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Coronavirus Host Genetics South Africa (COHG-SA) database—a variant database for gene regions associated with SARS-CoV-2 outcomes
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 ini...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8960680/ https://www.ncbi.nlm.nih.gov/pubmed/35351987 http://dx.doi.org/10.1038/s41431-022-01089-8 |
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author | Barmania, Fatima Mellet, Juanita Ryder, Megan A. Ford, Graeme Herd, Candice L. Tamuhla, Tsaone Hendricks, Candice Giles, Rachel Kalua, Thumbiko Joubert, Fourie Tiffin, Nicki Pepper, Michael S. |
author_facet | Barmania, Fatima Mellet, Juanita Ryder, Megan A. Ford, Graeme Herd, Candice L. Tamuhla, Tsaone Hendricks, Candice Giles, Rachel Kalua, Thumbiko Joubert, Fourie Tiffin, Nicki Pepper, Michael S. |
author_sort | Barmania, Fatima |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8960680 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-89606802022-03-29 Coronavirus Host Genetics South Africa (COHG-SA) database—a variant database for gene regions associated with SARS-CoV-2 outcomes Barmania, Fatima Mellet, Juanita Ryder, Megan A. Ford, Graeme Herd, Candice L. Tamuhla, Tsaone Hendricks, Candice Giles, Rachel Kalua, Thumbiko Joubert, Fourie Tiffin, Nicki Pepper, Michael S. Eur J Hum Genet Review Article 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. Springer International Publishing 2022-03-29 2022-08 /pmc/articles/PMC8960680/ /pubmed/35351987 http://dx.doi.org/10.1038/s41431-022-01089-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Article Barmania, Fatima Mellet, Juanita Ryder, Megan A. Ford, Graeme Herd, Candice L. Tamuhla, Tsaone Hendricks, Candice Giles, Rachel Kalua, Thumbiko Joubert, Fourie Tiffin, Nicki Pepper, Michael S. Coronavirus Host Genetics South Africa (COHG-SA) database—a variant database for gene regions associated with SARS-CoV-2 outcomes |
title | Coronavirus Host Genetics South Africa (COHG-SA) database—a variant database for gene regions associated with SARS-CoV-2 outcomes |
title_full | Coronavirus Host Genetics South Africa (COHG-SA) database—a variant database for gene regions associated with SARS-CoV-2 outcomes |
title_fullStr | Coronavirus Host Genetics South Africa (COHG-SA) database—a variant database for gene regions associated with SARS-CoV-2 outcomes |
title_full_unstemmed | Coronavirus Host Genetics South Africa (COHG-SA) database—a variant database for gene regions associated with SARS-CoV-2 outcomes |
title_short | Coronavirus Host Genetics South Africa (COHG-SA) database—a variant database for gene regions associated with SARS-CoV-2 outcomes |
title_sort | coronavirus host genetics south africa (cohg-sa) database—a variant database for gene regions associated with sars-cov-2 outcomes |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8960680/ https://www.ncbi.nlm.nih.gov/pubmed/35351987 http://dx.doi.org/10.1038/s41431-022-01089-8 |
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