Leveraging Polygenic Scores to Predict Diabetes Risk After Gestational Diabetes: Insights from a 30-Year Cohort Study
Highlight
This cohort study demonstrates that polygenic scores (PGSs) for type 1 diabetes (T1D) effectively predict future type 1 diabetes in women with gestational diabetes mellitus (GDM). Combining T1D-PGS with clinical risk factors during pregnancy improves predictive accuracy. Conversely, the type 2 diabetes polygenic score (T2D-PGS) poorly predicts type 2 diabetes despite high clinical relevance of traditional risk factors.
Study Background
Sign in free to continue reading
Create or use your MedXY account to unlock the complete article.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.