Evidence map›Paper›PMID 20052305›Full record

ReviewWiley interdisciplinary reviews. Systems biology and medicine

The mammalian phenotype ontology: enabling robust annotation and comparative analysis.

Cynthia L Smith, Janan T Eppig

Abstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. Systems biology and medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 236 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
236citing papers in PubMed, 2 pooled it
5.9field-weighted citation impact, top 3% 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

236 citing papers in PubMed, 2 syntheses or guidelines pooled it, 379 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. A New Mouse Model for Ozone Health Effects Research.Environmental health perspectives · 2026
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  11. The Common Fund Data Ecosystem (CFDE).bioRxiv : the preprint server for biology · 2026
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  12. Rare heterozygous de novo variants in RAPGEF2 are associated with a neurodevelopmental disorder.Genetics in medicine : official journal of the American College of Medical Genetics · 2026
    Article
  13. Article
  14. Modeling patient variants ofbioRxiv : the preprint server for biology · 2026
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176 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Cynthia L SmithThe Jackson Laboratory, Box 24, 600 Main Street, Bar Harbor, ME 04605, USA.
Janan T EppigThe Jackson Laboratory, Box 24, 600 Main Street, Bar Harbor, ME 04605, USA.
Jackson Laboratory · US

Funding

SOFTWARE AND DATABASE SYSTEM DEVELOPMENTP41HG000330 · NHGRI · JACKSON LABORATORY · PI EPPIG, JANAN T. · 1995 to 2010
$72.1M
MULTI-LEVEL ANALYSIS AND DISPLAY OF MOUSE GENOME DATAP01HG000330 · NHGRI · JACKSON LABORATORY · PI EPPIG, JANAN T. · 1990 to 1994
–
NHGRI NIH HHS HG000330NHGRI NIH HHS P41 HG000330
6 · The paper itself

Abstract

The mouse has long been an important model for the study of human genetic disease. Through the application of genetic engineering and mutagenesis techniques, the number of unique mutant mouse models and the amount of phenotypic data describing them are growing exponentially. Describing phenotypes of mutant mice in a computationally useful manner that will facilitate data mining is a major challenge for bioinformatics. Here we describe a tool, the Mammalian Phenotype Ontology (MP), for classifying and organizing phenotypic information related to the mouse and other mammalian species. The MP Ontology has been applied to mouse phenotype descriptions in the Mouse Genome Informatics Database (MGI, http://www.informatics.jax.org/), the Rat Genome Database (RGD, http://rgd.mcw.edu), the Online Mendelian Inheritance in Animals (OMIA, http://omia.angis.org.au/) and elsewhere. Use of this ontology allows comparisons of data from diverse sources, can facilitate comparisons across mammalian species, assists in identifying appropriate experimental disease models, and aids in the discovery of candidate disease genes and molecular signaling pathways.

Indexed as

AnimalsClassificationData MiningDisease Models, AnimalGenomicsHumansMammalsMiceMutationPhenotypeSoftwareUser-Computer InterfaceAnnotationMammalModel SystemOntologyPhenotype

Identifiers

PMID20052305
PMCPMC2801442
OpenAlexW2010798628

What OpenQuestion holds

Textmetadata
LicenceTDM
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.