AlphaGenome 2 Models Cell-Type-Specific Effects of Genetic Variants

Google DeepMind released AlphaGenome 2, a significant upgrade to its genomic AI model that can now predict how genetic variants affect gene regulation in a cell-type-specific manner — a critical step toward understanding disease mechanisms at cellular resolution. The model integrates multimodal genomic signals to decode how individual cell types read and respond to DNA differently, enabling more precise variant effect prediction than its predecessor. For researchers and developers building in computational biology, AlphaGenome 2 offers a powerful foundation model for variant interpretation tasks that previously required expensive wet-lab validation. This release is part of DeepMind's broader push to make AI a core tool in genomics and drug discovery pipelines. Teams working on health AI or bioinformatics tooling should evaluate AlphaGenome 2 as a backend for variant prioritization and functional annotation workflows.