Google DeepMind releases AlphaGenome 2 for cell-type-specific variant effect prediction

Google DeepMind released AlphaGenome 2, a conditional sequence-to-function DNA model that reads a 1 Mb DNA window plus a target cell state and predicts variant effects for one cell type per call. On TenK10K single-cell eQTLs across 28 immune cell types, causal variant recall at 90% precision rose from 16% for fine-tuned AlphaGenome 1 to 30%, and direction-of-effect recall rose from 23% to 43%. The model is available through the AlphaGenome API for non-commercial research, with weights promised upon final publication and commercial use in private preview.