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

The multiomic Variant-to-Gene (mV2G; https://mv2g.hbliulab.org) is a comprehensive atlas that integrates diverse functional genomic evidence to prioritize tissue-specific variant-to-gene (V2G) associations. While genome-wide association studies (GWAS) have identified millions of associations between genetic variants and diseases, translating these findings into biological mechanisms remains challenging because >90% of variants reside in noncoding regions. Existing V2G resources provide complementary regulatory evidence but are fragmented and often lack tissue-specific interpretation. To address this challenge, we constructed the mV2G atlas by integrating 24 types of functional genomic evidence across 50 human tissues, including molecular quantitative trait loci, enhancer-gene predictions, 3D chromatin interactions, and experimental validation. The atlas contains 188 634 118 evidence-supported V2G pairs involving 13 618 039 variants and 69 521 genes. To prioritize high-confidence V2G pairs, we developed a CRISPR-informed, evidence-weighted model. Using this model, we prioritized 3 348 174 high-confidence V2G pairs, 88% of which were tissue-specific. The mV2G atlas provides searchable variant- and gene-centered interfaces, an interactive browser for visualizing variants, target genes, cis-regulatory elements, and chromatin states, as well as downloadable datasets. By integrating complementary regulatory evidence into a unified framework, mV2G provides an accessible resource for interpreting the functional and phenotypic impact of genomic variation in relevant tissues for human diseases.