Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

Polygenic risk scores have shown great promise in predicting complex disease risk and will become more accurate as training sample sizes increase. The standard approach for calculating risk scores involves linkage disequilibrium (LD)-based marker pruning and applying a p value threshold to associati...

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Detalhes bibliográficos
Publicado no:Am J Hum Genet
Main Authors: Vilhjálmsson, Bjarni J., Yang, Jian, Finucane, Hilary K., Gusev, Alexander, Lindström, Sara, Ripke, Stephan, Genovese, Giulio, Loh, Po-Ru, Bhatia, Gaurav, Do, Ron, Hayeck, Tristan, Won, Hong-Hee, Kathiresan, Sekar, Pato, Michele, Pato, Carlos, Tamimi, Rulla, Stahl, Eli, Zaitlen, Noah, Pasaniuc, Bogdan, Belbin, Gillian, Kenny, Eimear E., Schierup, Mikkel H., De Jager, Philip, Patsopoulos, Nikolaos A., McCarroll, Steve, Daly, Mark, Purcell, Shaun, Chasman, Daniel, Neale, Benjamin, Goddard, Michael, Visscher, Peter M., Kraft, Peter, Patterson, Nick, Price, Alkes L.
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2015
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4596916/
https://ncbi.nlm.nih.gov/pubmed/26430803
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ajhg.2015.09.001
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