Evidence map›Paper›PMID 35317743›Full record

ArticleBMC bioinformatics2022

The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development.

Malcolm E Fisher, Erik Segerdell, Nicolas Matentzoglu, Mardi J Nenni, Joshua D Fortriede, Stanley Chu, Troy J Pells, David Osumi-Sutherland, Praneet Chaturvedi, Christina James-Zorn and 10 more

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

12 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Xenbase: A Guide to the Xenopus Genetics and Genomics Knowledgebase.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  3. Article
  4. Convergence of autism proteins at the cilium.bioRxiv : the preprint server for biology · 2025
    Article
  5. Article
  6. Article
  7. Temporal Transcriptomic Profiling of the DevelopingbioRxiv : the preprint server for biology · 2024
    Article
  8. The Ontology of Biological Attributes (OBA)-computational traits for the life sciences.Mammalian genome : official journal of the International Mammalian Genome Society · 2023
    Article
  9. Review
  10. Article
  11. Article
  12. 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

20 authors at 3 institutions in 3 countries.

Malcolm E FisherDivision of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Erik SegerdellDivision of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Nicolas MatentzogluMonarch Initiative, London, UK.
Mardi J NenniDivision of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Joshua D FortriedeDivision of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Stanley ChuDepartment of Biological Science, University of Calgary, Calgary, AB, Canada.
Troy J PellsDepartment of Biological Science, University of Calgary, Calgary, AB, Canada.
David Osumi-SutherlandEuropean Bioinformatics Institute (EMBL-EBI), Hinxton, UK.
Praneet ChaturvediDivision of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Christina James-ZornDivision of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Nivitha SundararajDivision of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Vaneet S LotayDepartment of Biological Science, University of Calgary, Calgary, AB, Canada.
Virgilio PonferradaDivision of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Dong Zhuo WangDepartment of Biological Science, University of Calgary, Calgary, AB, Canada.
Eugene KimDepartment of Biological Science, University of Calgary, Calgary, AB, Canada.
Sergei AgalakovDepartment of Biological Science, University of Calgary, Calgary, AB, Canada.
Bradley I ArshinoffDepartment of Biological Science, University of Calgary, Calgary, AB, Canada.
Kamran KarimiDepartment of Biological Science, University of Calgary, Calgary, AB, Canada.
Peter D VizeDepartment of Biological Science, University of Calgary, Calgary, AB, Canada.
Aaron M ZornDivision of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA. aaron.zorn@cchmc.org.
Cincinnati Children's Hospital Medical Center · USUniversity of Calgary · CAEuropean Bioinformatics Institute · GB

Funding

Xenbase: the Xenopus Model Organism KnowledgebaseP41HD064556 · NICHD · CINCINNATI CHILDRENS HOSP MED CTR · PI Aaron M Zorn · 2010 to 2026
$24.9M
The Monarch Initiative: Linking Diseases to Model Organism ResourcesR24OD011883 · OD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAENDEL, MELISSA A, MUNGALL, CHRISTOPHER J · 2012 to 2024
$16.0M
Improvements to the LinkML framework to support the Phenomics First open science resourceRM1HG010860 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAENDEL, MELISSA A, MUNGALL, CHRISTOPHER J · 2020 to 2024
$10.3M
NHGRI NIH HHS 1RM1HG010860-01NHGRI NIH HHS RM1 HG010860NICHD NIH HHS P41 HD064556NIH HHS R24 OD011883
6 · The paper itself

Abstract

backgroundOntologies of precisely defined, controlled vocabularies are essential to curate the results of biological experiments such that the data are machine searchable, can be computationally analyzed, and are interoperable across the biomedical research continuum. There is also an increasing need for methods to interrelate phenotypic data easily and accurately from experiments in animal models with human development and disease.

resultsHere we present the Xenopus phenotype ontology (XPO) to annotate phenotypic data from experiments in Xenopus, one of the major vertebrate model organisms used to study gene function in development and disease. The XPO implements design patterns from the Unified Phenotype Ontology (uPheno), and the principles outlined by the Open Biological and Biomedical Ontologies (OBO Foundry) to maximize interoperability with other species and facilitate ongoing ontology management. Constructed in Web Ontology Language (OWL) the XPO combines the existing uPheno library of ontology design patterns with additional terms from the Xenopus Anatomy Ontology (XAO), the Phenotype and Trait Ontology (PATO) and the Gene Ontology (GO). The integration of these different ontologies into the XPO enables rich phenotypic curation, whilst the uPheno bridging axioms allows phenotypic data from Xenopus experiments to be related to phenotype data from other model organisms and human disease. Moreover, the simple post-composed uPheno design patterns facilitate ongoing XPO development as the generation of new terms and classes of terms can be substantially automated.

conclusionsThe XPO serves as an example of current best practices to help overcome many of the inherent challenges in harmonizing phenotype data between different species. The XPO currently consists of approximately 22,000 terms and is being used to curate phenotypes by Xenbase, the Xenopus Model Organism Knowledgebase, forming a standardized corpus of genotype-phenotype data that can be directly related to other uPheno compliant resources.

Indexed as

Biological OntologiesAnimalsGene OntologyHumansPhenotypeXenopus laevisDisease modelsOntologyPhenotypesXenopus

Identifiers

PMID35317743
PMCPMC8939077
OpenAlexW4221090405

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.