Co-localization analyses were performed to evaluate the extent of overlap between eQTL and GWAS signatures in depression and to identify putative causal genes from GWAS associations. Considering only the 95% credible SNPs from the fine-mapped depression-meta-analysis, we integrated GWAS results and eQTL data from a previous meta-analysis integrating signals among three brain datasets53 applying a fixed-effect model. The eQTL data originates from eQTL meta-analysis on RNA-sequenced gene expression data from the dorsolateral prefrontal cortex from PsychENCODE50 and ROSMAP130, and from 13 brain regions from GTEx131.
