DeepMind's AlphaGenomeAtlas computes all 9 billion single-base human genome mutations into a 1PB searchable database
新智元 · wechat · 2026-09-09
Google DeepMind has released AlphaGenomeAtlas, a searchable genome-wide prediction database that exhaustively computed all 9 billion potential single-base mutations in the human genome, with 27,000 prediction metrics per variant — over 240 trillion values totaling 1PB, 30x the AlphaFold database.
- Cracking the non-coding 98%: Most disease-associated variants sit in non-coding regions. Atlas combines AlphaGenome and AlphaMissense into a unified AVI pathogenicity score, with explainable attribution (splicing, chromatin, gene expression).
- 285 years compressed: At one second per variant, exhaustive computation would take 285 years; the team sped up the pipeline 80x and turned it into a static lookup table, queryable instantly in a browser with no code or GPUs.
- Real-world wins: Broad Institute researchers used it to solve a previously unsolved infant epilepsy case — ranking a G>A variant in a DNM1 intron first and predicting a cryptic splice site, later confirmed by wet-lab experiments. An analysis of 54,000 UK Biobank participants uncovered 22% more non-coding genetic associations.
- Atlas is also available as an agent skill on Google's Antigravity platform, extending DeepMind's run from protein structures to whole-genome variant mapping.
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