from maximum overlap as measured by AIC, and so must be interpreted with caution. It is important to note, however, that the overlaps presented are still the best-fitting estimates as determined by maximum likelihood estimation. Finally, given the need to maximise sample sizes, it was not possible to perform replication analyses in independent samples. Nonetheless, we use both MiXeR and LAVA to triangulate our findings using different statistical frameworks. Our univariate measures are further supported by recent findings using Fourier Mixture Regression (FMR),45 which predicts required sample sizes for a given proportion of explained heritability, like MiXeR (supplementary material). For schizophrenia, BIP and neuroticism, which were common to both analyses, there was high concordance of predicted sample sizes required to explain 90% SNP-heritability.
