paperKB
coga / coga-kb
Processing
Help
Sign in

Chunk #4 — Results — Genetic correlations with depression

Source
Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions.
Embedded
yes

Text

Depression is comorbid with a wide range of other diseases and disorders and to assess the shared genetic architecture between depression and many other traits, genetic correlations were calculated between our meta-analysed summary statistics of all three cohorts for depression and 234 behavioural and disease traits available via LD Hub (http://ldsc.broadinstitute.org/ldhub/) which implements LDSC regression. Of these behavioural and disease traits, 41 were significantly genetically correlated (PFDR < 0.01) with our meta-analysis results after applying false discovery rate correction, see Supplementary Figure 3 and Supplementary Table 3. Significant genetic correlations with depression included schizophrenia (rG = 0.32, s.e = 0.02), bipolar disorder (rG = 0.33, s.e = 0.03), college completion (rG = -0.19, s.e = 0.03), coronary artery disease (rG = 0.13, s.e = 0.02), triglycerides (rG = 0.14, s.e = 0.02), body fat (rG = 0.16, s.e = 0.03), and waist-to-hip ratio (rG = 0.12, s.e = 0.02). Many of these genetic correlations are similar to those reported by Wray, et al. 9 and Howard, et al. 5, including earlier age at menarche (rG = -0.12, s.e = 0.02).