Article
Joint analysis of psychiatric disorders increases accuracy of risk prediction for schizophrenia, bipolar disorder, and major depressive disorder.
American journal of human genetics - 5 Feb 2015
Maier Robert, Moser Gerhard, Chen Guo-Bo, Ripke Stephan, Coryell William, Potash James B, Scheftner William A, Shi Jianxin, Weissman Myrna M, Hultman Christina M, Landén Mikael, Levinson Douglas F, Kendler Kenneth S, Smoller Jordan W, Wray Naomi R, Lee S Hong
Abstract excerpt
Genetic risk prediction has several potential applications in medical research and clinical practice and could be used, for example, to stratify a heterogeneous population of patients by their predicted genetic risk. However, for polygenic traits, such as psychiatric disorders, the accuracy of risk prediction is low. Here we use a multivariate linear mixed model and apply multi-trait genomic best linear unbiased...
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