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Rachel V Thomas

Google DeepMind’s AlphaGenome Atlas Maps 9 Billion Mutations, Unlocking Genetics and Rare Diseases

Google DeepMind has launched AlphaGenome Atlas, an AI-powered database that maps the predicted effects of all 9 billion possible single-letter changes in the human genome.

The novel tool could help scientists identify genetic changes linked to rare diseases, understand how mutations affect gene function and uncover new clues about human health and disease.

AlphaGenome Atlas: Explore DNA We Don’t Understand

Scientists have a strong understanding of the roughly 2% of the genome that codes for proteins. But interpreting mutations in the remaining 98% of non-coding regulatory DNA has been much more difficult.

Changes in these regions can disrupt how genes are regulated and affect cellular functions. By pre-computing the predicted effects of billions of genetic variations, AlphaGenome Atlas aims to give researchers a map for navigating this largely unexplored part of the genome.

The resource could help researchers investigate unsolved rare diseases, uncover biological mechanisms behind common illnesses and support drug discovery.

One Score to Help Researchers Prioritise Variants

The Atlas introduces the AlphaGenome Variant Impact (AVI) score, a single score that combines predictions for genetic effects across coding and non-coding regions.

This allows researchers to prioritise potentially important variants without having to sift through thousands of individual data points.

Each AVI score is also linked to the biological features contributing to the prediction, including aspects of gene regulation predicted by AlphaGenome and protein-impact information from AlphaMissense.

AlphaGenome Atlas contains predictions for the effects of 9 billion single-nucleotide variants in the human genome.

The dataset is about 1 petabyte in size, making it more than 30 times larger than the previous AlphaFold Database.

The Atlas brings together several resources, including:

<ul><li>Molecular effect predictions: Thousands of predictions for each variant across multiple aspects of gene regulation, covering hundreds of human and mouse cell types and tissues.</li><li>AVI score: A single score indicating the predicted impact of each genetic variant.</li><li>AVI feature attributions: Information showing the biological features driving each AVI score.</li><li>DNA sequence motifs: A collection of more than 2,500 recurrent DNA sequences and their locations in the genome.</li></ul>

One of the biggest challenges in rare disease research is identifying the few potentially causal variants among thousands of genetic changes.

Researchers at the Broad Institute, working with the GREGoR Consortium, used the AVI score to prioritise variants in unsolved rare disease cases

and identified a variant affecting the DNM1 gene, which is strongly linked to epileptic encephalopathy.  

AlphaGenome Atlas is also being used to study rare, non-coding variants linked to complex traits, where the large number of harmless genetic changes can create substantial statistical noise.

Researchers at the University of Exeter applied the Atlas to identify 22% more non-coding genetic associations.

Among the top 1% of variants predicted to have the greatest impact, the analysis identified 19 genetic regions linked to body mass index (BMI), helping direct further targeted research.

AlphaGenome Atlas Is Free for Academic Research

Google DeepMind said AlphaGenome Atlas is being made free to the scientific community for academic research, with the aim of opening new pathways for genetic and biomedical discovery.

The company described it as a comprehensive catalogue of how genetic mutations are predicted to affect molecular biology, covering every possible single-letter genetic change across the human genome.

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Google DeepMind’s AlphaGenome Atlas Maps 9 Billion Mutations in Human Genome; To Reveal Genetics, Rare Disease Clues

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Google DeepMind has launched AlphaGenome Atlas, an AI-powered database that maps the predicted effects of all 9 billion possible single-letter changes in the human genome. The novel tool could help scientists identify genetic changes linked to rare diseases, understand how mutations affect gene function and uncover new clues about human health and disease. AlphaGenome Atlas: Explore DNA We Don’t UnderstandScientists have a strong understanding of the roughly 2% of the genome that codes for proteins. But interpreting mutations in the remaining 98% of non-coding regulatory DNA has been much more difficult.Changes in these regions can disrupt how genes are regulated and affect cellular functions. By pre-computing the predicted effects of billions of genetic variations, AlphaGenome Atlas aims to give researchers a map for navigating this largely unexplored part of the genome.The resource could help researchers investigate unsolved rare diseases, uncover biological mechanisms behind common illnesses and support drug discovery.One Score to Help Researchers Prioritise VariantsThe Atlas introduces the AlphaGenome Variant Impact (AVI) score, a single score that combines predictions for genetic effects across coding and non-coding regions.This allows researchers to prioritise potentially important variants without having to sift through thousands of individual data points.Each AVI score is also linked to the biological features contributing to the prediction, including aspects of gene regulation predicted by AlphaGenome and protein-impact information from AlphaMissense.A Genetic DatabaseAlphaGenome Atlas contains predictions for the effects of 9 billion single-nucleotide variants in the human genome.The dataset is about 1 petabyte in size, making it more than 30 times larger than the previous AlphaFold Database.The Atlas brings together several resources, including:Molecular effect predictions: Thousands of predictions for each variant across multiple aspects of gene regulation, covering hundreds of human and mouse cell types and tissues.AVI score: A single score indicating the predicted impact of each genetic variant.AVI feature attributions: Information showing the biological features driving each AVI score.DNA sequence motifs: A collection of more than 2,500 recurrent DNA sequences and their locations in the genome.Helping Solve Rare Genetic DiseasesOne of the biggest challenges in rare disease research is identifying the few potentially causal variants among thousands of genetic changes.Researchers at the Broad Institute, working with the GREGoR Consortium, used the AVI score to prioritise variants in unsolved rare disease casesand identified a variant affecting the DNM1 gene, which is strongly linked to epileptic encephalopathy.  Finding Genetic Links to Complex TraitsAlphaGenome Atlas is also being used to study rare, non-coding variants linked to complex traits, where the large number of harmless genetic changes can create substantial statistical noise.Researchers at the University of Exeter applied the Atlas to identify 22% more non-coding genetic associations.Among the top 1% of variants predicted to have the greatest impact, the analysis identified 19 genetic regions linked to body mass index (BMI), helping direct further targeted research.AlphaGenome Atlas Is Free for Academic ResearchGoogle DeepMind said AlphaGenome Atlas is being made free to the scientific community for academic research, with the aim of opening new pathways for genetic and biomedical discovery.The company described it as a comprehensive catalogue of how genetic mutations are predicted to affect molecular biology, covering every possible single-letter genetic change across the human genome.

google deepmind’s alphagenome atlas maps 9 billion mutations, unlocking genetics and rare diseases

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