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Achenbach, P.* ; Bonifacio, E.* ; Ziegler, A.-G.*

Predicting type 1 diabetes.

Curr. Diab. Rep. 5, 98-103 (2005)
PMC
Open Access Green as soon as Postprint is submitted to ZB.
Predicting type 1 diabetes mellitus (T1DM) is a prerequisite for disease prevention. Prediction is currently performed on three levels, which include the genetic susceptibility for disease, the identification of preclinical T1DM by way of circulating islet autoantibodies, and the use of metabolic tests to stage preclinical disease into late or early prediabetes. Combinations of genetic markers such as HLA genotype, INS genotype, and if and how much family history of T1DM is present can stratify disease risk more than 1000-fold, and can be used for selection of first-degree relatives of patients with T1DM for primary intervention trials. Measurement of autoantibodies in genetically at-risk subjects identifies future cases of T1DM. Further stratification of diabetes risk in autoantibody-positive subjects can be made on the basis of autoantibody characteristics that correspond to the magnitude of the autoantibody response.
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Publication type Article: Journal article
Document type Scientific Article
Language english
Publication Year 2005
HGF-reported in Year 0
ISSN (print) / ISBN 1534-4827
e-ISSN 1539-0829
Quellenangaben Volume: 5, Issue: 2, Pages: 98-103 Article Number: , Supplement: ,
Publisher Springer
Publishing Place Heidelberg [u.a.]
Reviewing status Peer reviewed
Institute(s) Institute of Diabetes Research (IDF)
Institute of Diabetes and Obesity (IDO)
Institute of Pancreatic Islet Research (IPI)
POF-Topic(s) 30201 - Metabolic Health
30502 - Diabetes: Pathophysiology, Prevention and Therapy
Research field(s) Helmholtz Diabetes Center
PSP Element(s) G-502100-001
G-502290-001
PubMed ID 15794911
Erfassungsdatum 2005-04-00