Google DeepMind Releases AlphaGenome Atlas: Precomputed Molecular Effect Predictions and AVI Scores for All 9 Billion Single-Letter DNA Changes in the Human Genome.

No lab assay. No per-variant model run. No coding required to query it.

Here is how it works:

1. Precompute instead of predict on demand AlphaGenome was run across every possible single-nucleotide variant in the human genome and the outputs were stored. Researchers now look up a variant instead of running a model on it.
→ 9 billion variants scored
→ 1 petabyte dataset, over 30x the size of the AlphaFold Database

2. One score for coding and non-coding DNA The AlphaGenome Variant Impact (AVI) score folds AlphaGenome's regulatory predictions together with AlphaMissense's protein-impact predictions into a single rankable number.
→ Works across the 2% coding genome and the 98% non-coding genome
→ DeepMind reports best-in-class results on variant pathogenicity and rare disease benchmarks

3. The score is decomposed, not opaque Each AVI score splits into additive feature attributions across categories like chromatin accessibility, splicing, and conservation, so you see which process a variant is predicted to disrupt.
→ Paired with a compendium of 2,500+ recurrent DNA motifs and their locations

4. Rare disease result At the Broad Institute, the AVI score reprioritized variants that earlier analyses had missed and surfaced one in DNM1, a gene linked to epileptic encephalopathy. The prediction: an incorrect splice site extending the protein.
→ Experimental screens validated it and found nearby variants with similar effects....

Full analysis: https://marktechpost.com/2026/09/08/google-deepmind-releases-alphagenome-atlas-with-precomputed-molecular-effect-predictions-and-avi-scores-for-9-billion-human-dna-variants/

Paper: https://storage.googleapis.com/deepmind-media/DeepMind.com/Blog/alphagenome-atlas-a-predictive-map-of-every-possible-dna-letter-change-in-the-human-genome/alphagenome-atlas.pdf

Technical details: https://deepmind.google/blog/alphagenome-atlas-a-predictive-map-of-every-possible-dna-letter-change-in-the-human-genome/