ArticleJournal of biomedical semantics2013
The Vertebrate Trait Ontology: a controlled vocabulary for the annotation of trait data across species.
Article in Journal of biomedical semantics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mouse phenome database: curated data repository with interactive multi-population and multi-trait analyses.Mammalian genome : official journal of the International Mammalian Genome Society · 2023Pooled it
- Adoption of Standard Reference SNP Identifiers in Agricultural Genomics for Interoperability and Data Reuse.Scientific data · 2026Article
- 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 · 2026Article
- Standardized pipelines support and facilitate integration of diverse datasets at the Rat Genome Database.Database : the journal of biological databases and curation · 2025Article
- Integration of GWAS and transcriptomic analyses reveal candidate genes for duck gonadal development during puberty onset.BMC genomics · 2024Article
- Examining genotype-phenotype associations of GRAM domain proteins using GWAS, PheWAS and literature review in cattle, human, pig, mouse and chicken.Scientific reports · 2024Article
- Data sharing and ontology use among agricultural genetics, genomics, and breeding databases and resources of the Agbiodata Consortium.Database : the journal of biological databases and curation · 2023Article
- The Ontology of Biological Attributes (OBA)-computational traits for the life sciences.Mammalian genome : official journal of the International Mammalian Genome Society · 2023Article
- Rare disease research resources at the Rat Genome Database.Genetics · 2023Article
- A combinatorial approach implementing new database structures to facilitate practical data curation management of QTL, association, correlation and heritability data on trait variants.Database : the journal of biological databases and curation · 2023Article
- The Ontology of Biological Attributes (OBA) - Computational Traits for the Life Sciences.bioRxiv : the preprint server for biology · 2023Article
- Mouse Phenome Database: towards a more FAIR-compliant and TRUST-worthy data repository and tool suite for phenotypes and genotypes.Nucleic acids research · 2023Article
- IAnimal: a cross-species omics knowledgebase for animals.Nucleic acids research · 2023Article
- Data standardization of plant-pollinator interactions.GigaScience · 2022Article
- Providing Adverse Outcome Pathways from the AOP-Wiki in a Semantic Web Format to Increase Usability and Accessibility of the Content.Applied in vitro toxicology · 2022Article
- Mouse Phenome Database: a data repository and analysis suite for curated primary mouse phenotype data.Nucleic acids research · 2020Article
- Bovine Genome Database: new annotation tools for a new reference genome.Nucleic acids research · 2020Article
- Where to search top-K biomedical ontologies?Briefings in bioinformatics · 2019Review
- Data gaps and opportunities for comparative and conservation biology.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Building a livestock genetic and genomic information knowledgebase through integrative developments of Animal QTLdb and CorrDB.Nucleic acids research · 2019Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
backgroundThe use of ontologies to standardize biological data and facilitate comparisons among datasets has steadily grown as the complexity and amount of available data have increased. Despite the numerous ontologies available, one area currently lacking a robust ontology is the description of vertebrate traits. A trait is defined as any measurable or observable characteristic pertaining to an organism or any of its substructures. While there are several ontologies to describe entities and processes in phenotypes, diseases, and clinical measurements, one has not been developed for vertebrate traits; the Vertebrate Trait Ontology (VT) was created to fill this void. DESCRIPTION: Significant inconsistencies in trait nomenclature exist in the literature, and additional difficulties arise when trait data are compared across species. The VT is a unified trait vocabulary created to aid in the transfer of data within and between species and to facilitate investigation of the genetic basis of traits. Trait information provides a valuable link between the measurements that are used to assess the trait, the phenotypes related to the traits, and the diseases associated with one or more phenotypes. Because multiple clinical and morphological measurements are often used to assess a single trait, and a single measurement can be used to assess multiple physiological processes, providing investigators with standardized annotations for trait data will allow them to investigate connections among these data types.
conclusionsThe annotation of genomic data with ontology terms provides unique opportunities for data mining and analysis. Links between data in disparate databases can be identified and explored, a strategy that is particularly useful for cross-species comparisons or in situations involving inconsistent terminology. The VT provides a common basis for the description of traits in multiple vertebrate species. It is being used in the Rat Genome Database and Animal QTL Database for annotation of QTL data for rat, cattle, chicken, swine, sheep, and rainbow trout, and in the Mouse Phenome Database to annotate strain characterization data. In these databases, data are also cross-referenced to applicable terms from other ontologies, providing additional avenues for data mining and analysis. The ontology is available at http://bioportal.bioontology.org/ontologies/50138.
Identifiers
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Registered trials
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.