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. 2023 Feb 25;21:148. doi: 10.1186/s12967-023-03987-x

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© The Author(s) 2023

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 3 — Driver Assessment to DO classification workflow: the established workflow enables testing of the Complex Disease model through the identification of drivers for specific complex diseases. Assessment results in (1) identifying the genetics, epigenetics, social determinants of health, environmental drivers and other host factor drivers for a disease (2) updating the disease driver terms in the DO’s DISDRIV ontology, (3) revision of the DO classification (addition or removal of disease terms, defining, and (4) defining disease to driver relationships by including an ontology axiom statements to define the disease to driver association (e.g. FAS ‘has_disease_driver’ alcohol)