On September 8, 2026, Google DeepMind released AlphaGenome Atlas, a PB-level public database containing predictions of the effects of nine billion human genome nucleotide variations. Based on the AlphaGenome model introduced last year, this platform uses pre-computed results to assign AVI scores to each variation, aiming to help researchers identify pathogenic mutations rather than relying on brute-force testing. In experiments conducted with the GREGoR Consortium, this tool successfully identified the variations affecting the gene DNM1 in epileptogenic encephalopathy and their pathogenic mechanisms. DeepMind emphasized that the current content is still predictive data and will continue to improve as the model evolves, helping scientists better understand the basics of the human body.