HPO
HPO provides a standardized ontology of human phenotypic abnormalities to enable precise annotation and computational analysis of disease-associated phenotypes.
Key Features:
- Phenotype vocabulary: A structured vocabulary of human phenotypic abnormalities with 10,088 classes and 13,326 subclass relationships.
- Syndrome annotations: Term-to-disease annotations covering 7,278 hereditary syndromes linked to source databases OMIM, Orphanet, and DECIPHER.
- Logical definitions: Logical definitions for 46% of classes constructed using terms from external ontologies including anatomy, cell types, function, embryology, and pathology.
- Meta-attributes: Annotations include meta-attributes such as frequency, literature references, and negations for each annotation.
- Equivalence mappings: Cross-mappings to other phenotype vocabularies including LDDB, Orphanet, MedDRA, UMLS, and phenoDB to support data integration.
- Model organism interoperability: Ontology definitions and mappings support interoperability with phenotype data from model organisms such as mouse and zebrafish.
Scientific Applications:
- Clinical diagnostics: Standardized phenotype terms enable precise clinical description of patient presentations and support diagnostic workflows.
- Genetic disease annotation: Linking phenotypic terms to syndromes in OMIM, Orphanet, and DECIPHER facilitates annotation of hereditary disorders.
- Comparative genomics and translational research: Interoperability with model organism phenotypes supports cross-species phenotype mapping and comparative studies.
- Computational phenotyping and data integration: Logical definitions and equivalence mappings enable computational analyses, integration across biomedical resources, and large-scale phenotype-based studies.
- Phenotype–network analysis: Structured phenotype data supports investigation of relationships between phenotypic abnormalities and cellular or biochemical networks in human genetics.
Methodology:
Logical definitions created using terms from external ontologies (anatomy, cell types, function, embryology, pathology, etc.); equivalence mappings established to LDDB, Orphanet, MedDRA, UMLS, and phenoDB; annotations linking HPO terms to 7,278 syndromes from OMIM, Orphanet, and DECIPHER; annotation meta-attributes include frequency, references, and negations.
Topics
Collections
Details
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- database, web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- SQL
- Added:
- 3/4/2017
- Last Updated:
- 6/16/2020
Operations
Publications
Köhler S, Doelken SC, Mungall CJ, Bauer S, Firth HV, Bailleul-Forestier I, Black GCM, Brown DL, Brudno M, Campbell J, FitzPatrick DR, Eppig JT, Jackson AP, Freson K, Girdea M, Helbig I, Hurst JA, Jähn J, Jackson LG, Kelly AM, Ledbetter DH, Mansour S, Martin CL, Moss C, Mumford A, Ouwehand WH, Park S, Riggs ER, Scott RH, Sisodiya S, Vooren SV, Wapner RJ, Wilkie AOM, Wright CF, Vulto-van Silfhout AT, Leeuw Nd, de Vries BBA, Washingthon NL, Smith CL, Westerfield M, Schofield P, Ruef BJ, Gkoutos GV, Haendel M, Smedley D, Lewis SE, Robinson PN. The Human Phenotype Ontology project: linking molecular biology and disease through phenotype data. Nucleic Acids Research. 2013;42(D1):D966-D974. doi:10.1093/nar/gkt1026. PMID:24217912. PMCID:PMC3965098.