Pandemic analysis of infection and death correlated with genomic open reading frame 10 mutation in severe acute respiratory syndrome coronavirus 2 victims
| Autor: | Pin-Hsing Tsai, De Ming Yang, Yueh Chien, Mong Lien Wang, Fan-Chi Lin, Tai-Jay Chang, Yi-Ping Yang |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Mutation rate
biology SARS-CoV-2 business.industry Mortality rate COVID-19 RNA virus General Medicine 030204 cardiovascular system & hematology biology.organism_classification Genome Virology Open Reading Frames 03 medical and health sciences Open reading frame 0302 clinical medicine 030220 oncology & carcinogenesis Mutation Pandemic Mutation (genetic algorithm) Mutation testing Humans Medicine business |
| Zdroj: | Journal of the Chinese Medical Association. 84:478-484 |
| ISSN: | 1726-4901 |
| DOI: | 10.1097/jcma.0000000000000542 |
| Popis: | BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues the pandemic spread of the coronavirus disease 2019 (COVID-19), over 60 million people confirmed infected and at least 1.8 million dead. One of the most known features of this RNA virus is its easiness to be mutated. In late 2020, almost no region of this SARS-CoV-2 genome can be found completely conserved within the original Wuhan coronavirus. Any information of the SARS-CoV-2 variants emerged through as time being will be evaluated for diagnosis, treatment, and prevention of COVID-19. METHODS: We extracted more than two million data of SARS-CoV-2 infected patients from the open COVID-19 dashboard. The sequences of the 38-amino acid putative open reading frame 10 (Orf10) protein within infected patients were gathered output through from National Center for Biotechnology Information and the mutation rates in each position were analyzed and presented in each month of 2020. The mutation rates of A8 and V30 within Orf10 are displayed in selected counties: United States, India, German, and Japan. RESULTS: The numbers of COVID-19 patients are correlated to the death numbers, but not with the death rates (stable and |
| Databáze: | OpenAIRE |
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