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A Transcriptome-Wide Association Study (TWAS) Identifies Novel Candidate Susceptibility Genes for Pancreatic Cancer.
Journal of the National Cancer Institute ( IF 9.9 ) Pub Date : 2020-01-09 , DOI: 10.1093/jnci/djz246
Jun Zhong 1 , Ashley Jermusyk 1 , Lang Wu 2 , Jason W Hoskins 1 , Irene Collins 1 , Evelina Mocci 3 , Mingfeng Zhang 1, 4 , Lei Song 5 , Charles C Chung 5 , Tongwu Zhang 5 , Wenming Xiao 6, 7 , Demetrius Albanes 5 , Gabriella Andreotti 5 , Alan A Arslan 8, 9, 10 , Ana Babic 11 , William R Bamlet 12 , Laura Beane-Freeman 5 , Sonja Berndt 5 , Ayelet Borgida 13 , Paige M Bracci 14 , Lauren Brais 11 , Paul Brennan 15 , Bas Bueno-de-Mesquita 16, 17, 18, 19 , Julie Buring 20, 21 , Federico Canzian 22 , Erica J Childs 3 , Michelle Cotterchio 23, 24 , Mengmeng Du 25 , Eric J Duell 26 , Charles Fuchs 27 , Steven Gallinger 13 , J Michael Gaziano 20, 28, 29 , Graham G Giles 30, 31, 32 , Edward Giovannucci 11 , Michael Goggins 33 , Gary E Goodman 34 , Phyllis J Goodman 35 , Christopher Haiman 36 , Patricia Hartge 5 , Manal Hasan 37 , Kathy J Helzlsouer 38 , Elizabeth A Holly 39 , Eric A Klein 40 , Manolis Kogevinas 41, 42, 43, 44 , Robert J Kurtz 45 , Loic LeMarchand 46 , Núria Malats 47 , Satu Männistö 48 , Roger Milne 30, 31, 49 , Rachel E Neale 50 , Kimmie Ng 11 , Ofure Obazee 22 , Ann L Oberg 12 , Irene Orlow 25 , Alpa V Patel 51 , Ulrike Peters 34 , Miquel Porta 42, 43 , Nathaniel Rothman 5 , Ghislaine Scelo 15, 30, 31 , Howard D Sesso 20, 21 , Gianluca Severi 52 , Sabina Sieri 53 , Debra Silverman 5 , Malin Sund 54 , Anne Tjønneland 55, 56, 57 , Mark D Thornquist 34 , Geoffrey S Tobias 5 , Antonia Trichopoulou , Stephen K Van Den Eeden 58 , Kala Visvanathan 59 , Jean Wactawski-Wende 60 , Nicolas Wentzensen 5 , Emily White 34, 61 , Herbert Yu 46 , Chen Yuan 11 , Anne Zeleniuch-Jacquotte 9, 62 , Robert Hoover 5 , Kevin Brown 1 , Charles Kooperberg 34 , Harvey A Risch 63 , Eric J Jacobs 64 , Donghui Li 65 , Kai Yu 5 , Xiao-Ou Shu 2 , Stephen J Chanock 5 , Brian M Wolpin 11 , Rachael Z Stolzenberg-Solomon 5 , Nilanjan Chatterjee 5, 66 , Alison P Klein 3, 33 , Jill P Smith 67 , Peter Kraft 21, 68 , Jianxin Shi 5 , Gloria M Petersen 12 , Wei Zheng 2 , Laufey T Amundadottir 1
Affiliation  

BACKGROUND Although 20 pancreatic cancer susceptibility loci have been identified through genome-wide association studies (GWAS) 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 (TWAS) in Europeans using three approaches, FUSION, MetaXcan and SMulTiXcan. We integrated GWAS summary statistics from 9,040 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, LTG (n = 95) and Genotype-Tissue Expression, GTEx v7 (n = 174) datasets), and data from 48 different tissues (GTEx v7, n = 74-421 samples). RESULTS We identified 25 genes whose genetically predicted expression was statistically significantly associated with pancreatic cancer risk (FDR < 0.05), 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 6 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.

中文翻译:


全转录组关联研究 (TWAS) 确定了胰腺癌的新候选易感基因。



背景虽然通过全基因组关联研究(GWAS)在欧洲血统的个体中鉴定出了 20 个胰腺癌易感位点,但其大部分遗传性仍然无法解释,而且相关基因也很大程度上未知。方法 为了发现新的胰腺癌风险位点和可能的致病基因,我们使用 FUSION、MetaXcan 和 SMulTiXcan 三种方法在欧洲人中进行了胰腺癌全转录组关联研究 (TWAS)。我们整合了 9,040 例胰腺癌病例和 12,496 例对照的 GWAS 摘要统计数据,以及使用来自组织学正常胰腺组织样本的转录组数据构建的基因表达预测模型(NCI 转化基因组学实验室,LTG (n = 95) 和基因型组织表达,GTEx v7 (n = 174) 数据集),以及来自 48 个不同组织的数据 (GTEx v7,n = 74-421 个样本)。结果我们确定了 25 个基因,其基因预测表达与胰腺癌风险具有统计学显着相关性(FDR < 0.05),包括 11 个新位点的 14 个候选基因(1p36.12:CELA3B;9q31.1:SMC2、SMC2-AS1;10q23.1)。 31: RP11-80H5.9; 12q13.13: BTBD6; 15q26.1: RCCD1; 17q12:, PNMT, CDK12, PGAP3; 1-888D10 .3;和 19p13.11:PGPEP1)和 6 个已知风险位点的 11(5p15.33:TERT、CLPTM1L、ZDHHC11B;7p14.1:INHBA;9q34.2:ABO;13q12.2:PDX1;13q22.1: KLF5;和 16q23.1:WDR59、CFDP1、BCAR1、TMEM170A)。其中 12 个基因(新风险位点处的 CELA3B、SMC2 和 PNMT,以及已知位点处的 TERT、CLPTM1L、INHBA、ABO、PDX1、KLF5、WDR59、CFDP1 和 BCAR1)的关联在 Bonferroni 校正后仍具有统计学显着性。 结论 通过整合基因表达和基因型数据,我们确定了新的胰腺癌风险位点和值得进一步研究的候选功能基因。
更新日期:2020-01-09
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