Association between KCNJ11 rs5219 polymorphisms and gestational diabetes mellitus: A meta-analysis

期刊论文
发表日期：

2024年7月24日

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Jethendra Kumar Muruganantham,
Iyshwarya B K,
Ramakrishnan Veerabathiran

摘要

Background

Gestational diabetes mellitus (GDM), characterized by hyperglycemia during pregnancy, is influenced by various factors, including genetic predisposition. The potassium inwardly rectifying channel gene (KCNJ11) and its polymorphisms, such as rs5219, have been implicated in diabetes. This study intends to assess the efficiency of meta-analysis to assess the link between KCNJ11 rs5219 polymorphism and GDM risk.

Objective

The primary objective is to examine the probable link between the KCNJ11 rs5219 polymorphism and the risk of resulting GDM through a comprehensive meta-analysis. The study aims to contribute insights into the genetic factors influencing GDM susceptibility, specifically focusing on the KCNJ11 rs5219 polymorphic site.

Methods

A thorough literature search was conducted on Embase, PubMed, and Google Scholar, focusing on studies examining the association between KCNJ11 gene polymorphism and GDM. Inclusion criteria encompassed case–control studies providing genotypic and allele frequency data. The Newcastle–Ottawa Scale assessed study quality. Statistical analyses, utilizing Review Manager 5.4, included heterogeneity assessment, odds ratio calculation, and exploration of publication bias.

Results

These findings indicate that KCNJ11 rs5219 is a significant risk factor for GDM, especially in recessive genetic models. Further research is essential to verify these conclusions and to identify the processes behind them. The Begg and Egger tests show no indication of publication bias in our study.

Conclusion

This meta-analysis indicates a slightly significant association between KCNJ11 rs5219 polymorphism, specifically in the recessive model, and an amplified risk of GDM. The results highlight the intricate interplay of genetic factors in GDM and advocate for further research to unravel underlying mechanisms. Insights gained from this study may contribute to enhanced diagnostics and tailored treatments for individuals affected by gestational diabetes mellitus.