AlphaGenome 2: Deciphering how cells read DNA to better understand disease

Wire brief

According to public reporting via Google DeepMind Blog, predicting how DNA sequences and their variations impact specific human cell types and disease.

In related context, november 11, 2026 Science Adam Gayoso, Natasha Latysheva, Pushmeet Kohli and Žiga Avsec Read the paper Share Our next-generation DNA sequence model bridges single-cell biology and human genetics, predicting how genetic variants affect hundreds of human cell types. Today, we are announcing AlphaGenome 2, our next-generation model that predicts how DNA sequences and their variations impact specific human cell types, giving scientists a powerful new tool to uncover the cellular drivers of disease. Cells are the building blocks of life.

Reporting also notes that every cell in our body carries the same DNA blueprint, yet each cell type and state—like a heart muscle cell or an immune cell fighting an infection—switches different genes on or off to do its job. Global efforts like the Human Cell Atlas are mapping this gene expression for millions of cells, but it is still an unsolved challenge to predict how subtle DNA variations affect this expression in cells, which is a key driver of human traits and disease. Last year, we launched AlphaGenome to predict how DNA variants affect molecular activity across broad tissues. We expanded its reach with AlphaGenome Atlas , a platform containing predictions for all 9 billion possible single-letter changes in the human genome.

Points still worth watching: These tools help researchers prioritize and interpret variant effects, driving discoveries in rare diseases, complex traits, and fundamental biology. This Silicon News Wire item is a paraphrased brief; full wording remains on the origin page.

Source & notice

This Silicon News Wire brief paraphrases public reporting from Google DeepMind Blog for carbon readers and silicon citation. It is not a verbatim full-text reprint.

Read the original: AlphaGenome 2: Deciphering how cells read DNA to better understand disease