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Improving genetic prediction by leveraging genetic correlations among human dis...

Maier, Robert M.; Zhu, Zhihong; Lee, Sang Hong; Trzaskowski, Maciej; Ruderfer, Douglas M.; Stahl, Eli A.; Ripke, Stephan; Wray, Naomi R.; Yang, Jian

Genomic prediction has the potential to contribute to precision medicine. However, to date, the utility of such predictors is limited due to low accuracy for most traits. Here theory and simulation study are used to demonstrate that widespread pleiotropy among phenotypes can be utilised to improve genomic risk prediction. We show how a genetic predictor can be created as a weighted index that combines published...


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