A transcriptome-wide association study identifies novel candidate susceptibility genes for pancreatic cancer Journal Article


Authors: Zhong, J.; Jermusyk, A.; Wu, L.; Hoskins, J. W.; Collins, I.; Mocci, E.; Zhang, M.; Song, L.; Chung, C. C.; Zhang, T.; Xiao, W.; Albanes, D.; Andreotti, G.; Arslan, A. A.; Babic, A.; Bamlet, W. R.; Beane-Freeman, L.; Berndt, S.; Borgida, A.; Bracci, P. M.; Brais, L.; Brennan, P.; Bueno-de-Mesquita, B.; Buring, J.; Canzian, F.; Childs, E. J.; Cotterchio, M.; Du, M.; Duell, E. J.; Fuchs, C.; Gallinger, S.; Gaziano, J. M.; Giles, G. G.; Giovannucci, E.; Goggins, M.; Goodman, G. E.; Goodman, P. J.; Haiman, C.; Hartge, P.; Hasan, M.; Helzlsouer, K. J.; Holly, E. A.; Klein, E. A.; Kogevinas, M.; Kurtz, R. J.; LeMarchand, L.; Malats, N.; Männistö, S.; Milne, R.; Neale, R. E.; Ng, K.; Obazee, O.; Oberg, A. L.; Orlow, I.; Patel, A. V.; Peters, U.; Porta, M.; Rothman, N.; Scelo, G.; Sesso, H. D.; Severi, G.; Sieri, S.; Silverman, D.; Sund, M.; Tjønneland, A.; Thornquist, M. D.; Tobias, G. S.; Trichopoulou, A.; Van Den Eeden, S. K.; Visvanathan, K.; Wactawski-Wende, J.; Wentzensen, N.; White, E.; Yu, H.; Yuan, C.; Zeleniuch-Jacquotte, A.; Hoover, R.; Brown, K.; Kooperberg, C.; Risch, H. A.; Jacobs, E. J.; Li, D.; Yu, K.; Shu, X. O.; Chanock, S. J.; Wolpin, B. M.; Stolzenberg-Solomon, R. Z.; Chatterjee, N.; Klein, A. P.; Smith, J. P.; Kraft, P.; Shi, J.; Petersen, G. M.; Zheng, W.; Amundadottir, L. T.
Article Title: A transcriptome-wide association study identifies novel candidate susceptibility genes for pancreatic cancer
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: PGPEPI) and 11 at six known risk loci (5p15.33: TERT, CLPTMIL, ZDHHCIIB; 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, CLPTMIL, 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.
Keywords: protein; telomerase; variants; imputation; activity; risk loci; differential expression analysis; human condensin complex
Journal Title: JNCI: Journal of the National Cancer Institute
Volume: 112
Issue: 10
ISSN: 0027-8874
Publisher: Oxford University Press  
Date Published: 2020-10-01
Start Page: 1003
End Page: 1012
Language: English
ACCESSION: WOS:000606732600006
DOI: 10.1093/jnci/djz246
PROVIDER: wos
PMCID: PMC7566474
PUBMED: 31917448
Notes: Article -- Source: Wos
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Irene Orlow
    247 Orlow
  2. Robert C Kurtz
    196 Kurtz
  3. Mengmeng   Du
    74 Du