Understanding the potential contribution of polygenic risk scores to the prediction of gestational and type 2 diabetes in women from British Pakistani and Bangladeshi groups: a cohort study in Genes and Health
The integration of genetic assessment with traditional clinical factors significantly enhances risk prediction for BPB women at high risk of developing type 2 diabetes after GDM. These findings support the implementation of targeted interventions and personalized monitoring strategies in this high-risk population. Future research should focus on validating these predictive models in external cohorts and exploring their integration into clinical practice to improve health outcomes.
Authors
- David A. van Heel (ORCID: https://orcid.org/0000-0002-0637-2265)
- Julia Zöllner (ORCID: https://orcid.org/0000-0002-9072-9131)
- Sam Hodgson (ORCID: https://orcid.org/0000-0002-5610-850X)
- Binur Orazumbekova (ORCID: https://orcid.org/0000-0002-9640-3714)
Institutions
- Garvan Institute of Medical Research (AU)
- University of Bradford (GB)
- Queen Mary University of London (GB)
- King's College London (GB)
- University of Cambridge (GB)
- Action for ME (GB)
- Wellcome Sanger Institute (GB)
- Manchester University NHS Foundation Trust (GB)
- Bridge University (SS)
- McDermott International (United States) (US)
- Institute for Reproductive Health (US)
- Social Action (NG)
- NIHR Research Delivery Network (GB)
- Bradford Teaching Hospitals NHS Foundation Trust (GB)
- University College London (GB)
- Bradford College, England (GB)
Publication Details
- Journal
- AJOG Global Reports
- Published
- 2025-02-21
- DOI
- https://doi.org/10.1016/j.xagr.2025.100457
- Citations
- 3
- Primary Topic
- Gestational Diabetes Research and Management
- Type
- article
- Field-Weighted Citation Impact
- 6.17