SARS-CoV-2 intra-host single-nucleotide variants associated with disease severity.
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Full Title: Virus Evol
Abbreviation: Virus Evol
Country: Unknown
Publisher: Unknown
Language: N/A
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"high-quality deep sequencing data with a minimum of 3500x mean read depth and genome coverage of 98 49 per cent enabled us to detect reliable isnvs at low frequency ( supplementary dataset 1 ).; the mixed linear regression considering age sex and onset days as covariates identified 196 pairs of hla and isnv with a p -value of <0 05 ( supplementary dataset 2 ) and the above isnvs and corresponding hla with obvious p -value corrected by bonferroni analyses had a high coefficient and a significant p -value as well."
"Conflict of interest: None declared."
"Funding This work was supported by the National Natural Science Foundation of China (grant numbers 82041010, 92169212, and 82161138018), Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response (grant number 20dz2260100), Key Discipline Construction Plan from Shanghai Municipal Health Commission (GWV-10.1-XK01), and Shanghai Municipal Science and Technology Major Project (HS2021SHZX001)."
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Last Updated: Aug 05, 2025