Welcome to COV2var, the SARS-CoV-2 Mutation Annotation Database!



        The COVID-19 pandemic, caused by the coronavirus SARS-CoV-2, has led to millions of lost human lives and devastating economic impact worldwide. Every time SARS-COV-2 replicates, there is the potential for the virus to acquire new mutations in its genome. Most mutations are functionally neutral, appearing and disappearing randomly. However, some mutations may persist, making the virus more easily transmissible, causing more severe diseases, escaping the immune response of the body, altering clinical manifestations, and reducing the efficacy of vaccines or treatments.

        In this study, we collected over 13 million SARS-CoV-2 genome sequences, along with key contextual information associated with each sequence. These genomic sequences comprise 2,735 viral lineages submitted from 218 geographical regions and originating from 35 different hosts.

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        After the filtering process, we identified a total of 9,832 common mutations from 2,372 viral lineages. We conducted comprehensive functional annotation by integrating the sequence information and metadata of SARS-CoV-2 for a total of 9,832 common mutated sites. Our database serves as a valuable resource and reference for identifying the impact of SARS-CoV-2 mutations, offering valuable insights into SARS-CoV-2 transmissibility, immune escape, evolutionary selection, and the enhancement of disease therapy.

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Example:   Protein level: N501Y / 501      DNA level: 1501A>T / 1501      Mutation ID: V3927      Genome position: 23063

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Mutation sites on different genes

Exploring mutation sites in genes of interest within SARS-CoV-2.
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Distribution of mutations among different lineages

The distribution of virus mutations across Pango lineages.
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Impact of mutations on immune escape

Through deep mutational scanning (DMS) experiments, the impact of these mutations on viral immune escape was measured.
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Impact of mutations on viral transmissibility

Through deep mutational scanning (DMS) experiments, the impact of these mutations on the affinity between the virus's RBD and the host's ACE2 receptor was measured.
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Association between mutations and meta-information of the infected population

Differences in the distribution of mutations can be observed among infected individuals with different genders, ages, and statuses.
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Alterations in enzyme cleavage sites induced by mutations

When mutations occur, they have the potential to modify enzyme cleavage sites, either by introducing new sites or reducing existing ones.