A Transcriptome-Wide Association Study Identifies Novel Candidate Susceptibility Genes for Pancreatic Cancer. (5th April 2020)
- Record Type:
- Journal Article
- Title:
- A Transcriptome-Wide Association Study Identifies Novel Candidate Susceptibility Genes for Pancreatic Cancer. (5th April 2020)
- Main Title:
- A Transcriptome-Wide Association Study Identifies Novel Candidate Susceptibility Genes for Pancreatic Cancer
- Authors:
- Zhong, Jun
Jermusyk, Ashley
Wu, Lang
Hoskins, Jason W
Collins, Irene
Mocci, Evelina
Zhang, Mingfeng
Song, Lei
Chung, Charles C
Zhang, Tongwu
Xiao, Wenming
Albanes, Demetrius
Andreotti, Gabriella
Arslan, Alan A
Babic, Ana
Bamlet, William R
Beane-Freeman, Laura
Berndt, Sonja
Borgida, Ayelet
Bracci, Paige M
Brais, Lauren
Brennan, Paul
Bueno-de-Mesquita, Bas
Buring, Julie
Canzian, Federico
Childs, Erica J
Cotterchio, Michelle
Du, Mengmeng
Duell, Eric J
Fuchs, Charles
Gallinger, Steven
Gaziano, J Michael
Giles, Graham G
Giovannucci, Edward
Goggins, Michael
Goodman, Gary E
Goodman, Phyllis J
Haiman, Christopher
Hartge, Patricia
Hasan, Manal
Helzlsouer, Kathy J
Holly, Elizabeth A
Klein, Eric A
Kogevinas, Manolis
Kurtz, Robert J
LeMarchand, Loic
Malats, Núria
Männistö, Satu
Milne, Roger
Neale, Rachel E
Ng, Kimmie
Obazee, Ofure
Oberg, Ann L
Orlow, Irene
Patel, Alpa V
Peters, Ulrike
Porta, Miquel
Rothman, Nathaniel
Scelo, Ghislaine
Sesso, Howard D
Severi, Gianluca
Sieri, Sabina
Silverman, Debra
Sund, Malin
Tjønneland, Anne
Thornquist, Mark D
Tobias, Geoffrey S
Trichopoulou, Antonia
Van Den Eeden, Stephen K
Visvanathan, Kala
Wactawski-Wende, Jean
Wentzensen, Nicolas
White, Emily
Yu, Herbert
Yuan, Chen
Zeleniuch-Jacquotte, Anne
Hoover, Robert
Brown, Kevin
Kooperberg, Charles
Risch, Harvey A
Jacobs, Eric J
Li, Donghui
Yu, Kai
Shu, Xiao-Ou
Chanock, Stephen J
Wolpin, Brian M
Stolzenberg-Solomon, Rachael Z
Chatterjee, Nilanjan
Klein, Alison P
Smith, Jill P
Kraft, Peter
Shi, Jianxin
Petersen, Gloria M
Zheng, Wei
Amundadottir, Laufey T
… (more) - Abstract:
- Abstract: Background: Although 20 pancreatic cancer susceptibility loci have been identified through genome-wide association studies in individuals of European ancestry, much of its heritability remains unexplained and the genes responsible largely unknown. Methods: To discover novel pancreatic cancer risk loci and possible causal genes, we performed a pancreatic cancer transcriptome-wide association study in Europeans using three approaches: FUSION, MetaXcan, and Summary-MulTiXcan. We integrated genome-wide association studies summary statistics from 9040 pancreatic cancer cases and 12 496 controls, with gene expression prediction models built using transcriptome data from histologically normal pancreatic tissue samples (NCI Laboratory of Translational Genomics [n = 95] and Genotype-Tissue Expression v7 [n = 174] datasets) and data from 48 different tissues (Genotype-Tissue Expression v7, n = 74–421 samples). Results: We identified 25 genes whose genetically predicted expression was statistically significantly associated with pancreatic cancer risk (false discovery rate < .05), including 14 candidate genes at 11 novel loci (1p36.12: CELA3B ; 9q31.1: SMC2, SMC2-AS1 ; 10q23.31: RP11-80H5.9 ; 12q13.13: SMUG1 ; 14q32.33: BTBD6 ; 15q23: HEXA ; 15q26.1: RCCD1 ; 17q12: PNMT, CDK12, PGAP3 ; 17q22: SUPT4H1 ; 18q11.22: RP11-888D10.3 ; and 19p13.11: PGPEP1 ) and 11 at six known risk loci (5p15.33: TERT, CLPTM1L, ZDHHC11B ; 7p14.1: INHBA ; 9q34.2: ABO ; 13q12.2: PDX1 ; 13q22.1: KLF5;Abstract: Background: Although 20 pancreatic cancer susceptibility loci have been identified through genome-wide association studies in individuals of European ancestry, much of its heritability remains unexplained and the genes responsible largely unknown. Methods: To discover novel pancreatic cancer risk loci and possible causal genes, we performed a pancreatic cancer transcriptome-wide association study in Europeans using three approaches: FUSION, MetaXcan, and Summary-MulTiXcan. We integrated genome-wide association studies summary statistics from 9040 pancreatic cancer cases and 12 496 controls, with gene expression prediction models built using transcriptome data from histologically normal pancreatic tissue samples (NCI Laboratory of Translational Genomics [n = 95] and Genotype-Tissue Expression v7 [n = 174] datasets) and data from 48 different tissues (Genotype-Tissue Expression v7, n = 74–421 samples). Results: We identified 25 genes whose genetically predicted expression was statistically significantly associated with pancreatic cancer risk (false discovery rate < .05), including 14 candidate genes at 11 novel loci (1p36.12: CELA3B ; 9q31.1: SMC2, SMC2-AS1 ; 10q23.31: RP11-80H5.9 ; 12q13.13: SMUG1 ; 14q32.33: BTBD6 ; 15q23: HEXA ; 15q26.1: RCCD1 ; 17q12: PNMT, CDK12, PGAP3 ; 17q22: SUPT4H1 ; 18q11.22: RP11-888D10.3 ; and 19p13.11: PGPEP1 ) and 11 at six known risk loci (5p15.33: TERT, CLPTM1L, ZDHHC11B ; 7p14.1: INHBA ; 9q34.2: ABO ; 13q12.2: PDX1 ; 13q22.1: KLF5; and 16q23.1: WDR59, CFDP1, BCAR1, TMEM170A ). The association for 12 of these genes ( CELA3B, SMC2, and PNMT at novel risk loci and TERT, CLPTM1L, INHBA, ABO, PDX1, KLF5, WDR59, CFDP1, and BCAR1 at known loci) remained statistically significant after Bonferroni correction. Conclusions: By integrating gene expression and genotype data, we identified novel pancreatic cancer risk loci and candidate functional genes that warrant further investigation. … (more)
- Is Part Of:
- Journal of the National Cancer Institute. Volume 112:Number 10(2020)
- Journal:
- Journal of the National Cancer Institute
- Issue:
- Volume 112:Number 10(2020)
- Issue Display:
- Volume 112, Issue 10 (2020)
- Year:
- 2020
- Volume:
- 112
- Issue:
- 10
- Issue Sort Value:
- 2020-0112-0010-0000
- Page Start:
- 1003
- Page End:
- 1012
- Publication Date:
- 2020-04-05
- Subjects:
- Cancer -- Periodicals
Cancer -- Research -- Periodicals
616.994 - Journal URLs:
- https://jnci.oxfordjournals.org/ ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/jnci/djz246 ↗
- Languages:
- English
- ISSNs:
- 0027-8874
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4830.000000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 15713.xml