Year: 2022
Type: article
Abstract: 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 modifications improve usability and robustness. This freely available software substantially improves work flow and democratizes usage of PRSs by lowering the computational burden of the PRS-continuous shrinkage method.
Source: Life Science Alliance
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,500
Funders: Vanderbilt University, Vanderbilt University Medical Center, Georgia Clinical and Translational Science Alliance, National Institutes of Health, National Institute on Aging, National Heart, Lung, and Blood Institute, National Human Genome Research Institute, National Cancer Institute, National Center for Research Resources, National Center for Advancing Translational Sciences, National Institute on Minority Health and Health Disparities
Awards: G1201814862, G2683268942, G364208108, Polygenic Risk Scores for Diverse Populations - Bridging Research and Clinical Care, G3978466315, Automated Storage and Retrieval of Biological Systems, G5679716143, Exploring the genetic basis of AD progression, The Vanderbilt Institute for Clinical and Translational Research (VICTR), Southeast Collaborative for Innovative Solutions to Chronic Diseases, Genetic Susceptibility and Biomarkers of Platinum-related Toxicities, Polygenic risk scores for cardiometabolic disorders: the role of blood cells immune response and evolutionary adaptation
OpenAlex ID: W4285730313