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The Sickle Cell Disease Ontology: enabling universal sickle cell-based knowledge representation
- Source :
- Database: The Journal of Biological Databases and Curation
- Publication Year :
- 2019
- Publisher :
- Oxford University Press (OUP), 2019.
-
Abstract
- Sickle cell disease (SCD) is one of the most common monogenic diseases in humans with multiple phenotypic expressions that can manifest as both acute and chronic complications. Although described more than a century ago, challenges in comprehensive disease management and collaborative research on this disease are compounded by the complex molecular and clinical phenotypes of SCD, environmental and psychosocial factors, limited therapeutic options and ambiguous terminology. This ambiguous terminology has hampered the integration and interoperability of existing SCD knowledge, and SCD research translation. The SCD Ontology (SCDO), which is a community-driven integrative and universal knowledge representation system for SCD, overcomes this issue by providing a controlled vocabulary developed by a group of experts in both SCD and ontology design. SCDO is the first and most comprehensive standardized human- and machine-readable resource that unambiguously represents terminology and concepts about SCD for researchers, patients and clinicians. It is built around the central concept ‘hemoglobinopathy’, allowing inclusion of non-SCD haemoglobinopathies, such as thalassaemias, which may interfere with or influence SCD phenotypic manifestations. This collaboratively developed ontology constitutes a comprehensive knowledge management system and standardized terminology of various SCD-related factors. The SCDO will promote interoperability of different research datasets, facilitate seamless data sharing and collaborations, including meta-analyses within the SCD community, and support the development and curation of data-basing and clinical informatics in SCD.
- Subjects :
- 0301 basic medicine
Knowledge representation and reasoning
business.industry
Knowledge Bases
Cell
Anemia, Sickle Cell
Computational biology
General Biochemistry, Genetics and Molecular Biology
3. Good health
03 medical and health sciences
Phenotype
030104 developmental biology
0302 clinical medicine
medicine.anatomical_structure
Biological Ontologies
Disease Ontology
Humans
Medicine
Original Article
General Agricultural and Biological Sciences
business
030217 neurology & neurosurgery
Information Systems
Cell based
Subjects
Details
- ISSN :
- 17580463
- Volume :
- 2019
- Database :
- OpenAIRE
- Journal :
- Database
- Accession number :
- edsair.doi.dedup.....ee4b96362fdb5776338a6b66eb949e49
- Full Text :
- https://doi.org/10.1093/database/baz118