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

被引:2
|
作者
Liu, Duo [1 ,2 ]
Bae, Ye Eun [3 ]
Zhu, Jingjing [2 ]
Zhang, Zichen [3 ]
Sun, Yanfa [2 ,4 ,5 ,6 ]
Deng, Youping [7 ]
Wu, Chong [8 ]
Wu, Lang [2 ,9 ]
机构
[1] Harbin Med Univ, Canc Hosp, Dept Pharm, Harbin, Peoples R China
[2] Univ Hawaii Manoa, Univ Hawaii, Populat Sci Pacific Program, Canc Epidemiol Div,Canc Ctr, Honolulu, HI USA
[3] Florida State Univ, Dept Stat, Tallahassee, FL 32304 USA
[4] Longyan Univ, Coll Life Sci, Longyan 364012, Fujian, Peoples R China
[5] Fujian Prov Key Lab Prevent & Control Anim Infect, Longyan 364012, Fujian, Peoples R China
[6] Longyan Univ, Fujian Prov Univ Key Lab Prevent Vet Med & Biotech, Longyan 364012, Fujian, Peoples R China
[7] Univ Hawaii Manoa, John A Burns Sch Med, Dept Quantitat Hlth Sci, Honolulu, HI USA
[8] Univ Texas MD Anderson Canc Ctr, Dept Biostat, Houston, TX 77030 USA
[9] Univ Hawaii Manoa, Univ Hawaii, Populat Sci Pacific Program, Canc Epidemiol Div,Canc Ctr, Honolulu, HI 96813 USA
关键词
ABO BLOOD-GROUP; VARIABLE SELECTION; BREAST-CANCER; GROUP ALLELES; SUSCEPTIBILITY; EXPRESSION; GENE; PROTEIN; INFECTION; UQCRC1;
D O I
10.1093/carcin/bgad069
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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 8275 pancreatic cancer cases and 6723 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 <= 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. [GRAPHICS] .
引用
收藏
页码:741 / 747
页数:7
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