PRS-on-Spark (PRSoS): a novel, efficient and flexible approach for generating polygenic risk scores

BACKGROUND: Polygenic risk scores (PRS) describe the genomic contribution to complex phenotypes and consistently account for a larger proportion of variance in outcome than single nucleotide polymorphisms (SNPs) alone. However, there is little consensus on the optimal data input for generating PRS,...

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Bibliografske podrobnosti
izdano v:BMC Bioinformatics
Main Authors: Chen, Lawrence M., Yao, Nelson, Garg, Elika, Zhu, Yuecai, Nguyen, Thao T. T., Pokhvisneva, Irina, Hari Dass, Shantala A., Unternaehrer, Eva, Gaudreau, Hélène, Forest, Marie, McEwen, Lisa M., MacIsaac, Julia L., Kobor, Michael S., Greenwood, Celia M. T., Silveira, Patricia P., Meaney, Michael J., O’Donnell, Kieran J.
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2018
Teme:
Software
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC6083617/
https://ncbi.nlm.nih.gov/pubmed/30089455
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2289-9
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