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

Ezio Bonifacio1, Andreas Beyerlein2,3,4, Markus Hippich2,3,4

  • 1DFG-Center for Regenerative Therapies Dresden, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany.

Plos Medicine
|April 4, 2018
PubMed

Insights

A new type 1 diabetes genetic score identifies at-risk infants without a family history, predicting over 10% risk for pre-symptomatic type 1 diabetes. This score significantly improves risk prediction compared to HLA genotypes alone, aiding primary prevention trials.

Area of Science:

  • Endocrinology
  • Genetics
  • Immunology

Background:

  • Type 1 diabetes affects 0.3% of newborns, requiring early intervention for primary prevention in genetically susceptible infants.
  • Identifying at-risk infants is crucial for developing effective type 1 diabetes prevention strategies.

Purpose of the Study:

  • To evaluate the effectiveness of genetic scores in improving type 1 diabetes prediction among genetically at-risk infants.
  • To compare the predictive power of genetic scores against traditional high-risk HLA genotypes.

Main Methods:

  • The TEDDY study followed 4,543 genetically at-risk children from birth, monitoring for islet autoantibodies and type 1 diabetes.
  • Genetic scores were calculated from 41 single nucleotide polymorphisms in 3,498 children.
  • Risk prediction was assessed based on HLA genotypes and a merged genetic score.

Main Results:

  • A merged genetic score >14.4 identified children with an 11.0% risk of islet autoantibodies and 7.6% risk of type 1 diabetes by age 10.
  • This score provided a nearly 2-fold higher risk prediction than HLA genotypes alone.
  • The genetic score showed higher predictive value in European children and males.

Conclusions:

  • A type 1 diabetes genetic score effectively identifies infants at high risk for pre-symptomatic disease, even without a family history.
  • This improved risk stratification enhances the potential for enrolling children in type 1 diabetes primary prevention trials.
Abstract

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