进行全基因组分析,评估大量饮酒是否会改变 SNP 与胰腺癌风险之间的关联。

IF 3.7 3区 医学 Q2 ONCOLOGY
Zhanmo Ni, Prosenjit Kundu, David F McKean, William Wheeler, Demetrius Albanes, Gabriella Andreotti, Samuel O Antwi, Alan A Arslan, William R Bamlet, Laura E Beane-Freeman, Sonja I Berndt, Paige M Bracci, Paul Brennan, Julie E Buring, Stephen J Chanock, Steven Gallinger, J M Gaziano, Graham G Giles, Edward L Giovannucci, Michael G Goggins, Phyllis J Goodman, Christopher A Haiman, Manal M Hassan, Elizabeth A Holly, Rayjean J Hung, Verena Katzke, Charles Kooperberg, Peter Kraft, Loic LeMarchand, Donghui Li, Marjorie L McCullough, Roger L Milne, Steven C Moore, Rachel E Neale, Ann L Oberg, Alpa V Patel, Ulrike Peters, Kari G Rabe, Harvey A Risch, Xiao-Ou Shu, Karl Smith-Byrne, Kala Visvanathan, Jean Wactawski-Wende, Emily White, Brian M Wolpin, Herbert Yu, Anne Zeleniuch-Jacquotte, Wei Zheng, Jun Zhong, Laufey T Amundadottir, Rachael Z Stolzenberg-Solomon, Alison P Klein
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引用次数: 0

摘要

背景:胰腺癌是全球癌症相关死亡的主要原因。胰腺癌的风险因素包括常见的基因变异和潜在的大量饮酒。我们评估了基因变异是否会改变大量饮酒与胰腺癌风险之间的关联:我们从全基因组关联研究(GWAS)中对欧洲血统人群胰腺癌的单核苷酸多态性(SNP)与大量饮酒(每天饮酒超过 3 杯)进行了全基因组交互分析。我们的分析包括病例对照研究中的 3,707 例病例和 4,167 例对照,以及队列研究中的 1,098 例病例和 1,162 例对照。我们进行了固定效应荟萃分析:结果:在 10p11.22 上发现了一个潜在的新关联区域,即主导 SNP rs7898449(荟萃分析中的 Pinteraction = 5.1 x 10-8,病例对照研究中的 Pinteraction = 2.1x10-9 ,队列研究中的 Pinteraction = 0.91)。与该先导 SNP 相关的 SNP 是 NRP1 基因的 eQTL。在之前的研究中,17 个基因组区域与胰腺癌的关联具有全基因组范围的显著证据,我们观察到提示性证据表明,大量饮酒改变了 LINC00673 附近的一个 SNP(rs11655237,位于 17q25.1)的关联(Pinteraction = 0.004):我们发现了一个可能与胰腺癌风险相关的新基因组区域,该区域位于NRP1的eQTL附近,而NRP1是一种在胰腺癌发生和发展过程中发挥重要作用的蛋白:这项研究有助于深入了解胰腺癌的病因,尤其是酗酒者的病因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genome-Wide Analysis to Assess if Heavy Alcohol Consumption Modifies the Association between SNPs and Pancreatic Cancer Risk.

Background: Pancreatic cancer is a leading cause of cancer-related death globally. Risk factors for pancreatic cancer include common genetic variants and potentially heavy alcohol consumption. We assessed if genetic variants modify the association between heavy alcohol consumption and pancreatic cancer risk.

Methods: We conducted a genome-wide interaction analysis of single-nucleotide polymorphisms (SNP) by heavy alcohol consumption (more than three drinks per day) for pancreatic cancer in European ancestry populations from genome-wide association studies. Our analysis included 3,707 cases and 4,167 controls from case-control studies and 1,098 cases and 1,162 controls from cohort studies. Fixed-effect meta-analyses were conducted.

Results: A potential novel region of association on 10p11.22, lead SNP rs7898449 (interaction P value (Pinteraction) = 5.1 × 10-8 in the meta-analysis; Pinteraction = 2.1 × 10-9 in the case-control studies; Pinteraction = 0.91 in the cohort studies), was identified. An SNP correlated with this lead SNP is an expression quantitative trait locus for the neuropilin 1 gene. Of the 17 genomic regions with genome-wide significant evidence of association with pancreatic cancer in prior studies, we observed suggestive evidence that heavy alcohol consumption modified the association for one SNP near LINC00673, rs11655237 on 17q25.1 (Pinteraction = 0.004).

Conclusions: We identified a novel genomic region that may be associated with pancreatic cancer risk in conjunction with heavy alcohol consumption located near an expression quantitative trait locus for neuropilin 1, a protein that plays an important role in the development and progression of pancreatic cancer.

Impact: This work can provide insights into the etiology of pancreatic cancer, particularly in heavy drinkers.

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来源期刊
Cancer Epidemiology Biomarkers & Prevention
Cancer Epidemiology Biomarkers & Prevention 医学-公共卫生、环境卫生与职业卫生
CiteScore
6.50
自引率
2.60%
发文量
538
审稿时长
1.6 months
期刊介绍: Cancer Epidemiology, Biomarkers & Prevention publishes original peer-reviewed, population-based research on cancer etiology, prevention, surveillance, and survivorship. The following topics are of special interest: descriptive, analytical, and molecular epidemiology; biomarkers including assay development, validation, and application; chemoprevention and other types of prevention research in the context of descriptive and observational studies; the role of behavioral factors in cancer etiology and prevention; survivorship studies; risk factors; implementation science and cancer care delivery; and the science of cancer health disparities. Besides welcoming manuscripts that address individual subjects in any of the relevant disciplines, CEBP editors encourage the submission of manuscripts with a transdisciplinary approach.
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