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Nucleic Acids Res., Oct 28 2023, gkad958 | https://doi.org/10.1093/nar/gkad958 COV2Var, a function annotation database of SARS-CoV-2 genetic variation

Yuzhou Feng ^1,2, Jiahao Yi ³, Lin Yang ⁴, Yanfei Wang ⁵, Jianguo Wen ⁵, Weiling Zhao ⁵, Pora Kim ⁵, Xiaobo Zhou ^5,6,7

¹Department of Laboratory Medicine and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China.

²Med-X Center for Informatics, Sichuan University, Chengdu 610041, China.

³School of Big Health, Guizhou Medical University, Guiyang 550025, China.

⁴Department of Cardiology and Laboratory of Gene Therapy for Heart Diseases, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University and Collaborative Innovation Center for Biotherapy, Chengdu 610041, China.

⁵Center for Computational Systems Medicine, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.

⁶McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.

7School of Dentistry, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.

Correspondence : Pora Kim, Xiaobo Zhou

Abstract

The COVID-19 pandemic, caused by the coronavirus SARS-CoV-2, has resulted in the loss of millions of lives and severe global economic consequences. Every time SARS-CoV-2 replicates, the viruses acquire new mutations in their genomes. Mutations in SARS-CoV-2 genomes led to increased transmissibility, severe disease outcomes, evasion of the immune response, changes in clinical manifestations and reducing the efficacy of vaccines or treatments. To date, the multiple resources provide lists of detected mutations without key functional annotations. There is a lack of research examining the relationship between mutations and various factors such as disease severity, pathogenicity, patient age, patient gender, cross-species transmission, viral immune escape, immune response level, viral transmission capability, viral evolution, host adaptability, viral protein structure, viral protein function, viral protein stability and concurrent mutations. Deep understanding the relationship between mutation sites and these factors is crucial for advancing our knowledge of SARS-CoV-2 and for developing effective responses. To fill this gap, we built COV2Var, a function annotation database of SARS-CoV-2 genetic variation, available at http://biomedbdc.wchscu.cn/COV2Var/. COV2Var aims to identify common mutations in SARS-CoV-2 variants and assess their effects, providing a valuable resource for intensive functional annotations of common mutations among SARS-CoV-2 variants.

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형식Research article
게재일2023년 10월 (BRIC 등록일 2023-10-30)
연구진국외 연구진
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