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 <b>Cramér’s V</b>, <b>Chi-Square Test</b>, and <b>Fisher’s Exact Test</b>, 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.<b>Methods:</b><br>Mutation co-occurrence was evaluated using:<b>Cramér’s V</b>: for strength of association<b>Chi-Square Test</b>: for significance in large sample sizes<b>Fisher’s Exact Test</b>: for rare variants<b>Use Cases:</b><br>This dataset supports mutation tracking, epistasis studies, antigenic shift monitoring, and integration into genomic surveillance systems.<b>Attribution:</b><br>Mutation data and analysis pipeline powered by <b>GVAtlas.org</b>.<b>Contact:</b><br>[e-mail]