The Genetics of the Mood Disorder Spectrum: Genome-wide Association Analyses of More Than 185,000 Cases and 439,000 Controls.

This figure is a correlation matrix displaying genetic correlations between various psychiatric traits (rows) and different mood disorder analyses (columns). The values range from strong positive correlations (e.g., 1.00 for Major depressive disorder) to strong negative correlations (e.g., -0.89 for Wellbeing spectrum). The columns compare the main mood disorders meta-analysis, down-sampled versions, and specific analyses for Major depressive disorder and Bipolar disorder.

This figure is a table of genetic correlation coefficients ($r_g$) between various traits (rows) and different mood disorder analyses (columns). Each cell contains a numerical correlation value and a corresponding horizontal error bar representing the confidence interval. The traits analyzed include insomnia, years of schooling, intelligence, coronary artery disease, age at first birth, body mass index, and household income.

This figure is a dot plot showing SNP-based heritability estimates ($\text{SNP } h^2$) on a liability scale for six psychiatric subtypes. The x-axis lists the analyses, including subtypes of bipolar disorder and major depressive disorder, while the y-axis represents the heritability estimate. Each point indicates the estimate, with vertical lines representing the 95% confidence intervals; the highest estimate and widest confidence interval are observed for schizoaffective bipolar disorder.

This is a network diagram illustrating genetic correlations between six mood disorder categories, represented by colored nodes. Double-headed arrows connect the disorders, with numerical values indicating the correlation coefficients. Solid arrows denote correlations that are significantly different from 0 and not significantly different from 1 (p < 0.00333), while dotted arrows represent correlations significantly different from 0 but distinct from 1.

This figure consists of two mirrored horizontal bar charts showing cell-type expression specificity for genes associated with bipolar disorder (left) and major depressive disorder (right). The x-axes represent the $\log_{10}(\text{p-value})$ and $-\log_{10}(\text{p-value})$, respectively, with black vertical lines indicating the threshold for significant enrichment ($p < 2 \times 10^{-3}$). Several cell types, including pyramidal CA1 and Medium Spiny Neurons, show significant enrichment across both disorders, while others, such as Neuroblasts, show significance only for major depressive disorder.

This figure consists of a series of forest plots showing GSMR results for causal relationships between mood disorders (MOOD, Combined MDD, PGC BD) and four external traits (CAD, EDU, BMI, SCZ). The left column displays effects of other traits on mood disorders, while the right column displays effects of mood disorders on other traits, with the x-axis representing the Beta coefficient. Asterisks (*) denote statistically significant results (p < 0.004) following Bonferroni correction.