Large Scale Jaccard Similarity Profiling of SARS-CoV-2 Spike Mutation Patterns in 6.8 Million Global Genomes

This dataset presents a large-scale Jaccard Index analysis of spike protein mutations in over 6.8 million global SARS-CoV-2 genomes. It identifies high-confidence mutation clusters based on strong co-occurrence patterns (Jaccard Index > 0.004, minimum 100 genomes). These mutation pairs many within immunologically or structurally significant spike regions, suggest potential co-evolution, immune escape synergy, or structural compensation. The findings support genomic surveillance, early variant detection, and the rational design of vaccines and therapeutics. Acknowledgment The underlying spike mutation data used in this analysis was obtained from GVAtlas.org, an independent global variant tracking platform dedicated to inclusive genomic surveillance and mutation impact analysis. We acknowledge the significant contribution of GVAtlas in curating and providing accessible large-scale SARS-CoV-2 variant datasets that enabled this study.