Evidence map›Paper›PMID 27015091›Full record

ArticlePloS one2016

Identification of Non-HLA Genes Associated with Celiac Disease and Country-Specific Differences in a Large, International Pediatric Cohort.

Ashok Sharma, Xiang Liu, David Hadley, William Hagopian, Edwin Liu, Wei-Min Chen, Suna Onengut-Gumuscu, Ville Simell, Marian Rewers, Anette-G Ziegler and 9 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
5.8field-weighted citation impact, top 4% 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

38 citing papers in PubMed, 68 citations in OpenAlex.

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  20. Dissecting the contribution of single nucleotide polymorphisms inJournal of translational autoimmunity · 2021
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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

19 authors at 10 institutions in 5 countries.

Ashok SharmaCenter for Biotechnology and Genomic Medicine, Georgia Regents University, Augusta, GA, United States of America.
Xiang LiuPediatric Epidemiology Center, Department of Pediatrics, University of South Florida, Tampa, FL, United States of America.
David HadleyPediatric Epidemiology Center, Department of Pediatrics, University of South Florida, Tampa, FL, United States of America.
William HagopianPacific Northwest Diabetes Research Institute, Seattle, WA, United States of America.
Edwin LiuDigestive Health Institute, Children's Hospital Colorado, University of Colorado Denver, Aurora, CO, United States of America.
Wei-Min ChenCenter for Public Health Genomics, University of Virginia, Charlottesville, VA, United States of America.
Suna Onengut-GumuscuCenter for Public Health Genomics, University of Virginia, Charlottesville, VA, United States of America.
Ville SimellDepartment of Pediatrics, University of Turku, Turku, Finland.
Marian RewersBarbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, CO, United States of America.
Anette-G ZieglerInstitute of Diabetes Research, Helmholtz Zentrum München, and Klinikum rechts der Isar, Technische Universität München, and Forschergruppe Diabetes e.V., Munich-Neuherberg, Germany.
Åke LernmarkDepartment of Clinical Sciences, Lund University/CRC, Malmö, Sweden.
Olli SimellDepartment of Pediatrics, University of Turku, Turku, Finland.
Jorma ToppariDepartment of Pediatrics, University of Turku, Turku, Finland.
Jeffrey P KrischerPediatric Epidemiology Center, Department of Pediatrics, University of South Florida, Tampa, FL, United States of America.
Beena AkolkarNational Institutes of Diabetes and Digestive and Kidney Disorders, National Institutes of Health, Bethesda, MD, United States of America.
Stephen S RichCenter for Public Health Genomics, University of Virginia, Charlottesville, VA, United States of America.
Daniel AgardhDiabetes and Celiac Disease Unit, Lund University, Malmo, Sweden.
Jin-Xiong SheCenter for Biotechnology and Genomic Medicine, Georgia Regents University, Augusta, GA, United States of America.
TEDDY Study Group
University of Turku · FIUniversity of Virginia · USAugusta University · USLund University · SEUniversity of Colorado Denver · USUniversity of South Florida · USHelmholtz Zentrum München · DENational Institutes of Health · USPacific Northwest Diabetes Research Institute · USSt George's, University of London · GB

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
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
The Environmental Determinants of Diabetes in Youth: Washington Clinical CenterU01DK063829 · NIDDK · PACIFIC NORTHWEST RESEARCH INSTITUTE · PI HAGOPIAN, WILLIAM A. · 2003 to 2022
$11.8M
Type 1 Diabetes triggers: diet modification in neonatesU01DK063836 · NIDDK · FORSCHERGRUPPE DIABETES E. V. · PI ZIEGLER, ANETTE · 2003 to 2022
$6.2M
NIDDK NIH HHS DK63790NIDDK NIH HHS DK63821NIDDK NIH HHS DK 63829NIDDK NIH HHS DK63836NIDDK NIH HHS DK63861NIDDK NIH HHS DK63863NIDDK NIH HHS DK63865NIDDK NIH HHS HHSN267200700014CNIDDK NIH HHS U01 DK063829NIDDK NIH HHS UC4 DK063829NIDDK NIH HHS UC4 DK063863NIDDK 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

objectivesThere are significant geographical differences in the prevalence and incidence of celiac disease that cannot be explained by HLA alone. More than 40 loci outside of the HLA region have been associated with celiac disease. We investigated the roles of these non-HLA genes in the development of tissue transglutaminase autoantibodies (tTGA) and celiac disease in a large international prospective cohort study.

methodsA total of 424,788 newborns from the US and European general populations and first-degree relatives with type 1 diabetes were screened for specific HLA genotypes. Of these, 21,589 carried 1 of the 9 HLA genotypes associated with increased risk for type 1 diabetes and celiac disease; we followed 8676 of the children in a 15 y prospective follow-up study. Genotype analyses were performed on 6010 children using the Illumina ImmunoChip. Levels of tTGA were measured in serum samples using radio-ligand binding assays; diagnoses of celiac disease were made based on persistent detection of tTGA and biopsy analysis. Data were analyzed using Cox proportional hazards analyses.

resultsWe found 54 single-nucleotide polymorphisms (SNPs) in 5 genes associated with celiac disease (TAGAP, IL18R1, RGS21, PLEK, and CCR9) in time to celiac disease analyses (10-4>P>5.8x10-6). The hazard ratios (HR) for the SNPs with the smallest P values in each region were 1.59, 1.45, 2.23, 2.64, and 1.40, respectively. Outside of regions previously associated with celiac disease, we identified 10 SNPs in 8 regions that could also be associated with the disease (P<10-4). A SNP near PKIA (rs117128341, P = 6.5x10-8, HR = 2.8) and a SNP near PFKFB3 (rs117139146, P<2.8x10-7, HR = 4.9) reached the genome-wide association threshold in subjects from Sweden. Analyses of time to detection of tTGA identified 29 SNPs in 2 regions previously associated with celiac disease (CTLA4, P = 1.3x10-6, HR = 0.76 and LPP, P = 2.8x10-5, HR = .80) and 6 SNPs in 5 regions not previously associated with celiac disease (P<10-4); non-HLA genes are therefore involved in development of tTGA.

conclusionsIn conclusion, using a genetic analysis of a large international cohort of children, we associated celiac disease development with 5 non-HLA regions previously associated with the disease and 8 regions not previously associated with celiac disease. We identified 5 regions associated with development of tTGA. Two loci associated with celiac disease progression reached a genome-wide association threshold in subjects from Sweden.

Indexed as

Polymorphism, Single NucleotideAdolescentAutoantibodiesBiopsyCeliac DiseaseChildChild, PreschoolDiabetes Mellitus, Type 1Disease ProgressionEuropeFamily HealthFemaleFollow-Up StudiesGenotypeGTP-Binding ProteinsHeterozygoteAutoantibodiesGTP-Binding ProteinsHLA AntigensProtein Glutamine gamma Glutamyltransferase 2Transglutaminases

Identifiers

PMID27015091
PMCPMC4807782
OpenAlexW2308938254

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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.