SARS-CoV-2 intra-host single-nucleotide variants associated with disease severity.

Authors:
Zhang Y; Jiang N; Qi W; Li T; Zhang Y and 14 more

Journal:
Virus Evol

Publication Year: 2022

DOI:
10.1093/ve/veac106

PMCID:
PMC9728387

PMID:
36505092

Journal Information

Full Title: Virus Evol

Abbreviation: Virus Evol

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Virology

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

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4/6
66.7% Transparent
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Evidence found in paper:

"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."

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Evidence found in paper:

"Conflict of interest: None declared."

Evidence found in paper:

"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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Open Access
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Last Updated: Aug 05, 2025