# Conditional cell-type model

AlphaGenome 2 moves prediction of DNA variant effects from bulk-tissue averages down to specific cell types and cell states, recasting the model as a conditional one that takes a target biological condition as input. On the TenK10K single-cell map of 28 primary immune cell types, it identified 30% of causal variants versus 16% for the original AlphaGenome fine-tuned on single-cell data, and 43% versus 23% for directional gene effects. Trained on more than 107 million individual cell profiles across 68 tissues, it is available through the AlphaGenome API for non-commercial research.

AlphaGenome 2 moves prediction of DNA variant effects from bulk-tissue averages down to specific cell types and cell states, recasting the model as a conditional one that takes a target biological condition as input. On the TenK10K single-cell map of 28 primary immune cell types, it identified 30% of causal variants versus 16% for the original AlphaGenome fine-tuned on single-cell data, and 43% versus 23% for directional gene effects. Trained on more than 107 million individual cell profiles across 68 tissues, it is available through the AlphaGenome API for non-commercial research.