Google DeepMind releases AI model to analyze 9 billion DNA changes

Google DeepMind has released a database that could meaningfully change how scientists study genetic disease. The AlphaGenome Atlas, launched on September 8, maps the predicted molecular effects of roughly 9 billion possible single-nucleotide changes across the human genome, making one of genomics’ most computationally expensive problems into a free lookup table. What DeepMind actually built The Atlas is built on top of AlphaGenome, an AI model DeepMind developed in 2025 to analyze long DNA sequences and predict multiple molecular outcomes simultaneously. That was already a step beyond most existing tools, which tend to focus narrowly on one type of molecular effect at a time. The new Atlas takes those predictive capabilities and precomputes them at genome-wide scale. At 1 petabyte, it is roughly 30 times larger than the AlphaFold database, which itself redefined structural biology when it catalogued the predicted 3D shapes of hundreds of millions of proteins. The database covers single-nucleotide variants, the most common form of genetic variation in humans. To help prioritize them, the Atlas includes what DeepMind is calling the AlphaGenome Variant Impact (AVI) score. The score ra...