Evidence map›Paper›PMID 35296692›Full record

ArticleScientific reports2022

Telomere length is not a main factor for the development of islet autoimmunity and type 1 diabetes in the TEDDY study.

Carina Törn, Xiang Liu, Suna Onengut-Gumuscu, Kevin M Counts, Jose Leonardo Moreno, Cassandra L Remedios, Wei-Min Chen, Jonathon LeFaive, Martha D Butterworth, Beena Akolkar and 12 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 15 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

22 authors at 20 institutions in 5 countries.

Carina TörnUnit for Diabetes and Celiac Disease, Wallenberg/CRC, Department of Clinical Sciences, Lund University/CRC, Skåne University Hospital SUS, 21428, Malmö, Sweden. Carina.Torn@med.lu.se.
Xiang LiuHealth Informatics Institute, Morsani College of Medicine, University of South Florida, 3650 Spectrum Blvd #100, Tampa, FL, 33612, USA.
Suna Onengut-GumuscuCenter for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
Kevin M CountsHealth Informatics Institute, Morsani College of Medicine, University of South Florida, 3650 Spectrum Blvd #100, Tampa, FL, 33612, USA.
Jose Leonardo MorenoHealth Informatics Institute, Morsani College of Medicine, University of South Florida, 3650 Spectrum Blvd #100, Tampa, FL, 33612, USA.
Cassandra L RemediosHealth Informatics Institute, Morsani College of Medicine, University of South Florida, 3650 Spectrum Blvd #100, Tampa, FL, 33612, USA.
Wei-Min ChenCenter for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
Jonathon LeFaiveDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, USA.
Martha D ButterworthHealth Informatics Institute, Morsani College of Medicine, University of South Florida, 3650 Spectrum Blvd #100, Tampa, FL, 33612, USA.
Beena AkolkarNational Institutes of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, USA.
Jeffrey P KrischerHealth Informatics Institute, Morsani College of Medicine, University of South Florida, 3650 Spectrum Blvd #100, Tampa, FL, 33612, USA.
Åke LernmarkUnit for Diabetes and Celiac Disease, Wallenberg/CRC, Department of Clinical Sciences, Lund University/CRC, Skåne University Hospital SUS, 21428, Malmö, Sweden.
Marian RewersBarbara Davis Center for Childhood Diabetes, University of Colorado, Aurora, CO, USA.
Jin-Xiong SheCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, USA.
Jorma ToppariDepartment of Pediatrics, Turku University Hospital, Turku, Finland.
Anette-Gabriele ZieglerInstitute of Diabetes Research, Helmholtz Zentrum München, Munich, Germany.
Aakrosh RatanCenter for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
Albert V SmithDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, USA.
William A HagopianPacific Northwest Diabetes Research Institute, Seattle, WA, USA.
Stephen S RichCenter for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
Hemang M ParikhHealth Informatics Institute, Morsani College of Medicine, University of South Florida, 3650 Spectrum Blvd #100, Tampa, FL, 33612, USA. parikhhemangm@gmail.com.
TEDDY Study Group
University of South Florida · USLund University · SETampere University · FIPacific Northwest Diabetes Research Institute · USUniversity of Colorado Anschutz Medical Campus · USTUM Klinikum · DEUniversity of Turku · FIAugusta University · USOulu University Hospital · FIUniversity of Bristol · GBUniversity of Virginia · USUniversity of Florida · USChildren's Hospital of Pittsburgh · USChildren's Mercy Hospital · USColumbia University Irving Medical Center · USFisher Bioservices (United States) · USFlorida State University · USTurku University Hospital · FIUniversity of Bonn · DEUniversity of Cambridge · GB

Funding

Limited Competition: Continued Follow-up of Subjects and Initiation of a Second Case-control Cohort in The Environmental Determinants of Diabetes in The Young Study (TEDDY)U01DK128847 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI JEFFREY P KRISCHER · 2021 to 2026
$79.2M
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
Follow-up on Subjects, Integrative Data Analysis and Measurement of Viral Antibodies in The Environmental Determinants of Diabetes in The Young Study (TEDDY)U01DK124166 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2020 to 2022
$31.1M
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
Breakthrough T1DNCATS NIH HHS UL1 TR000064NCATS NIH HHS UL1 TR001082NIDDK NIH HHS HHSN267200700014CNIDDK 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 DK124166NIDDK NIH HHS U01 DK128847NIDDK 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

The Environmental Determinants of Diabetes in the Young (TEDDY) study enrolled 8676 children, 3-4 months of age, born with HLA-susceptibility genotypes for islet autoimmunity (IA) and type 1 diabetes (T1D). Whole-genome sequencing (WGS) was performed in 1119 children in a nested case-control study design. Telomere length was estimated from WGS data using five tools: Computel, Telseq, Telomerecat, qMotif and Motif_counter. The estimated median telomere length was 5.10 kb (IQR 4.52-5.68 kb) using Computel. The age when the blood sample was drawn had a significant negative correlation with telomere length (P = 0.003). European children, particularly those from Finland (P = 0.041) and from Sweden (P = 0.001), had shorter telomeres than children from the U.S.A. Paternal age (P = 0.019) was positively associated with telomere length. First-degree relative status, presence of gestational diabetes in the mother, and maternal age did not have a significant impact on estimated telomere length. HLA-DR4/4 or HLA-DR4/X children had significantly longer telomeres compared to children with HLA-DR3/3 or HLA-DR3/9 haplogenotypes (P = 0.008). Estimated telomere length was not significantly different with respect to any IA (P = 0.377), IAA-first (P = 0.248), GADA-first (P = 0.248) or T1D (P = 0.861). These results suggest that telomere length has no major impact on the risk for IA, the first step to develop T1D. Nevertheless, telomere length was shorter in the T1D high prevalence populations, Finland and Sweden.

Indexed as

Diabetes Mellitus, Type 1Islets of LangerhansAutoantibodiesAutoimmunityCase-Control StudiesChildFemaleGenetic Predisposition to DiseaseGenotypeHumansTelomereAutoantibodies

Identifiers

PMID35296692
PMCPMC8927592
OpenAlexW4220817734

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