Evidence map›Paper›PMID 17169983›Full record

ArticleNucleic acids research2007

T1DBase: integration and presentation of complex data for type 1 diabetes research.

Erin M Hulbert, Luc J Smink, Ellen C Adlem, James E Allen, David B Burdick, Oliver S Burren, Victor M Cassen, Christopher C Cavnor, Geoffrey E Dolman, Daisy Flamez and 11 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
9.1field-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

39 citing papers in PubMed, 66 citations in OpenAlex.

  1. Risk variants disrupting enhancers of TProceedings of the National Academy of Sciences of the United States of America · 2019
    Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Fine mapping of type 1 diabetes regions Idd9.1 and Idd9.2 reveals genetic complexity.Mammalian genome : official journal of the International Mammalian Genome Society · 2013
    Article
  8. Article
  9. T-HOD: a literature-based candidate gene database for hypertension, obesity and diabetes.Database : the journal of biological databases and curation · 2013
    Article
  10. Article
  11. Article
  12. Evidence that Cd101 is an autoimmune diabetes gene in nonobese diabetic mice.Journal of immunology (Baltimore, Md. : 1950) · 2011
    Article
  13. Meet me halfway: when genomics meets structural bioinformatics.Journal of cardiovascular translational research · 2011
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Glucose-induced ERM protein activation and translocation regulates insulin secretion.American journal of physiology. Endocrinology and metabolism · 2010
    Article
  19. EuroDia: a beta-cell gene expression resource.Database : the journal of biological databases and curation · 2010
    Article
  20. Article
4 · The record

Corrections and comments

  • Erratum issued
    Cassen, Victor M [added]
5 · Who and what money

Authors and funding

21 authors at 5 institutions in 3 countries.

Erin M HulbertInstitute for Systems Biology, Seattle, WA, USA. EHulbert@systemsbiology.org
Luc J Smink
Ellen C Adlem
James E Allen
David B Burdick
Oliver S Burren
Victor M Cassen
Christopher C Cavnor
Geoffrey E Dolman
Daisy Flamez
Karen F Friery
Barry C Healy
Sarah A Killcoyne
Burak Kutlu
Helen Schuilenburg
Neil M Walker
Josyf Mychaleckyj
Decio L Eizirik
Linda S Wicker
John A Todd
Nathan Goodman
Juvenile Diabetes Research Foundation · CAJuvenile Diabetes Research Foundation · GBWellcome Trust · GBInstitute for Systems Biology · USWake Forest University · US

Funding

Wellcome Trust
6 · The paper itself

Abstract

T1DBase (http://T1DBase.org) [Smink et al. (2005) Nucleic Acids Res., 33, D544-D549; Burren et al. (2004) Hum. Genomics, 1, 98-109] is a public website and database that supports the type 1 diabetes (T1D) research community. T1DBase provides a consolidated T1D-oriented view of the complex data world that now confronts medical researchers and enables scientists to navigate from information they know to information that is new to them. Overview pages for genes and markers summarize information for these elements. The Gene Dossier summarizes information for a list of genes. GBrowse [Stein et al. (2002) Genome Res., 10, 1599-1610] displays genes and other features in their genomic context, and Cytoscape [Shannon et al. (2003) Genome Res., 13, 2498-2504] shows genes in the context of interacting proteins and genes. The Beta Cell Gene Atlas shows gene expression in beta cells, islets, and related cell types and lines, and the Tissue Expression Viewer shows expression across other tissues. The Microarray Viewer shows expression from more than 20 array experiments. The Beta Cell Gene Expression Bank contains manually curated gene and pathway annotations for genes expressed in beta cells. T1DMart is a query tool for markers and genotypes. PosterPages are 'home pages' about specific topics or datasets. The key challenge, now and in the future, is to provide powerful informatics capabilities to T1D scientists in a form they can use to enhance their research.

Indexed as

Databases, GeneticAnimalsDiabetes Mellitus, Type 1Gene Expression ProfilingHumansInternetMicePancreasPolymorphism, Single NucleotideRatsSystems IntegrationUser-Computer Interface

Identifiers

PMID17169983
PMCPMC1781218
OpenAlexW1976731043

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.