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Disease Ontology: a backbone for disease semantic integration.

Publication ,  Journal Article
Schriml, LM; Arze, C; Nadendla, S; Chang, Y-WW; Mazaitis, M; Felix, V; Feng, G; Kibbe, WA
Published in: Nucleic Acids Res
January 2012

The Disease Ontology (DO) database (http://disease-ontology.org) represents a comprehensive knowledge base of 8043 inherited, developmental and acquired human diseases (DO version 3, revision 2510). The DO web browser has been designed for speed, efficiency and robustness through the use of a graph database. Full-text contextual searching functionality using Lucene allows the querying of name, synonym, definition, DOID and cross-reference (xrefs) with complex Boolean search strings. The DO semantically integrates disease and medical vocabularies through extensive cross mapping and integration of MeSH, ICD, NCI's thesaurus, SNOMED CT and OMIM disease-specific terms and identifiers. The DO is utilized for disease annotation by major biomedical databases (e.g. Array Express, NIF, IEDB), as a standard representation of human disease in biomedical ontologies (e.g. IDO, Cell line ontology, NIFSTD ontology, Experimental Factor Ontology, Influenza Ontology), and as an ontological cross mappings resource between DO, MeSH and OMIM (e.g. GeneWiki). The DO project (http://diseaseontology.sf.net) has been incorporated into open source tools (e.g. Gene Answers, FunDO) to connect gene and disease biomedical data through the lens of human disease. The next iteration of the DO web browser will integrate DO's extended relations and logical definition representation along with these biomedical resource cross-mappings.

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Published In

Nucleic Acids Res

DOI

EISSN

1362-4962

Publication Date

January 2012

Volume

40

Issue

Database issue

Start / End Page

D940 / D946

Location

England

Related Subject Headings

  • Vocabulary, Controlled
  • User-Computer Interface
  • Terminology as Topic
  • Software
  • Semantics
  • Humans
  • Disease
  • Developmental Biology
  • Databases, Factual
  • Computer Graphics
 

Citation

APA
Chicago
ICMJE
MLA
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Schriml, L. M., Arze, C., Nadendla, S., Chang, Y.-W., Mazaitis, M., Felix, V., … Kibbe, W. A. (2012). Disease Ontology: a backbone for disease semantic integration. Nucleic Acids Res, 40(Database issue), D940–D946. https://doi.org/10.1093/nar/gkr972
Schriml, Lynn Marie, Cesar Arze, Suvarna Nadendla, Yu-Wei Wayne Chang, Mark Mazaitis, Victor Felix, Gang Feng, and Warren Alden Kibbe. “Disease Ontology: a backbone for disease semantic integration.Nucleic Acids Res 40, no. Database issue (January 2012): D940–46. https://doi.org/10.1093/nar/gkr972.
Schriml LM, Arze C, Nadendla S, Chang Y-WW, Mazaitis M, Felix V, et al. Disease Ontology: a backbone for disease semantic integration. Nucleic Acids Res. 2012 Jan;40(Database issue):D940–6.
Schriml, Lynn Marie, et al. “Disease Ontology: a backbone for disease semantic integration.Nucleic Acids Res, vol. 40, no. Database issue, Jan. 2012, pp. D940–46. Pubmed, doi:10.1093/nar/gkr972.
Schriml LM, Arze C, Nadendla S, Chang Y-WW, Mazaitis M, Felix V, Feng G, Kibbe WA. Disease Ontology: a backbone for disease semantic integration. Nucleic Acids Res. 2012 Jan;40(Database issue):D940–D946.
Journal cover image

Published In

Nucleic Acids Res

DOI

EISSN

1362-4962

Publication Date

January 2012

Volume

40

Issue

Database issue

Start / End Page

D940 / D946

Location

England

Related Subject Headings

  • Vocabulary, Controlled
  • User-Computer Interface
  • Terminology as Topic
  • Software
  • Semantics
  • Humans
  • Disease
  • Developmental Biology
  • Databases, Factual
  • Computer Graphics