ArticleJournal of animal science2008
Animal trait ontology: The importance and usefulness of a unified trait vocabulary for animal species.
Article in Journal of animal science, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed.
- Beyond the hype: using AI, big data, wearable devices, and the internet of things for high-throughput livestock phenotyping.Briefings in functional genomics · 2025Review
- 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
- GWAS Atlas: an updated knowledgebase integrating more curated associations in plants and animals.Nucleic acids research · 2023Article
- STOREFISH 2.0: a database on the reproductive strategies of teleost fishes.Database : the journal of biological databases and curation · 2020Article
- Selection for Favorable Health Traits: A Potential Approach to Cope with Diseases in Farm Animals.Animals : an open access journal from MDPI · 2020Review
- GWAS Atlas: a curated resource of genome-wide variant-trait associations in plants and animals.Nucleic acids research · 2020Article
- The clinical measurement, measurement method and experimental condition ontologies: expansion, improvements and new applications.Journal of biomedical semantics · 2013Article
- Semantically enabling a genome-wide association study database.Journal of biomedical semantics · 2012Article
- The GENOTEND chip: a new tool to analyse gene expression in muscles of beef cattle for beef quality prediction.BMC veterinary research · 2012Article
- ReCGiP, a database of reproduction candidate genes in pigs based on bibliomics.Reproductive biology and endocrinology : RB&E · 2010Article
- Phenotype ontologies for mouse and man: bridging the semantic gap.Disease models & mechanismsReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Ontologies help to identify and formally define the entities and relationships in specific domains of interest. Bio-ontologies, in particular, play a central role in the annotation, integration, analysis, and interpretation of biological data. Missing from the number of bio-ontologies is one that includes phenotypic trait information found in livestock species. As a result, the Animal Trait Ontology (ATO) project being carried out under the auspices of the USDA-National Animal Genome Research Program is aimed at the development of a standardized trait ontology for farm animals and software tools to assist the research community in collaborative creation, editing, maintenance, and use of such an ontology. The ATO is currently inclusive of cattle, pig, and chicken species, and will include other livestock species in the future. The ATO will eventually be linked to other species (e.g., human, rat, mouse) so that comparative analysis can be efficiently performed between species.
Indexed as
Identifiers
What OpenQuestion holds
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.