Subphenotypes of adult‐onset diabetes: Data‐driven clustering in the population‐based <scp>KORA</scp> cohort

T2D subphenotyping based on its sample's own clinical characteristics leads to stable categorization and adequately reflects T2D heterogeneity.

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Publication Details

Journal
Diabetes Obesity and Metabolism
Published
2024-10-28
DOI
https://doi.org/10.1111/dom.16022
Citations
1
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.55

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Subphenotypes of adult‐onset diabetes: Data‐driven clustering in the population‐based KORA cohort

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Subphenotypes of adult‐onset diabetes: Data‐driven clustering in the population‐based KORA cohort

Susanne Rospleszcz, Barbara Thorand, Michael Roden, Wolfgang Köenig, Stefan Brandmaier, Qiuling Dong, Harald Grallert, Gidon J. Bönhof, Yue Xi, Christian Herder, Marie‐Theres Huemer, Christian Gieger, Annette Peters, Jiefei Niu, Melanie Waldenberger, W Rathmann, Markéta Fuchs
article en
1 citations

Abstract

T2D subphenotyping based on its sample's own clinical characteristics leads to stable categorization and adequately reflects T2D heterogeneity.

Diabetes Obesity and MetabolismVol. 27(1)
University of Freiburg (DE), Universität Ulm (DE), Munich School of Philosophy (DE), Helmholtz Zentrum München (DE), Düsseldorf University Hospital (DE), Zimmer Biomet (Germany) (DE), German Centre for Cardiovascular Research (DE), Deutsches Herzzentrum München (DE), Deutsches Diabetes-Zentrum e.V. (DE), German Center for Diabetes Research (DE), Heinrich Heine University Düsseldorf (DE), Technical University of Munich (DE), Ludwig-Maximilians-Universität München (DE)
Bundesministerium für Bildung und Forschung, China Scholarship Council
Good health and well-being
Openalex Percentile: Top 25%
Genetic Associations and Epidemiology
0.55
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