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Clustering for a better prediction of type 2 diabetes mellitus

Nature Reviews Endocrinology volume 17, pages 193–194 (2021)Cite this article

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Complex phenotypic and genetic clustering of individuals who are potentially at increased risk of type 2 diabetes mellitus (T2DM) can enable the identification of individuals who are likely to develop T2DM and vascular complications. Precision medicine for prediabetes should improve prevention programmes and reduce mortality.

Refers to Wagner, R. et al. Pathophysiology-based subphenotyping of individuals at elevated risk for type 2 diabetes. Nat. Med. https://doi.org/10.1038/s41591-020-1116-9 (2021).

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Acknowledgements

A.B. and P.F. are supported by grants from the French National Research Agency (ANR-10-LABX-46 (European Genomics Institute for Diabetes) and ANR-10-EQPX-07-01 (LIGAN-PM)); from the European Research Council (ERC GEPIDIAB – 294785, to PF; ERC Reg-Seq – 715575, to A.B.); and from the National Center for Precision Diabetic Medicine — PreciDIAB, which is jointly supported by the French National Agency for Research (ANR-18-IBHU-0001), by the European Union (FEDER), by the Hauts-de-France Regional Council and by the European Metropolis of Lille (MEL).

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Authors and Affiliations

  1. Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille, France

    Amélie Bonnefond & Philippe Froguel

  2. Université de Lille, CHU de Lille, Lille, France

    Amélie Bonnefond & Philippe Froguel

  3. Department of Metabolism, Imperial College London, London, UK

    Amélie Bonnefond & Philippe Froguel

Authors
  1. Amélie Bonnefond
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  2. Philippe Froguel
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Correspondence to Amélie Bonnefond or Philippe Froguel.

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Bonnefond, A., Froguel, P. Clustering for a better prediction of type 2 diabetes mellitus. Nat Rev Endocrinol 17, 193–194 (2021). https://doi.org/10.1038/s41574-021-00475-4

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  • DOI: https://doi.org/10.1038/s41574-021-00475-4

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