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Comment
. 2021 Apr;17(4):193-194.
doi: 10.1038/s41574-021-00475-4.

Clustering for a better prediction of type 2 diabetes mellitus

Amélie Bonnefond  1   2   3 , Philippe Froguel  4   5   6
Affiliations
Comment

Clustering for a better prediction of type 2 diabetes mellitus

Amélie Bonnefond et al. Nat Rev Endocrinol. 2021 Apr.
No abstract available

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References

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    1. Tabák, A. G. et al. Trajectories of glycaemia, insulin sensitivity, and insulin secretion before diagnosis of type 2 diabetes: an analysis from the Whitehall II study. Lancet 373, 2215–2221 (2009). - DOI
    1. Ahlqvist, E. et al. Novel subgroups of adult-onset diabetes and their association with outcomes: a data-driven cluster analysis of six variables. Lancet Diabetes Endocrinol. 6, 361–369 (2018). - DOI
    1. Udler, M. S. et al. Type 2 diabetes genetic loci informed by multi-trait associations point to disease mechanisms and subtypes: A soft clustering analysis. PLoS Med. 15, e1002654 (2018). - DOI

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