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Article

MVP predicts the pathogenicity of missense variants by deep learning.

Nature communications - 21 Jan 2021

Qi Hongjian, Zhang Haicang, Zhao Yige, Chen Chen, Long John J, Chung Wendy K, Guan Yongtao, Shen Yufeng

Abstract excerpt

Accurate pathogenicity prediction of missense variants is critically important in genetic studies and clinical diagnosis. Previously published prediction methods have facilitated the interpretation of missense variants but have limited performance. Here, we describe MVP (Missense Variant Pathogenicity prediction), a new prediction method that uses deep residual network to leverage large training data sets and...

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Identifiers

PMID: 33479230
DOI: 10.1038/s41467-020-20847-0
PMCID: PMC7820281

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