Barmania, FatimaMellet, JuanitaRyder, Megan A. (Ashley)Ford, Graeme R.Herd, Candice L.Tamuhla, TsaoneHendricks, Candice LaverneGiles, RachelKalua, ThumbikoJoubert, FourieTiffin, NickiPepper, Michael Sean2023-06-142023-06-142022-08Barmania, F., Mellet, J., Ryder, M.A. et al. 2022, 'Coronavirus host genetics South Africa (COHG-SA) database—a variant database for gene regions associated with SARS-CoV-2 outcomes', European Journal of Human Genetics, vol. 30, no. 8, pp. 880-888, doi : 10.1038/s41431-022-01089-8.1018-4813 (print)1476-5438 (online)10.1038/s41431-022-01089-8http://hdl.handle.net/2263/91125The SARS-CoV-2 virus is responsible for the COVID-19 global public health emergency, and the disease it causes is highly variable in its clinical presentation. Clinical phenotypes are heterogeneous both in terms of presentation of symptoms in the host and response to therapy. Several studies and initiatives have been established to analyse and review host genetic epidemiology associated with COVID-19. Our research group curated these articles into a web-based database using the python applicationserver framework Django. The database provides a searchable research tool describing current literature surrounding COVID-19 host genetic factors associated with disease outcome. This paper describes the COHG-SA database and provides an overview of the analyses that can be derived from these data.en© The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License.DiseaseCausesSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)COVID-19 pandemicCoronavirus disease 2019 (COVID-19)SDG-03: Good health and well-beingArticle