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DC Field | Value | Language |
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dc.contributor.author | Mbogori, Elius | - |
dc.contributor.author | Thiongo, Kelvin | - |
dc.contributor.author | Deng, Harrison Yunying | - |
dc.contributor.author | Gikunyu, Caroline | - |
dc.contributor.author | Cheriro, Winfrida | - |
dc.contributor.author | Musyoki, Stanslaus | - |
dc.contributor.author | Biegon, Richard | - |
dc.contributor.author | Matoke-Muhia, Damaris | - |
dc.contributor.author | Patel, Kirtika | - |
dc.contributor.author | Liang, Binhua | - |
dc.contributor.author | Songok, Elijah | - |
dc.date.accessioned | 2024-06-10T13:01:58Z | - |
dc.date.available | 2024-06-10T13:01:58Z | - |
dc.date.issued | 2024-05-10 | - |
dc.identifier.uri | https://doi.org/10.20944/preprints202405.0647.v1 | - |
dc.identifier.uri | http://ir.mu.ac.ke:8080/jspui/handle/123456789/9246 | - |
dc.description.abstract | The rise of new SARS-CoV-2 mutations brought challenges and progress in the global fight against COVID-19. Mutations in spike and accessory genes affect transmission, vaccine efficacy, treatments, testing, and public health strategies. Monitoring emerging variants is crucial to halt virus spread. Methods: 44 nasopharyngeal/oropharyngeal swabs from Kenyan patients were sequenced with the Illumina platform. Galaxy's bioinformatic tools were used for genomic analysis. SARS-CoV-2 genome classification was done using PANGOLIN and mutation annotation with the COVID-19 Annotator tool. Results: The study showed 5 clades to be circulating in the region. 38(86%) were BA.1.1; 2(5%) were BA.1.1.1; 1(2%) was BA.1; 1(2%) was BA.1.14 and 2(5%) were AY.46. These clades had a cumulative of 173 mutations among them with 50 novel mutations. Forty-eight of these novel mutations occurred in a low frequency of 2.3% of the sequences tested while the other two, S:R214R, and NSP2:A555A, were for 43.2% and 18.2% of the cases respectively. Conclusions: The high-frequency novel mutations were synonymous mutations, a phenomenon that was previously viewed as phenotypically silent but recent studies indicate they can affect viral fitness with potential functional associations. These findings add to the understanding of the SARS-CoV-2 virus future evolutionary and immunological dynamics in the region | en_US |
dc.language.iso | en | en_US |
dc.publisher | Preprints.org | en_US |
dc.subject | SARS-CoV-2 | en_US |
dc.subject | COVID-19 | en_US |
dc.subject | Spike protein | en_US |
dc.subject | Epistasis | en_US |
dc.subject | Reverse transcription | en_US |
dc.subject | Pathogenesis | en_US |
dc.subject | Vaccine efficacy | en_US |
dc.subject | Complementary DNA; | en_US |
dc.subject | Reverse transcription-polymerase chain reaction | en_US |
dc.title | Emerging Mutations of SARS-COV-2 in Kenya | en_US |
dc.type | Article | en_US |
Appears in Collections: | School of Medicine |
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