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

ABSTRACT:

Aims

A data-driven cluster analysis in a cohort of European individuals with type 2 diabetes (T2D) has previously identified four subgroups based on clinical characteristics. In the current study, we performed a comprehensive statistical assessment to (1) replicate the above-mentioned original clusters; (2) derive de novo T2D subphenotypes in the Kooperative Gesundheitsforschung in der Region Augsburg (KORA) cohort and (3) describe underlying genetic risk and diabetes complications.

Methods

We used data from n = 301 individuals with T2D from KORA FF4 study (Southern Germany). Original cluster replication was assessed forcing k = 4 clusters using three different hyperparameter combinations. De novo clusters were derived by open k-means analysis. Stability of de novo clusters

SUBMITTER: Dong Q 

PROVIDER: S-EPMC11618242 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature