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. 2025 Feb 24;20(2):e0319218.
doi: 10.1371/journal.pone.0319218. eCollection 2025.

SARS-CoV-2 Omicron subvariant genomic variation associations with immune evasion in Northern California: A retrospective cohort study

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SARS-CoV-2 Omicron subvariant genomic variation associations with immune evasion in Northern California: A retrospective cohort study

Joshua R Nugent et al. PLoS One. .

Abstract

Background: The possibility of association between SARS-CoV-2 genomic variation and immune evasion is not known among persons with Omicron variant SARS-CoV-2 infection.

Methods: In a retrospective cohort, using Poisson regression adjusting for sociodemographic variables and month of infection, we examined associations between individual non-lineage defining mutations and SARS-CoV-2 immunity status, defined as a) no prior recorded infection, b) not vaccinated but with at least one prior recorded infection, c) complete primary series vaccination, and/or d) primary series vaccination and ≥1 booster. We identified all non-synonymous single nucleotide polymorphisms (SNPs), insertions and deletions in SARS-CoV-2 genomes with ≥5% allelic frequency and population frequency of ≥5% and ≤95%. We also examined correlations between the presence of SNPs with each other, with subvariants, and over time.

Results: Seventy-nine mutations met inclusion criteria. Among 15,566 persons infected with Omicron SARS-CoV-2, 1,825 (12%) were unvaccinated with no prior recorded infection, 360 (2%) were unvaccinated with a recorded prior infection, 13,381 (86%) had a complete primary series vaccination, and 9,172 (58%) had at least one booster. After examining correlation between SNPs, 79 individual non-lineage defining mutations were organized into 38 groups. After correction for multiple testing, no individual SNPs or SNP groups were significantly associated with immunity status levels.

Conclusions: Genomic variation identified within SARS-CoV-2 Omicron specimens was not significantly associated with immunity status, suggesting that contribution of non-lineage defining SNPs to immune evasion is minimal. Larger-scale surveillance of SARS-CoV-2 genomes linked with clinical data can help provide information to inform future vaccine development.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Specimen subvariant proportions.
SARS-CoV-2-positive specimens tested by Kaiser Permanente Northern California, subvariant proportions by week, January 1, 2022 to October 31, 2022.
Fig 2
Fig 2. Relationships between SNP group prevalence, subvariant, and time.
SNP, group, and sublineage appearance, January 1, 2022 to October 31, 2022: (a) Proportion of specimens in each sublineage by week; (b) Proportion of specimens with a given SNP/group by week; (c) Proportion of sublineage by SNP/group (rows sum to 100%).

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References

    1. Lou F, Li M, Pang Z, Jiang L, Guan L, Tian L, et al.. Understanding the secret of SARS-CoV-2 variants of concern/interest and immune escape. Front Immunol. 2021;12:744242. doi: 10.3389/fimmu.2021.744242 PMID: - DOI - PMC - PubMed
    1. Harvey WT, Carabelli AM, Jackson B, Gupta RK, Thomson EC, Harrison EM, et al.; COVID-19 Genomics UK (COG-UK) Consortium. SARS-CoV-2 variants, spike mutations and immune escape. Nat Rev Microbiol. 2021;19(7):409–24. doi: 10.1038/s41579-021-00573-0 - DOI - PMC - PubMed
    1. Davis AC, Voelkel JL, Remmers CL, Adams JL, McGlynn EA. Comparing kaiser permanente members to the general population: implications for generalizability of research. Perm J. 2023;27(2):87–98. doi: 10.7812/TPP/22.172 - DOI - PMC - PubMed
    1. Ross TR, Ng D, Brown JS, Pardee R, Hornbrook Mark C, Hart G, et al.. The HMO research network virtual data warehouse: a public data model to support collaboration. EGEMS (Washington, DC). 2014;2(1):1049. doi: 10.13063/2327-9214.1049 PMID: - DOI - PMC - PubMed
    1. Weeks J, Pardee R. Learning to share health care data: a brief timeline of influential common data models and distributed health data networks in U.S. Health care research. EGEMS (Washington, DC). 2019;7(1):4. doi: 10.5334/egems.279 PMID: - DOI - PMC - PubMed

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