To explore the genome-wide relationship of our cross-disorder phenotype with other traits and diseases, we estimated pairwise genetic correlations using LD Hub (Zheng et al., 2017). We selected 25 brain-related traits from LD Hub, including phenotypes related to smoking behavior, education, personality, neurological disorders, sleeping, cognitive function, and brain volume (Table S7.1). Summary statistics for different phenotypes were harmonized via the default options provided by LD Hub, and SNPs in the MHC regions were removed before the analysis. For each of the selected traits, a bivariate LDSC analysis was performed to estimate its genetic correlation with our meta-analyzed cross-disorder phenotype. We then applied FDR correction to control for multiple testing and identify significant associations.
