Publication:
Global dynamics of SARS-CoV-2 clades and their relation to COVID-19 epidemiology

Publisher DOI
10.1038/s41598-021-87713-x
Date
2021-04-19

Type
Article
Authors
Hamed, Samira M.
Elkhatib, Walid F.
Khairalla, Ahmed S.
Noreddin, Ayman M.
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Publisher
Springer Nature
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Source
https://www.nature.com/articles/s41598-021-87713-x
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Abstract
Abstract: Expansion of COVID-19 worldwide increases interest in unraveling genomic variations of novel SARS-CoV-2 virus. Metadata of 408,493 SARS-CoV-2 genomes submitted to GISAID database were analyzed with respect to genomic clades and their geographic, age, and gender distributions. Of the currently known SARS-CoV-2 clades, clade GR was the most prevalent worldwide followed by GV then GH. Chronological analysis revealed expansion in SARS-CoV-2 clades carrying D614G mutations with the predominance of the newest clade, GV, in the last three months. D614G clades prevail in countries with more COVID-19 cases. Of them, the clades GH and GR were more frequently recovered from severe or deceased COVID-19 cases. In contrast, G and GV clades showed a significantly higher prevalence among asymptomatic patients or those with mild disease. Metadata analysis showed higher (p < 0.05) prevalence of severe/deceased cases among males than females and predominance of GR clade in female patients. Furthermore, severe disease/death was more prevalent (p < 0.05) in elderly than in adults/children. Higher prevalence of the GV clade in children compared to other age groups was also evident. These findings uniquely provide a statistical evidence on the adaptation-driven evolution of SARS-CoV-2 leading to altered infectivity, virulence, and mortality.
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Keywords
Epidemiology, Infectious diseases, Evolutionary developmental biology
Citation
Hamed, S.M., Elkhatib, W.F., Khairalla, A.S. et al. Global dynamics of SARS-CoV-2 clades and their relation to COVID-19 epidemiology. Sci Rep 11, 8435 (2021). https://doi.org/10.1038/s41598-021-87713-x
Journal Title
Scientific Reports
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Volume
11
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1
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© 2023 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.