| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5618811 | Molecular Metabolism | 2016 | 30 Pages |
Abstract
Overall, this study illustrates that metabolomics improves prediction of type 2 diabetes incidence of 4.5% on top of known clinical and biological markers, reaching 90% in total AROC, which is considered the threshold for clinical validity, suggesting it may be used in targeting interventions to prevent type 2 diabetes.
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Authors
Loic Yengo, Abdelilah Arredouani, Michel Marre, Ronan Roussel, Martine Vaxillaire, Mario Falchi, Abdelali Haoudi, Jean Tichet, The D.E.S.I.R Study Group The D.E.S.I.R Study Group, Beverley Balkau, Amélie Bonnefond, Philippe Froguel,