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The Human Phenotype Ontology project: linking molecular biology and disease through phenotype data
The Human Phenotype Ontology (HPO) project, available at http://www.human-phenotype-ontology.org, provides a structured, comprehensive and well-defined set of 10,088 classes (terms) describing human phenotypic abnormalities and 13,326 subclass relations between the HPO classes. In addition we have d...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3965098/ https://www.ncbi.nlm.nih.gov/pubmed/24217912 http://dx.doi.org/10.1093/nar/gkt1026 |
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author | Köhler, Sebastian Doelken, Sandra C. Mungall, Christopher J. Bauer, Sebastian Firth, Helen V. Bailleul-Forestier, Isabelle Black, Graeme C. M. Brown, Danielle L. Brudno, Michael Campbell, Jennifer FitzPatrick, David R. Eppig, Janan T. Jackson, Andrew P. Freson, Kathleen Girdea, Marta Helbig, Ingo Hurst, Jane A. Jähn, Johanna Jackson, Laird G. Kelly, Anne M. Ledbetter, David H. Mansour, Sahar Martin, Christa L. Moss, Celia Mumford, Andrew Ouwehand, Willem H. Park, Soo-Mi Riggs, Erin Rooney Scott, Richard H. Sisodiya, Sanjay Vooren, Steven Van Wapner, Ronald J. Wilkie, Andrew O. M. Wright, Caroline F. Vulto-van Silfhout, Anneke T. de Leeuw, Nicole de Vries, Bert B. A. Washingthon, Nicole L. Smith, Cynthia L. Westerfield, Monte Schofield, Paul Ruef, Barbara J. Gkoutos, Georgios V. Haendel, Melissa Smedley, Damian Lewis, Suzanna E. Robinson, Peter N. |
author_facet | Köhler, Sebastian Doelken, Sandra C. Mungall, Christopher J. Bauer, Sebastian Firth, Helen V. Bailleul-Forestier, Isabelle Black, Graeme C. M. Brown, Danielle L. Brudno, Michael Campbell, Jennifer FitzPatrick, David R. Eppig, Janan T. Jackson, Andrew P. Freson, Kathleen Girdea, Marta Helbig, Ingo Hurst, Jane A. Jähn, Johanna Jackson, Laird G. Kelly, Anne M. Ledbetter, David H. Mansour, Sahar Martin, Christa L. Moss, Celia Mumford, Andrew Ouwehand, Willem H. Park, Soo-Mi Riggs, Erin Rooney Scott, Richard H. Sisodiya, Sanjay Vooren, Steven Van Wapner, Ronald J. Wilkie, Andrew O. M. Wright, Caroline F. Vulto-van Silfhout, Anneke T. de Leeuw, Nicole de Vries, Bert B. A. Washingthon, Nicole L. Smith, Cynthia L. Westerfield, Monte Schofield, Paul Ruef, Barbara J. Gkoutos, Georgios V. Haendel, Melissa Smedley, Damian Lewis, Suzanna E. Robinson, Peter N. |
author_sort | Köhler, Sebastian |
collection | PubMed |
description | The Human Phenotype Ontology (HPO) project, available at http://www.human-phenotype-ontology.org, provides a structured, comprehensive and well-defined set of 10,088 classes (terms) describing human phenotypic abnormalities and 13,326 subclass relations between the HPO classes. In addition we have developed logical definitions for 46% of all HPO classes using terms from ontologies for anatomy, cell types, function, embryology, pathology and other domains. This allows interoperability with several resources, especially those containing phenotype information on model organisms such as mouse and zebrafish. Here we describe the updated HPO database, which provides annotations of 7,278 human hereditary syndromes listed in OMIM, Orphanet and DECIPHER to classes of the HPO. Various meta-attributes such as frequency, references and negations are associated with each annotation. Several large-scale projects worldwide utilize the HPO for describing phenotype information in their datasets. We have therefore generated equivalence mappings to other phenotype vocabularies such as LDDB, Orphanet, MedDRA, UMLS and phenoDB, allowing integration of existing datasets and interoperability with multiple biomedical resources. We have created various ways to access the HPO database content using flat files, a MySQL database, and Web-based tools. All data and documentation on the HPO project can be found online. |
format | Online Article Text |
id | pubmed-3965098 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-39650982014-03-25 The Human Phenotype Ontology project: linking molecular biology and disease through phenotype data Köhler, Sebastian Doelken, Sandra C. Mungall, Christopher J. Bauer, Sebastian Firth, Helen V. Bailleul-Forestier, Isabelle Black, Graeme C. M. Brown, Danielle L. Brudno, Michael Campbell, Jennifer FitzPatrick, David R. Eppig, Janan T. Jackson, Andrew P. Freson, Kathleen Girdea, Marta Helbig, Ingo Hurst, Jane A. Jähn, Johanna Jackson, Laird G. Kelly, Anne M. Ledbetter, David H. Mansour, Sahar Martin, Christa L. Moss, Celia Mumford, Andrew Ouwehand, Willem H. Park, Soo-Mi Riggs, Erin Rooney Scott, Richard H. Sisodiya, Sanjay Vooren, Steven Van Wapner, Ronald J. Wilkie, Andrew O. M. Wright, Caroline F. Vulto-van Silfhout, Anneke T. de Leeuw, Nicole de Vries, Bert B. A. Washingthon, Nicole L. Smith, Cynthia L. Westerfield, Monte Schofield, Paul Ruef, Barbara J. Gkoutos, Georgios V. Haendel, Melissa Smedley, Damian Lewis, Suzanna E. Robinson, Peter N. Nucleic Acids Res VI. Genomic variation, diseases and drugs The Human Phenotype Ontology (HPO) project, available at http://www.human-phenotype-ontology.org, provides a structured, comprehensive and well-defined set of 10,088 classes (terms) describing human phenotypic abnormalities and 13,326 subclass relations between the HPO classes. In addition we have developed logical definitions for 46% of all HPO classes using terms from ontologies for anatomy, cell types, function, embryology, pathology and other domains. This allows interoperability with several resources, especially those containing phenotype information on model organisms such as mouse and zebrafish. Here we describe the updated HPO database, which provides annotations of 7,278 human hereditary syndromes listed in OMIM, Orphanet and DECIPHER to classes of the HPO. Various meta-attributes such as frequency, references and negations are associated with each annotation. Several large-scale projects worldwide utilize the HPO for describing phenotype information in their datasets. We have therefore generated equivalence mappings to other phenotype vocabularies such as LDDB, Orphanet, MedDRA, UMLS and phenoDB, allowing integration of existing datasets and interoperability with multiple biomedical resources. We have created various ways to access the HPO database content using flat files, a MySQL database, and Web-based tools. All data and documentation on the HPO project can be found online. Oxford University Press 2014-01-01 2013-11-11 /pmc/articles/PMC3965098/ /pubmed/24217912 http://dx.doi.org/10.1093/nar/gkt1026 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by/3.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | VI. Genomic variation, diseases and drugs Köhler, Sebastian Doelken, Sandra C. Mungall, Christopher J. Bauer, Sebastian Firth, Helen V. Bailleul-Forestier, Isabelle Black, Graeme C. M. Brown, Danielle L. Brudno, Michael Campbell, Jennifer FitzPatrick, David R. Eppig, Janan T. Jackson, Andrew P. Freson, Kathleen Girdea, Marta Helbig, Ingo Hurst, Jane A. Jähn, Johanna Jackson, Laird G. Kelly, Anne M. Ledbetter, David H. Mansour, Sahar Martin, Christa L. Moss, Celia Mumford, Andrew Ouwehand, Willem H. Park, Soo-Mi Riggs, Erin Rooney Scott, Richard H. Sisodiya, Sanjay Vooren, Steven Van Wapner, Ronald J. Wilkie, Andrew O. M. Wright, Caroline F. Vulto-van Silfhout, Anneke T. de Leeuw, Nicole de Vries, Bert B. A. Washingthon, Nicole L. Smith, Cynthia L. Westerfield, Monte Schofield, Paul Ruef, Barbara J. Gkoutos, Georgios V. Haendel, Melissa Smedley, Damian Lewis, Suzanna E. Robinson, Peter N. The Human Phenotype Ontology project: linking molecular biology and disease through phenotype data |
title | The Human Phenotype Ontology project: linking molecular biology and disease through phenotype data |
title_full | The Human Phenotype Ontology project: linking molecular biology and disease through phenotype data |
title_fullStr | The Human Phenotype Ontology project: linking molecular biology and disease through phenotype data |
title_full_unstemmed | The Human Phenotype Ontology project: linking molecular biology and disease through phenotype data |
title_short | The Human Phenotype Ontology project: linking molecular biology and disease through phenotype data |
title_sort | human phenotype ontology project: linking molecular biology and disease through phenotype data |
topic | VI. Genomic variation, diseases and drugs |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3965098/ https://www.ncbi.nlm.nih.gov/pubmed/24217912 http://dx.doi.org/10.1093/nar/gkt1026 |
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