Evidence map›Paper›PMID 20798335›Full record

ArticleDiabetes2010

HLA class I and genetic susceptibility to type 1 diabetes: results from the Type 1 Diabetes Genetics Consortium.

Janelle A Noble, Ana Maria Valdes, Michael D Varney, Joyce A Carlson, Priscilla Moonsamy, Anna Lisa Fear, Julie A Lane, Eva Lavant, Rebecca Rappner, Anthony Louey and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 131 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
131citing papers in PubMed, 1 pooled it
8.7field-weighted citation impact, top 2% 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

131 citing papers in PubMed, 1 synthesis or guideline pooled it, 255 citations in OpenAlex.

  1. Systematic Review of Polygenic Risk Scores for Type 1 and Type 2 Diabetes.International journal of molecular sciences · 2020
    Pooled it
  2. Trial
  3. Trial
  4. [Role of HLA genetic variants in autoimmune diseases].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Observational
  13. Immune checkpoint inhibitors and endocrinopathies in pediatric brain tumor patients.Journal of pediatric endocrinology & metabolism : JPEM · 2025
    Article
  14. Review
  15. Review
  16. HLA-CPediatric diabetes · 2025
    Article
  17. Article
  18. Article
  19. Review
  20. Advancing Animal Models of Human Type 1 Diabetes.Cold Spring Harbor perspectives in medicine · 2024
    Review

71 more citing papers are in PubMed but not listed here.

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

14 authors at 5 institutions in 4 countries.

Janelle A NobleChildren's Hospital Oakland Research Institute, Oakland, California, USA. jnoble@chori.org
Ana Maria Valdes
Michael D Varney
Joyce A Carlson
Priscilla Moonsamy
Anna Lisa Fear
Julie A Lane
Eva Lavant
Rebecca Rappner
Anthony Louey
Patrick Concannon
Josyf C Mychaleckyj
Henry A Erlich
Type 1 Diabetes Genetics Consortium
Malmö University · SEAustralian Red Cross Lifeblood · AUMaterials Systems (United States) · USUniversity of Virginia · USKing's College London · GB

Funding

Type 1 Diabetes Genetics ConsortiumU01DK062418 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI RICH, STEPHEN S. · 2002 to 2007
$59.8M
The genetic basis of type 1 diabetes autoimmunity in African AmericansR01DK061722 · NIDDK · CHILDREN'S HOSPITAL &RES CTR AT OAKLAND · PI NOBLE, JANELLE A · 2003 to 2013
$3.5M
NIDDK NIH HHS R01 DK061722NIDDK NIH HHS R01 DK61722NIDDK NIH HHS U01 DK062418
6 · The paper itself

Abstract

objectiveWe report here genotyping data and type 1 diabetes association analyses for HLA class I loci (A, B, and C) on 1,753 multiplex pedigrees from the Type 1 Diabetes Genetics Consortium (T1DGC), a large international collaborative study. RESEARCH DESIGN AND

methodsComplete eight-locus HLA genotyping data were generated. Expected patient class I (HLA-A, -B, and -C) allele frequencies were calculated, based on linkage disequilibrium (LD) patterns with observed HLA class II DRB1-DQA1-DQB1 haplotype frequencies. Expected frequencies were compared to observed allele frequencies in patients.

resultsSignificant type 1 diabetes associations were observed at all class I HLA loci. After accounting for LD with HLA class II, the most significantly type 1 diabetes-associated alleles were B*5701 (odds ratio 0.19; P = 4 × 10(-11)) and B*3906 (10.31; P = 4 × 10(-10)). Other significantly type 1 diabetes-associated alleles included A*2402, A*0201, B*1801, and C*0501 (predisposing) and A*1101, A*3201, A*6601, B*0702, B*4403, B*3502, C*1601, and C*0401 (protective). Some alleles, notably B*3906, appear to modulate the risk of all DRB1-DQA1-DQB1 haplotypes on which they reside, suggesting a class I effect that is independent of class II. Other class I type 1 diabetes associations appear to be specific to individual class II haplotypes. Some apparent associations (e.g., C*1601) could be attributed to strong LD to another class I susceptibility locus (B*4403).

conclusionsThese data indicate that HLA class I alleles, in addition to and independently from HLA class II alleles, are associated with type 1 diabetes.

Indexed as

Genetic Predisposition to DiseaseDiabetes Mellitus, Type 1ExonsFemaleGene FrequencyHistocompatibility Antigens Class IHLA-A AntigensHLA-B AntigensHLA-C AntigensHumansInsulin-Secreting CellsLinkage DisequilibriumMalePolymorphism, GeneticT-LymphocytesHistocompatibility Antigens Class IHLA-A AntigensHLA-B AntigensHLA-C Antigens

Identifiers

PMID20798335
PMCPMC2963558
OpenAlexW2110458118

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.