biostudies-literatureLi DNHGRI NIH HHSNIHNIH HHSD1437-D1445https://www.ebi.ac.uk/biostudies/studies/S-EPMC12807646biostudies-literatureUnknown54(D1)Genomic variation between individuals is essential for understanding how differences in the genome sequence affect molecular and cellular processes. The Impact of Genomic Variation on Function (IGVF) Consortium aims to uncover the relationships among genomic variation, genome function, and phenotypes by combining experimental techniques, such as single-cell mapping and genomic perturbation assays, with computational approaches such as machine learning-based predictive modeling. The IGVF Data and Administrative Coordinating Centers collect, analyze, and disseminate data and results from across the consortium through an open-source platform called the IGVF Catalog. This resource includes, but is not limited to, data on the effects of coding variants on protein abundance and function, noncodiNucleic acids researchThe IGVF catalog-from genetic variation to function.PMC12807646UM1 HG012053U24 HG012070UM1HG011989UM1 HG012010U01 HG012009UM1 HG011966U01 HG012047U01HG011967UM1 HG011969U01 HG011952U01HG012059UM1HG012003U01 HG012041UM1HG011996U01HG012051U24HG012070U01 HG011967UM1 HG011972U01HG012009UM1HG012053U01HG011952UM1HG012010U01 HG012059U01HG012047U01HG012041U01 HG012051UM1HG011966UM1HG011969UM1 HG012077UM1 HG012076U24 HG012012UM1 HG011986U01 HG012069UM1 HG011989U01 HG012022U01HG012039U01 HG012103U01HG012079UM1HG011972U01 HG012064UM1 HG012003UM1 HG011996U01 HG012079U01 HG012039UM1HG012077UM1HG012076U01HG012103U01HG012069U24HG012012U01HG012022U01HG012064UM1HG011986Gerstein MLiu JBergquist TKagda MSverchkov YZeiberg DLiu SLiu TDong SPejaver VWhaling IHitz BCYue FWang TDey KKReddy TEChen YLove MIStarita LMEngreitz JMMacias-Velasco JFMontgomery MTJain SCalderwood MACastro CPLi DAssis PRGersbach CARozowsky JAntonacci-Fulton LLi MJolanki OZhang WBoyle APNzima MZFowler DMCraven MSinha RCody SHuang YCherry JMRadivojac PSherpa RNMajoros WHMa JAhituv NCai XfalseThe IGVF catalog-from genetic variation to function.Genomic variation between individuals is essential for understanding how differences in the genome sequence affect molecular and cellular processes. The Impact of Genomic Variation on Function (IGVF) Consortium aims to uncover the relationships among genomic variation, genome function, and phenotypes by combining experimental techniques, such as single-cell mapping and genomic perturbation assays, with computational approaches such as machine learning-based predictive modeling. The IGVF Data and Administrative Coordinating Centers collect, analyze, and disseminate data and results from across the consortium through an open-source platform called the IGVF Catalog. This resource includes, but is not limited to, data on the effects of coding variants on protein abundance and function, noncodi2026-01-01T00:00:00Z2026 Jan2026-05-31T03:15:22.137Z2026-05-31T03:10:11.574ZS-EPMC128076464135912110.1093/nar/gkaf1341