Extended Data Fig. 2: External trait genetic correlations: Comparison across psychiatric factors.
From: Mapping the genetic landscape across 14 psychiatric disorders

Bar graphs depict genetic correlations with the 31 complex traits for the five psychiatric factors from the correlated factors model and the second-order, p-factor from the hierarchical model. Panels are separated by the different groupings of traits (e.g., cognitive; socioeconomic). Bars depicted with a dashed outline were significant at a Bonferroni-corrected threshold for the QTrait heterogeneity metric that flags traits whose patterns of genetic correlations from LDSC do not conform to those implied by the factor model. Error bars are +/− 1.96 SE that are centred around the point estimate of the genetic correlations. Bar depicted with a * reflect values that were significant at a Bonferroni corrected threshold for multiple comparisons, that were also not significant at this same Bonferroni corrected threshold for QTrait. This is with exception of the p-factor, which is depicted with a ‘*’ even if it is significant for the QTrait, as long as that same trait was significantly correlated with the majority (at least three) of the five other factors. The two-sided P-values used to evaluate significance were derived from the Z-statistics, calculated as the point estimate of the genetic correlation divided by its standard error. Correlations are ordered according to the point estimate for the p-factor. The implied sample size for the psychiatric factors was: Compulsive (\(\hat{n}\) = 54,100); Schizophrenia/Bipolar (\(\hat{n}\) = 127,202); Neurodevelopmental (\(\hat{n}\) = 84,760); Internalizing (\(\hat{n}\) = 1,637,337); Substance Use (\(\hat{n}\) = 313,395); p-factor (\(\hat{n}\) = 2,168,621). See Suppl. Table 12 for sample sizes for the external traits and Suppl. Table 13 for exact P-values.