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Targeted metabolomics for early pregnancy prediction of gestational diabetes mellitus

This study will apply a targeted metabolomics approach to the prediction of gestational diabetes from a single blood sample collected in the first trimester of pregnancy and stored for the Research Program on Genes, Environment and Health pregnancy cohort study, which recruited 24,000 pregnant participants during early pregnancy through delivery within Kaiser Permanente Northern California. This large racially and ethnically diverse pregnancy cohort, with stored biospecimens, and clinical data and perinatal health outcomes from electronic health records, provides an excellent opportunity to conduct a nested case-control study among women without prior diabetes to identify a metabolite profile predicting subsequent gestational diabetes diagnosis during mid-gestation. This study will involve a specialized targeted metabolomics approach that can reveal risk of gestational diabetes significantly sooner than conventional tests.

Investigator: Gunderson, Erica

Funder: University of Toronto

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