Evidence map›Paper›PMID 25075402›Full record

ArticlePediatric diabetes2014

Improving prediction of type 1 diabetes by testing non-HLA genetic variants in addition to HLA markers.

Andrea K Steck, Fran Dong, Randall Wong, Alexandra Fouts, Edwin Liu, Jihane Romanos, Cisca Wijmenga, Jill M Norris, Marian J Rewers

Open access · greenAbstract read
In one paragraph

Article in Pediatric diabetes, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
2.8field-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

41 citing papers in PubMed, 64 citations in OpenAlex.

  1. Trial
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  5. Genetic Risk and Transition Through Preclinical Stages of Type 1 Diabetes.The Journal of clinical endocrinology and metabolism · 2026
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  12. Article
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  16. Article
  17. De-coding genetic risk variants in type 1 diabetes.Immunology and cell biology · 2021
    Review
  18. Article
  19. Article
  20. Review
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

9 authors at 5 institutions in 3 countries.

Andrea K SteckBarbara Davis Center for Childhood Diabetes, University of Colorado Denver (UCD), Aurora, CO, USA. andrea.steck@ucdenver.edu
Fran Dong
Randall Wong
Alexandra Fouts
Edwin Liu
Jihane Romanos
Cisca Wijmenga
Jill M Norris
Marian J Rewers
University of Colorado Denver · USChildren's Hospital Colorado · USColorado School of Public Health · USUniversity Medical Center Groningen · NLUniversity of Groningen · NL

Funding

Natural History of Pre-Diabetic Autoimmunity (DAISY)R01DK032493 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI REWERS, MARIAN J · 1986 to 2024
$9.3M
Natural History of Pre-diabetic Autoimmunity (DAISY)R37DK032493 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI REWERS, MARIAN J · 2001 to 2010
$8.0M
Multiple Autoantigens/Multiple Epitopes of Type 1DMR01DK032083 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI MICHELS, AARON W · 1986 to 2025
$6.9M
GENETIC AND ENVIRONMENTAL CAUSES OF CELIAC DISEASER01DK050979 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI REWERS, MARIAN J · 1995 to 2014
$4.0M
IMMUNE TOLERANCE NETWORK-266015416-266015416N01AI015416 · NIAID · REGENTS OF THE UNIVERSITY OF C · PI BLUESTONE, JEFFREY A · 2002 to 2006
–
NIAID NIH HHS N01 AI015416NIDDK NIH HHS DK050979NIDDK NIH HHS R01 DK032083NIDDK NIH HHS R01 DK032493NIDDK NIH HHS R01 DK050979NIDDK NIH HHS R01 DK32083NIDDK NIH HHS R37 DK032493NIDDK NIH HHS R37 DK32493
6 · The paper itself

Abstract

objectiveThe purpose of this study was to explore whether non-human leukocyte antigen (non-HLA) genetic markers can improve type 1 diabetes(T1D) prediction in a prospective cohort with high-risk HLA-DR,DQ genotypes.

methodsThe Diabetes Autoimmunity Study in the Young (DAISY) follows prospectively for the development of T1D and islet autoimmunity (IA)children at increased genetic risk. A total of 1709 non-Hispanic White DAISY participants have been genotyped for 27 non-HLA single nucleotide polymorphisms (SNPs) and one microsatellite.

resultsIn multivariate analyses adjusting for family history and HLA-DR3/4 genotype, PTPN22 (rs2476601) and two UBASH3A (rs11203203 and rs9976767) SNPs were associated with development of IA [hazard ratio(HR)=1.87, 1.55, and 1.54, respectively, all p ≤ 0.003], while GLIS3 and IL2RA showed borderline association with development of IA. INS,UBASH3A, and IFIH1 were significantly associated with progression from IA to diabetes (HR=1.65, 1.44, and 1.47, respectively, all p ≤ 0.04), while PTPN22 and IL27 showed borderline association with progression from IA to diabetes. In survival analysis, 45% of general population DAISY children with PTPN22 rs2476601 TT or HLA-DR3/4 and UBASH3A rs11203203 AA developed diabetes by age 15, compared with 3% of children with all other genotypes (p<0.0001). Addition of non-HLA markers to HLA-DR3/4,DQ8 did not improve diabetes prediction in first-degree relatives.

conclusionAddition of PTPN22 and UBASH3A SNPs to HLA-DR,DQ genotyping can improve T1D risk prediction.

Indexed as

Adaptor Proteins, Signal TransducingAdolescentAutoimmunityChildChild, PreschoolDiabetes Mellitus, Type 1Disease ProgressionGenetic Predisposition to DiseaseGenetic TestingHLA AntigensHLA-DQ AntigensHLA-DR AntigensHumansIslets of LangerhansPolymorphism, Single NucleotideProspective StudiesAdaptor Proteins, Signal TransducingHLA AntigensHLA-DQ AntigensHLA-DR AntigensProtein Tyrosine Phosphatase, Non-Receptor Type 22PTPN22 protein, humanUBASH3A protein, humanislet autoimmunitynon-HLA genetic markerspredictiontype 1 diabetes

Identifiers

PMID25075402
PMCPMC4116638
OpenAlexW2146225242

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.