Evidence map›Paper›PMID 27602200›Full record

ArticleComputational and structural biotechnology journal2016

Disease, Models, Variants and Altered Pathways-Journeying RGD Through the Magnifying Glass.

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

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Victoria PetriHuman and Molecular Genetics Center, Medical College of Wisconsin, USA.
G Thomas HaymanHuman and Molecular Genetics Center, Medical College of Wisconsin, USA.
Marek TutajHuman and Molecular Genetics Center, Medical College of Wisconsin, USA.
Jennifer R SmithHuman and Molecular Genetics Center, Medical College of Wisconsin, USA.
Stan LaulederkindHuman and Molecular Genetics Center, Medical College of Wisconsin, USA.
Shur-Jen WangHuman and Molecular Genetics Center, Medical College of Wisconsin, USA.
Rajni NigamHuman and Molecular Genetics Center, Medical College of Wisconsin, USA.
Jeff De PonsHuman and Molecular Genetics Center, Medical College of Wisconsin, USA.
Mary ShimoyamaHuman and Molecular Genetics Center, Medical College of Wisconsin, USA.
Melinda R DwinellHuman and Molecular Genetics Center, Medical College of Wisconsin, 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

Understanding the pathogenesis of disease is instrumental in delineating its progression mechanisms and for envisioning ways to counteract it. In the process, animal models represent invaluable tools for identifying disease-related loci and their genetic components. Amongst them, the laboratory rat is used extensively in the study of many conditions and disorders. The Rat Genome Database (RGD-http://rgd.mcw.edu) has been established to house rat genetic, genomic and phenotypic data. Since its inception, it has continually expanded the depth and breadth of its content. Currently, in addition to rat genes, QTLs and strains, RGD houses mouse and human genes and QTLs and offers pertinent associated data, acquired through manual literature curation and imported via pipelines. A collection of controlled vocabularies and ontologies is employed for the standardized extraction and provision of biological data. The vocabularies/ontologies allow the capture of disease and phenotype associations of rat strains and QTLs, as well as disease and pathway associations of rat, human and mouse genes. A suite of tools enables the retrieval, manipulation, viewing and analysis of data. Genes associated with particular conditions or with altered networks underlying disease pathways can be retrieved. Genetic variants in humans or in sequenced rat strains can be searched and compared. Lists of rat strains and species-specific genes and QTLs can be generated for selected ontology terms and then analyzed, downloaded or sent to other tools. From many entry points, data can be accessed and results retrieved. To illustrate, diabetes is used as a case study to initiate and embark upon an exploratory journey.

Indexed as

Animal modelDiseasePathwayVariant

Identifiers

PMID27602200
PMCPMC4700298

What OpenQuestion 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 OpenQuestion graph.