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A global analysis of replacement of genetic variants of SARS-CoV-2 in association with containment capacity and changes in disease severity

OBJECTIVES: To examine severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant replacement in association with containment capacity and changes in case fatality at country level. METHODS: Altogether, 69 571 full SARS-CoV-2 genomes collected globally within the first 6 months of the pand...

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Autores principales: Chen, Zigui, Chong, Ka Chun, Wong, Martin C.S., Boon, Siaw S., Huang, Junjie, Wang, Maggie H., Ng, Rita W.Y., Lai, Christopher K.C., Chan, Paul K.S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd on behalf of European Society of Clinical Microbiology and Infectious Diseases. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7846470/
https://www.ncbi.nlm.nih.gov/pubmed/33524589
http://dx.doi.org/10.1016/j.cmi.2021.01.018
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author Chen, Zigui
Chong, Ka Chun
Wong, Martin C.S.
Boon, Siaw S.
Huang, Junjie
Wang, Maggie H.
Ng, Rita W.Y.
Lai, Christopher K.C.
Chan, Paul K.S.
author_facet Chen, Zigui
Chong, Ka Chun
Wong, Martin C.S.
Boon, Siaw S.
Huang, Junjie
Wang, Maggie H.
Ng, Rita W.Y.
Lai, Christopher K.C.
Chan, Paul K.S.
author_sort Chen, Zigui
collection PubMed
description OBJECTIVES: To examine severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant replacement in association with containment capacity and changes in case fatality at country level. METHODS: Altogether, 69 571 full SARS-CoV-2 genomes collected globally within the first 6 months of the pandemic were examined. The correlation between variant replacement and containment capacity was examined by logistic regression models using the WHO International Health Regulation (IHR) score, the Oxford COVID-19 Government Response Tracker (OxCGRT) and the vulnerability index INFORM as proxies, while correlation with changes in monthly crude case fatality ratios was examined by a mixed effect model. RESULTS: At the global level, variant lineage G∗, characterized by the S-D614G mutation, replaced the older lineages L and S in March 2020. European countries—including Finland, France and Italy—were the first to reach a 50% increment of G∗, whereas only Singapore and South Korea had non-G∗ persisting throughout the first 6 months. Countries with higher IHR scores (β-coefficient –0.001, 95%CI –0.016, –0.001; p 0.034) and higher stringency indexes (OxCGRT) (β-coefficient –0.011, 95%CI –0.020, –0.001; p 0.035) were associated with lower levels of G∗ replacement, whereas higher vulnerability indexes (INFORM) (β-coefficient 0.049, 95%CI 0.001, 0.097; p 0.044) were associated with higher replacement levels. Crude case fatality ratio showed a positive correlation with G∗ replacement (β-coefficient: 0.034, 95%CI 0.011, 0.058; p 0.004), even after adjusting for testing capacity and other country-specific characteristics. CONCLUSIONS: SARS-CoV-2 variant lineage G∗ (S-D614G) replaced older lineages more efficiently in countries with lower containment capacity, and its possible association with increased disease severity deserves further investigation.
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spelling pubmed-78464702021-02-01 A global analysis of replacement of genetic variants of SARS-CoV-2 in association with containment capacity and changes in disease severity Chen, Zigui Chong, Ka Chun Wong, Martin C.S. Boon, Siaw S. Huang, Junjie Wang, Maggie H. Ng, Rita W.Y. Lai, Christopher K.C. Chan, Paul K.S. Clin Microbiol Infect Original Article OBJECTIVES: To examine severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant replacement in association with containment capacity and changes in case fatality at country level. METHODS: Altogether, 69 571 full SARS-CoV-2 genomes collected globally within the first 6 months of the pandemic were examined. The correlation between variant replacement and containment capacity was examined by logistic regression models using the WHO International Health Regulation (IHR) score, the Oxford COVID-19 Government Response Tracker (OxCGRT) and the vulnerability index INFORM as proxies, while correlation with changes in monthly crude case fatality ratios was examined by a mixed effect model. RESULTS: At the global level, variant lineage G∗, characterized by the S-D614G mutation, replaced the older lineages L and S in March 2020. European countries—including Finland, France and Italy—were the first to reach a 50% increment of G∗, whereas only Singapore and South Korea had non-G∗ persisting throughout the first 6 months. Countries with higher IHR scores (β-coefficient –0.001, 95%CI –0.016, –0.001; p 0.034) and higher stringency indexes (OxCGRT) (β-coefficient –0.011, 95%CI –0.020, –0.001; p 0.035) were associated with lower levels of G∗ replacement, whereas higher vulnerability indexes (INFORM) (β-coefficient 0.049, 95%CI 0.001, 0.097; p 0.044) were associated with higher replacement levels. Crude case fatality ratio showed a positive correlation with G∗ replacement (β-coefficient: 0.034, 95%CI 0.011, 0.058; p 0.004), even after adjusting for testing capacity and other country-specific characteristics. CONCLUSIONS: SARS-CoV-2 variant lineage G∗ (S-D614G) replaced older lineages more efficiently in countries with lower containment capacity, and its possible association with increased disease severity deserves further investigation. The Author(s). Published by Elsevier Ltd on behalf of European Society of Clinical Microbiology and Infectious Diseases. 2021-05 2021-01-30 /pmc/articles/PMC7846470/ /pubmed/33524589 http://dx.doi.org/10.1016/j.cmi.2021.01.018 Text en © 2021 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Original Article
Chen, Zigui
Chong, Ka Chun
Wong, Martin C.S.
Boon, Siaw S.
Huang, Junjie
Wang, Maggie H.
Ng, Rita W.Y.
Lai, Christopher K.C.
Chan, Paul K.S.
A global analysis of replacement of genetic variants of SARS-CoV-2 in association with containment capacity and changes in disease severity
title A global analysis of replacement of genetic variants of SARS-CoV-2 in association with containment capacity and changes in disease severity
title_full A global analysis of replacement of genetic variants of SARS-CoV-2 in association with containment capacity and changes in disease severity
title_fullStr A global analysis of replacement of genetic variants of SARS-CoV-2 in association with containment capacity and changes in disease severity
title_full_unstemmed A global analysis of replacement of genetic variants of SARS-CoV-2 in association with containment capacity and changes in disease severity
title_short A global analysis of replacement of genetic variants of SARS-CoV-2 in association with containment capacity and changes in disease severity
title_sort global analysis of replacement of genetic variants of sars-cov-2 in association with containment capacity and changes in disease severity
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7846470/
https://www.ncbi.nlm.nih.gov/pubmed/33524589
http://dx.doi.org/10.1016/j.cmi.2021.01.018
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