Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783727916499075072 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8306878 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT jalawaidawajdy correlatesofsarscov2variantsondeathscaseincidenceandcasefatalityratioamongthecontinentsfortheperiodof1december2020to15march2021 AT jawabrahalhouranibaker correlatesofsarscov2variantsondeathscaseincidenceandcasefatalityratioamongthecontinentsfortheperiodof1december2020to15march2021 AT swedansamer correlatesofsarscov2variantsondeathscaseincidenceandcasefatalityratioamongthecontinentsfortheperiodof1december2020to15march2021 AT nimerrefat correlatesofsarscov2variantsondeathscaseincidenceandcasefatalityratioamongthecontinentsfortheperiodof1december2020to15march2021 AT alzoughoolfoad correlatesofsarscov2variantsondeathscaseincidenceandcasefatalityratioamongthecontinentsfortheperiodof1december2020to15march2021 AT jalameerhamzeh correlatesofsarscov2variantsondeathscaseincidenceandcasefatalityratioamongthecontinentsfortheperiodof1december2020to15march2021 AT ealtamamsara correlatesofsarscov2variantsondeathscaseincidenceandcasefatalityratioamongthecontinentsfortheperiodof1december2020to15march2021 AT alashqarraghad correlatesofsarscov2variantsondeathscaseincidenceandcasefatalityratioamongthecontinentsfortheperiodof1december2020to15march2021 AT albawareedomar correlatesofsarscov2variantsondeathscaseincidenceandcasefatalityratioamongthecontinentsfortheperiodof1december2020to15march2021 AT gushchinayulia correlatesofsarscov2variantsondeathscaseincidenceandcasefatalityratioamongthecontinentsfortheperiodof1december2020to15march2021 AT samyabousennamohamed correlatesofsarscov2variantsondeathscaseincidenceandcasefatalityratioamongthecontinentsfortheperiodof1december2020to15march2021 AT ayyashamanimarwan correlatesofsarscov2variantsondeathscaseincidenceandcasefatalityratioamongthecontinentsfortheperiodof1december2020to15march2021 AT sharabahmad correlatesofsarscov2variantsondeathscaseincidenceandcasefatalityratioamongthecontinentsfortheperiodof1december2020to15march2021 AT malnaimatsulaiman correlatesofsarscov2variantsondeathscaseincidenceandcasefatalityratioamongthecontinentsfortheperiodof1december2020to15march2021 AT imraishamer correlatesofsarscov2variantsondeathscaseincidenceandcasefatalityratioamongthecontinentsfortheperiodof1december2020to15march2021 AT wakashmuhanad correlatesofsarscov2variantsondeathscaseincidenceandcasefatalityratioamongthecontinentsfortheperiodof1december2020to15march2021 AT rhadinajah correlatesofsarscov2variantsondeathscaseincidenceandcasefatalityratioamongthecontinentsfortheperiodof1december2020to15march2021 |