Evidence map›Paper›PMID 29614081›Full record

ArticlePLoS medicine2018

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

Ezio Bonifacio, Andreas Beyerlein, Markus Hippich, Christiane Winkler, Kendra Vehik, Michael N Weedon, Michael Laimighofer, Andrew T Hattersley, Jan Krumsiek, Brigitte I Frohnert and 12 more

Open access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed, 3 pooled it
9.8field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

103 citing papers in PubMed, 3 syntheses or guidelines pooled it, 143 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Systematic Review of Polygenic Risk Scores for Type 1 and Type 2 Diabetes.International journal of molecular sciences · 2020
    Pooled it
  4. Trial
  5. Trial
  6. Observational
  7. Article
  8. Determinants of Infant Participation and Non-Participation in Primary Prevention Trials.Hormone and metabolic research = Hormon- und Stoffwechselforschung = Hormones et metabolisme · 2026
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Genetic Risk and Transition Through Preclinical Stages of Type 1 Diabetes.The Journal of clinical endocrinology and metabolism · 2026
    Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Review

43 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors at 13 institutions in 6 countries.

Ezio BonifacioDFG-Center for Regenerative Therapies Dresden, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany.ORCID 0000-0002-8704-4713
Andreas BeyerleinInstitute of Diabetes Research, Helmholtz Zentrum München, Munich, Germany.
Markus HippichInstitute of Diabetes Research, Helmholtz Zentrum München, Munich, Germany.ORCID 0000-0001-6253-2596
Christiane WinklerInstitute of Diabetes Research, Helmholtz Zentrum München, Munich, Germany.
Kendra VehikHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, Florida, United States of America.ORCID 0000-0001-6243-6772
Michael N WeedonInstitute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, United Kingdom.
Michael LaimighoferInstitute of Computational Biology, Helmholtz Zentrum München, Munich, Germany.ORCID 0000-0003-1708-0302
Andrew T HattersleyInstitute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, United Kingdom.
Jan KrumsiekInstitute of Computational Biology, Helmholtz Zentrum München, Munich, Germany.
Brigitte I FrohnertBarbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, Colorado, United States of America.ORCID 0000-0002-6636-4048
Andrea K SteckBarbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, Colorado, United States of America.
William A HagopianPacific Northwest Diabetes Research Institute, Seattle, Washington, United States of America.ORCID 0000-0003-2979-0475
Jeffrey P KrischerHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, Florida, United States of America.
Åke LernmarkDepartment of Clinical Sciences, Clinical Research Centre, Skåne University Hospital, Lund University, Malmo, Sweden.ORCID 0000-0003-1735-0499
Marian J RewersBarbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, Colorado, United States of America.
Jin-Xiong SheCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, Georgia, United States of America.
Jorma ToppariDepartment of Pediatrics, Turku University Hospital, Turku, Finland.
Beena AkolkarNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, United States of America.
Richard A OramInstitute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, United Kingdom.
Stephen S RichCenter for Public Health Genomics, University of Virginia, Charlottesville, Virginia, United States of America.
Anette-G ZieglerInstitute of Diabetes Research, Helmholtz Zentrum München, Munich, Germany.ORCID 0000-0002-6290-5548
TEDDY Study Group
TUM Klinikum · DEUniversity of Colorado Denver · USHelmholtz Zentrum München · DEUniversity of Exeter · GBUniversity of South Florida · USAugusta University · USLund University · SENational Institutes of Health · USPacific Northwest Diabetes Research Institute · USTechnische Universität Dresden · DEUniversity of Alberta · CAUniversity of Turku · FIUniversity of Virginia · US

Funding

Data Coordinating Center (DCC)for the Consortium for Identification of EnvironmenUC4DK095300 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2011 to 2011
$56.0M
Data Coordinating CenterU01DK063790 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2002 to 2006
$50.1M
Colorado Clinical and Translational Sciences InstituteUL1TR001082 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$48.0M
Vector and Transgenic Mouse CoreP30DK017047 · NIDDK · UNIVERSITY OF WASHINGTON · PI Sakeneh Zraika · 1986 to 2026
$41.4M
Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
NIDDK Follow-up on Subjects and Immunological Assessments in The Environmental Determinants of Diabetes In The Young Study (TEDDY) (UC4)UC4DK117483 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2017 to 2020
$30.4M
Establish a Data Coordinating Center (DCC) for the Consortium for Identification UC4DK100238 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2014 to 2014
$28.9M
The Study of Epigenetics and Infections in The Environmental Determinants of Diabetes in the Young (TEDDY)UC4DK112243 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2016 to 2016
$27.0M
Data Coordinating Center (DCC) for the Consortium for Identification of Environmental Determinants of Diabetes in the Young (TEDDY) StudyUC4DK106955 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2015 to 2015
$20.0M
The Environmental Determinants of Diabetes in Young (TEDDY0U01DK063863 · NIDDK · HOSPITAL DISTRICT OF SOUTHWEST FINLAND · PI TOPPARI, JORMA · 2003 to 2022
$13.5M
The Environmental Triggers of Diabetes (TEDDY) in SwedenU01DK063861 · NIDDK · UNIVERSITY OF WASHINGTON · PI LERNMARK, AKE · 2003 to 2022
$13.4M
THE TEDDY STUDY - COLORADO CLINICAL CENTERU01DK063821 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI REWERS, MARIAN J · 2003 to 2022
$12.3M
Medical Research Council MC_PC_15047NCATS NIH HHS UL1 TR000064NCATS NIH HHS UL1 TR001082NCATS NIH HHS UL1 TR001427NIDDK NIH HHS HHSN267200700014CNIDDK NIH HHS P30 DK017047NIDDK NIH HHS U01 DK063790NIDDK NIH HHS U01 DK063821NIDDK NIH HHS U01 DK063829NIDDK NIH HHS U01 DK063836NIDDK NIH HHS U01 DK063861NIDDK NIH HHS U01 DK063863NIDDK NIH HHS U01 DK063865NIDDK NIH HHS UC4 DK063821NIDDK NIH HHS UC4 DK063829NIDDK NIH HHS UC4 DK063836NIDDK NIH HHS UC4 DK063861NIDDK NIH HHS UC4 DK063863NIDDK NIH HHS UC4 DK063865NIDDK NIH HHS UC4 DK095300NIDDK NIH HHS UC4 DK100238NIDDK NIH HHS UC4 DK106955NIDDK NIH HHS UC4 DK112243NIDDK NIH HHS UC4 DK117483
6 · The paper itself

Abstract

backgroundAround 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

findingsThe 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.

conclusionsA 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.

Indexed as

Genetic TestingAutoantibodiesCase-Control StudiesChildChild, PreschoolDiabetes Mellitus, Type 1FamilyFemaleGenetic Predisposition to DiseaseHumansInfantInfant, NewbornIslets of LangerhansMaleRisk AssessmentRisk FactorsAutoantibodies

Identifiers

PMID29614081
PMCPMC5882115
OpenAlexW2795575996

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.