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Type 1 diabetes risk analysis on dried blood spot samples from population-based newborns: design and feasibility of an unselected case-control study

Author:
  • Stefanie Eising
  • Jannet Svensson
  • Kristin Skogstrand
  • Anita Ramelius
  • Kristian Lynch
  • Paal Skytt Andersen
  • Åke Lernmark
  • David M. Hougaard
  • Flemming Pociot
  • Bent Norgaard-Pedersen
  • Jorn Nerup
Publishing year: 2007
Language: English
Pages: 507-517
Publication/Series: Paediatric and Perinatal Epidemiology
Volume: 21
Issue: 6
Document type: Journal article
Publisher: Wiley-Blackwell

Abstract english

Development of type 1 diabetes mellitus (T1D) may be triggered pre- or perinatally by multiple factors. Identifying new predisposing T1D markers or combinations of markers in a large, well-characterised case-control collection may be important for future T1D prevention. The present work describes the design and feasibility of a large and unselected case-control study, which will define and evaluate prediction criteria for T1D at the time of birth. Danish registries (Biological Specimen Bank for Neonatal Screening, and the National Discharge Registry) made it possible to identify and collect dried blood spots (DBS) from newborns who later developed T1D (cases) born 1981-2002. DBS samples from 2086 cases and two matching control subjects per case were analysed for genetic and immune factors that are associated with T1D: (a) candidate genes (HLA, INS and CTLA4), (b) cytokines and inflammatory markers, (c) islet auto-antibodies (GAD65A, IA-2A). The objective of the study was to define reliable prediction tools for T1D using samples available at the time of birth. In a unique approach, the study linked a large unselected and population-based sample resource to well-ascertained clinical databases and advanced technology. It combined genetic, immunological and demographic data to develop prediction algorithms. It also provided a resource for future studies in which new genetic markers can be included as they are identified.

Keywords

  • Endocrinology and Diabetes
  • genotyping of candidate genes
  • type 1 diabetes
  • dried blood spots
  • biomarkers
  • cord blood

Other

Published
  • Diabetes and Celiac Unit
  • ISSN: 0269-5022
E-mail: anita.ramelius [at] med.lu.se

Biomedical analyst

Diabetes and Celiac Unit

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91:10:018

Jan Waldenströms gata 35, Malmö

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Lund University Diabetes Centre, CRC, SUS Malmö, Entrance 72, House 91:12. SE-205 02 Malmö. Telephone: +46 40 39 10 00