Genetic Variants and Gestational Diabetes Risk in Southern China
Author Information
Author(s): Liang Qiulian, Sun Yan, Li Ming, Li Ruiqi, Nie Lijie, Lin Lin, Yu Xiangyuan
Primary Institution: Guilin Medical University
Hypothesis
This study aims to confirm the associations between candidate genetic variants and the risk of gestational diabetes mellitus (GDM) in a southern Chinese population.
Conclusion
The variant rs4134819 is significantly associated with increased susceptibility to GDM in the Chinese population, potentially by regulating gene transcription.
Supporting Evidence
- The study identified that the rs4134819 variant significantly increases GDM risk with an adjusted odds ratio of 1.38.
- The nomogram model showed good predictive performance with an AUC of 0.931.
- Functional analysis suggested that rs4134819 alters transcription factor binding, impacting gene regulation.
Takeaway
This study found that a specific gene variant can make some pregnant women more likely to develop diabetes during pregnancy, and a new model can help identify those at risk early.
Methodology
The study genotyped candidate variants in 538 GDM cases and 626 healthy controls, calculated odds ratios, and constructed a nomogram model for GDM prediction.
Potential Biases
Selection bias due to hospital-based participant recruitment.
Limitations
The study had a small sample size in the initial screening stage, potential selection bias, and the biological function of the genetic variant was not validated by molecular experiments.
Participant Demographics
Participants were aged 18-45 years, including 538 GDM cases and 626 healthy controls from the Guilin Medical University.
Statistical Information
P-Value
0.044
Confidence Interval
95% CI: 1.01–1.87
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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