PRS-on-Spark: a novel, efficient and flexible approach for generating polygenic risk scores
Lawrence M. Chen, Nelson Yao, Elika Garg, Yuecai Zhu, Thao T. T. Nguyen, Irina Pokhvisneva, Shantala A. Hari Dass, Eva Unternäehrer, Hélène Gaudreau, Marie Forest, Lisa M. McEwen, Julia L. MacIsaac, Michael Steffen Kobor, Celia M.T. Greenwood, Patrícia Pelufo Silveira, , Kieran J. O’Donnell
PRS-on-Spark generates polygenic risk scores efficiently, supporting diverse data inputs and improving variance explained for major depression.
BMC Bioinformatics · Aug 8, 2018Peer-reviewedBioinformatics