mV2G: a multiomic atlas for tissue-specific variant-to-gene prioritization.

mV2G integrates 24 functional genomic evidence types across 50 human tissues to generate 3,348,174 high-confidence tissue-specific variant-to-gene pairs.

• Why it matters: Most GWAS variants lie in noncoding regions, and existing variant-to-gene resources are fragmented and often not tissue-specific, limiting mechanistic interpretation.
• What they did: The atlas compiles 188,634,118 evidence-supported V2G pairs across 13,618,039 variants and 69,521 genes, then uses a CRISPR-informed, evidence-weighted model to prioritize high-confidence pairs.
• The result: The model yields 3,348,174 prioritized pairs, with 88% tissue-specific, enabling tissue-relevant variant and gene interpretation via searchable interfaces and downloadable datasets.

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