Article

A probabilistic graphical model for estimating selection coefficient of nonsynonymous variants from human population sequence data

2023-12-13

Abstract excerpt

Accurately predicting the effect of missense variants is important in discovering disease risk genes and clinical genetic diagnostics. Commonly used computational methods predict pathogenicity, which does not capture the quantitative impact on fitness in humans. We developed a method, MisFit, to estimate missense fitness effect using a graphical model. MisFit jointly models the effect at a molecular level ( d ) an...

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Literature Corpus work: dfe6c5c8-f558-57af-abfa-bf056a96e80c
DOI: 10.1101/2023.12.11.23299809

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