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Published on: August 25, 2019
Novel single nucleotide polymorphisms in gestational diabetes mellitus
Yuqi Wang1, Ling Li1, Ping Li1
1Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, People's Republic of China.
This review explores single nucleotide polymorphisms (SNPs) linked to gestational diabetes mellitus (GDM). Recent findings highlight specific SNPs, but their clinical use in GDM prediction and management requires further investigation across diverse populations.
Area of Science:
- Genetics
- Obstetrics
- Endocrinology
Background:
- Gestational diabetes mellitus (GDM) is a significant pregnancy complication.
- Single nucleotide polymorphisms (SNPs) are increasingly recognized for their role in GDM pathogenesis.
- Understanding SNP associations can improve GDM risk prediction and patient management.
Purpose of the Study:
- To review recent studies (last 10 years) on the association between SNPs and GDM.
- To identify novel SNPs implicated in GDM development.
- To discuss the potential clinical utility of SNPs in GDM.
Main Methods:
- Systematic literature review of studies published in the last decade.
- Focus on research identifying novel SNPs associated with GDM.
- Synthesis of findings on specific gene-SNP associations.
Main Results:
- Several SNPs were identified as associated with GDM, including in genes HMG20A, CDKAL1, ADIPOQ, MTHFR, IL10, CDKN2B, and TRPM5.
- Specific SNP identifiers (e.g., rs7178572, rs7756992) are linked to GDM risk.
- The review consolidates recent genetic findings in GDM research.
Conclusions:
- Specific SNPs show association with GDM, contributing to understanding its genetic basis.
- The predictive, diagnostic, and therapeutic roles of these SNPs in GDM are not yet fully established.
- Further research is needed, particularly in diverse ethnic groups, to explore the clinical application of SNPs in managing this polygenic disease.
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