Genome-wide association study between SARS-CoV-2 single nucleotide polymorphisms and virus copies during infections

Significant variations have been observed in viral copies generated during SARS-CoV-2 infections. However, the factors that impact viral copies and infection dynamics are not fully understood, and may be inherently dependent upon different viral and host factors. Here, we conducted virus whole genome sequencing and measured viral copies using RT-qPCR from 9,902 SARS-CoV-2 infections over a 2-year period to examine the impact of virus genetic variation on changes in viral copies adjusted for host age and vaccination status. Using a genome-wide association study (GWAS) approach, we identified multiple single-nucleotide polymorphisms (SNPs) corresponding to amino acid changes in the SARS-CoV-2 genome associated with variations in viral copies. We further applied a marginal epistasis test to detect interactions among SNPs and identified multiple pairs of substitutions located in the spike gene that have non-linear effects on viral copies. We also analyzed the temporal patterns and found that SNPs associated with increased viral copies were predominantly observed in Delta and Omicron BA.2/BA.4/BA.5/XBB infections, whereas those associated with decreased viral copies were only observed in infections with Omicron BA.1 variants. Our work showcases how GWAS can be a useful tool for probing phenotypes related to SNPs in viral genomes that are worth further exploration. We argue that this approach can be used more broadly across pathogens to characterize emerging variants and monitor therapeutic interventions.

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Publication Details

Journal
PLoS Computational Biology
Published
2024-09-17
DOI
https://doi.org/10.1371/journal.pcbi.1012469
Citations
2
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
0.78

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article

Genome-wide association study between SARS-CoV-2 single nucleotide polymorphisms and virus copies during infections

Nathan D. Grubaugh, Wade L. Schulz, Julian Stamp, Yi Ting Chew et al.
2 citations
PLoS Computational Biology
SARS-CoV-2 and COVID-19 Research
0.78
article

Genome-wide association study between SARS-CoV-2 single nucleotide polymorphisms and virus copies during infections

Nathan D. Grubaugh, Wade L. Schulz, Julian Stamp, Yi Ting Chew, Lorin Crawford, Chrispin Chaguza, Sameer Pandya, David Ferguson, Daniel M. Weinberger, Nicholas F. G. Chen, Anne M. Hahn, C. Brandon Ogbunugafor, Virginia E. Pitzer, Ke Li, Nick Kerantzas
article en
2 citations

Abstract

Significant variations have been observed in viral copies generated during SARS-CoV-2 infections. However, the factors that impact viral copies and infection dynamics are not fully understood, and may be inherently dependent upon different viral and host factors. Here, we conducted virus whole genome sequencing and measured viral copies using RT-qPCR from 9,902 SARS-CoV-2 infections over a 2-year period to examine the impact of virus genetic variation on changes in viral copies adjusted for host age and vaccination status. Using a genome-wide association study (GWAS) approach, we identified multiple single-nucleotide polymorphisms (SNPs) corresponding to amino acid changes in the SARS-CoV-2 genome associated with variations in viral copies. We further applied a marginal epistasis test to detect interactions among SNPs and identified multiple pairs of substitutions located in the spike gene that have non-linear effects on viral copies. We also analyzed the temporal patterns and found that SNPs associated with increased viral copies were predominantly observed in Delta and Omicron BA.2/BA.4/BA.5/XBB infections, whereas those associated with decreased viral copies were only observed in infections with Omicron BA.1 variants. Our work showcases how GWAS can be a useful tool for probing phenotypes related to SNPs in viral genomes that are worth further exploration. We argue that this approach can be used more broadly across pathogens to characterize emerging variants and monitor therapeutic interventions.

PLoS Computational BiologyVol. 20(9)
Microsoft (United States) (US), Santa Fe Institute (US), Brown University (US), Yale University (US)
Pfizer, Yale University, Centers for Disease Control and Prevention
Good health and well-being
Openalex Percentile: Top 28%
SARS-CoV-2 and COVID-19 Research
0.78
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