Evidence map›Paper›PMID 26405072›Full record

ArticleDiabetes care2015

Summary of the Type 1 Diabetes Genetics Consortium Autoantibody Workshop.

Stephen S Rich, Patrick Concannon

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes care, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact, top 90% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Type 1 Diabetes Genetics Consortium.The Journal of clinical endocrinology and metabolism · 2025
    Review
  2. Review
  3. The missing heritability in type 1 diabetes.Diabetes, obesity & metabolism · 2022
    Review
  4. 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

2 authors at 2 institutions in 1 country.

Stephen S RichCenter for Public Health Genomics, University of Virginia, Charlottesville, VA ssr4n@virginia.edu.
Patrick ConcannonGenetics Institute and Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL.
University of Florida · USUniversity of Virginia · US

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

The Type 1 Diabetes Genetics Consortium (T1DGC) sponsored an Autoantibody Workshop, providing data from a large number of type 1 diabetes-affected sibling pair families with multiple autoantibodies assayed (both islet and nonislet targets) and extensive genetic and clinical information. Multiple groups analyzed the autoantibody data and various forms of genetic data. The groups presented their results at the T1DGC Autoantibody Workshop and compared results across genes and autoantibodies. The reports of the analyses of the autoantibody data with genetic information are contained as individual articles in this supplement. There were several consistent findings that emerged from the T1DGC Autoantibody Workshop. The human MHC (HLA genes) is the major contributor to variation in the presence of islet and nonislet autoantibodies in subjects with established type 1 diabetes. The contribution of non-MHC genes/variants to autoantibody prevalence is dependent on the set of single nucleotide polymorphisms tested, the autoantibody evaluated, and the inclusion criteria for sample selection. On the basis of these results, the HLA alleles DRB1*0101 and DRB1*0404 and the PTPN22 R620W variant are consistently associated with autoimmunity in the T1DGC Autoantibody Workshop data.

Indexed as

AllelesAutoantibodiesAutoimmunityDiabetes Mellitus, Type 1Genetic Association StudiesGenetic Predisposition to DiseaseHumansPolymorphism, Single NucleotideAutoantibodies

Identifiers

PMID26405072
PMCPMC4582908
OpenAlexW2261842553

What OpenQuestion holds

Textmetadata
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.