Your browser doesn't support javascript.
loading
Genetic scores to stratify risk of developing multiple islet autoantibodies and type 1 diabetes: A prospective study in children.
Bonifacio, Ezio; Beyerlein, Andreas; Hippich, Markus; Winkler, Christiane; Vehik, Kendra; Weedon, Michael N; Laimighofer, Michael; Hattersley, Andrew T; Krumsiek, Jan; Frohnert, Brigitte I; Steck, Andrea K; Hagopian, William A; Krischer, Jeffrey P; Lernmark, Åke; Rewers, Marian J; She, Jin-Xiong; Toppari, Jorma; Akolkar, Beena; Oram, Richard A; Rich, Stephen S; Ziegler, Anette-G.
Afiliação
  • Bonifacio E; DFG-Center for Regenerative Therapies Dresden, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany.
  • Beyerlein A; Institute of Diabetes Research, Helmholtz Zentrum München, Munich, Germany.
  • Hippich M; Forschergruppe Diabetes, Technical University of Munich, Klinikum Rechts der Isar, Munich, Germany.
  • Winkler C; Forschergruppe Diabetes e.V. at Helmholtz Zentrum München, Munich, Germany.
  • Vehik K; Institute of Diabetes Research, Helmholtz Zentrum München, Munich, Germany.
  • Weedon MN; Forschergruppe Diabetes, Technical University of Munich, Klinikum Rechts der Isar, Munich, Germany.
  • Laimighofer M; Forschergruppe Diabetes e.V. at Helmholtz Zentrum München, Munich, Germany.
  • Hattersley AT; Institute of Diabetes Research, Helmholtz Zentrum München, Munich, Germany.
  • Krumsiek J; Forschergruppe Diabetes, Technical University of Munich, Klinikum Rechts der Isar, Munich, Germany.
  • Frohnert BI; Forschergruppe Diabetes e.V. at Helmholtz Zentrum München, Munich, Germany.
  • Steck AK; Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, Florida, United States of America.
  • Hagopian WA; Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, United Kingdom.
  • Krischer JP; Institute of Computational Biology, Helmholtz Zentrum München, Munich, Germany.
  • Lernmark Å; Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, United Kingdom.
  • Rewers MJ; Institute of Computational Biology, Helmholtz Zentrum München, Munich, Germany.
  • She JX; Barbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, Colorado, United States of America.
  • Toppari J; Barbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, Colorado, United States of America.
  • Akolkar B; Pacific Northwest Diabetes Research Institute, Seattle, Washington, United States of America.
  • Oram RA; Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, Florida, United States of America.
  • Rich SS; Department of Clinical Sciences, Clinical Research Centre, Skåne University Hospital, Lund University, Malmo, Sweden.
  • Ziegler AG; Barbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, Colorado, United States of America.
PLoS Med ; 15(4): e1002548, 2018 04.
Article em En | MEDLINE | ID: mdl-29614081
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Autoanticorpos / Testes Genéticos / Ilhotas Pancreáticas / Diabetes Mellitus Tipo 1 Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Child, preschool / Female / Humans / Infant / Male / Newborn Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Autoanticorpos / Testes Genéticos / Ilhotas Pancreáticas / Diabetes Mellitus Tipo 1 Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Child, preschool / Female / Humans / Infant / Male / Newborn Idioma: En Ano de publicação: 2018 Tipo de documento: Article