Google DeepMind releases AI database predicting effects of 9 billion DNA mutations

Google DeepMind has developed the AlphaGenome Atlas, a database that predicts the biological consequences of all possible single-letter mutations in human DNA, making it available for free to academic researchers.

The Atlas allows researchers to access a comprehensive map of human genetic variation, significantly speeding up the understanding of genetic diseases and the search for cures. It was built using an AI model called AlphaGenome, which predicts the effects of single-letter genetic mutations across various cell and tissue types.

Each mutation in the Atlas is linked to approximately 27,000 predictions regarding its impact on gene expression and protein production. The database also includes a summary metric called the AlphaGenome Variant Impact (AVI) score, which ranks mutations based on their predicted effects.

DeepMind's research indicates that the Atlas can help interpret mutations in the non-coding regions of DNA, which govern gene regulation but are harder to analyze. Early testers have reported promising results, with the Atlas aiding in the identification of pathogenic variants in genetic disorders.

While the Atlas provides valuable predictions, DeepMind emphasizes that these should not replace laboratory experiments, as the model may not accurately predict all mutation effects. The tool is intended to complement existing research methods and enhance the understanding of genetic variations.