MTNR1B rs1387153 Polymorphism and Risk of Gestational Diabetes Mellitus: Meta-Analysis and Trial Sequential Analysis.

IF 1.3 4区医学 Q4 GENETICS & HEREDITY Public Health Genomics Pub Date : 2023-01-01 Epub Date: 2023-11-17 DOI:10.1159/000535148

Dan Shan, Ao Wang, Ke Yi

{"title":"MTNR1B rs1387153 Polymorphism and Risk of Gestational Diabetes Mellitus: Meta-Analysis and Trial Sequential Analysis.","authors":"Dan Shan, Ao Wang, Ke Yi","doi":"10.1159/000535148","DOIUrl":null,"url":null,"abstract":"Background: Published data on the association between the MTNR1B rs1387153 polymorphism and gestational diabetes mellitus (GDM) risk are controversial.Objective: A meta-analysis was performed to assess whether the polymorphism of MTNR1B rs1387153 is associated with GDM risk.Method: Medline, Embase, China National Knowledge Infrastructure, and Chinese Biomedicine Databases were searched to identify eligible studies. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) for MTNR1B rs1387153 polymorphism and GDM were appropriately derived from fixed-effects or random effects models.Results: A total of 8 studies were enrolled in this meta-analysis. The pooled analyses revealed that MTNR1B rs1387153 polymorphism significantly increased the risk of GDM in all models (allele contrast (C vs. T): OR, 0.78; 95% CI, 0.73-0.83; homozygote (CC vs. TT): OR, 0.61; 95% CI, 0.53-0.69; heterozygote (CT vs. TT): OR, 0.78; 95% CI, 0.69-0.89; dominant model (CC + CT vs. TT): OR, 0.71; 95% CI, 0.63-0.80; recessive model (CC vs. CT + TT): OR, 0.73; 95% CI, 0.67-0.81). Further subgroup analyses by ethnicity of participants yielded similar positive results.Conclusions: Present meta-analysis reveals that MTNR1B rs1387153 variant may serve as genetic biomarkers of GDM.","PeriodicalId":49650,"journal":{"name":"Public Health Genomics","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Public Health Genomics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1159/000535148","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/11/17 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}

引用次数: 0

Abstract

Background: Published data on the association between the MTNR1B rs1387153 polymorphism and gestational diabetes mellitus (GDM) risk are controversial.

Objective: A meta-analysis was performed to assess whether the polymorphism of MTNR1B rs1387153 is associated with GDM risk.

Method: Medline, Embase, China National Knowledge Infrastructure, and Chinese Biomedicine Databases were searched to identify eligible studies. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) for MTNR1B rs1387153 polymorphism and GDM were appropriately derived from fixed-effects or random effects models.

Results: A total of 8 studies were enrolled in this meta-analysis. The pooled analyses revealed that MTNR1B rs1387153 polymorphism significantly increased the risk of GDM in all models (allele contrast (C vs. T): OR, 0.78; 95% CI, 0.73-0.83; homozygote (CC vs. TT): OR, 0.61; 95% CI, 0.53-0.69; heterozygote (CT vs. TT): OR, 0.78; 95% CI, 0.69-0.89; dominant model (CC + CT vs. TT): OR, 0.71; 95% CI, 0.63-0.80; recessive model (CC vs. CT + TT): OR, 0.73; 95% CI, 0.67-0.81). Further subgroup analyses by ethnicity of participants yielded similar positive results.

Conclusions: Present meta-analysis reveals that MTNR1B rs1387153 variant may serve as genetic biomarkers of GDM.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

MTNR1B rs1387153多态性与妊娠期糖尿病的风险:荟萃分析和试验序列分析。

已发表的MTNR1B rs1387153多态性与妊娠糖尿病(GDM)风险之间的关联数据存在争议。进行荟萃分析以评估MTNR1B rs1387153多态性是否与GDM风险相关。方法:检索Medline, Embase，中国国家知识基础设施和中国生物医学数据库，以确定符合条件的研究。MTNR1B rs1387153多态性和GDM的合并优势比(ORs)和95%置信区间(ci)适当地从固定效应或随机效应模型中得出。结果:本meta分析共纳入8项研究。合并分析显示，MTNR1B rs1387153多态性在所有模型中显著增加GDM的风险。等位基因对比(C vs T): OR, 0.78;95%置信区间,0.73 - -0.83;纯合子(CC vs TT): OR, 0.61;95% CI, 0.53-0.69;杂合子(CT vs TT): OR, 0.78;95% ci, 0.69-0.89;优势模型(CC +CT vs TT): OR, 0.71;95% ci, 0.63-0.80;隐性模型(CC vs CT + TT): OR, 0.73;95%可信区间,0.67 - -0.81)。进一步的种族亚组分析得出了类似的阳性结果。结论:本荟萃分析显示MTNR1B rs1387153变异可能是GDM的遗传生物标志物。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Public Health Genomics 医学-公共卫生、环境卫生与职业卫生

CiteScore

2.90

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： ''Public Health Genomics'' is the leading international journal focusing on the timely translation of genome-based knowledge and technologies into public health, health policies, and healthcare as a whole. This peer-reviewed journal is a bimonthly forum featuring original papers, reviews, short communications, and policy statements. It is supplemented by topic-specific issues providing a comprehensive, holistic and ''all-inclusive'' picture of the chosen subject. Multidisciplinary in scope, it combines theoretical and empirical work from a range of disciplines, notably public health, molecular and medical sciences, the humanities and social sciences. In so doing, it also takes into account rapid scientific advances from fields such as systems biology, microbiomics, epigenomics or information and communication technologies as well as the hight potential of ''big data'' for public health.