Evidence map›Paper›PMID 19136655›Full record

ArticleDiabetes2009

Genome-wide scan for linkage to type 1 diabetes in 2,496 multiplex families from the Type 1 Diabetes Genetics Consortium.

Patrick Concannon, Wei-Min Chen, Cécile Julier, Grant Morahan, Beena Akolkar, Henry A Erlich, Joan E Hilner, Jørn Nerup, Concepcion Nierras, Flemming Pociot and 3 more

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Diabetes, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
7.5field-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

55 citing papers in PubMed, 1 synthesis or guideline pooled it, 101 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Type 1 Diabetes Genetics Consortium.The Journal of clinical endocrinology and metabolism · 2025
    Review
  4. Review
  5. Article
  6. De novo germline mutation in the dual specificity phosphatase 10 gene accelerates autoimmune diabetes.Proceedings of the National Academy of Sciences of the United States of America · 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

13 authors at 8 institutions in 5 countries.

Patrick ConcannonDepartment of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, Virginia, USA. patcon@virginia.edu
Wei-Min Chen
Cécile Julier
Grant Morahan
Beena Akolkar
Henry A Erlich
Joan E Hilner
Jørn Nerup
Concepcion Nierras
Flemming Pociot
John A Todd
Stephen S Rich
Type 1 Diabetes Genetics Consortium
University of Virginia · USSteno Diabetes Centers · DKBreakthrough T1D · USInserm · FRNational Institutes of Health · USThe University of Western Australia · AUUniversity of Cambridge · GBWake Forest University · US

Funding

Type 1 Diabetes Genetics ConsortiumU01DK062418 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI RICH, STEPHEN S. · 2002 to 2007
$59.8M
SUSCEPTIBILITY GENES IN TYPE I DIABETESR01DK046635 · NIDDK · UNIVERSITY OF VIRGINIA · PI CONCANNON, PATRICK · 1993 to 2013
$5.4M
GENOTYPING FOR LOCATING HUMAN DISEASE GENESN01HG065403 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID L · 1996 to 2000
$1.7M
NHGRI NIH HHS N01 HG065403NIDDK NIH HHS DK46635NIDDK NIH HHS R01 DK046635NIDDK NIH HHS U01 DK062418Wellcome Trust 061858
6 · The paper itself

Abstract

objectiveType 1 diabetes arises from the actions of multiple genetic and environmental risk factors. Considerable success at identifying common genetic variants that contribute to type 1 diabetes risk has come from genetic association (primarily case-control) studies. However, such studies have limited power to detect genes containing multiple rare variants that contribute significantly to disease risk. RESEARCH DESIGN AND

methodsThe Type 1 Diabetes Genetics Consortium (T1DGC) has assembled a collection of 2,496 multiplex type 1 diabetic families from nine geographical regions containing 2,658 affected sib-pairs (ASPs). We describe the results of a genome-wide scan for linkage to type 1 diabetes in the T1DGC family collection.

resultsSignificant evidence of linkage to type 1 diabetes was confirmed at the HLA region on chromosome 6p21.3 (logarithm of odds [LOD] = 213.2). There was further evidence of linkage to type 1 diabetes on 6q that could not be accounted for by the major linkage signal at the HLA class II loci on chromosome 6p21. Suggestive evidence of linkage (LOD > or =2.2) was observed near CTLA4 on chromosome 2q32.3 (LOD = 3.28) and near INS (LOD = 3.16) on chromosome 11p15.5. Some evidence for linkage was also detected at two regions on chromosome 19 (LOD = 2.84 and 2.54).

conclusionsFive non-HLA chromosome regions showed some evidence of linkage to type 1 diabetes. A number of previously proposed type 1 diabetes susceptibility loci, based on smaller ASP numbers, showed limited or no evidence of linkage to disease. Low-frequency susceptibility variants or clusters of loci with common alleles could contribute to the linkage signals observed.

Indexed as

Chromosome MappingGenome, HumanChromosomes, HumanChromosomes, Human, Pair 17Chromosomes, Human, XDiabetes Mellitus, Type 1Genetic MarkersGenetic Predisposition to DiseaseGenetic VariationGenotypeHLA AntigensHumansLod ScoreRisk AssessmentGenetic MarkersHLA Antigens

Identifiers

PMID19136655
PMCPMC2661598
OpenAlexW2143071386

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.