The Human Phenotype Ontology in 2024: phenotypes around the world.

dc.contributor.authorTalapova, P.
dc.contributor.authorGargano, M.A.
dc.contributor.authorMatentzoglu, N.
dc.contributor.authorColeman, B.
dc.contributor.authorAddo-Lartey, E.B.
dc.contributor.authorAnagnostopoulos, A.V.
dc.contributor.authorAnderton, J.
dc.contributor.authorAvillach, P.
dc.date.accessioned2023-12-08T11:54:06Z
dc.date.available2023-12-08T11:54:06Z
dc.date.issued2023-11-13
dc.description.abstractThe Human Phenotype Ontology (HPO) is a widely used resource that comprehensively organizes and defines the phenotypic features of human disease, enabling computational inference and supporting genomic and phenotypic analyses through semantic similarity and machine learning algorithms. The HPO has widespread applications in clinical diagnostics and translational research, including genomic diagnostics, gene-disease discovery, and cohort analytics. In recent years, groups around the world have developed translations of the HPO from English to other languages, and the HPO browser has been internationalized, allowing users to view HPO term labels and in many cases synonyms and definitions in ten languages in addition to English. Since our last report, a total of 2239 new HPO terms and 49235 new HPO annotations were developed, many in collaboration with external groups in the fields of psychiatry, arthrogryposis, immunology and cardiology. The Medical Action Ontology (MAxO) is a new effort to model treatments and other measures taken for clinical management. Finally, the HPO consortium is contributing to efforts to integrate the HPO and the GA4GH Phenopacket Schema into electronic health records (EHRs) with the goal of more standardized and computable integration of rare disease data in EHRs.en_US
dc.identifier.citationThe Human Phenotype Ontology in 2024: phenotypes around the world / M. A. Gargano, N. Matentzoglu, B. Coleman [et al.] // Nucleic Acids Research. ─ 2023. ─ doi: 10.1093/nar/gkad1005.en_US
dc.identifier.issn1362-4962
dc.identifier.urihttps://repo.knmu.edu.ua/handle/123456789/33350
dc.language.isoen_USen_US
dc.publisherNucleic Acids Research, Oxford University Pressen_US
dc.relation.ispartofseriesgkad1005
dc.subjecthuman phenotype ontologyen_US
dc.subjectcomputational inference in genomicsen_US
dc.subjectphenotypic analysis algorithmsen_US
dc.subjectclinical diagnosticsen_US
dc.subjectphenotypic features of human iseaseen_US
dc.subjectgenomic diagnosticsen_US
dc.subjectrare disease data standardizationen_US
dc.subject2023аen_US
dc.titleThe Human Phenotype Ontology in 2024: phenotypes around the world.en_US
dc.typeArticleen_US

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