Identification of type 1 diabetes risk phenotypes using an outcome-guided clustering analysis-Reference-Cited by-同舟云学术

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Identification of type 1 diabetes risk phenotypes using an outcome-guided clustering analysis

Published:2024-08-06 Issue: Volume: Page:
ISSN:0012-186X
Container-title:Diabetologia
language:en
Short-container-title:Diabetologia

Author:

You Lu^ORCID,Ferrat Lauric A.^ORCID,Oram Richard A.^ORCID,Parikh Hemang M.^ORCID,Steck Andrea K.^ORCID,Krischer Jeffrey^ORCID,Redondo Maria J.^ORCID,

Funder

Eunice Kennedy Shriver National Institute of Child Health and Human Development

National Institute of Allergy and Infectious Diseases

National Institute of Diabetes and Digestive and Kidney Diseases

JDRF

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00125-024-06246-w.pdf

Reference39 articles.

1. Atkinson MA, Eisenbarth GS, Michels AW (2014) Type 1 diabetes. Lancet 383(9911):69–82. https://doi.org/10.1016/S0140-6736(13)60591-7

2. Bluestone JA, Herold K, Eisenbarth G (2010) Genetics, pathogenesis and clinical interventions in type 1 diabetes. Nature 464(7293):1293–1300. https://doi.org/10.1038/nature08933

3. Redondo MJ, Hagopian WA, Oram R et al (2020) The clinical consequences of heterogeneity within and between different diabetes types. Diabetologia 63(10):2040–2048. https://doi.org/10.1007/s00125-020-05211-7

4. Ilonen J, Lempainen J, Veijola R (2019) The heterogeneous pathogenesis of type 1 diabetes mellitus. Nat Rev Endocrinol 15(11):635–650. https://doi.org/10.1038/s41574-019-0254-y

5. Krischer JP, Liu X, Vehik K et al (2019) Predicting islet cell autoimmunity and type 1 diabetes: an 8-year TEDDY study progress report. Diabetes Care 42(6):1051–1060. https://doi.org/10.2337/dc18-2282

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