Author:
,Adekile Adekunle,Anie Kofi A,Hamda Cherif Ben,Brown Biobele,Bukini Daima,Campbell Andrew,Chaouch Melek,Chimusa Emile,Chunda-Liyoka Catherine,Dennis-Antwi Jemima,Derebail Vimal K,Flor-Park Miriam,Geard Amy,Ghedira Kais,Haendel Melissa,Hanchard Neil A,Hotchkiss Jade,Jonas Mario,Ibrahim Muntaser,Ingram Clair,Inusa Baba,Jimoh Adijat Ozohu,Jupp Simon,Kamga Karen,Kashim Zainab Abimbola,Knight-Madden Jennifer,Landouré Guida,Lopez-Sall Philomene,Makani Julie,Malasa Leonard,Masekoameng Tshepiso,Mazandu Gaston,Mnika Khuthala,Mulder Nicola,Munung Nchangwi Syntia,Munube Deogratias,Mwita Liberata,Nembaware Victoria,Nnodu Obiageli,Ofori-Acquah Solomon,Ohene-Frempong Kwaku,Osei-Akoto Alex,Paintsil Vivian,Panji Sumir,Rahimy Mohamed Cherif,Royal Charmaine,Sangeda Raphael Z,Tayo Bamidele,Tiouiri Ines,Tluway Furahini,Treadwell Marsha,Tshilolo Leon,Vasilevsky Nicole,Waiswa Kasadhakawo Musa,Wonkam Ambroise
Abstract
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.
Funder
National Heart, Lung, and Blood Institute
National Institutes of Health
Wellcome Trust
Publisher
Oxford University Press (OUP)
Subject
General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Information Systems