AlphaGenome Atlas predicts the effect of all ~9 billion possible single-letter human DNA variants
Awaiting review
The takeaway
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).
Status
- Claim
Awaiting review
- Our reporting
- Medium confidence
- Verification
- Unverified claim
- Importance
- 3 of 5
- Last verified
- 30 September 2026
Your AI and this story
- GPT-6 Astra131 days after its cutoff
- Claude Opus 5.570 days after its cutoff
- Gemini 4 Hydrogen161 days after its cutoff
- Grok 4.7100 days after its cutoff
None of these four assistants can know about it. The closest, Claude Opus 5.5, stops 70 days before it.
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
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.
What is disputed or not yet verified
| Verification | Technical paper; company-reported benchmarks; some cases lab-validated |
|---|
Sources
4 sources from 3 sites. Numbers match the chips in the text.
4 sources: 3 primary, 1 press
Primary
- DeepMind: AlphaGenomedeepmind.google, official
- Google DeepMind: AlphaGenome Atlas: a predictive map of every possible DNA letter change in the human genomedeepmind.google, official
- Google blog: AlphaGenome Atlasblog.google, official
Press
Changes
- Added official DeepMind and Google blog announcement links
- Filed
