Literature DB >> 35044933

SARS-CoV-2 genetic diversity and variants of concern in Saudi Arabia.

Dalia Abdullah Obeid1, Madain Saleh Alsanea1, Rawan Talal Alnemari2, Ahmed Ali Al-Qahtani1, Sahar Isa Althawadi3, Maysoon Saleh Mutabagani3, Reem Saad Almaghrabi4, Faten Mohammed Alhadheq1, Basma Mohammed Alahideb1, Fatimah Saeed Alhamlan5.   

Abstract

INTRODUCTION: In December 2019, a new severe acute respiratory syndrome coronavirus, SARS-CoV-2, emerged in China, causing coronavirus disease 2019. The present study investigated genetic profiles and variations of SARS-CoV-2 distributed in different regions of Saudi Arabia to begin to understand the pathogenesis and transmission of SARS-CoV-2 in this country and analyzed associations of these variations with host factors.
METHODOLOGY: In total, 774 SARS-CoV-2 genomic sequences obtained and annotated by the Global Initiative on Sharing All Influenza Data (GISAID) were captured and analyzed.
RESULTS: The most common SARS-CoV-2 clades in Saudi Arabia were GH followed by O, GR, G, and S. Statistically significant associations were detected between clades and patient outcome. Age, as a host factor, was significantly associated with many variables, including virus geographical location, clade, and patient outcome. The most common variants detected were the NSP12_P323L mutation 94.9%, followed by the D614G mutation (76%) and the NS3_Q57H mutation (71.4%). The concerned variants B.1.1.7, B.1.351, and P.1 were not detected in our population. D614G was associated with higher morbidities than the wild-type virus, including higher rates of death and hospitalization. The NS3_Q57H mutation was the only variant associated with better patient outcome than the wild type. Risk of death was highest with the NSP12_P323L mutation (OR = 1.84; 95% CI = 0.37-9.30) and lowest with the NS3_Q57H mutation (OR = 0.43; 95% CI = 0.25-0.727).
CONCLUSIONS: SARS-CoV-2 has evolved uniquely and independently in Saudi Arabia. Our findings provide evidence to begin linking the evolutionary implications to host factors and their effects on the virus severity and transmission. Copyright (c) 2021 Dalia Abdullah Obeid, Madain Saleh Alsanea, Rawan Talal Alnemari, Ahmed Ali Al-Qahtani, Sahar Isa Althawadi, Maysoon Saleh Mutabagani, Reem Saad Almaghrabi, Faten Mohammed Alhadheq, Basma Mohammed Alahideb, Fatimah Saeed Alhamlan.

Entities:  

Keywords:  COVID-19; Genome; Genome Variants; SARS-CoV-2

Mesh:

Year:  2021        PMID: 35044933     DOI: 10.3855/jidc.15350

Source DB:  PubMed          Journal:  J Infect Dev Ctries        ISSN: 1972-2680            Impact factor:   0.968


  2 in total

1.  A simulation of geographic distribution for the emergence of consequential SARS-CoV-2 variant lineages.

Authors:  Tetsuya Akaishi; Tadashi Ishii
Journal:  Sci Rep       Date:  2022-06-15       Impact factor: 4.996

2.  Genomic Surveillance of SARS-CoV-2 in the Southern Province of Zambia: Detection and Characterization of Alpha, Beta, Delta, and Omicron Variants of Concern.

Authors:  Ben Katowa; Annie Kalonda; Benjamin Mubemba; Japhet Matoba; Doreen Mainza Shempela; Jay Sikalima; Boniface Kabungo; Katendi Changula; Simbarashe Chitanga; Mpanga Kasonde; Otridah Kapona; Nathan Kapata; Kunda Musonda; Mwaka Monze; John Tembo; Matthew Bates; Alimuddin Zumla; Catherine G Sutcliffe; Masahiro Kajihara; Junya Yamagishi; Ayato Takada; Hirofumi Sawa; Roma Chilengi; Victor Mukonka; Walter Muleya; Edgar Simulundu
Journal:  Viruses       Date:  2022-08-24       Impact factor: 5.818

  2 in total

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