PDF(Pubmed)
Abstract：
UNASSIGNED: The genetic aspect of gestational diabetes mellitus (GDM) is influenced by multiple causal genetic variants, each with different effect sizes. The KCNJ11 gene is particularly noteworthy as a potential contributor to the risk of GDM due to its role in regulating glucose-induced insulin secretion. To evaluate the association between KCNJ11 polymorphisms and GDM, a comprehensive meta-analysis was conducted to review the existing literature and quantitatively assess the correlation.
UNASSIGNED: A thorough search was performed on the PubMed, EMBASE, Scopus, and CNKI databases until December 25, 2023, using precise terms and keywords related to Gestational Diabetes, KCNJ11 gene, and polymorphism. Odds ratios and 95% confidence intervals were used to evaluate the relationships. The statistical analysis was conducted using Comprehensive Meta-Analysis software, and the Cochrane risk of bias assessment tool was used to determine bias presence.
UNASSIGNED: The meta-analysis comprised 9 studies with 3108 GDM cases and 5374 controls for the rs5219 polymorphism, and 3 studies with 1209 GDM cases and 1438 controls for the rs5210 polymorphism. The pooled data indicated a noteworthy link between the rs5219 polymorphism and GDM globally and among various ethnic groups, notably in Caucasian and Asian populations. However, no substantial association was observed between the rs5210 polymorphism and GDM.
UNASSIGNED: Pooled data showed a correlation between the KCNJ11 rs5219 polymorphism and GDM susceptibility, but no association was found for the rs5210 polymorphism. Future research with larger sample sizes and more diverse populations is needed to improve result generalizability.
UNASSIGNED: The online version contains supplementary material available at 10.1007/s40200-024-01428-0.
UNASSIGNED: A thorough search was performed on the PubMed, EMBASE, Scopus, and CNKI databases until December 25, 2023, using precise terms and keywords related to Gestational Diabetes, KCNJ11 gene, and polymorphism. Odds ratios and 95% confidence intervals were used to evaluate the relationships. The statistical analysis was conducted using Comprehensive Meta-Analysis software, and the Cochrane risk of bias assessment tool was used to determine bias presence.
UNASSIGNED: The meta-analysis comprised 9 studies with 3108 GDM cases and 5374 controls for the rs5219 polymorphism, and 3 studies with 1209 GDM cases and 1438 controls for the rs5210 polymorphism. The pooled data indicated a noteworthy link between the rs5219 polymorphism and GDM globally and among various ethnic groups, notably in Caucasian and Asian populations. However, no substantial association was observed between the rs5210 polymorphism and GDM.
UNASSIGNED: Pooled data showed a correlation between the KCNJ11 rs5219 polymorphism and GDM susceptibility, but no association was found for the rs5210 polymorphism. Future research with larger sample sizes and more diverse populations is needed to improve result generalizability.
UNASSIGNED: The online version contains supplementary material available at 10.1007/s40200-024-01428-0.
摘要：
■妊娠期糖尿病（GDM）的遗传方面受多种因果遗传变异的影响，每个都有不同的效果大小。由于其在调节葡萄糖诱导的胰岛素分泌中的作用，KCNJ11基因作为GDM风险的潜在贡献者尤其值得注意。为了评估KCNJ11多态性与GDM之间的关联，我们进行了全面的荟萃分析,以回顾现有文献并定量评估相关性.
■在PubMed上进行了彻底的搜索，EMBASE,Scopus,和CNKI数据库，直到2023年12月25日，使用与妊娠糖尿病相关的精确术语和关键词，KCNJ11基因,和多态性。使用赔率比和95%置信区间来评估这些关系。采用综合Meta分析软件进行统计分析。并使用Cochrane偏倚风险评估工具确定偏倚存在。
■荟萃分析包括9项研究，其中3108例GDM病例和5374例对照rs5219多态性，3项研究涉及1209例GDM病例和1438例rs5210多态性对照。汇总的数据表明rs5219多态性与全球和各个种族之间的GDM之间存在值得注意的联系，特别是在高加索和亚洲人群中。然而,rs5210多态性与GDM之间未观察到实质性关联.
■汇总数据显示KCNJ11rs5219多态性与GDM易感性之间存在相关性，但rs5210多态性没有发现关联。未来的研究需要更大的样本量和更多样化的群体，以提高结果的普遍性。
■在线版本包含补充材料，可在10.1007/s40200-024-01428-0获得。
■在PubMed上进行了彻底的搜索，EMBASE,Scopus,和CNKI数据库，直到2023年12月25日，使用与妊娠糖尿病相关的精确术语和关键词，KCNJ11基因,和多态性。使用赔率比和95%置信区间来评估这些关系。采用综合Meta分析软件进行统计分析。并使用Cochrane偏倚风险评估工具确定偏倚存在。
■荟萃分析包括9项研究，其中3108例GDM病例和5374例对照rs5219多态性，3项研究涉及1209例GDM病例和1438例rs5210多态性对照。汇总的数据表明rs5219多态性与全球和各个种族之间的GDM之间存在值得注意的联系，特别是在高加索和亚洲人群中。然而,rs5210多态性与GDM之间未观察到实质性关联.
■汇总数据显示KCNJ11rs5219多态性与GDM易感性之间存在相关性，但rs5210多态性没有发现关联。未来的研究需要更大的样本量和更多样化的群体，以提高结果的普遍性。
■在线版本包含补充材料，可在10.1007/s40200-024-01428-0获得。
