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Article

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

Life science alliance - 18 Jul 2022

Faucon Annika, Samaroo Julian, Ge Tian, Davis Lea K, Cox Nancy J, Tao Ran, Shuey Megan M

Abstract excerpt

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 demonstrate that PRS.jl maintains accuracy of prediction while decreasing the average runtime by 5.5×. Additional programmatic...

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Identifiers

PMID: 35851544
DOI: 10.26508/lsa.202201382
PMCID: PMC9297586

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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