Gestational diabetes & diabetes in pregnancy
Genetic Susceptibility, Mendelian Randomization, and Nomogram Model Construction of Gestational Diabetes Mellitus
Authors' conclusion
Functional polymorphisms can change women's susceptibility to GDM and the predictive nomogram model based on genetic and environmental factors can effectively distinguish individuals with different GDM risks in early stages of pregnancy.
Study context
- Population
- Pregnant women with gestational diabetes mellitus (GDM) and healthy controls
- Participants
- 554 vs 641
- Comparison
- GDM cases vs healthy controls
- GDMn = 554
- Healthy controlsn = 641reference
- Outcome
- Genetic susceptibility to GDM (11 functional single nucleotide polymorphisms (SNPs))
Methodological detailscandidate SNP genotyping, multivariate Mendelian randomization, nomogram model
- Candidate SNP genotyping
- Multivariate Mendelian randomization
- Nomogram model
Main finding
As reported in the abstract
- rs1965211, rs3760675 and rs7814359 significantly associated with genetic susceptibility to GDM after adjusting for age and prepregnancy body mass index (pre-BMI)
Observational data: associations, not effects.
Further findings
rs3760675 as eQTL and XAB2 mRNA expression
- rs3760675 can be eQTL and increases XAB2 mRNA expression
- P = 0.047
Multivariate mendelian randomization (MVMR) causal effects of clinical variables on GDM
- BMI-ORMVMR
- 1.52
- HbA1c-ORMVMR
- 1.32
- FPG-ORMVMR
- 1.78
- Significance
- P < 0.05
Nomogram (pre-BMI, fasting plasma glucose (FPG), hemoglobin A1c (HbA1c), genotypes of rs1965211, rs3760675, rs7814359) for GDM prediction
- AUC
- 0.824
Original publication
Genetic Susceptibility, Mendelian Randomization, and Nomogram Model Construction of Gestational Diabetes Mellitus. J Clin Endocrinol Metab. Published 16 April 2024. doi:10.
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