In the present study, we investigated the genetic foundations underlying the epidemiological associations between psychotic disorders and cannabis phenotypes, using statistical genetic approaches and the largest GWAS. We aimed to: (1) examine the genetic architecture of each phenotype, (2) estimate genetic overlap by investigating (a) genome-wide and local rgs, (b) specific shared genetic loci, and (c) putative biological mechanisms; (3) re-evaluate the causal and reverse causal hypotheses leveraging MR; and (4) improve the prediction of SCZ and BIP by integrating the genetic liability to psychotic disorders and cannabis phenotypes.
