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A Classification Algorithm for Diabetes Subtypes in a Swedish Cohort: Comparison With National Diabetes Register Diagnoses and Genetic Validation.

Created on 09 Oct 2026

Authors

Shobitha Vollmer, Alice Maguolo, Axel Lindström, Lucas Maurin, Manonanthini Thangam, Sonia García-Calzón, Emma Ahlqvist, Katarina Fagher, Charlotte Ling

Published in

Diabetes. Oct 09, 2026. Epub Oct 09, 2026.

Abstract

Diabetes subtype-specific research is challenging when using data from large registers, and validation studies of Swedish National Diabetes Register (NDR) diagnoses remain limited. We aimed to develop an algorithm to classify diabetes subtypes using linked longitudinal data, compare with NDR, and validate it using polygenic risk scores. We developed an algorithm that reliably distinguishes diabetes subtypes with higher granularity compared with NDR and is validated by polygenic risk scores. Our algorithm reveals clinically meaningful heterogeneity that may be overlooked in registers and enables subtype-specific diabetes research.

PMID:
42853097
Bibliographic data and abstract were imported from PubMed on 09 Oct 2026.

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