Evidence map›Paper›PMID 26010309›Full record

ArticleThe American journal of gastroenterology2015

HLA-DPB1*04:01 Protects Genetically Susceptible Children from Celiac Disease Autoimmunity in the TEDDY Study.

David Hadley, William Hagopian, Edwin Liu, Jin-Xiong She, Olli Simell, Beena Akolkar, Anette-G Ziegler, Marian Rewers, Jeffrey P Krischer, Wei-Min Chen and 6 more

Open access · greenAbstract read
In one paragraph

Article in The American journal of gastroenterology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

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  14. Brain sciences · 2020
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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

16 authors at 10 institutions in 5 countries.

David Hadley1] Division of Population Health Sciences and Education, St. George's, University of London, London, UK [2] TransMed Systems, Pleasanton, California, USA.
William HagopianPacific Northwest Diabetes Research Institute, Seattle, Washington, USA.
Edwin Liu1] Digestive Health Institute, Children's Hospital Colorado, Aurora, Colorado, USA [2] Barbara Davis Center, University of Colorado Denver, Aurora, Colorado, USA.
Jin-Xiong SheCenter for Biotechnology and Genomic Medicine, Georgia Regents University, Augusta, Georgia, USA.
Olli SimellDepartment of Pediatrics, University of Turku, Turku, Finland.
Beena AkolkarDDEMD, NIDDK, Bethesda, Maryland, USA.
Anette-G Ziegler1] Institute of Diabetes Research, Helmholtz Zentrum Mìnchen, Oberschleissheim, Germany [2] Klinikum rechts der Isar, Technische Universitaet Muenchen, Munich, Germany [3] Forschergruppe Diabetes e.V., Neuherberg, Germany.
Marian RewersDigestive Health Institute, Children's Hospital Colorado, Aurora, Colorado, USA.
Jeffrey P KrischerPediatric Epidemiology Center, University of South Florida, Tampa, Florida, USA.
Wei-Min ChenCenter for Public Health Genomics, University of Virginia, Charlottesville, Virginia, USA.
Suna Onengut-GumuscuCenter for Public Health Genomics, University of Virginia, Charlottesville, Virginia, USA.
Teodorica L BugawanDepartment of Human Genetics, Roche Molecular Systems, Alameda, California, USA.
Stephen S RichCenter for Public Health Genomics, University of Virginia, Charlottesville, Virginia, USA.
Henry ErlichChildren's Hospital of Oakland Research Institute, Oakland, California, USA.
Daniel Agardh1] Pediatric Epidemiology Center, University of South Florida, Tampa, Florida, USA [2] Department of Clinical Sciences, Lund University, Malmo, Sweden.
TEDDY Study Group
University of Virginia · USChildren's Hospital Colorado · USAugusta University · USGeneTrace Systems (United States) · USLund University · SEPacific Northwest Diabetes Research Institute · USSt George's, University of London · GBTUM Klinikum · DEUniversity of South Florida · USUniversity of Turku · FI

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 Julie Mathieu · 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
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 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
UF Clinical and Translational Science AwardUL1TR000064 · NCATS · UNIVERSITY OF FLORIDA · PI NELSON, DAVID R · 2012 to 2014
$12.2M
The Environmental Determinants of Diabetes in Youth: Washington Clinical CenterU01DK063829 · NIDDK · PACIFIC NORTHWEST RESEARCH INSTITUTE · PI HAGOPIAN, WILLIAM A. · 2003 to 2022
$11.8M
NCATS 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 U01 DK63790NIDDK NIH HHS U01 DK63821NIDDK NIH HHS U01 DK63829NIDDK NIH HHS U01 DK63836NIDDK NIH HHS U01 DK63861NIDDK NIH HHS U01 DK63863NIDDK NIH HHS U01 DK63865NIDDK 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 DK63821NIDDK NIH HHS UC4 DK63829NIDDK NIH HHS UC4 DK63836NIDDK NIH HHS UC4 DK63861NIDDK NIH HHS UC4 DK63863NIDDK NIH HHS UC4 DK63865NIDDK NIH HHS UC4 DK95300
6 · The paper itself

Abstract

objectivesTissue transglutaminase autoantibodies (tTGAs) represent the first evidence of celiac disease (CD) development. Associations of HLA-DR3-DQA1*05:01-DQB1*02:01 (i.e., DR3-DQ2) and, to a lesser extent, DR4-DQA1*03:01-DQB1*03:02 (i.e., DR4-DQ8) with the risk of CD differ by country, consistent with additional genetic heterogeneity that further refines risk. Therefore, we examined human leukocyte antigen (HLA) factors other than DR3-DQ2 for their contribution to developing tTGAs.

methodsThe Environmental Determinants of Diabetes in the Young (TEDDY) study enrolled 8,676 infants at an increased HLA-DR-DQ risk for type 1 diabetes and CD into a 15-year prospective surveillance follow-up. Of those followed up, 21% (n=1,813) carried DR3-DQ2/DR3-DQ2, 39% (n=3,359) carried DR3-DQ2/DR4-DQ8, 20% (n=1701) carried DR4-DQ8/DR4-DQ8, and 17% (n=1,493) carried DR4-DQ8/DQ4. Within TEDDY, a nested case-control design of 248 children with CD autoimmunity (CDA) and 248 matched control children were genotyped for HLA-B, -DRB3, -DRB4, -DPA1, and -DPB1 genes, and the entire cohort was genotyped for single-nucleotide polymorphisms (SNPs) using the Illumina ImmunoChip. CDA was defined as a positive tTGA test at two consecutive clinic visits, whereas matching in those with no evidence of tTGAs was based on the presence of HLA-DQ2, country, and sex.

resultsAfter adjustment for DR3-DQ2 and restriction to allele frequency (AF) ≥5%, HLA-DPB1*04:01 was inversely associated with CDA by conditional logistic regression (AF=44%, odds ratio=0.71, 95% confidence interval (CI)=0.53-0.96, P=0.025). This association of time to CDA and HLA-DPB1*04:01 was replicated with statistical significance in the remainder of the cohort using imputation for specific HLA alleles based on SNP genotyping (hazard ratio=0.84, 95% CI=0.73-0.96, P=0.013).

conclusionsHLA-DPB1*04:01 may reduce the risk of tTGAs, an early marker of CD, among DR3-DQ2 children, confirming that additional variants in the HLA region influence the risk for CDA.

Indexed as

AutoantibodiesAutoimmune DiseasesCeliac DiseaseChildChild, PreschoolCohort StudiesFemaleGene FrequencyGenetic Predisposition to DiseaseGTP-Binding ProteinsHLA-DP beta-ChainsHLA-DQ AntigensHLA-DR3 AntigenHumansInfantInfant, NewbornAutoantibodiesGTP-Binding ProteinsHLA-DPB1*04:01 antigenHLA-DP beta-ChainsHLA-DQ2 antigenHLA-DQ AntigensHLA-DR3 AntigenProtein Glutamine gamma Glutamyltransferase 2Transglutaminases

Identifiers

PMID26010309
PMCPMC4487515
OpenAlexW1740864292

What OpenQuestion holds

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LicenceTDM
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Registered trials

None linked

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.