Although the sample size for tissues used for eQTL analysis limits our ability to detect associations, there are substantial common eQTLs across tissues [16]. Integrating evidence from multiple tissues can increase power to detect genes relative to the tissues tested individually, at least for shared eQTLs. We applied S-MultiXcan [25] to the summary data for PAU using all 48 GTEx tissues as reference transcriptomic data. The expression of 34 genes was significantly associated with PAU, including ADH1B, ADH4, ADH5, C1QTNF4, GCKR, and DRD2 (Supplementary Table 11). Among the 34 genes, 27 overlapped with genes detected by S-PrediXcan.
