Disease Ontology 2015 update: An expanded and updated database of human diseases for linking biomedical knowledge through disease data
Abstract
The current version of the Human Disease Ontology (DO) (http://www.disease-ontology.org) database expands the utility of the ontology for the examination and comparison of genetic variation, phenotype, protein, drug and epitope data through the lens of human disease. DO is a biomedical resource of standardized common and rare disease concepts with stable identifiers organized by disease etiology. The content of DO has had 192 revisions since 2012, including the addition of 760 terms. Thirty-two percent of all terms now include definitions. DO has expanded the number and diversity of research communities and community members by 50+ during the past two years. These community members actively submit term requests, coordinate biomedical resource disease representation and provide expert curation guidance. Since the DO 2012 NAR paper, there have been hundreds of term requests and a steady increase in the number of DO listserv members, twitter followers and DO website usage. DO is moving to a multi-editor model utilizing Protégé to curate DO in web ontology language. In conclusion, this will enable closer collaboration with the Human Phenotype Ontology, EBI's Ontology Working Group, Mouse Genome Informatics and the Monarch Initiative among others, and enhance DO's current asserted view and multiple inferred views through reasoning.
- Authors:
-
- National Cancer Inst., Rockville, MD (United States)
- Univ. of Maryland School of Medicine, Baltimore, MD (United States)
- PubChem, National Center for Biotechnology Information, Bethesda, MD (United States). National Library of Medicine National Institutes of Health Department of Health and Human Services
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- European Molecular Biology Laboratory (EMBL), Heidelberg (Germany); Univ. of Luxembourg (Luxembourg)
- European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridge (United Kingdom)
- European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridge (United Kingdom)
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1256071
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Nucleic Acids Research
- Additional Journal Information:
- Journal Volume: 43; Journal Issue: D1; Journal ID: ISSN 0305-1048
- Publisher:
- Oxford University Press
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES
Citation Formats
Kibbe, Warren A., Arze, Cesar, Felix, Victor, Mitraka, Elvira, Bolton, Evan, Fu, Gang, Mungall, Christopher J., Binder, Janos X., Malone, James, Vasant, Drashtti, Parkinson, Helen, and Schriml, Lynn M. Disease Ontology 2015 update: An expanded and updated database of human diseases for linking biomedical knowledge through disease data. United States: N. p., 2014.
Web. doi:10.1093/nar/gku1011.
Kibbe, Warren A., Arze, Cesar, Felix, Victor, Mitraka, Elvira, Bolton, Evan, Fu, Gang, Mungall, Christopher J., Binder, Janos X., Malone, James, Vasant, Drashtti, Parkinson, Helen, & Schriml, Lynn M. Disease Ontology 2015 update: An expanded and updated database of human diseases for linking biomedical knowledge through disease data. United States. https://doi.org/10.1093/nar/gku1011
Kibbe, Warren A., Arze, Cesar, Felix, Victor, Mitraka, Elvira, Bolton, Evan, Fu, Gang, Mungall, Christopher J., Binder, Janos X., Malone, James, Vasant, Drashtti, Parkinson, Helen, and Schriml, Lynn M. Mon .
"Disease Ontology 2015 update: An expanded and updated database of human diseases for linking biomedical knowledge through disease data". United States. https://doi.org/10.1093/nar/gku1011. https://www.osti.gov/servlets/purl/1256071.
@article{osti_1256071,
title = {Disease Ontology 2015 update: An expanded and updated database of human diseases for linking biomedical knowledge through disease data},
author = {Kibbe, Warren A. and Arze, Cesar and Felix, Victor and Mitraka, Elvira and Bolton, Evan and Fu, Gang and Mungall, Christopher J. and Binder, Janos X. and Malone, James and Vasant, Drashtti and Parkinson, Helen and Schriml, Lynn M.},
abstractNote = {The current version of the Human Disease Ontology (DO) (http://www.disease-ontology.org) database expands the utility of the ontology for the examination and comparison of genetic variation, phenotype, protein, drug and epitope data through the lens of human disease. DO is a biomedical resource of standardized common and rare disease concepts with stable identifiers organized by disease etiology. The content of DO has had 192 revisions since 2012, including the addition of 760 terms. Thirty-two percent of all terms now include definitions. DO has expanded the number and diversity of research communities and community members by 50+ during the past two years. These community members actively submit term requests, coordinate biomedical resource disease representation and provide expert curation guidance. Since the DO 2012 NAR paper, there have been hundreds of term requests and a steady increase in the number of DO listserv members, twitter followers and DO website usage. DO is moving to a multi-editor model utilizing Protégé to curate DO in web ontology language. In conclusion, this will enable closer collaboration with the Human Phenotype Ontology, EBI's Ontology Working Group, Mouse Genome Informatics and the Monarch Initiative among others, and enhance DO's current asserted view and multiple inferred views through reasoning.},
doi = {10.1093/nar/gku1011},
journal = {Nucleic Acids Research},
number = D1,
volume = 43,
place = {United States},
year = {Mon Oct 27 00:00:00 EDT 2014},
month = {Mon Oct 27 00:00:00 EDT 2014}
}
Web of Science
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