Evidence map›Paper›PMID 19143811›Full record

ArticleDiabetes, obesity & metabolism2009

Three microsatellites from the T1DGC MHC data set show highly significant association with type 1 diabetes, independent of the HLA-DRB1, -DQA1 and -DQB1 genes.

M C Eike, K Humphreys, T Becker, M Olsson, B A Lie, Type 1 Diabetes Genetics Consortium

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Diabetes, obesity & metabolism, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 89% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors at 5 institutions in 3 countries.

M C EikeInstitute of Immunology, Rikshospitalet University Hospital, Oslo, Norway. morten.eike@rr-research.no
K Humphreys
T Becker
M Olsson
B A Lie
Type 1 Diabetes Genetics Consortium
Chalmers University of Technology · SEInstitut für Medizinische Biometrie, Informatik und Epidemiologie · DEKarolinska Institutet · SEOslo University Hospital · NOUniversity of Oslo · NO

Funding

Type 1 Diabetes Genetics ConsortiumU01DK062418 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI RICH, STEPHEN S. · 2002 to 2007
$59.8M
NIDDK NIH HHS U01 DK062418
6 · The paper itself

Abstract

aimThe aim of this study was to test the microsatellites in the Type 1 Diabetes Genetics Consortium major histocompatibility complex (MHC) data set for association with type 1 diabetes (T1D) independent of the HLA-DRB1, -DQA1 and -DQB1 genes.

methodsThe data set was edited to contain only one affected child per family, and broad ethnic subgroups were defined. Genotypes for HLA-DRB1, -DQA1 and -DQB1 were replaced by a haplotype code spanning all three loci, with phase inferred based on common haplotypes. The final data set contained 8190 samples in 2301 families, 59 microsatellites and the DRB1-DQA1-DQB1 haplotype code. Statistical analyses consisted of conditional logistic regression and haplotype estimations and linkage disequilibrium calculations.

resultsThe data set was screened using a main effects test approach adjusted for DRB1-DQA1-DQB1, and significant results tested for validity. After these procedures, four markers remained significant at the Bonferroni-corrected threshold: D6S2773 (p = 0.00014), DG6S185 (p = 0.00015), DG6S398 (p = 0.00043) and D6S2998 (p = 0.00015). These results were supported by allelic tests conditioned on DRB1-DQA1-DQB1 haplotypes, except for DG6S185, which may contain artefacts.

conclusionsWe have identified three microsatellites that mark additional risk factors for T1D at highly significant levels in the MHC. Further analyses are needed to establish the relationship with other possible genetic determinants in this region.

Indexed as

Diabetes Mellitus, Type 1Genetic MarkersHaplotypesHLA-DQ alpha-ChainsHLA-DQ AntigensHLA-DQ beta-ChainsHLA-DR AntigensHLA-DRB1 ChainsHumansMicrosatellite RepeatsPedigreeRegression AnalysisWhite PeopleGenetic MarkersHLA-DQA1 antigenHLA-DQ alpha-ChainsHLA-DQ AntigensHLA-DQB1 antigenHLA-DQ beta-ChainsHLA-DR AntigensHLA-DRB1 Chains

Identifiers

PMID19143811
PMCPMC2760257
OpenAlexW1988647446

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.