\setlength{\oddsidemargin}{-69pt} \begin{document}$$\hat r_b = 0.87$$\end{document}r^b=0.87 and s.e. = 0.010). The estimates of rb from ROSMAP were remarkably similar to those from CMC, providing an important replication of the result. The correlations related to Braineac were notably lower than those related to CMC (Fig. 1), which is likely due to the difference in transcriptomics technology between the two studies (microarray vs. RNA-Seq). It is of note that the results were robust to scale transformation of the eQTL effects (Supplementary Fig. 6), the exclusion of cis-eQTLs in or near the promoter regions (Supplementary Fig. 7), the exclusion of housekeeping genes24,25 (Supplementary Fig. 8), the inclusion of secondary cis-eQTLs identified from a conditional analysis26 (Supplementary Fig. 9), or the adjustment of gene expression data for confounding (e.g., batch effects) predicted from the data (Supplementary Fig. 10). In addition, we selected the top-associated cis-eQTLs at PeQTL < 5 × 10−8 from the CMC data, and found that the estimates of rb among the brain regions and between brain and blood in GTEx remained largely unchanged (Supplementary Fig. 11), suggesting that our results are also robust to the ascertainment of the cis-eQTLs.
