@article{Barmania2022,
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 application-server 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.},
author = {Barmania, Fatima and Mellet, Juanita and Ryder, Megan A and Ford, Graeme and Herd, Candice L and Tamuhla, Tsaone and Hendricks, Candice and Giles, Rachel and Kalua, Thumbiko and Joubert, Fourie and Tiffin, Nicki and Pepper, Michael S},
doi = {10.1038/s41431-022-01089-8},
file = {:C$\backslash$:/Users/01462563/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Barmania et al. - 2022 - Coronavirus Host Genetics South Africa (COHG-SA) database—a variant database for gene regions associated with S.pdf:pdf},
issn = {1476-5438},
journal = {European Journal of Human Genetics},
keywords = {Genetic databases,Immunogenetics,Mutation,OA,Viral infection,fund{\_}ack,review},
mendeley-tags = {OA,fund{\_}ack,review},
month = {mar},
pages = {https://doi.org/10.1038/s41431--022--01089--8},
pmid = {35351987},
publisher = {Nature Publishing Group},
title = {{Coronavirus Host Genetics South Africa (COHG-SA) database—a variant database for gene regions associated with SARS-CoV-2 outcomes}},
url = {https://www.nature.com/articles/s41431-022-01089-8},
year = {2022}
}

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