We applied MiXeR and LAVA to large-scale GWAS of ADHD, BIP, schizophrenia, MD, cognitive and personality traits, to characterise their genetic overlap beyond rg. We aimed to map a) polygenicity, b) genetic overlap allowing mixed effect directions c) rgs, and d) local genetic correlations, using height as a comparator. We compared MiXeR estimates of mixed effect directions to LAVA local correlations to validate our findings across two distinct statistical frameworks. By charting the landscape of genetic overlap beyond rg, we provide insights into the unique and shared genetic architectures underlying psychiatric disorders, with implications for how we conceptualise genetic risk for mental disorders and related traits.
