To obtain P-values for genetic variants an inverse-variance weighted meta-analysis of summary statistics data from UK Biobank, PGC and 23andMe was used. UK Biobank summary statistics were obtained using a linear association analysis with the results transformed to the logistic scale. Psychiatric Genomics Consortium and 23andMe data were analysed using an additive logistic model. All association analyses were two-sided z-test. The polygenic risk score analysis used Nagelkerke’s r2 was used to calculate the proportion of phenotypic variance explained with a one-sided test used to determine if this proportion was significantly different from zero. P-values for the genetic correlations calculated by testing whether rG was significantly different from zero using a two-sided z-test. P-values for the principal IWV regression for evidence of a causal effect were calculated by testing whether a causal effect was significantly different from zero using a two-sided z-test. P-values for the genetic correlations calculated by testing whether rG was significantly different from zero using a two-sided z-test. P-values in the heritability enrichment analysis were calculated using a one-sided test and tested whether there the estimate of enrichment
