The enhanced statistical power gained from combining data from related psychiatric disorders was recently illustrated by applying the bivariate genomic relatedness matrix restricted maximum likelihood (GREML) method implemented in GCTA software [12, 14, 15] followed by fitting multinomial logistic regression models that successfully identified genetic loci within the CACNA1C, CACNB2 and ITIH3 genes, shared between the major psychiatric disorders [15]. The gene discussed is CACNB2; the disease is psychiatric disorder.