Evidence map›Paper›PMID 27736745›Full record

ReviewDisease models & mechanisms2016

Exploring human disease using the Rat Genome Database.

Mary Shimoyama, Stanley J F Laulederkind, Jeff De Pons, Rajni Nigam, Jennifer R Smith, Marek Tutaj, Victoria Petri, G Thomas Hayman, Shur-Jen Wang, Omid Ghiasvand and 2 more

Abstract readReview
In one paragraph

Review in Disease models & mechanisms, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 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
  2. Rat Models of Hormone Receptor-Positive Breast Cancer.Journal of mammary gland biology and neoplasia · 2024
    Review
  3. Review
  4. Genetic and Immunohistochemistry Tools to Visualize Rat Macrophages In Situ.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  5. Article
  6. Article
  7. Review
  8. Reducing Senescent Cell Burden in Aging and Disease.Trends in molecular medicine · 2020
    Review
  9. 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. Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. A RATional choice for translational research?Disease models & mechanisms · 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

12 authors.

Mary ShimoyamaMedical College of Wisconsin, Department of Surgery, Milwaukee, WI 53226, USA shimoyama@mcw.edu.ORCID 0000-0003-1176-0796
Stanley J F LaulederkindMedical College of Wisconsin, Department of Surgery, Milwaukee, WI 53226, USA.
Jeff De PonsMedical College of Wisconsin, Department of Surgery, Milwaukee, WI 53226, USA.
Rajni NigamMedical College of Wisconsin, Department of Surgery, Milwaukee, WI 53226, USA.
Jennifer R SmithMedical College of Wisconsin, Department of Surgery, Milwaukee, WI 53226, USA.
Marek TutajMedical College of Wisconsin, Department of Surgery, Milwaukee, WI 53226, USA.
Victoria PetriMedical College of Wisconsin, Department of Surgery, Milwaukee, WI 53226, USA.
G Thomas HaymanMedical College of Wisconsin, Department of Surgery, Milwaukee, WI 53226, USA.
Shur-Jen WangMedical College of Wisconsin, Department of Surgery, Milwaukee, WI 53226, USA.
Omid GhiasvandMedical College of Wisconsin, Department of Surgery, Milwaukee, WI 53226, USA.
Jyothi ThotaMedical College of Wisconsin, Department of Surgery, Milwaukee, WI 53226, USA.
Melinda R DwinellMedical College of Wisconsin, Department of Physiology, Milwaukee, WI 53226, USA.

Funding

RAT GENOME DATABASER01HL064541 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI ANNE E. KWITEK · 1999 to 2026
$50.0M
NHLBI NIH HHS R01 HL064541
6 · The paper itself

Abstract

Rattus norvegicus, the laboratory rat, has been a crucial model for studies of the environmental and genetic factors associated with human diseases for over 150 years. It is the primary model organism for toxicology and pharmacology studies, and has features that make it the model of choice in many complex-disease studies. Since 1999, the Rat Genome Database (RGD; http://rgd.mcw.edu) has been the premier resource for genomic, genetic, phenotype and strain data for the laboratory rat. The primary role of RGD is to curate rat data and validate orthologous relationships with human and mouse genes, and make these data available for incorporation into other major databases such as NCBI, Ensembl and UniProt. RGD also provides official nomenclature for rat genes, quantitative trait loci, strains and genetic markers, as well as unique identifiers. The RGD team adds enormous value to these basic data elements through functional and disease annotations, the analysis and visual presentation of pathways, and the integration of phenotype measurement data for strains used as disease models. Because much of the rat research community focuses on understanding human diseases, RGD provides a number of datasets and software tools that allow users to easily explore and make disease-related connections among these datasets. RGD also provides comprehensive human and mouse data for comparative purposes, illustrating the value of the rat in translational research. This article introduces RGD and its suite of tools and datasets to researchers - within and beyond the rat community - who are particularly interested in leveraging rat-based insights to understand human diseases.

Indexed as

Databases, GeneticGenomeAnimalsData MiningDiseaseGene OntologyHumansMolecular Sequence AnnotationRatsData analysisDiseaseGenomicsOnline resourceRat Genome Database

Identifiers

PMID27736745
PMCPMC5087824

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.