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Here we present AlphaGenome Atlas, a comprehensive resource that enables the joint interpretation and prioritization of variant effects across the entire human genome. Using AlphaGenome, we predicted the regulatory effects across thousands of molecular phenotypes for every possible human single nucleotide variant and many observed indels. These predictions were then used to derive a unified and interpretable AlphaGenome Variant Impact (AVI) score and to map cis-regulatory motifs across the genome. AVI achieved state-of-the-art performance across diverse benchmarks with improved prioritization of deleterious non-coding variants. Application of the combined Atlas resource helped solve an epileptic encephalopathy rare disease case, increased the statistical power to detect rare non-coding variants driving population-level phenotypes, and enhanced the mechanistic interpretation of these variants. Thus, AlphaGenome Atlas improves the prioritization and molecular interpretation of non-coding variants with genetic and clinical significance.<\/jats:p>","DOI":"10.64898\/2026.09.16.26363192","type":"posted-content","created":{"date-parts":[[2026,9,20]],"date-time":"2026-09-20T22:30:14Z","timestamp":1789943414000},"source":"Crossref","is-referenced-by-count":9,"title":["AlphaGenome Atlas:\n                  <i>in silico<\/i>\n                  mutagenesis of the entire human genome improves prioritization and interpretation of non-coding variants"],"prefix":"10.64898","author":[{"name":"Lead authors:","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5573-9791","authenticated-orcid":false,"given":"Jun","family":"Cheng","sequence":"additional","affiliation":[{"name":"Google DeepMind; London, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4586-8300","authenticated-orcid":false,"given":"Kyle R.","family":"Taylor","sequence":"additional","affiliation":[{"name":"Google DeepMind; 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