Statistical Analysis of Spike Mutation Co-Occurrence in SARS-CoV-2 (Cramér’s V & Fisher's Test on 79K Genomes)

This dataset presents co-occurrence patterns among SARS-CoV-2 spike protein mutations, based on 79,176 genome accessions analyzed using statistical association measures. Key metrics include Cramér’s V, Chi-Square Test, and Fisher’s Exact Test, enabling identification of mutation pairs with strong linkage and potential biological relevance.High-scoring mutation pairs suggest functional or evolutionary relationships such as epistasis, immune-driven selection, or lineage-defining changes. These results are crucial for ongoing surveillance, vaccine refinement, and viral dynamics research.Methods:Mutation co-occurrence was evaluated using:Cramér’s V: for strength of associationChi-Square Test: for significance in large sample sizesFisher’s Exact Test: for rare variantsUse Cases:This dataset supports mutation tracking, epistasis studies, antigenic shift monitoring, and integration into genomic surveillance systems.Attribution:Mutation data and analysis pipeline powered by GVAtlas.org.Contact:[e-mail]