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Advancing regulatory variant effect prediction with AlphaGenome | Synapse
March 3, 2026
Open Access
Advancing regulatory variant effect prediction with AlphaGenome
ŽA
Žiga Avsec
Google (United States)
NL
Natasha S. Latysheva
DeepMind (United Kingdom)
JC
Jun Cheng
DeepMind (United Kingdom)
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Key Points
AlphaGenome provides an advanced algorithm for predicting the effects of regulatory variants, enhancing genomic insights.
This work identifies significant improvements in prediction accuracy, with a reported increase of up to 25% in precision.
Analytical techniques were applied to genomic datasets, focusing on regulatory mutations and their biological implications.
Improved methods validate the accuracy of predictions, supporting broader applications in genomics and precision medicine.
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Avsec et al. (Wed,) studied this question.
synapsesocial.com/papers/69a75baac6e9836116a236ed
https://doi.org/https://doi.org/10.1038/s41586-025-10014-0
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