There are, however, limitations to our findings. The majority of GWAS hits, including ones for brain-related traits, have no matching eQTL signal in our data. We also find tantalizing evidence for trans-eQTLs in our data, and we anticipate that larger sample sizes will allow these to be detected with sufficient power. Finally, the enhanced quality and dynamic range of RNA sequencing will reveal new isoform-level and noncoding RNA-level eQTL signals. Nevertheless, despite these shortcomings, we have shown that the core product of this analysis, namely the identification of 30,333 cis-eQTL signals and their detailed characterization, represents a uniquely valuable resource of benefit to the neuroscience community.
