Evidence map›Paper›PMID 30287597›Full record

ArticleJournal of medical genetics2019

Progression from islet autoimmunity to clinical type 1 diabetes is influenced by genetic factors: results from the prospective TEDDY study.

Andreas Beyerlein, Ezio Bonifacio, Kendra Vehik, Markus Hippich, Christiane Winkler, Brigitte I Frohnert, Andrea K Steck, William A Hagopian, Jeffrey P Krischer, Åke Lernmark and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of medical genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 12% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

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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

17 authors at 10 institutions in 4 countries.

Andreas BeyerleinInstitute of Diabetes Research, Helmholtz Zentrum München, and Forschergruppe Diabetes, Technical University of Munich, at Klinikum rechts der Isar, Munich-Neuherberg, Germany.ORCID 0000-0001-6603-5036
Ezio BonifacioDFG Center for Regenerative Therapies Dresden, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany.
Kendra VehikHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA.
Markus HippichInstitute of Diabetes Research, Helmholtz Zentrum München, and Forschergruppe Diabetes, Technical University of Munich, at Klinikum rechts der Isar, Munich-Neuherberg, Germany.
Christiane WinklerInstitute of Diabetes Research, Helmholtz Zentrum München, and Forschergruppe Diabetes, Technical University of Munich, at Klinikum rechts der Isar, Munich-Neuherberg, Germany.
Brigitte I FrohnertBarbara Davis Center for Childhood Diabetes, University of Colorado, Aurora, Colorado, USA.
Andrea K SteckBarbara Davis Center for Childhood Diabetes, University of Colorado, Aurora, Colorado, USA.
William A HagopianPacific Northwest Diabetes Research Institute, Seattle, Washington, USA.
Jeffrey P KrischerHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA.
Åke LernmarkDepartment of Clinical Sciences, Lund University/CRC, Skåne University Hospital SUS, Malmo, Sweden.
Marian J RewersBarbara Davis Center for Childhood Diabetes, University of Colorado, Aurora, Colorado, USA.
Jin-Xiong SheCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, Georgia, USA.
Jorma ToppariInstitute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology, Turku University Hospital, Turku, Finland.
Beena AkolkarNational Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland, USA.
Stephen S RichCenter for Public Health Genomics, University of Virginia, Charlottesville, Virginia, USA.
Anette-G ZieglerInstitute of Diabetes Research, Helmholtz Zentrum München, and Forschergruppe Diabetes, Technical University of Munich, at Klinikum rechts der Isar, Munich-Neuherberg, Germany.
TEDDY Study Group
TUM Klinikum · DEUniversity of Colorado Anschutz Medical Campus · USUniversity of South Florida · USAugusta University · USHelmholtz Zentrum München · DELund University · SENational Institute of Diabetes and Digestive and Kidney Diseases · USPacific Northwest Diabetes Research Institute · USUniversity 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
PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI Edward L Melanson · 1995 to 2026
$32.6M
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
The TEDDY Study: Georgia/Florida Clinical CenterU01DK063865 · NIDDK · MEDICAL COLLEGE OF GEORGIA (MCG) · PI MCINDOE, RICHARD A. · 2003 to 2022
$12.3M
NCATS NIH HHS UL1 TR000064NCATS NIH HHS UL1 TR001082NIDDK NIH HHS HHSN267200700014CNIDDK NIH HHS P30 DK048520NIDDK 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

backgroundProgression time from islet autoimmunity to clinical type 1 diabetes is highly variable and the extent that genetic factors contribute is unknown.

methodsIn 341 islet autoantibody-positive children with the human leucocyte antigen (HLA) DR3/DR4-DQ8 or the HLA DR4-DQ8/DR4-DQ8 genotype from the prospective TEDDY (The Environmental Determinants of Diabetes in the Young) study, we investigated whether a genetic risk score that had previously been shown to predict islet autoimmunity is also associated with disease progression.

resultsIslet autoantibody-positive children with a genetic risk score in the lowest quartile had a slower progression from single to multiple autoantibodies (p=0.018), from single autoantibodies to diabetes (p=0.004), and by trend from multiple islet autoantibodies to diabetes (p=0.06). In a Cox proportional hazards analysis, faster progression was associated with an increased genetic risk score independently of HLA genotype (HR for progression from multiple autoantibodies to type 1 diabetes, 1.27, 95% CI 1.02 to 1.58 per unit increase), an earlier age of islet autoantibody development (HR, 0.68, 95% CI 0.58 to 0.81 per year increase in age) and female sex (HR, 1.94, 95% CI 1.28 to 2.93).

conclusionsGenetic risk scores may be used to identify islet autoantibody-positive children with high-risk HLA genotypes who have a slow rate of progression to subsequent stages of autoimmunity and type 1 diabetes.

Indexed as

AutoimmunityGenetic Predisposition to DiseaseAutoantibodiesChildChild, PreschoolDiabetes Mellitus, Type 1Disease ProgressionFemaleHumansInfantIslets of LangerhansMaleProspective StudiesRisk AssessmentRisk FactorsAutoantibodiesdiabetesdiagnostics testsepidemiologyimmunology (including allergy)

Identifiers

PMID30287597
PMCPMC6690814
OpenAlexW2895448611

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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.