Amazing stuff! Very impressive! This should significantly speed up genomic research around the world!
"Google DeepMind released AlphaGenome Atlas, a database of precomputed predictions for the molecular effects of all 9 billion possible single-letter DNA variants in the human genome.
The dataset is 1 petabyte in size, more than 30 times larger than the AlphaFold Database, and is built by running the AlphaGenome model at scale across the genome.
It ships with a new AlphaGenome Variant Impact (AVI) score that combines AlphaGenome with AlphaMissense to rank both coding and non-coding variants by likely impact, plus a catalogue of over 2,500 recurring DNA sequence motifs.
The Atlas is free for academic use via a web portal, the AlphaGenome API, and as a skill in Google Antigravity, with commercial access coming later on Google Cloud.
External collaborators have already used the Atlas to identify a disease-causing DNM1 variant and to uncover 22 percent more non-coding genetic associations in UK Biobank data. This gives researchers a precomputed shortcut to variant-impact predictions instead of running AlphaGenome themselves for every query, though DeepMind stresses it is not validated for clinical use."
"... By precomputing AlphaGenome’s predictions at scale, we have created an easily accessible resource that vastly expands the [AlphaGenome] model's reach. Just as an atlas is a collection of maps, linking together features of the land like altitude and location, AlphaGenome Atlas charts the molecular effects of DNA variants across the genome. ...
AlphaGenome Atlas provides several powerful, interconnected resources, allowing researchers to link variants directly to the functional DNA sequences they disrupt.
- Molecular effect predictions Atlas contains thousands of molecular effect predictions for each variant, across multiple important aspects of gene regulation, spanning hundreds of human and mouse cell types and tissues. This serves as the starting point for further resources.
- AVI score A single number describing the impact for each genetic variant.
- AVI feature attributions Each AVI score is also linked to distinct biological features driving it, such as the aspects of gene regulation predicted by AlphaGenome or the protein impact score from AlphaMissense.
- DNA sequence motifs A comprehensive collection of over 2,500 recurrent DNA sequences — the "words" of the genome — and their locations.
..."
"... “This represents the first time that any researcher in the world can access a comprehensive map of the human genome and its variations by simply opening a browser,” ..."
From the abstract:
"A major challenge in genomics is deciphering the functional consequences of non-coding genetic variation.
Here we present AlphaGenome Atlas, a comprehensive resource that enables the joint interpretation and prioritization of variant effects across the entire human genome.
Using AlphaGenome, we predicted the regulatory effects across thousands of molecular phenotypes for every possible human single nucleotide variant and many observed indels. These predictions were then used to derive a unified and interpretable AlphaGenome Variant Impact (AVI) score and to map cis-regulatory motifs across the genome. AVI achieved state-of-the-art performance across diverse benchmarks with improved prioritization of deleterious noncoding variants. Application of the combined Atlas resource helped solve an epileptic encephalopathy rare disease case, increased the statistical power to detect rare non-coding variants driving population-level phenotypes, and enhanced the mechanistic interpretation of these variants.
Thus, AlphaGenome Atlas improves the prioritization and molecular interpretation of non-coding variants with genetic and clinical significance."
New Google DeepMind atlas could transform our understanding of genetic diseases "AlphaGenome Atlas predicts the effect of any single change in the fundamental structure of DNA"
AlphaGenome Atlas: A predictive map of every possible DNA letter change in the human genome "How predicting the molecular impact of every possible single-letter DNA variant in the human genome will help accelerate our understanding of biology."
AlphaGenome Atlas: in silico mutagenesis of the entire human genome improves prioritization and interpretation of non-coding variants (research paper, open access, 83 pages)
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