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Basic Characteristics of Mutations
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Mutation Site
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F108L |
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Mutation Site Sentence
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Studies suggest that NSP6 mutations Delta106 and S106T (ranked 3rd and 38th, and ) and F108L (ranked 23rd, ) may increase transmission by interferon antagonism. |
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Mutation Level
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Amino acid level |
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Mutation Type
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Nonsynonymous substitution |
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Gene/Protein/Region
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Standardized Encoding Gene
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Genotype/Subtype
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- |
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Viral Reference
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-
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Functional Impact and Mechanisms
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Disease
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COVID-19
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Immune
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- |
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Target Gene
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-
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Clinical and Epidemiological Correlations
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Clinical Information
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- |
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Treatment
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- |
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Location
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- |
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Literature Information
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PMID
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39774959
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Title
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Inferring effects of mutations on SARS-CoV-2 transmission from genomic surveillance data
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Author
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Lee B,Quadeer AA,Sohail MS,Finney E,Ahmed SF,McKay MR,Barton JP
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Journal
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Nature communications
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Journal Info
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2025 Jan 7;16(1):441
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Abstract
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New and more transmissible variants of SARS-CoV-2 have arisen multiple times over the course of the pandemic. Rapidly identifying mutations that affect transmission could improve our understanding of viral biology and highlight new variants that warrant further study. Here we develop a generic, analytical epidemiological model to infer the transmission effects of mutations from genomic surveillance data. Applying our model to SARS-CoV-2 data across many regions, we find multiple mutations that substantially affect the transmission rate, both within and outside the Spike protein. The mutations that we infer to have the largest effects on transmission are strongly supported by experimental evidence from prior studies. Importantly, our model detects lineages with increased transmission even at low frequencies. As an example, we infer significant transmission advantages for the Alpha, Delta, and Omicron variants shortly after their appearances in regional data, when they comprised only around 1-2% of sample sequences. Our model thus facilitates the rapid identification of variants and mutations that affect transmission from genomic surveillance data.
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Sequence Data
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-
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