Evidence map›Paper›PMID 20507906›Full record

ArticleNucleic acids research2010

PhenoHM: human-mouse comparative phenome-genome server.

Divya Sardana, Suresh Vasa, Nishanth Vepachedu, Jing Chen, Ranga Chandra Gudivada, Bruce J Aronow, Anil G Jegga

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2010. 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
1.9field-weighted citation impact, top 15% 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

17 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Integrating phenotype ontologies with PhenomeNET.Journal of biomedical semantics · 2017
    Article
  5. Article
  6. PhenoDigm: analyzing curated annotations to associate animal models with human diseases.Database : the journal of biological databases and curation · 2013
    Article
  7. Review
  8. Article
  9. The Mammalian Phenotype Ontology as a unifying standard for experimental and high-throughput phenotyping data.Mammalian genome : official journal of the International Mammalian Genome Society · 2012
    Article
  10. Computational tools for comparative phenomics: the role and promise of ontologies.Mammalian genome : official journal of the International Mammalian Genome Society · 2012
    Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. 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

7 authors at 2 institutions in 2 countries.

Divya SardanaDepartment of Computer Science, University of Cincinnati, Cincinnati, OH, USA.
Suresh Vasa
Nishanth Vepachedu
Jing Chen
Ranga Chandra Gudivada
Bruce J Aronow
Anil G Jegga
Cincinnati Children's Hospital Medical Center · USUniversity of Cincinnati · US

Funding

Stem Cell/Organoid and Genome Editing CoreP30DK078392 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI Alexander Miethke · 2007 to 2026
$24.4M
Cincinnati Center for Clinical and Translational Sciences and TrainingUL1TR000077 · NCATS · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E. · 2012 to 2014
$9.9M
Murine Atlas of Genitourinary Smooth Muscle DevelopmentU01DK070219 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI LESSARD, JAMES LOUIS · 2005 to 2009
$4.3M
Global Gene Expression Atlas of Craniofacial Development (Research Project)U01DE020049 · NIDCR · CINCINNATI CHILDRENS HOSP MED CTR · PI POTTER, S. STEVEN · 2009 to 2013
$1.4M
NCATS NIH HHS UL1 TR000077NCRR NIH HHS U54 RR025216NIDCR NIH HHS U01DE020049NIDDK NIH HHS 1U01 DK70219NIDDK NIH HHS P30 DK078392
6 · The paper itself

Abstract

PhenoHM is a human-mouse comparative phenome-genome server that facilitates cross-species identification of genes associated with orthologous phenotypes (http://phenome.cchmc.org; full open access, login not required). Combining and extrapolating the knowledge about the roles of individual gene functions in the determination of phenotype across multiple organisms improves our understanding of gene function in normal and perturbed states and offers the opportunity to complement biologically the rapidly expanding strategies in comparative genomics. The Mammalian Phenotype Ontology (MPO), a structured vocabulary of phenotype terms that leverages observations encompassing the consequences of mouse gene knockout studies, is a principal component of mouse phenotype knowledge source. On the other hand, the Unified Medical Language System (UMLS) is a composite collection of various human-centered biomedical terminologies. In the present study, we mapped terms reciprocally from the MPO to human disease concepts such as clinical findings from the UMLS and clinical phenotypes from the Online Mendelian Inheritance in Man knowledgebase. By cross-mapping mouse-human phenotype terms, extracting implicated genes and extrapolating phenotype-gene associations between species PhenoHM provides a resource that enables rapid identification of genes that trigger similar outcomes in human and mouse and facilitates identification of potentially novel disease causal genes. The PhenoHM server can be accessed freely at http://phenome.cchmc.org.

Indexed as

GenomePhenotypeSoftwareAllelesAnimalsCataractDiseaseGene Regulatory NetworksGenesHumansInternetMiceVocabulary, Controlled

Identifiers

PMID20507906
PMCPMC2896149
OpenAlexW2020157607

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.