Improving the computation efficiency of polygenic risk score modeling: faster in Julia

To enable large-scale application of polygenic risk scores (PRSs) in a computationally efficient manner, we translate a widely used PRS construction method, PRS–continuous shrinkage, to the Julia programming language, PRS.jl. On nine different traits with varying genetic architectures, we demonstrat...

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Detalles Bibliográficos
Autores principales: Faucon, Annika, Samaroo, Julian, Ge, Tian, Davis, Lea K, Cox, Nancy J, Tao, Ran, Shuey, Megan M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Life Science Alliance LLC 2022
Materias:
Resources
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9297586/
https://www.ncbi.nlm.nih.gov/pubmed/35851544
http://dx.doi.org/10.26508/lsa.202201382

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9297586/
https://www.ncbi.nlm.nih.gov/pubmed/35851544
http://dx.doi.org/10.26508/lsa.202201382

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