Coronavirus host genetics South Africa (COHG-SA) database—a variant database for gene regions associated with SARS-CoV-2 outcomes
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Date
Authors
Barmania, Fatima
Mellet, Juanita
Ford, Graeme R.
Herd, Candice L.
Tamuhla, Tsaone
Hendricks, Candice Laverne
Giles, Rachel
Kalua, Thumbiko
Joubert, Fourie
Journal Title
Journal ISSN
Volume Title
Publisher
Springer nature
Abstract
The 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.
Description
Keywords
Disease, Causes, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), COVID-19 pandemic, Coronavirus disease 2019 (COVID-19), SDG-03: Good health and well-being
Sustainable Development Goals
Citation
Barmania, 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.