DeepMind's Atlas Charts Genetic Mutations to Revolutionize Disease Research

Google DeepMind has developed an AI-powered database that predicts the effects of all 9 billion possible single-letter changes to human DNA. The database, called AlphaGenome Atlas, is a comprehensive map of human genetic variation and can help biologists and medical researchers understand genetic diseases and find potential cures.

The team used an AI model, AlphaGenome, which was released last year, to predict the effects of single-letter genetic mutations across a reference sample of the human genome. The database includes over 100 million insertions and deletions observed in population databases and can make predictions about gene expression, protein manufacture, and other processes.

The researchers also developed a summary metric, called the AlphaGenome Variant Impact (AVI) score, which combines predictions from AlphaGenome and another model called AlphaMissense. The AVI score helps identify the most impactful mutations in the genome and can be used to narrow down the search for potential cures.

Early testers of the database have reported promising results, including a study that used the AVI score to re-examine unsolved cases of rare genetic disorders. The researchers found that the AVI score was able to identify the causal variant in 29.5% of cases, compared to 12.5% for an existing ranking method.