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Correlates of SARS-CoV-2 Variants on Deaths, Case Incidence and Case Fatality Ratio among the Continents for the Period of 1 December 2020 to 15 March 2021

The outbreak of coronavirus disease 2019 (COVID-19), by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has quickly developed into a worldwide pandemic. Mutations in the SARS-CoV-2 genome may affect various aspects of the disease including fatality ratio. In this study, 553,518 SAR...

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Autores principales: J. Al-Awaida, Wajdy, Jawabrah Al Hourani, Baker, Swedan, Samer, Nimer, Refat, Alzoughool, Foad, J. Al-Ameer, Hamzeh, E. Al Tamam, Sara, Alashqar, Raghad, Al bawareed, Omar, Gushchina, Yulia, Samy Abousenna, Mohamed, Ayyash, Amani Marwan, Sharab, Ahmad, M. Alnaimat, Sulaiman, Imraish, Amer, W. Akash, Muhanad, R. Hadi, Najah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8306878/
https://www.ncbi.nlm.nih.gov/pubmed/34356077
http://dx.doi.org/10.3390/genes12071061
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author J. Al-Awaida, Wajdy
Jawabrah Al Hourani, Baker
Swedan, Samer
Nimer, Refat
Alzoughool, Foad
J. Al-Ameer, Hamzeh
E. Al Tamam, Sara
Alashqar, Raghad
Al bawareed, Omar
Gushchina, Yulia
Samy Abousenna, Mohamed
Ayyash, Amani Marwan
Sharab, Ahmad
M. Alnaimat, Sulaiman
Imraish, Amer
W. Akash, Muhanad
R. Hadi, Najah
author_facet J. Al-Awaida, Wajdy
Jawabrah Al Hourani, Baker
Swedan, Samer
Nimer, Refat
Alzoughool, Foad
J. Al-Ameer, Hamzeh
E. Al Tamam, Sara
Alashqar, Raghad
Al bawareed, Omar
Gushchina, Yulia
Samy Abousenna, Mohamed
Ayyash, Amani Marwan
Sharab, Ahmad
M. Alnaimat, Sulaiman
Imraish, Amer
W. Akash, Muhanad
R. Hadi, Najah
author_sort J. Al-Awaida, Wajdy
collection PubMed
description The outbreak of coronavirus disease 2019 (COVID-19), by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has quickly developed into a worldwide pandemic. Mutations in the SARS-CoV-2 genome may affect various aspects of the disease including fatality ratio. In this study, 553,518 SARS-CoV-2 genome sequences isolated from patients from continents for the period 1 December 2020 to 15 March 2021 were comprehensively analyzed and a total of 82 mutations were identified concerning the reference sequence. In addition, associations between the mutations and the case fatality ratio (CFR), cases per million and deaths per million, were examined. The mutations having the highest frequencies among different continents were Spike_D614G and NSP12_P323L. Among the identified mutations, NSP2_T153M, NSP14_I42V and Spike_L18F mutations showed a positive correlation to CFR. While the NSP13_Y541C, NSP3_T73I and NSP3_Q180H mutations demonstrated a negative correlation to CFR. The Spike_D614G and NSP12_P323L mutations showed a positive correlation to deaths per million. The NSP3_T1198K, NS8_L84S and NSP12_A97V mutations showed a significant negative correlation to deaths per million. The NSP12_P323L and Spike_D614G mutations showed a positive correlation to the number of cases per million. In contrast, NS8_L84S and NSP12_A97V mutations showed a negative correlation to the number of cases per million. In addition, among the identified clades, none showed a significant correlation to CFR. The G, GR, GV, S clades showed a significant positive correlation to deaths per million. The GR and S clades showed a positive correlation to number of cases per million. The clades having the highest frequencies among continents were G, followed by GH and GR. These findings should be taken into consideration during epidemiological surveys of the virus and vaccine development.
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spelling pubmed-83068782021-07-25 Correlates of SARS-CoV-2 Variants on Deaths, Case Incidence and Case Fatality Ratio among the Continents for the Period of 1 December 2020 to 15 March 2021 J. Al-Awaida, Wajdy Jawabrah Al Hourani, Baker Swedan, Samer Nimer, Refat Alzoughool, Foad J. Al-Ameer, Hamzeh E. Al Tamam, Sara Alashqar, Raghad Al bawareed, Omar Gushchina, Yulia Samy Abousenna, Mohamed Ayyash, Amani Marwan Sharab, Ahmad M. Alnaimat, Sulaiman Imraish, Amer W. Akash, Muhanad R. Hadi, Najah Genes (Basel) Article The outbreak of coronavirus disease 2019 (COVID-19), by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has quickly developed into a worldwide pandemic. Mutations in the SARS-CoV-2 genome may affect various aspects of the disease including fatality ratio. In this study, 553,518 SARS-CoV-2 genome sequences isolated from patients from continents for the period 1 December 2020 to 15 March 2021 were comprehensively analyzed and a total of 82 mutations were identified concerning the reference sequence. In addition, associations between the mutations and the case fatality ratio (CFR), cases per million and deaths per million, were examined. The mutations having the highest frequencies among different continents were Spike_D614G and NSP12_P323L. Among the identified mutations, NSP2_T153M, NSP14_I42V and Spike_L18F mutations showed a positive correlation to CFR. While the NSP13_Y541C, NSP3_T73I and NSP3_Q180H mutations demonstrated a negative correlation to CFR. The Spike_D614G and NSP12_P323L mutations showed a positive correlation to deaths per million. The NSP3_T1198K, NS8_L84S and NSP12_A97V mutations showed a significant negative correlation to deaths per million. The NSP12_P323L and Spike_D614G mutations showed a positive correlation to the number of cases per million. In contrast, NS8_L84S and NSP12_A97V mutations showed a negative correlation to the number of cases per million. In addition, among the identified clades, none showed a significant correlation to CFR. The G, GR, GV, S clades showed a significant positive correlation to deaths per million. The GR and S clades showed a positive correlation to number of cases per million. The clades having the highest frequencies among continents were G, followed by GH and GR. These findings should be taken into consideration during epidemiological surveys of the virus and vaccine development. MDPI 2021-07-12 /pmc/articles/PMC8306878/ /pubmed/34356077 http://dx.doi.org/10.3390/genes12071061 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
J. Al-Awaida, Wajdy
Jawabrah Al Hourani, Baker
Swedan, Samer
Nimer, Refat
Alzoughool, Foad
J. Al-Ameer, Hamzeh
E. Al Tamam, Sara
Alashqar, Raghad
Al bawareed, Omar
Gushchina, Yulia
Samy Abousenna, Mohamed
Ayyash, Amani Marwan
Sharab, Ahmad
M. Alnaimat, Sulaiman
Imraish, Amer
W. Akash, Muhanad
R. Hadi, Najah
Correlates of SARS-CoV-2 Variants on Deaths, Case Incidence and Case Fatality Ratio among the Continents for the Period of 1 December 2020 to 15 March 2021
title Correlates of SARS-CoV-2 Variants on Deaths, Case Incidence and Case Fatality Ratio among the Continents for the Period of 1 December 2020 to 15 March 2021
title_full Correlates of SARS-CoV-2 Variants on Deaths, Case Incidence and Case Fatality Ratio among the Continents for the Period of 1 December 2020 to 15 March 2021
title_fullStr Correlates of SARS-CoV-2 Variants on Deaths, Case Incidence and Case Fatality Ratio among the Continents for the Period of 1 December 2020 to 15 March 2021
title_full_unstemmed Correlates of SARS-CoV-2 Variants on Deaths, Case Incidence and Case Fatality Ratio among the Continents for the Period of 1 December 2020 to 15 March 2021
title_short Correlates of SARS-CoV-2 Variants on Deaths, Case Incidence and Case Fatality Ratio among the Continents for the Period of 1 December 2020 to 15 March 2021
title_sort correlates of sars-cov-2 variants on deaths, case incidence and case fatality ratio among the continents for the period of 1 december 2020 to 15 march 2021
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8306878/
https://www.ncbi.nlm.nih.gov/pubmed/34356077
http://dx.doi.org/10.3390/genes12071061
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