Google DeepMind Maps Every Possible DNA Change in the Human Genome

Google DeepMind Releases AlphaGenome Atlas

Google DeepMind Maps Every Possible DNA Change in the Human Genome

Google DeepMind has released AlphaGenome Atlas, a database predicting the effects of all 9 billion possible single-letter DNA changes in the human genome. Built with the AlphaGenome AI model, the 1-petabyte dataset assigns each variant an AlphaGenome Variant Impact (AVI) score, combining coding and non-coding effects. Early use at the Broad Institute helped solve a rare disease case, and analysis of UK Biobank data uncovered 22% more non-coding genetic associations, including 19 regions linked to BMI. The tool is accessible via a no-code web portal.

Our new Atlas helps scientists rapidly query this vast information.
  1. jFmDRz73

    This Google blog post is a distilled version of a Deep Mind blog post:

    https://deepmind.google/blog/alphagenome-atlas-a-predictive-...

    They are only announcing a cache. The origin for the cache is not discussed.

    In particular, the question of whether to trust the predictions is not addressed. For that, I think the citation is from January:

    https://www.nature.com/articles/s41586-025-10014-0

  2. John7878781

    People are upvoting this because it has the “Alpha______” prefix. Meanwhile, everyone in the field of genomics knows that AlphaGenome provides essentially zero improvements over the previous SOTA, Borzoi…

  3. DoctorOetker

    Not a word about promoter sequences.

    Imagine cellular activity as an industry zone, its not just what you can or can not make, its also 'for what concentrations of chemical species, what transcription rates should be used' so apart from the discrete Mendelian aspects (like what eye color or what have you) there is also a concensus sequence and deviations from consensus. They mention the dataset captures non-coding DNA, which should imply promoter sequences. Will it be possible to query the atlas for joint probabilities of promoter and putative target protein occurence in human genomes?

    Personalized medicine could never credibly take off as long as promoter sequences were excised before sequencing!

  4. leopoldj

    Videos. [2] is for the scientists to start using AlphaGenome Atlas from AntiGravity.

    1. https://www.youtube.com/watch?v=U0aToL5C-bQ

    2. https://www.youtube.com/watch?v=b2qw3rDNX0Q

  5. SubiculumCode

    Alpha Fold has continued to impact the field of protein networks, but I do hear that not every one of the deep learning biology models from Google/Deep Mind and others have made equivalent impact or had as lasting relevance in their respective domains..some have performed more poorly than other available models. I'd love to learn more about this, but this has mostly come from little snips of conversations here and there, in person and online, but I haven't seen anything comprehensive in terms of evaluating their impacts overall

  6. Stevvo

    Don't be put off by the box asking for your "affiliation". I wrote "None", clicked submit and it took me straight to the Atlas.

  7. asxndu

    I really love Deep Mind, its genuinely focused on using AI to make the world a better place.

  8. RobotToaster

    Can this be used with a 23andMe genome to find pathogenic mutations?

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2026-09-08