AlphaGenome Atlas predicts the effect of all ~9 billion possible single-letter human DNA variants
On 8 Sep 2026 DeepMind released AlphaGenome Atlas: predictions for all ~9 billion possible single-nucleotide variants in the human genome (~1 PB of data). A new variant-impact score reportedly 'more than doubles' rare-disease variant identification versus the previous standard, and collaborators experimentally confirmed variants in unsolved rare-disease cases.
Key facts
- ~9 billion variants, ~1 petabyte of predictions
- New AVI score: 'more than doubles' rare-disease variant identification (company claim)
- Collaborators verified variants in previously unsolved rare-disease cases
Science result
- Field
- medicine / rare-disease genetics
- Problem
- Diagnosing rare diseases caused by non-coding variants
- Result
- Genome-wide variant-effect atlas with claimed doubling of rare-disease variant identification.
- AI system
- AlphaGenome
- Human role
- Human-designed; clinical collaborators validated cases
- Verification
- Technical paper; company-reported benchmarks; some cases lab-validated
- Status
- pending
What happened
DeepMind pre-computed AlphaGenome predictions for every possible single-letter change in the human genome and released them as an atlas for clinicians and researchers.
Why it matters
Like the AlphaFold database for proteins, it turns a model into a lookup resource that could speed up rare-disease diagnosis.
Changelog
- 2026-09-29: created
Related events
- AlphaGenome predicts how DNA variants affect thousands of gene-regulation signals from 1 Mb of sequence ★★★
- AlphaMissense classifies 89% of all 71 million possible human missense mutations ★★★
Sources (2)
- pressFortune: Google DeepMind AI predictions for 9 billion mutations in the human genome
- officialDeepMind: AlphaGenome
id: 2026-09-08-alphagenome-atlas · updated 2026-09-29 · open in the interactive timeline