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Splicing transcriptome-wide association study to identify splicing events for pancreatic cancer risk.

Duo LiuYe Eun BaeJingjing ZhuZichen ZhangYanfa SunYouping DengChong WuLang Wu
Published in: Carcinogenesis (2023)
A large proportion of the heritability of pancreatic cancer risk remains elusive, and the contribution of specific mRNA splicing events to pancreatic cancer susceptibility has not been systematically evaluated. In this study, we performed a large splicing transcriptome-wide association study (spTWAS) using three modeling strategies (Enet, LASSO, and MCP) to develop alternative splicing genetic prediction models for identifying novel susceptibility loci and splicing introns for pancreatic cancer risk by assessing 8,275 pancreatic cancer cases and 6,723 controls of European ancestry. Data from 305 subjects of whom the majority are of European descent in the Genotype-Tissue Expression Project (GTEx) were used and both cis-acting and promoter-enhancer interaction regions were considered to build these models. We identified nine splicing events of seven genes (ABO, UQCRC1, STARD3, ETAA1, CELA3B, LGR4, and SFT2D1) that showed an association of genetically predicted expression with pancreatic cancer risk at a false discovery rate (FDR) ≤ 0.05. Of these genes, UQCRC1 and LGR4 have not yet been reported to be associated with pancreatic cancer risk. Fine-mapping analyses supported likely causal associations corresponding to six splicing events of three genes (P4HTM, ABO and PGAP3). Our study identified novel genes and splicing events associated with pancreatic cancer risk, which can improve our understanding of the etiology of this deadly malignancy.
Keyphrases
  • genome wide
  • gene expression
  • poor prognosis
  • dna methylation
  • air pollution
  • single cell
  • small molecule
  • copy number
  • rna seq
  • long non coding rna
  • genome wide identification