Since there exist a number of previous brain eQTL studies, we wanted to assess the overlap of the eQTL derived here from CMC with those existing databases. To that end, eQTL for the DLPFC from the (i) Braincloud16 (GEO accession number GSE30272, n samples = 108), (ii) NIH17 (GEO accession number GSE15745, n samples = 145), and (iii) Harvard Brain Tissue Resource Center (HBTRC) / Harvard Brain Bank (HBB)15 (GEO accession number GSE44772, n samples = 146) datasets were generated as previously described21. In addition, eQTL for the frontal cortex from the (iv) UKBEC data18 (GEO accession number GSE46706, n samples = 134) were generated in a similar manner using imputed genotypes obtained directly from the study authors. eQTL for a (v) meta-analysis of brain cortical regions (N = 424) were also obtained from the supplementary materials included with the publication19; note that this meta-analysis included some of the individual studies above. For each of these 5 datasets, an FDR threshold of 5% was used to declare significance of cis-eQTL, and those associated pairs were carried forward for testing. For
