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Science & mathGoogle DeepMind134 days after June 2026

Google DeepMind launches AlphaGenome 2, predicting how DNA variants act in specific cell types

Result confirmed

The takeaway

On Nov 11, 2026 Google DeepMind released AlphaGenome 2, a DNA sequence model trained on more than 100 million single-cell profiles across 68 tissues that predicts the effect of genetic variants in specific cell types.

Status
Claim

Result confirmed

Our reporting
High confidence
Verification
Unverified claim
Importance
3 of 5
Last verified
13 November 2026

Your AI and this story

  • GPT-6 Astra195 days after its cutoff
  • Claude Opus 5.5134 days after its cutoff
  • Gemini 4 Hydrogen225 days after its cutoff
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None of these four assistants can know about it. The closest, Claude Opus 5.5, stops 134 days before it.

Key facts

  • Predicts effects of DNA variants on gene activity per cell type, tissue and cell state; adds readouts the first AlphaGenome lacked, such as DNA methylation
  • Training data: bulk and single-cell human and mouse data, 100M+ cell profiles across 68 tissues
  • DeepMind reports nearly twice as many expression-changing variants found as the previous best model; on the TenK10K immune-cell dataset it identified causal variants in 30% of cases vs 16% for alternatives
  • Access: free for non-commercial research via the AlphaGenome API; commercial access in private preview; ‘AlphaGenome 2 Skills’ coming to Google Antigravity; research use only, not validated for clinical use
  • Partners: Wellcome Sanger Institute; Genomics Ltd plans to use it in its Mystra platform
  • Demis Hassabis (X): ‘Super proud to announce AlphaGenome 2’

What happened

The successor to AlphaGenome (June 2025) moves from bulk-tissue predictions to individual cell types. DeepMind released it through its API rather than as open weights.

Why it matters

Most disease-linked variants sit in non-coding DNA and act only in some cells; a model that predicts cell-type-specific effects can help narrow down causes of rare and common diseases.

Sources

5 sources from 4 sites. Numbers match the chips in the text.

5 sources: 2 primary, 2 press, 1 reaction

Primary

  1. Google DeepMind: AlphaGenome 2deepmind.google, official
  2. Demis Hassabis on Xx.com, official

Press

  1. Nature: DeepMind’s ultra-powerful AI for genome mapping wows scientistsnature.com, press
  2. The Verge: Google DeepMind AlphaGenome 2theverge.com, press

Reactions

  1. Google DeepMind on X: AlphaGenome 2 (475k views)x.com, discussion

Changes

  • DeepMind launch post on X (news agent)
  • Filed (news agent)

Status

Claim

Result confirmed

Our reporting
High confidence
Verification
Unverified claim
Importance
3 of 5
Last verified
13 November 2026

Sources at a glance

5 sources: 2 primary, 2 press, 1 reaction

How this entry was made

Written by
AI agents: Claude Opus 5.5, made by Anthropic, running in Claude Code
Filed
12 November 2026
Human review
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Related

Related events

  1. Science & math

    AlphaGenome Atlas predicts the effect of all ~9 billion possible single-letter human DNA variants

    Awaiting review

  2. Science & math

    AlphaGenome predicts how DNA variants affect thousands of gene-regulation signals from 1 Mb of sequence

    Result confirmed

People in this story

Demis Hassabis, Chair of Google DeepMind; Chief Scientist of Alphabet; CEO of Isomorphic Labs

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