Evidence map›Paper›PMID 27009807›Full record

ArticleDatabase : the journal of biological databases and curation2016

The Disease Portals, disease-gene annotation and the RGD disease ontology at the Rat Genome Database.

G Thomas Hayman, Stanley J F Laulederkind, Jennifer R Smith, Shur-Jen Wang, Victoria Petri, Rajni Nigam, Marek Tutaj, Jeff De Pons, Melinda R Dwinell, Mary Shimoyama

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

  1. Mapping of EFO terms from the GWAS catalog data to multiple ontologies at the Rat Genome Database.Database : the journal of biological databases and curation · 2026
    Article
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  9. Rat Models of Metabolic Syndrome.Methods in molecular biology (Clifton, N.J.) · 2019
    Article
  10. Integrated curation and data mining for disease and phenotype models at the Rat Genome Database.Database : the journal of biological databases and curation · 2019
    Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. The Chinchilla Research Resource Database: resource for an otolaryngology disease model.Database : the journal of biological databases and curation · 2016
    Article
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

10 authors.

G Thomas HaymanMedical College of Wisconsin, Human and Molecular Genetics Center Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA gthayman@mcw.edu.
Stanley J F LaulederkindMedical College of Wisconsin, Human and Molecular Genetics Center Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA.
Jennifer R SmithMedical College of Wisconsin, Human and Molecular Genetics Center Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA.
Shur-Jen WangMedical College of Wisconsin, Human and Molecular Genetics Center Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA.
Victoria PetriMedical College of Wisconsin, Human and Molecular Genetics Center Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA.
Rajni NigamMedical College of Wisconsin, Human and Molecular Genetics Center Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA.
Marek TutajMedical College of Wisconsin, Human and Molecular Genetics Center Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA.
Jeff De PonsMedical College of Wisconsin, Human and Molecular Genetics Center Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA.
Melinda R DwinellMedical College of Wisconsin, Human and Molecular Genetics Center Department of Physiology, Medical College of Wisconsin.
Mary ShimoyamaMedical College of Wisconsin, Human and Molecular Genetics Center Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA.

Funding

RAT GENOME DATABASER01HL064541 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI ANNE E. KWITEK · 1999 to 2026
$50.0M
Integration of phenotype data from multiple centers using ontologiesR01HL094271 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI DWINELL, MELINDA R · 2010 to 2012
$1.1M
NHLBI NIH HHS HL064541NHLBI NIH HHS HL094271NHLBI NIH HHS HL64541NHLBI NIH HHS R01 HL064541
6 · The paper itself

Abstract

The Rat Genome Database (RGD;http://rgd.mcw.edu/) provides critical datasets and software tools to a diverse community of rat and non-rat researchers worldwide. To meet the needs of the many users whose research is disease oriented, RGD has created a series of Disease Portals and has prioritized its curation efforts on the datasets important to understanding the mechanisms of various diseases. Gene-disease relationships for three species, rat, human and mouse, are annotated to capture biomarkers, genetic associations, molecular mechanisms and therapeutic targets. To generate gene-disease annotations more effectively and in greater detail, RGD initially adopted the MEDIC disease vocabulary from the Comparative Toxicogenomics Database and adapted it for use by expanding this framework with the addition of over 1000 terms to create the RGD Disease Ontology (RDO). The RDO provides the foundation for, at present, 10 comprehensive disease area-related dataset and analysis platforms at RGD, the Disease Portals. Two major disease areas are the focus of data acquisition and curation efforts each year, leading to the release of the related Disease Portals. Collaborative efforts to realize a more robust disease ontology are underway. Database URL:http://rgd.mcw.edu.

Indexed as

Databases, GeneticGene OntologyGenomeMolecular Sequence AnnotationAnimalsDiseaseGenetic Predisposition to DiseaseHumansMiceRatsSoftwareSpecies Specificity

Identifiers

PMID27009807
PMCPMC4805243

What OpenQuestion holds

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LicenceCC BY
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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.