ORDO

ORDO provides a structured ontology that captures rare diseases, their relationships to genes and epidemiological features, and cross-references to biomedical terminologies and databases to enable standardized annotation and computational analysis.


Key Features:

  • Structured Vocabulary: ORDO provides a comprehensive controlled vocabulary for rare diseases to facilitate consistent terminology across research and clinical settings.
  • Disease-Gene Relationships: ORDO encodes detailed gene–disease relationships linking rare disease concepts to associated genes.
  • Integration with Other Terminologies: ORDO maps and interoperates with MeSH, UMLS, and MedDRA.
  • Database Connectivity: ORDO cross-references identifiers and records in OMIM, UniProtKB, HGNC, Ensembl, Reactome, IUPHAR, and GEnAtlas.
  • Classification Systems: ORDO aligns disease concepts with classification systems such as ICD-10.

Scientific Applications:

  • Data annotation and exchange: ORDO supports standardized annotation and exchange of rare disease data across studies and resources.
  • Genetic analysis: ORDO enables linking diseases to genes for analyses of genetic underpinnings of rare conditions.
  • Epidemiological investigations: ORDO provides structured disease concepts and epidemiological attributes for population and prevalence studies.
  • Model annotation and distribution-based models: ORDO facilitates annotation of models and encoding of distribution-based model components for computational studies.
  • Predictive models and simulations: ORDO supplies standardized concepts and cross-references that support development of predictive models and simulations of disease mechanisms and progression.

Methodology:

ORDO systematically classifies rare diseases and establishes relationships between diseases and genes through integration and cross-referencing with existing terminologies (MeSH, UMLS, MedDRA) and databases (OMIM, UniProtKB, HGNC, Ensembl, Reactome, IUPHAR, GEnAtlas).

Topics

Collections

Details

License:
Apache-2.0
Maturity:
Mature
Cost:
Free of charge
Tool Type:
database, web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
2/4/2015
Last Updated:
9/16/2020

Operations

Publications

Swat MJ, Grenon P, Wimalaratne S. ProbOnto: ontology and knowledge base of probability distributions. Bioinformatics. 2016;32(17):2719-2721. doi:10.1093/bioinformatics/btw170. PMID:27153608. PMCID:PMC5013898.

Documentation

Downloads

Links