We conducted two transcriptome-wide analyses. First, we used MetaXcan/S-MultiXcan38 to conduct a cross-tissue analysis of all brain tissues in the GTEx v8 data37. S-MultiXcan returns a broad Z-score across all tissues in the model, along with the top and lowest scores at each tissue. S-MultiXcan combines information across individual tissues, which improves the power for discovery by reducing the multiple correction burden. It also produces z-score and p-values for top-associated tissues. Second, we also used S-Predixcan62 to predict transcription using the weights trained from on psychiatric cases vs controls transcriptional differences from the frontal and temporal cortex using the PsychEncode63 dataset. As these data were very densely sampled for psychiatrically relevant traits, it serves to complement the relatively healthy GTEx sample.
