MTNR1B gene on susceptibility to gestational diabetes mellitus: a two-stage hospital-based study in Southern China

Jia, Yulong; Shen, Yi; Shi, Xin; Gu, Xuefeng; Zhang, Peng; Liu, Yuanlin; Zhu, Aiyong; Jiang, Liying

doi:10.1007/s00438-020-01706-5

Cited by 9 publications

(6 citation statements)

References 23 publications

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“…The placental expression level of MT2 in GDM women carrying the GG and GC genotypes was higher than in those carrying the CC genotype [95]. SNPs rs1387153 (C > T) allele T and rs10830962 (C > G) allele G are both located in the intergenic region over 2 kb upstream from MTNR1B and demonstrated a significant association with an increased risk of GDM [96,[98][99][100][101]. Notably, maternal rs10830963 (C > G) had an association with offspring birth weight [13,102].…”

Section: Mtnr1bmentioning

confidence: 95%

“…Several MTNR1B polymorphisms were shown to be associated with GDM (Table 1). SNP rs10830963 (C > G), within the single 11.5-kb intron, is the most popular variant, and allele G showed susceptibility to increased risk of GDM from meta-analysis and different ethnicities [7,13,35,39,66,89,[94][95][96][97]. The placental expression level of MT2 in GDM women carrying the GG and GC genotypes was higher than in those carrying the CC genotype [95].…”

Section: Mtnr1bmentioning

confidence: 99%

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Mechanisms and Physiological Roles of Polymorphisms in Gestational Diabetes Mellitus

Suthon,

Tangjittipokin

2024

IJMS

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Gestational diabetes mellitus (GDM) is a significant pregnancy complication linked to perinatal complications and an elevated risk of future metabolic disorders for both mothers and their children. GDM is diagnosed when women without prior diabetes develop chronic hyperglycemia due to β-cell dysfunction during gestation. Global research focuses on the association between GDM and single nucleotide polymorphisms (SNPs) and aims to enhance our understanding of GDM’s pathogenesis, predict its risk, and guide patient management. This review offers a summary of various SNPs linked to a heightened risk of GDM and explores their biological mechanisms within the tissues implicated in the development of the condition.

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Section: Mtnr1bmentioning

confidence: 95%

Section: Mtnr1bmentioning

confidence: 99%

Mechanisms and Physiological Roles of Polymorphisms in Gestational Diabetes Mellitus

Suthon,

Tangjittipokin

2024

IJMS

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“…We excluded one article as it primarily centered on a literature review [20], and two articles due to their insufficient data [21,22]. In the end, we gathered eight case-control studies concerning the rs1387153 polymorphism and GDM [10][11][12][13][14][23][24][25], all of which adhered to the MOOSE (Metaanalysis Of Observational Studies in Epidemiology) guides [26]. The process of document retrieval and research selection is illustrated in Figure 1.…”

Section: Characteristics Of Studiesmentioning

confidence: 99%

“…In the past two decades, numerous studies have probed the potential link between the MTNR1B rs1387153 variant and the risk of GDM, but the results have been inconsistent and unclear [10][11][12][13][14]. In light of this ambiguity, a single meta-analysis of published case-control studies was undertaken to investigate the relationship between the MTNR1B rs1387153 variant and GDM risk.…”

Section: Introductionmentioning

confidence: 99%

<i>MTNR1B</i> rs1387153 Polymorphism and Risk of Gestational Diabetes Mellitus: Meta-Analysis and Trial Sequential Analysis

Shan,

Wang,

2023

Public Health Genomics

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Introduction: Published data on the association between the MTNR1B rs1387153 polymorphism and gestational diabetes mellitus(GDM) risk are controversial. A meta-analysis was performed to assess whether the polymorphism of MTNR1B rs1387153 is associated with GDM risk. Methods: 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. Conclusion: Present meta-analysis reveals that MTNR1B rs1387153 variant may serve as genetic biomarkers of GDM.

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“…Another article revealed that rs10830963, rs1387153, and rs2166706 interact with GDM risk in a southern Chinese population. rs1447352 and rs4753426, in particular, are associated with the reduction of the risk of GDM ( 45 ).…”

Section: Most Common Snps Used In the Grs Studies On Gdmmentioning

confidence: 99%

Genetic risk score to improve prediction and treatment in gestational diabetes mellitus

Tian

2022

Front. Endocrinol.

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Diabetes mellitus is a chronic disease caused by the interaction of genetics and the environment that can lead to chronic damage to many organ systems. Genome-wide association studies have identified accumulating single-nucleotide polymorphisms related to type 2 diabetes mellitus and gestational diabetes mellitus. Genetic risk score (GRS) has been utilized to evaluate the incidence risk to improve prediction and optimize treatments. This article reviews the research progress in the use of the GRS in diabetes mellitus in recent years and discusses future prospects.

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MTNR1B gene on susceptibility to gestational diabetes mellitus: a two-stage hospital-based study in Southern China

Cited by 9 publications

References 23 publications

Mechanisms and Physiological Roles of Polymorphisms in Gestational Diabetes Mellitus

Mechanisms and Physiological Roles of Polymorphisms in Gestational Diabetes Mellitus

<i>MTNR1B</i> rs1387153 Polymorphism and Risk of Gestational Diabetes Mellitus: Meta-Analysis and Trial Sequential Analysis

Genetic risk score to improve prediction and treatment in gestational diabetes mellitus

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