Leveraging Polygenic Scores to Predict Diabetes Risk After Gestational Diabetes: Insights from a 30-Year Cohort Study

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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

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