Causal inference and risk prediction of gestational diabetes mellitus based on case–control study and Mendel randomization
Pre-BMI and FPG were determined to be causal factors linked to GDM. The prediction model constructed using key clinical and genetic variables (such as rs6127416-preBMI-FPG) holds promising utility for personalized risk assessment of GDM in the initial trimester of pregnancy, with potential to support early identification of high-risk women and facilitate timely lifestyle or clinical interventions during antenatal care.
Authors
- Qiulian Liang
- Jian Hua Huang (ORCID: https://orcid.org/0000-0003-3282-8892)
- Ruiqi Li (ORCID: https://orcid.org/0000-0001-9428-6094)
- Xiangyuan Yu (ORCID: https://orcid.org/0000-0002-7675-4103)
- Yan Sun (ORCID: https://orcid.org/0000-0002-5080-0781)
- Lijie Nie (ORCID: https://orcid.org/0009-0007-5047-5628)
- Xinyu He (ORCID: https://orcid.org/0009-0009-0470-7998)
Institutions
- Guilin Medical University (CN)
Publication Details
- Journal
- Frontiers in Nutrition
- Published
- 2025-11-03
- DOI
- https://doi.org/10.3389/fnut.2025.1665813
- Primary Topic
- Gestational Diabetes Research and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Guangxi Province
- Guilin Medical University