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June 4, 2026PNAS Nexus0 citationsOpen Access

Combinatorial analysis of clinical and genomic data used to assess the association between SARS-CoV-2 mutations and disease severity

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石石渡さおりKTKousuke TanimotoYTYukië Tanaka

Key Points

  • This research aims to evaluate the relationship between SARS-CoV-2 mutations and the severity of COVID-19 symptoms.
  • Retrospective analysis of genomic and clinical data from 310 hospitalized patients
  • Utilization of PLINK2 software for data analysis
  • Identification of severity-associated mutations in SARS-CoV-2
  • Identification of 64 statistically significant severity-associated mutations
  • Omicron variants showed less severe symptoms than Delta, yet specific mutations correlated with severe disease
  • Trends indicated by odds ratios and 95% confidence intervals suggested significant biological implications for mutations.

Abstract

Abstract Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which emerged in late 2019 and caused the COVID-19 pandemic, has undergone genomic evolution, yielding variants of concern which include the Alpha, Delta, and Omicron variants. Since the virus continues to mutate, we designed this study to assess the impact of SARS-CoV-2 mutations on severity; using PLINK2 software, we analyzed genomic and clinical data from 310 hospitalized patients at the Institute of Science Tokyo Hospital. The analysis identified 64 statistically significant severity-associated mutations. Although the Omicron variants are generally associated with less severe symptoms than the Delta variants, our approach identified statistically significant Omicron variant-specific mutations that were associated with severe disease, as well as additional mutations for which the odds ratios and 95% confidence intervals indicated a consistent trend. Our retrospective analysis of SARS-CoV-2 genomic and clinical information may help clarify the biological significance of mutations.

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Cite This Study

石渡さおり et al. (2026) studied this question.

synapsesocial.com/papers/6a2116cfd499ed480b16fc73https://doi.org/10.1093/pnasnexus/pgag191
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