Genetic scores to stratify risk of developing multiple islet autoantibodies and type 1 diabetes: A prospective study in children

Research output: Contribution to journalArticle

Abstract

Background: Around 0.3% of newborns will develop autoimmunity to pancreatic beta cells in childhood and subsequently develop type 1 diabetes before adulthood. Primary prevention of type 1 diabetes will require early intervention in genetically at-risk infants. The objective of this study was to determine to what extent genetic scores (two previous genetic scores and a merged genetic score) can improve the prediction of type 1 diabetes. Methods and findings: The Environmental Determinants of Diabetes in the Young (TEDDY) study followed genetically at-risk children at 3- to 6-monthly intervals from birth for the development of islet autoantibodies and type 1 diabetes. Infants were enrolled between 1 September 2004 and 28 February 2010 and monitored until 31 May 2016. The risk (positive predictive value) for developing multiple islet autoantibodies (pre-symptomatic type 1 diabetes) and type 1 diabetes was determined in 4,543 children who had no first-degree relatives with type 1 diabetes and either a heterozygous HLA DR3 and DR4-DQ8 risk genotype or a homozygous DR4-DQ8 genotype, and in 3,498 of these children in whom genetic scores were calculated from 41 single nucleotide polymorphisms. In the children with the HLA risk genotypes, risk for developing multiple islet autoantibodies was 5.8% (95% CI 5.0%–6.6%) by age 6 years, and risk for diabetes by age 10 years was 3.7% (95% CI 3.0%–4.4%). Risk for developing multiple islet autoantibodies was 11.0% (95% CI 8.7%–13.3%) in children with a merged genetic score of >14.4 (upper quartile; n = 907) compared to 4.1% (95% CI 3.3%–4.9%, P < 0.001) in children with a genetic score of ≤14.4 (n = 2,591). Risk for developing diabetes by age 10 years was 7.6% (95% CI 5.3%–9.9%) in children with a merged score of >14.4 compared with 2.7% (95% CI 1.9%–3.6%) in children with a score of ≤14.4 (P < 0.001). Of 173 children with multiple islet autoantibodies by age 6 years and 107 children with diabetes by age 10 years, 82 (sensitivity, 47.4%; 95% CI 40.1%–54.8%) and 52 (sensitivity, 48.6%, 95% CI 39.3%–60.0%), respectively, had a score >14.4. Scores were higher in European versus US children (P = 0.003). In children with a merged score of >14.4, risk for multiple islet autoantibodies was similar and consistently >10% in Europe and in the US; risk was greater in males than in females (P = 0.01). Limitations of the study include that the genetic scores were originally developed from case–control studies of clinical diabetes in individuals of mainly European decent. It is, therefore, possible that it may not be suitable to all populations. Conclusions: A type 1 diabetes genetic score identified infants without family history of type 1 diabetes who had a greater than 10% risk for pre-symptomatic type 1 diabetes, and a nearly 2-fold higher risk than children identified by high-risk HLA genotypes alone. This finding extends the possibilities for enrolling children into type 1 diabetes primary prevention trials.

Details

Authors
  • Ezio Bonifacio
  • Andreas Beyerlein
  • Markus Hippich
  • Christiane Winkler
  • Kendra Vehik
  • Michael N. Weedon
  • Michael Laimighofer
  • Andrew T. Hattersley
  • Jan Krumsiek
  • Brigitte I. Frohnert
  • Andrea K. Steck
  • William A. Hagopian
  • Jeffrey P. Krischer
  • Åke Lernmark
  • Marian J. Rewers
  • Jin Xiong She
  • Jorma Toppari
  • Beena Akolkar
  • Richard A. Oram
  • Stephen S. Rich
  • Anette G. Ziegler
  • TEDDY Study Group
Organisations
External organisations
  • Dresden University of Technology
  • Helmholtz Zentrum München
  • University of South Florida
  • University of Exeter
  • University of Colorado
  • Pacific Northwest Diabetes Research Institute
  • Skåne University Hospital
  • Turku University Hospital
  • University of Turku
  • National Institute of Diabetes and Digestive and Kidney Diseases
  • University of Alberta
  • University of Virginia
  • Technical University of Munich
  • Klinikum rechts der Isar
  • Augusta University
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Medical Genetics
  • Endocrinology and Diabetes
Original languageEnglish
Article numbere1002548
JournalPLoS Medicine
Volume15
Issue number4
Publication statusPublished - 2018 Apr 1
Publication categoryResearch
Peer-reviewedYes