Comprehensive data on the relationship between KCNJ11 polymorphisms and gestational diabetes mellitus predisposition: a meta-analysis

Purpose 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 secret...

Full description

Saved in:
Bibliographic Details
Published in:Journal of diabetes and metabolic disorders 2024-04, Vol.23 (1), p.475-486
Main Authors: Golshan-Tafti, Mohammad, Bahrami, Reza, Dastgheib, Seyed Alireza, Karimi-Zarchi, Mojgan, Azizi, Sepideh, Marzbanrad, Zahra, Hajizadeh, Nazanin, Aghasipour, Maryam, Yeganegi, Maryam, Shiri, Amirmasoud, Aghili, Kazem, Neamatzadeh, Hossein
Format: Article
Language:English
Subjects:
Dextrose
Diabetes
Diabetes in pregnancy
Endocrinology
Genes
Genetic aspects
Genetic polymorphisms
Glucose
Medicine
Medicine & Public Health
Metabolic Diseases
Review Article
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Purpose 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. Methods 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. Results 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. Conclusions 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.
ISSN:2251-6581
2251-6581
DOI:10.1007/s40200-024-01428-0