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
相关论文
共 50 条
  • [41] Transcriptome-wide analysis of alternative mRNA splicing signature in the diagnosis and prognosis of stomach adenocarcinoma
    Shi, Yu
    Chen, Zuhua
    Gao, Juanjuan
    Wu, Si
    Gao, Haer
    Feng, Guoshuang
    ONCOLOGY REPORTS, 2018, 40 (04) : 2014 - 2022
  • [42] Transcriptome-wide alternative splicing modulation during plant-pathogen interactions in wheat
    Zhang, Hong
    Mao, Rui
    Wang, Yanzhen
    Zhang, Lu
    Wang, Changyou
    Lv, Shikai
    Liu, Xinlun
    Wang, Yajuan
    Ji, Wanquan
    PLANT SCIENCE, 2019, 288
  • [43] Transcriptome-wide Landscape of Pre-mRNA Alternative Splicing Associated with Metastatic Colonization
    Lu, Zhi-xiang
    Huang, Qin
    Park, Juw Won
    Shen, Shihao
    Lin, Lan
    Tokheim, Collin J.
    Henry, Michael D.
    Xing, Yi
    MOLECULAR CANCER RESEARCH, 2015, 13 (02) : 305 - 318
  • [44] Transcriptome-wide Regulation of Pre-mRNA Splicing and mRNA Localization by Muscleblind Proteins
    Wang, Eric T.
    Cody, Neal A. L.
    Jog, Sonali
    Biancolella, Michela
    Wang, Thomas T.
    Treacy, Daniel J.
    Luo, Shujun
    Schroth, Gary P.
    Housman, David E.
    Reddy, Sita
    Lecuyer, Eric
    Burge, Christopher B.
    CELL, 2012, 150 (04) : 710 - 724
  • [45] A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk
    Lu, Yingchang
    Beeghly-Fadiel, Alicia
    Wu, Lang
    Guo, Xingyi
    Li, Bingshan
    Schildkraut, Joellen M.
    Im, Hae Kyung
    Chen, Yian A.
    Permuth, Jennifer B.
    Reid, Brett M.
    Teer, Jamie K.
    Moysich, Kirsten B.
    Andrulis, Irene L.
    Anton-Culver, Hoda
    Arun, Banu K.
    Bandera, Elisa V.
    Barkardottir, Rosa B.
    Barnes, Daniel R.
    Benitez, Javier
    Bjorge, Line
    Brenton, James
    Butzow, Ralf
    Caldes, Trinidad
    Caligo, Maria A.
    Campbell, Ian
    Chang-Claude, Jenny
    Claes, Kathleen B. M.
    Couch, Fergus J.
    Cramer, DanielW.
    Daly, Mary B.
    deFazio, Anna
    Dennis, Joe
    Diez, Orland
    Domchek, Susan M.
    Doerk, Thilo
    Easton, Douglas F.
    Eccles, Diana M.
    Fasching, Peter A.
    Fortner, Renee T.
    Fountzilas, George
    Friedman, Eitan
    Ganz, Patricia A.
    Garber, Judy
    Giles, Graham G.
    Godwin, Andrew K.
    Goldgar, David E.
    Goodman, Marc T.
    Greene, Mark H.
    Gronwald, Jacek
    Hamann, Ute
    CANCER RESEARCH, 2018, 78 (18) : 5419 - 5430
  • [46] Polygenic risk score strategies for transcriptome-wide association analysis in prostate cancer risk
    Larson, Nicholas B.
    McDonnell, Shannon K.
    Fogarty, Zachary
    EUROPEAN JOURNAL OF HUMAN GENETICS, 2022, 30 (SUPPL 1) : 498 - 498
  • [47] Multi-ethnic transcriptome-wide association study of prostate cancer
    Fiorica, Peter N.
    Schubert, Ryan
    Morris, John D.
    Sami, Mohammed Abdul
    Wheeler, Heather E.
    PLOS ONE, 2020, 15 (09):
  • [48] Transcriptome-Wide Analyses Identify Dominant as the Predominantly Non-Conservative Alternative Splicing Inheritance Patterns in F1 Chickens
    Qi, Xin
    Gu, Hongchang
    Qu, Lujiang
    FRONTIERS IN GENETICS, 2021, 12
  • [49] Large-scale transcriptome-wide association study identifies new prostate cancer risk regions
    Mancuso, Nicholas
    Gayther, Simon
    Gusev, Alexander
    Zheng, Wei
    Penney, Kathryn L.
    Kote-Jarai, Zsofia
    Eeles, Rosalind
    Freedman, Matthew
    Haiman, Christopher
    Pasaniuc, Bogdan
    NATURE COMMUNICATIONS, 2018, 9
  • [50] Large-scale transcriptome-wide association study identifies new prostate cancer risk regions
    Nicholas Mancuso
    Simon Gayther
    Alexander Gusev
    Wei Zheng
    Kathryn L. Penney
    Zsofia Kote-Jarai
    Rosalind Eeles
    Matthew Freedman
    Christopher Haiman
    Bogdan Pasaniuc
    Nature Communications, 9