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The Human Disease Ontology 2022 update
Lynn M Schriml1, James B Munro1, Mike Schor1
1University of Maryland School of Medicine, Institute for Genome Sciences, Baltimore, MD, USA.
The Human Disease Ontology (DO) database has expanded significantly, now annotating over 1.5 million data elements. This update adds 1,793 new disease terms and enhances disease classification for biomedical research.
Area of Science:
- Biomedical Informatics
- Ontology Development
- Genomic Medicine
Background:
- The Human Disease Ontology (DO) has grown substantially since its 2018 publication.
- It serves as a critical resource for disease knowledge organization and standardization.
- The DO is funded by the National Human Genome Research Institute (NHGRI) as a Genomic Resource.
Purpose of the Study:
- To report on the recent expansion of the Human Disease Ontology.
- To highlight enhancements in disease content, definitions, and classification.
- To showcase improvements to the DO website and user resources.
Main Methods:
- Addition of 1,793 new disease terms.
- Incorporation of 22,137 new SubClassOf axioms for disease relationships.
- Enhancement of textual definitions for existing terms.
Main Results:
- DO terms are now annotated to over 1.5 million biomedical data elements and citations, a tenfold increase in five years.
- A 14% increase in textual definitions has been implemented.
- The DO's classification system has been expanded with new disease-to-disease connections.
Conclusions:
- The Human Disease Ontology is a vital, expanding resource for organizing and standardizing disease information.
- The updated DO facilitates multiscale biomedical data integration and analysis.
- Enhanced website features support research through multifaceted etiology searching and improved documentation.
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