Nonetheless, most ‘causal’ genetic variants are yet to be discovered at genome-wide significance.“Genome-wide” approaches have therefore been developed which quantify genetic overlap beyond genome-wide significance, providing a “bird’s eye view” of the landscape of shared genetics across disorders and traits. For example, linkage disequilibrium score regression (LDSC) genetic correlation (rg) returns a summary measure of the correlation of all SNP effect sizes.15 When applied to 10 mental disorders, this revealed widespread weak-to-moderate positive correlations, with strong positive correlations between schizophrenia and BIP, and anxiety disorders and MD.16