Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores
Bjarni Vilhjalmsson, Jian Yang, Hilary Kiyo Finucane, Alexander Gusev, Sara Lindstrom, Stephan Ripke, Giulio Genovese, Po-Ru Loh, Gaurav Bhatia, Ron Do, Tristian Hayeck, Hong-Hee Won, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) study the Discovery, Sekar Kathiresan, , Nick J Patte
This paper introduces LDpred, a method that improves polygenic risk score accuracy by modeling linkage disequilibrium, showing increased R2 values in schizophrenia and multiple sclerosis datasets.
The American Journal of Human Genetics · Oct 1, 2015Peer-reviewedBioinformatics