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

Zhao, Y., Lan, T., Zhong, G., Hagen, J., Pan, H., Chung, W. K., & Shen, Y. (2025). A probabilistic graphical model for estimating selection coefficients of nonsynonymous variants from human population sequence data. Nature Communications, 16(1). https://doi.org/10.1038/s41467-025-59937-2
Authors:
Yige Zhao
Tian Lan
Guojie Zhong
Jake Hagen
Hongbing Pan
Wendy K Chung
Yufeng Shen
Affiliated Authors:
Yige Zhao
Tian Lan
Guojie Zhong
Jake Hagen
Hongbing Pan
Yufeng Shen
Columbia Affiliation:
Subjects:
Genomic Studies and Association Analyses (OpenAlex Topic)
Standards and Guidelines for Genetic Variant Interpretation (OpenAlex Topic)
Evolutionary Dynamics of Genetic Adaptation and Mutation (OpenAlex Topic)
Models, Genetic (MeSH)
Models, Statistical (MeSH)
Mutation, Missense (MeSH)
Selection, Genetic (MeSH)
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Publication Type:
Article
Unique ID:
10.1038/s41467-025-59937-2
PMID:
40393980
DOI:
10.1038/s41467-025-59937-2
Journal:
Nature Communications
Publication Date:
Data Source:
PubMed
Source Link:
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Record Created: