Coronavirus host genetics South Africa (COHG-SA) database—a variant database for gene regions associated with SARS-CoV-2 outcomes

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dc.contributor.author Barmania, Fatima
dc.contributor.author Mellet, Juanita
dc.contributor.author Ryder, Megan A.
dc.contributor.author Ford, Graeme R.
dc.contributor.author Herd, Candice L.
dc.contributor.author Tamuhla, Tsaone
dc.contributor.author Hendricks, Candice
dc.contributor.author Giles, Rachel
dc.contributor.author Kalua, Thumbiko
dc.contributor.author Joubert, Fourie
dc.contributor.author Tiffin, Nicki
dc.contributor.author Pepper, Michael Sean
dc.date.accessioned 2023-06-14T10:40:50Z
dc.date.available 2023-06-14T10:40:50Z
dc.date.issued 2022-08
dc.description.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. en_US
dc.description.department Biochemistry en_US
dc.description.department Genetics en_US
dc.description.department Immunology en_US
dc.description.department Microbiology and Plant Pathology en_US
dc.description.librarian am2023 en_US
dc.description.sponsorship The South African Medical Research Council through its Division of Research Capacity Development under the SAMRC Internship Scholarship Programme from funding received from the South African National Treasury; the CIDRI-Africa Wellcome Trust grant; the NIH H3ABioNET award; the UKRI/MRC and the University of Pretoria through the Institute for Cellular and Molecular Medicine. en_US
dc.description.uri https://www.nature.com/ejhg en_US
dc.identifier.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. en_US
dc.identifier.issn 1018-4813 (print)
dc.identifier.issn 1476-5438 (online)
dc.identifier.other 10.1038/s41431-022-01089-8
dc.identifier.uri http://hdl.handle.net/2263/91125
dc.language.iso en en_US
dc.publisher Springer nature en_US
dc.rights © The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License. en_US
dc.subject Disease en_US
dc.subject Causes en_US
dc.subject Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) en_US
dc.subject COVID-19 pandemic en_US
dc.subject Coronavirus disease 2019 (COVID-19) en_US
dc.subject SDG-03: Good health and well-being en_US
dc.title Coronavirus host genetics South Africa (COHG-SA) database—a variant database for gene regions associated with SARS-CoV-2 outcomes en_US
dc.type Article en_US


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