2026-06-15 東京科学大学
図1. 本研究で重症度との関連が示された変異
＜関連情報＞
- https://www.isct.ac.jp/ja/news/wbaw9jbr23fp
- https://academic.oup.com/pnasnexus/article/5/6/pgag191/8700064
SARS-CoV-2変異と疾患重症度との関連性を評価するために使用された臨床データとゲノムデータの組み合わせ解析 Combinatorial analysis of clinical and genomic data used to assess the association between SARS-CoV-2 mutations and disease severity
Saori Ishiwatari,Kousuke Tanimoto,Yukie Tanaka,Chihiro Tani-Sassa,Yuta Takahashi,Kazunari Sonobe,Shuji Tohda,Sayaka Sukegawa,Akinori Kimura,Yoshiaki Gu,…
PNAS Nexus Published:02 June 2026
DOI:https://doi.org/10.1093/pnasnexus/pgag191
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which emerged in late 2019 and caused the coronavirus disease 2019 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% CIs indicated a consistent trend. Our retrospective analysis of SARS-CoV-2 genomic and clinical information may help clarify the biological significance of mutations.
