Gene expression prediction models were created following the “PrediXcan” method15. Matched genotype and gene expression data were used to identify a set of variants that influence gene expression (Supplementary Figure 2a). Weights for these variants are calculated using regression in a ten-fold cross-validation framework. All cross-validation folds were balanced for diagnoses, ethnicity, and other clinical variables.
