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ODAE: Ontology of Drug Adverse Events
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ODAE

ODAE: Ontology of Drug Adverse Events

The ODAE is developed as a biomedical ontology in the area of drug adverse events. It is developed by following OBO Foundry principles (e.g., openness, collaboration).

As defined by the US FDA, an adverse drug event (ADE), also call adverse drug reaction (ADR) is any untoward medical occurrence associated with the use of a drug in humans, whether or not considered drug related. ADEs are ranked as the fourth leading cause of death in the United States and Canada behind heart disease, cancer, and stroke. In Europe, approximately 5 % of all hospital admissions are caused by ADEs, and ADEs cause 197,000 deaths annually throughout the EU. ADEs are estimated as the sixth leading cause of death worldwide. ADE-related death rates are associated with age, race, and urbanization subgroups.

ODAE extends the Ontology of Adverse Events (OAE). OAE also references the Ontology of Drug Neuropathy Adverse events (ODNAE) and the Ontology of Cardiovascular Drug AEs (OCVDAE). Different from ODNAE and OCVDAE, ODAE is built on a general ontology design pattern that takes into account the impact of more factors determining ADE including patient age and disease conditions.

The ODAE is primarily developed in the Oliver He laboratory at the University of Michigan, Ann Arbor, MI, USA. Professor Yu Lin and her colleagues from Guizhou Provincial People's Hospital and Guizhou University Medical College, Guiyang, Guizhou, China, also contributed significantly to the development of ODAE and its use cases.

Deposition

ODAE has been deposited on Ontobee and BioPortal:

Ontobee: http://www.ontobee.org/ontology/ODAE (See ODAE ontology statistics: http://www.ontobee.org/ontostat/ODAE)

BioPortal: http://bioportal.bioontology.org/ontologies/ODAE

Citation

Hong Yu, Solomiya Nysak, Noemi Garg, Edison Ong, Xianwei Ye, Xiangyan Zhang, Yongqun He. ODAE: Ontology-based systematic representation and analysis of drug adverse events and its usage in study of adverse events given different patient age and disease conditions. The 12th International Conference on Computational Systems Biology (ISB 2018, http://www.aporc.org/ISB/2018/), August 18-21, Guiyang, Guizhou, China. To be published in a Special issue in BMC Systems Biology.

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