Clustering for a better prediction of type 2 diabetes mellitus

被引：14

作者：

Bonnefond, Amelie ^{[1
,2
,3
]}

Froguel, Philippe ^{[1
,2
,3
]}

机构：

[1] Inst Pasteur, European Genom Inst Diabet EGID, CNRS, Inserm,UMR1283,UMR8199, Lille, France

[2] Univ Lille, CHU Lille, Lille, France

[3] Imperial Coll London, Dept Metab, London, England

来源：

NATURE REVIEWS ENDOCRINOLOGY | 2021年 / 17卷 / 04期

基金：

欧洲研究理事会;

关键词：

D O I：

10.1038/s41574-021-00475-4

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

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.

引用

页码：193 / 194

页数：2

共 8 条

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