Google DeepMind Releases AlphaGenome Atlas With Precomputed Molecular Effect Predictions and AVI Scores for 9 Billion Human DNA Variants
Google DeepMind has released AlphaGenome Atlas, a catalogue of precomputed predictions for the molecular effects of every possible single-nucleotide variant in the human genome. That is roughly 9 billion single-letter changes. The release also introduces the AlphaGenome Variant Impact (AVI) score, a single number that ranks variants by predicted impact, plus per-variant feature attributions and a genome-wide motif collection. The resource ships as a free web portal for academic use, through the
Google DeepMind has released AlphaGenome Atlas, a database containing precomputed predictions for how roughly 9 billion single-letter changes in human DNA affect molecular processes like gene expression and RNA splicing. The release introduces the AlphaGenome Variant Impact score, which ranks DNA variants by their predicted biological impact and breaks down which specific processes each variant disrupts. This matters because testing billions of mutations in laboratories is not feasible, and running predictions on demand is too slow for large-scale genetic studies, so a precomputed lookup table removes both bottlenecks. Early collaborators have used the Atlas to identify disease-associated variants that previous analyses missed and to discover 22 percent more regulatory variants than standard methods in a study of over 54,000 genomes.
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