Why in News?
Google DeepMind has introduced the AlphaGenome Atlas, a database that predicts the effects of every possible single-nucleotide variant (SNV) in the human genome. It uses the AlphaGenome AI model to help researchers understand how genetic changes, particularly in non-coding DNA, affect molecular processes.
Key Highlights
- The human genome contains about 3 billion base pairs, of which only around 2% codes for proteins, while much of the remaining 98% non-coding DNA is still not fully understood.
- AlphaGenome Atlas has pre-calculated the regulatory effects of around 9 billion possible single-letter genetic changes, creating a massive 1-petabyte dataset.
- The Atlas introduces the AlphaGenome Variant Impact (AVI) score, which combines predictions from coding and non-coding regions to help researchers identify potentially significant genetic variants.
- The tool has applications in studying rare genetic diseases and complex traits. Research using the Atlas has helped identify potentially important variants and uncover additional non-coding genetic associations.
About AlphaGenome
- AlphaGenome is an AI model developed by Google DeepMind for understanding how DNA sequences influence biological processes. It can analyse the effects of genetic variants across both coding and non-coding regions of the genome.
- The AlphaGenome Atlas is available through an online portal and is designed to allow researchers to explore genomic data without requiring coding skills, supporting research in genomics, disease biology and molecular biology.
