Accurate proteome-wide missense variant effect prediction with AlphaMissense

Jun Cheng, Guido Novati, Joshua Pan, Clare Bycroft, Akvilė Žemgulytė, Taylor Applebaum, Alexander Pritzel, Lai Hong Wong et al.

Science 2023 article cited by 2,095

importance 7/10 partially solved Genomics and Rare Diseases clinical genomics stage: research

The vast majority of human missense genetic variants have unknown clinical significance, hindering genetic disease diagnosis.

Interpreting these variants is critical for diagnosing genetic disease and enabling precision medicine.

AlphaMissense, an AlphaFold adaptation fine-tuned on human and primate variant frequency databases, predicts missense variant pathogenicity from structural context and evolutionary conservation.

State-of-the-art across a wide range of genetic and experimental benchmarks; 89% of missense variants classified as likely benign or likely pathogenic; predictions released for all possible human single amino acid substitutions.

Released a community database of pathogenicity predictions covering all possible human missense variants.

Venue Science
Published 2023
Work type article
Authors Jun Cheng, Guido Novati, Joshua Pan, Clare Bycroft, Akvilė Žemgulytė, Taylor Applebaum, Alexander Pritzel, Lai Hong Wong et al.
Citations 2,095 (OpenAlex, at import time)
References 105
Model or method AlphaMissense (adaptation of AlphaFold)
Organization not stated in source
Primary source https://doi.org/10.1126/science.adg7492
Open access bronze
Keywords missense variants, pathogenicity prediction, AlphaFold, protein structure, clinical genetics
7 / 10

significant — thousands to millions affected

Abstract states the vast majority of human missense variants are of unknown clinical significance, hindering genetic disease diagnosis; model classifies 89% of missense variants and releases predictions for all possible substitutions.

Basis: stated. The source itself states the scale. Stated scale: vast majority of human missense variants; 89% classified as likely benign or likely pathogenic. Method and limits.

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