Transcriptome‐wide association study identifies multiple genes and pathways associated with pancreatic cancer

Aim To identify novel candidate genes for pancreatic cancer. Methods We performed a transcriptome‐wide association study (TWAS) analysis of pancreatic cancer (PC). GWAS summary data were driven from the published studies of PC, totally involving 558 542 SNPs in 1896 individuals with pancreatic cancer and 1939 healthy controls. FUSION software was applied to the PC GWAS summary data for tissue‐related TWAS analysis, including whole blood, peripheral blood, adipose, and pancreas. The functional relevance of identified genes with PC was further validated by Oncomine, STRING, and CluePedia tool. Results Transcriptome‐wide association study analysis identified 19 genes significantly associated with PC, such as LRP5L (P value = 5.21 × 10‐5), SOX4 (P value = 3.2 × 10‐4), and EGLN3 (P value = 6.2 × 10‐3). KEGG pathway enrichment analysis detected several PC‐associated pathways, such as One carbon pool by folate (P value = 1.60 × 10‐16), Cell cycle (P value = 1.27 × 10‐7), TGF‐beta signaling pathway (P value = 4.64 × 10‐6). Further comparing the 19 genes with previously identified overexpressed genes in PC patients found one overlapped gene SOX4. Conclusion We identified some novel candidate genes and pathways associated with PC. Our results provide novel clues for the genetic mechanism studies of pancreatic cancer. TWAS was first applied to a large‐scale GWAS data to detect novel susceptibility genes associated with PC. The functional relevance of identified genes with PC was further validated by Oncomine, STRING, and CluePedia tool.