs2383207 (additive model: P=0.004) polymorphisms were significantly associated with the risk of CAD. Further subgroup analyses showed that rs1333040, rs1333049, and rs2383207 polymorphisms were significantly correlated with the risk of CAD in East Asians, rs2383206 and rs10757274 polymorphisms were significantly correlated with the risk of CAD in West Asians, while rs2383206, rs10757274, and rs10757278 polymorphisms were significantly correlated with the risk of CAD in Caucasians. Conclusion: Our findings indicated that rs1333040, rs1333049, rs2383206, rs2383207, rs10757274, and rs10757278 polymorphisms might serve as genetic biomarkers of CAD in certain ethnicities.

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