Literature DB >> 32907841

A Transcriptome-Wide Association Study Identifies Candidate Susceptibility Genes for Pancreatic Cancer Risk.

Duo Liu1,2, Dan Zhou3, Yanfa Sun2,4,5,6, Jingjing Zhu2, Dalia Ghoneim2, Chong Wu7, Qizhi Yao8,9, Eric R Gamazon3,10,11, Nancy J Cox3, Lang Wu12.   

Abstract

Pancreatic cancer is among the most well-characterized cancer types, yet a large proportion of the heritability of pancreatic cancer risk remains unclear. Here, we performed a large transcriptome-wide association study to systematically investigate associations between genetically predicted gene expression in normal pancreas tissue and pancreatic cancer risk. Using data from 305 subjects of mostly European descent in the Genotype-Tissue Expression Project, we built comprehensive genetic models to predict normal pancreas tissue gene expression, modifying the UTMOST (unified test for molecular signatures). These prediction models were applied to the genetic data of 8,275 pancreatic cancer cases and 6,723 controls of European ancestry. Thirteen genes showed an association of genetically predicted expression with pancreatic cancer risk at an FDR ≤ 0.05, including seven previously reported genes (INHBA, SMC2, ABO, PDX1, RCCD1, CFDP1, and PGAP3) and six novel genes not yet reported for pancreatic cancer risk [6q27: SFT2D1 OR (95% confidence interval (CI), 1.54 (1.25-1.89); 13q12.13: MTMR6 OR (95% CI), 0.78 (0.70-0.88); 14q24.3: ACOT2 OR (95% CI), 1.35 (1.17-1.56); 17q12: STARD3 OR (95% CI), 6.49 (2.96-14.27); 17q21.1: GSDMB OR (95% CI), 1.94 (1.45-2.58); and 20p13: ADAM33 OR (95% CI): 1.41 (1.20-1.66)]. The associations for 10 of these genes (SFT2D1, MTMR6, ACOT2, STARD3, GSDMB, ADAM33, SMC2, RCCD1, CFDP1, and PGAP3) remained statistically significant even after adjusting for risk SNPs identified in previous genome-wide association study. Collectively, this analysis identified novel candidate susceptibility genes for pancreatic cancer that warrant further investigation. SIGNIFICANCE: A transcriptome-wide association analysis identified seven previously reported and six novel candidate susceptibility genes for pancreatic cancer risk. ©2020 American Association for Cancer Research.

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Year:  2020        PMID: 32907841      PMCID: PMC7572664          DOI: 10.1158/0008-5472.CAN-20-1353

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  57 in total

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7.  Down regulation of ADAM33 as a Predictive Biomarker of Aggressive Breast Cancer.

Authors:  Graciele C M Manica; Caroline F Ribeiro; Marco A S de Oliveira; Isabela T Pereira; Andressa Chequin; Edneia A S Ramos; Liliane M B Klassen; Ana Paula M Sebastião; Larissa M Alvarenga; Silvio M Zanata; Lucia De Noronha; Iris Rabinovich; Fabricio F Costa; Emanuel M Souza; Giseli Klassen
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Authors:  Yiming Hu; Mo Li; Qiongshi Lu; Haoyi Weng; Jiawei Wang; Seyedeh M Zekavat; Zhaolong Yu; Boyang Li; Jianlei Gu; Sydney Muchnik; Yu Shi; Brian W Kunkle; Shubhabrata Mukherjee; Pradeep Natarajan; Adam Naj; Amanda Kuzma; Yi Zhao; Paul K Crane; Hui Lu; Hongyu Zhao
Journal:  Nat Genet       Date:  2019-02-25       Impact factor: 38.330

10.  Genetic effects on gene expression across human tissues.

Authors:  Alexis Battle; Christopher D Brown; Barbara E Engelhardt; Stephen B Montgomery
Journal:  Nature       Date:  2017-10-11       Impact factor: 49.962

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3.  A transcriptome-wide association study identifies novel candidate susceptibility genes for prostate cancer risk.

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Review 6.  Linking Late Endosomal Cholesterol with Cancer Progression and Anticancer Drug Resistance.

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7.  An integrative microenvironment approach for laryngeal carcinoma: the role of immune/methylation/autophagy signatures on disease clinical prognosis and single-cell genotypes.

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8.  An integrative multiomics analysis identifies putative causal genes for COVID-19 severity.

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