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

dc.contributor.authorBarmania, Fatima
dc.contributor.authorMellet, Juanita
dc.contributor.authorRyder, Megan A. (Ashley)en
dc.contributor.authorFord, Graeme R.
dc.contributor.authorHerd, Candice L.
dc.contributor.authorTamuhla, Tsaone
dc.contributor.authorHendricks, Candice Laverne
dc.contributor.authorGiles, Rachel
dc.contributor.authorKalua, Thumbiko
dc.contributor.authorJoubert, Fourie
dc.contributor.authorTiffin, Nicki
dc.contributor.authorPepper, Michael Sean
dc.date.accessioned2023-06-14T10:40:50Z
dc.date.available2023-06-14T10:40:50Z
dc.date.issued2022-08
dc.description.abstractThe 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.departmentBiochemistryen_US
dc.description.departmentGeneticsen_US
dc.description.departmentImmunologyen_US
dc.description.departmentMicrobiology and Plant Pathologyen_US
dc.description.librarianam2023en_US
dc.description.sponsorshipThe 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.urihttps://www.nature.com/ejhgen_US
dc.identifier.citationBarmania, 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.issn1018-4813 (print)
dc.identifier.issn1476-5438 (online)
dc.identifier.other10.1038/s41431-022-01089-8
dc.identifier.urihttp://hdl.handle.net/2263/91125
dc.language.isoenen_US
dc.publisherSpringer natureen_US
dc.rights© The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License.en_US
dc.subjectDiseaseen_US
dc.subjectCausesen_US
dc.subjectSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)en_US
dc.subjectCOVID-19 pandemicen_US
dc.subjectCoronavirus disease 2019 (COVID-19)en_US
dc.subjectSDG-03: Good health and well-beingen_US
dc.titleCoronavirus host genetics South Africa (COHG-SA) database—a variant database for gene regions associated with SARS-CoV-2 outcomesen_US
dc.typeArticleen_US

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