This article is a Preprint
Preprints are preliminary research reports that have not been certified by peer review. They should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Preprints posted online allow authors to receive rapid feedback and the entire scientific community can appraise the work for themselves and respond appropriately. Those comments are posted alongside the preprints for anyone to read them and serve as a post publication assessment.
Emerging SARS-CoV-2 Genetic Variations and Mutations in the COVID-19 genomic sequence: A Systematic and Meta-analysis review (preprint)
researchsquare; 2021.
Preprint
in English
| PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-307547.v1
ABSTRACT
Objectives Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of coronavirus disease 2019 (COVID-19). The high mutation rate of RNA viruses causes genetic variation, virus evolution and it is a strategy to escape the immune system. In the present study, all researches and evidence were extracted from the available online national databases. Two researchers randomly evaluated the assessment of the research sensitivity. Finally, after quality assessment and specific inclusion and exclusion criteria, the eligible articles were entered for meta-analysis. The heterogeneity between the results of studies was measured using test statistic (Cochran's Q) and I2 index. The forest plots illustrated the point and pooled estimates with 95% confidence intervals (crossed lines). All statistical analyses were performed using Comprehensive meta-Analysis V.2 software.This meta-analysis included 13 primary studies investigating the SARS-CoV-2 genetic variations and mutations in the COVID-19 genomic sequence. According to the pooled prevalence (95% confidence interval) of mutations, the spike gene variations showed the highest non-synonymous mutation frequency (16.4%, CI 13.6, 16.6) and the Non-structural protein (NSP) genes possess the highest mutation frequency among total mutations (31.6%, CI 21, 44.6). Genomic mutation analysis of SARS-CoV-2 strains may provide knowledge about different biological infrequent mutations and their relationships of viral transmission, pathogenicity, infectivity, and fatality rates between SARS-CoV-2 and human cells.
Full text:
Available
Collection:
Preprints
Database:
PREPRINT-RESEARCHSQUARE
Main subject:
Coronavirus Infections
/
Severe Acute Respiratory Syndrome
/
COVID-19
Language:
English
Year:
2021
Document Type:
Preprint
Similar
MEDLINE
...
LILACS
LIS