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Electrochemiluminescence Assays for Human Islet Autoantibodies
Published on: March 23, 2018
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.
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.
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.
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