Google DeepMind's AlphaGenome 2 Improves DNA Variant Detection
Every cell in your body carries the same DNA blueprint, yet a gut macrophage reacts to genetic glitches completely differently than a heart muscle cell.
Google DeepMind announced AlphaGenome 2 on Nov. 11, introducing a DNA analysis model that predicts how genetic variations influence individual cell types and states.
Trained on more than 107 million single-cell profiles across 68 tissues, the model nearly doubled its predecessor’s performance on a benchmark for identifying disease-linked causal variants, according to the company.
The improvement could help researchers narrow down genetic drivers of disease and identify promising drug targets before moving into costly laboratory experiments.
The original AlphaGenome, previewed in June 2025 and published in Nature in January 2026, predicted molecular activity across thousands of tissue experiments simultaneously, an approach DeepMind said “spread the model’s capacity thin.” AlphaGenome 2 replaces that parallel design with a conditional architecture.
It takes up to one million DNA...
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