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

2019 ◽  
Author(s):  
Morteza Gholami ◽  
Mahsa M. Amoli
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Genetic Variants ◽  
Meta Analysis ◽  
Individual Susceptibility

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

2021 ◽  
Vol 19 (2) ◽  
pp. 131-152
Author(s):  
Sharifah Nurdiyana Syed Mohd Bahktiar ◽  
◽  
Muhammad Hisyam Jamari ◽  
Nurul Aishah Wan Noor ◽  
Rabia’tul A’dawiyah Ariff Fadzilah ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
At Risk ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Genetic Variants ◽  
Data Extraction ◽  
Meta Analysis ◽  
Significant Risk ◽  
Asian Population ◽  
P Value

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.

Interpregnancy Weight Change and Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis

2019 ◽  
Author(s):  
Jose Alberto Martínez-Hortelano ◽  
Ivan Cavero Redondo ◽  
Celia Alvarez ◽  
Ana Díez-Fernández ◽  
Montserrat Hernández-Luengo ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Weight Change ◽  
Meta Analysis

scholarly journals A systematic review and meta-analysis of gestational diabetes mellitus and mental health among BAME populations

2021 ◽  
Vol 38 ◽  
pp. 101016
Author(s):  
Gayathri Delanerolle ◽  
Peter Phiri ◽  
Yutian Zeng ◽  
Kathleen Marston ◽  
Nicola Tempest ◽  
...  
Keyword(s):  
Mental Health ◽  
Diabetes Mellitus ◽  
Systematic Review ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Meta Analysis

scholarly journals Genetic variants associated with beta-cell function and insulin sensitivity potentially influence bile acid metabolites and gestational diabetes mellitus in a Chinese population

2021 ◽  
Vol 9 (1) ◽  
pp. e002287
Author(s):  
Qiulun Zhou ◽  
Ying Wang ◽  
Yuqin Gu ◽  
Jing Li ◽  
Hui Wang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Beta Cell ◽  
Genetic Variants ◽  
Cell Function ◽  
Chinese Women ◽  
Risk Scores ◽  
Nucleotide Polymorphisms ◽  
Mediation Analyses

IntroductionTo investigate associations between genetic variants related to beta-cell (BC) dysfunction or insulin resistance (IR) in type 2 diabetes (T2D) and bile acids (BAs), as well as the risk of gestational diabetes mellitus (GDM).Research design and methodsWe organized a case-control study of 230 women with GDM and 217 without GDM nested in a large prospective cohort of 22 302 Chinese women in Tianjin, China. Two weighted genetic risk scores (GRSs), namely BC-GRS and IR-GRS, were established by combining 39 and 23 single nucleotide polymorphisms known to be associated with BC dysfunction and IR, respectively. Regression and mediation analyses were performed to evaluate the relationship of GRSs with BAs and GDM.ResultsWe found that the BC-GRS was inversely associated with taurodeoxycholic acid (TDCA) after adjustment for confounders (Beta (SE)=−0.177 (0.048); p=2.66×10−4). The BC-GRS was also associated with the risk of GDM (OR (95% CI): 1.40 (1.10 to 1.77); p=0.005), but not mediated by TDCA. Compared with individuals in the low tertile of BC-GRS, the OR for GDM was 2.25 (95% CI 1.26 to 4.01) in the high tertile. An interaction effect of IR-GRS with taurochenodeoxycholic acid (TCDCA) on the risk of GDM was evidenced (p=0.005). Women with high IR-GRS and low concentration of TCDCA had a markedly higher OR of 14.39 (95% CI 1.59 to 130.16; p=0.018), compared with those with low IR-GRS and high TCDCA.ConclusionsGenetic variants related to BC dysfunction and IR in T2D potentially influence BAs at early pregnancy and the development of GDM. The identification of both modifiable and non-modifiable risk factors may facilitate the identification of high-risk individuals to prevent GDM.

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