We next assessed whether the gene-level association statistics obtained from H-MAGMA can be used to elucidate the shared genetic architecture among brain disorders. Since the number of genes significantly associated with a given disorder differs based on the sample size and power of GWAS, we used a rank-rank hypergeometric test of overlap (RRHO), which is a threshold-free algorithm for comparing two genomic datasets44. Genes were ranked based on Z-scores from the H-MAGMA output, and ranked lists between two disorders were compared to identify the gene-level overlap between two disorders (Methods). We then compared this gene-level overlap with genetic correlations calculated by linkage disequilibrium score regression (LDSC)45.
