Fig. 1: Genome-wide structural models.
From: Mapping the genetic landscape across 14 psychiatric disorders
a, Heatmap of rgs across the 14 disorders as estimated using LDSC on the lower diagonal and the correlations among the psychiatric factors as estimated using GenomicSEM above the diagonal. Two-sided P values were derived from the Z-statistics, calculated as the point estimate of the rg divided by its s.e. Cells depicted with an asterisk reflect values that were significant at a Bonferroni-corrected threshold for multiple comparisons. Exact values are reported in Supplementary Table 1. Disorders that load on the same factor are shown in the same colour. Per the legend at the bottom of the panel, darker blue shading indicates larger, positive rgs. LDSC estimates were used as the input to genomic SEM to produce the results in b and c. b, Estimates from the five-factor model along with standard errors in parentheses. Estimates are standardized relative to SNP-based heritabilities, where this is equal to the sum of the squared factor loading (the single-headed arrow(s) from the factor to the disorder) and the residual variance (the values on the double-headed arrows on the single-colour circles with text labels that begin with u). Disorders are shown as pie charts; the proportion of residual variance is shaded in purple and the variance explained by the psychiatric factors is shaded in the colour of the corresponding factor. c, Standardized estimates from the p-factor model. The disorders are colour coded as in b, and the first-order factors (F1–F5) are also colour coded to show variance explained by the second-order p-factor in yellow.
