Gestational diabetes & diabetes in pregnancy
Genome-Wide Polygenic Risk Score Predicts Incident Type 2 Diabetes in Women With History of Gestational Diabetes
Performance · Incident T2DResult — go to the resultOdds ratio 1.52 95% CI 1.05–2.21Authors' conclusion
In cohorts of GDM women with diverse ancestry, T2D PRS was significantly associated with future development of T2D. A significant but small improvement was observed in AUROC when T2D PRS was integrated into clinical risk models to predict incident T2D.
Study context
- Population
- Women with a history of gestational diabetes mellitus (GDM), 5 cohorts of 4 different ancestries
- Participants
- 1,895 women5 cohorts
- Comparison
- Genome-wide T2D polygenic risk score (PRS)
- Outcome
- Incident T2D
- Follow-up
- Range of 2 to 30 years
Methodological details5 independent cohorts, 4 ancestries
- 5 independent cohorts
- 4 ancestries
Performance
As reported in the abstract
2 to 30 years
Odds ratio
1.52
95% CI 1.05–2.21
P = 0.03
T2D PRS per 1-SD increase
OR 1.52 (95% CI 1.05–2.21); P = 0.03
Per 1-SD increase, as printed
- Developed T2D
- 363 (19.2%)
- T2D PRS higher in those who developed T2D
- P = 2.3 × 10-11
Further findings
T2D PRS in women who developed T2D vs those who did not
- T2D PRS higher in those who developed T2D
- P = 2.3 × 10-11
Diagnostic utility of adding PRS to a clinical risk model (age, family history of diabetes, systolic blood pressure, BMI)
- AUROC for T2D without vs with PRS
- 0.71 to 0.74
- Continuous net reclassification improvement (NRI) with PRS (intermediate improvement), 95% CI 0.15-0.49
- 0.32
- NRI P value
- P = 3.0 × 10-4
- Similar trend across study cohorts, with variation
Incident T2D among women with previous GDM · 2 to 30 years
- Developed T2D
- 363 (19.2%)
Original publication
Genome-Wide Polygenic Risk Score Predicts Incident Type 2 Diabetes in Women With History of Gestational Diabetes. Diabetes Care. Published 28 June 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →