1. The Sickle Cell Disease Ontology: enabling universal sickle cell-based knowledge representation
- Author
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Léon Tshilolo, Mohamed Cherif Rahimy, Jade Hotchkiss, Melek Chaouch, Neil A. Hanchard, Zainab Abimbola Kashim, Ines Tiouiri, Amy Geard, Melissa A. Haendel, Sumir Panji, Kofi A. Anie, Victoria Nembaware, Jemima A. Dennis-Antwi, Karen Kengne Kamga, Marsha Treadwell, Kais Ghedira, Raphael Z. Sangeda, Emile R. Chimusa, Daima Bukini, Solomon F. Ofori-Acquah, Catherine Chunda-Liyoka, Mario Jonas, Adekunle Adekile, Tshepiso Masekoameng, Vivian Paintsil, Liberata Mwita, Kasadhakawo Musa Waiswa, Gaston K. Mazandu, Adijat Ozohu Jimoh, Guida Landouré, Bamidele O. Tayo, Philomene Lopez-Sall, Andrew D. Campbell, Baba Inusa, Clair Ingram, Jennifer Knight-Madden, Khuthala Mnika, Muntaser E. Ibrahim, Ambroise Wonkam, Nicole Vasilevsky, Deogratias Munube, Furahini Tluway, Julie Makani, Nchangwi Syntia Munung, Cherif Ben Hamda, Kwaku Ohene-Frempong, Leonard Malasa, Biobele J. Brown, Vimal K. Derebail, Obiageli E Nnodu, Charmaine D.M. Royal, Simon Jupp, Nicola Mulder, Miriam V Flor-Park, and Alex Osei-Akoto
- 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 - 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.
- Published
- 2019
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