Meta-Analysis of the Genetic Factors that Predisposed Asian Women to Gestational Diabetes Mellitus

A meta-analysis was conducted to determine the significant risk alleles which increase the risks of gestational diabetes mellitus (GDM) in Asian to help in decision-making for genotyping of women at risk. PubMed, Science Direct and HuGE navigator were used to identify relevant studies from January 2000 to November 2018. Data extraction was done by five reviewers. Using Review Manager 5.3, association between 11 SNPs and risks of GDM was determined. Odds ratios (ORs) with 95% confidence intervals (95% CI), test of heterogeneity and publication bias were calculated. The result was considered significant if p-value ≤ 0.05. Twenty-one studies were identified based on the inclusion and exclusion criteria. From 11 genetic variants studied, 9 were found to have significant association with GDM susceptibility with different heterogeneity. Allelic, dominant and recessive genetic models show MTNR1B (rs138753, rs10830963) and CDKAL1 (rs7754840) are significantly associated with GDM. IGF2BP2 (rs4402960) was found to have significant association with GDM using allelic and recessive models. For TCF7L2 (rs7903146), significant association was found using allelic, dominant and over dominant models. KCNQ1 (rs2237892) showed association with GDM in dominant model only. Strong associations with increased susceptibility for GDM were also found for GSTM1 (deletion), GSTT1 (deletion) and GSTP1 (rs1695). However, MTNR1B (rs10830962) and PPARγ2 are lack of association with GDM risk in Asian population. Nine genetic variants were associated with increased GDM risk in Asian population. Screening of these polymorphisms to identify pregnant women at risk is recommended for prevention and personalised intervention.

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Comments on “Effects of MTNR1B Genetic Variants on Individual Susceptibility to Gestational Diabetes Mellitus: A Meta-Analysis”

American Journal of Perinatology ◽

10.1055/s-0039-1695777 ◽

2019 ◽

Author(s):

Morteza Gholami ◽

Mahsa M. Amoli

Keyword(s):

Diabetes Mellitus ◽

Gestational Diabetes ◽

Gestational Diabetes Mellitus ◽

Genetic Variants ◽

Meta Analysis ◽

Individual Susceptibility

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Faculty Opinions recommendation of Genetic variants associated with gestational diabetes mellitus: a meta-analysis and subgroup analysis.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.726586062.793521933 ◽

2016 ◽

Author(s):

Carlos Aguilar-Salinas

Keyword(s):

Diabetes Mellitus ◽

Gestational Diabetes ◽

Gestational Diabetes Mellitus ◽

Subgroup Analysis ◽

Genetic Variants ◽

Meta Analysis

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First Trimester Glycated Hemoglobin (HBA1C) Level as a Novel Predictor of Gestational Diabetes Mellitus: a Systematic Review and Meta-Analysis

Journal of Asian Medical Students' Association ◽

10.52629/jamsa.v9i1.260 ◽

2021 ◽

Vol 9 (1) ◽

Author(s):

Ayers Gilberth Ivano Kalaij ◽

Nathaniel Gilbert Dyson ◽

Michael Sugiyanto

Keyword(s):

Diabetes Mellitus ◽

Systematic Review ◽

Gestational Diabetes ◽

Gestational Diabetes Mellitus ◽

Cohort Studies ◽

Hba1c Level ◽

Glycated Hemoglobin ◽

Meta Analysis ◽

Significant Risk ◽

First Trimester

Introduction: Gestational diabetes mellitus (GDM) is a severe yet neglected threat to maternal and child health, due to its association with multiple adverse pregnancy outcomes. glycated hemoglobin (HbA1c) level is one of the most promising predictor of GDM in early pregnancy based on several cohort studies done recently. Purpose of study: This systematic review and meta-analysis aims to evaluate the potency of HbA1c level in first trimester as a novel predictor of GDM. Methods: This review selects cohort studies found by database searching systematically using previously determined inclusion, such as pregnant woman as the subject, assess Hb1Ac level in the first trimester, and assess odds ratio towards (GDM), and exclusion criteria such as assess outcome at postpartum, not assess GDM outcomes, and studies written in languages other than English or Bahasa Indonesia. This review was arranged based on PRISMA guideline. Results and Discussion: This review included seven cohort studies with the pooled OR of 4.36 [95%CI: 3.66-5.20]. Quantitative analysis shows that HbA1c level in the first trimester is a significant risk factor of GDM development (p<0.00001). However, heterogeneity analyses revealed substantial heterogeneity are detected in the pooled studies. Therefore, to understand the significance of HbA1c level and the development of GDM, further studies are needed. Conclusion: This study has proven the potency of first trimester HbA1c level as a novel predictor of gestational diabetes mellitus. Thus, it is necessary to integrate the use of HbA1c level screening as part of antenatal care in the first trimester of pregnancy.

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