Prediction of Schizophrenia Diagnosis by Integration of Genetically Correlated Conditions and Traits
Abstract
Schizophrenia is genetically heterogeneous and comorbid with many conditions. In this study, we explored polygenic scores (PGSs) from genetically related conditions and traits to predict schizophrenia diagnosis using both logistic regression and deep neural network (DNN) models. We used the combined Molecular Genetics of Schizophrenia and Swedish Schizophrenia Case Control Study (MGS + SSCCS) data for training and testing the models, and used...
Paper Details
Title
Prediction of Schizophrenia Diagnosis by Integration of Genetically Correlated Conditions and Traits
Published Date
Oct 1, 2018
Volume
13
Issue
4
Pages
532 - 540
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