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分析外显子组和遗传变异性表明,应激是导致胰腺导管腺癌发展的主要因素。

Analysis of exposome and genetic variability suggests stress as a major contributor for development of pancreatic ductal adenocarcinoma.

机构信息

Department of Biology, University of Pisa, Via Luca Ghini, 13, 56126 Pisa, Italy.

Classe di scienze, Scuola Normale Superiore, Piazza dei Cavalieri, 7, 56126 Pisa, Italy.

出版信息

Dig Liver Dis. 2024 Jun;56(6):1054-1063. doi: 10.1016/j.dld.2023.10.015. Epub 2023 Nov 18.

Abstract

BACKGROUND

The current knowledge on pancreatic ductal adenocarcinoma (PDAC) risk factors is limited and no study has comprehensively tested the exposome in combination with the genetic variability in relation to the disease susceptibility.

AIM

The aim of this study was to analyze the exposome and its interaction with known genetic susceptibility loci, in relation to PDAC risk.

METHODS

A case-control study nested in UK Biobank cohort was conducted on 816 PDAC cases and 302,645 controls. A total of 347 exposure variables, and a polygenic risk score (PRS) were analyzed through logistic regression. Gene-environment interaction analyses were conducted.

RESULTS

A total of 52 associations under the Bonferroni corrected threshold of p < 1.46 × 10 were observed. Known risk factors such as smoking, pancreatitis, diabetes, PRS, heavy alcohol drinking and overweight were replicated in this study. As for novel associations, a clear indication for length and intensity of mobile phone use and the stress-related factors and stressful events with increase of PDAC risk was observed. Although the PRS was associated with PDAC risk (P = 2.09 × 10), statistically significant gene-exposome interactions were not identified.

CONCLUSION

In conclusion, our results suggest that a stressful lifestyle and sedentary behaviors may play a major role in PDAC susceptibility independently from the genetic background.

摘要

背景

目前关于胰腺导管腺癌(PDAC)危险因素的知识有限,尚无研究全面测试外显子组与疾病易感性相关的遗传变异性。

目的

本研究旨在分析外显子组及其与已知遗传易感性位点的相互作用与 PDAC 风险的关系。

方法

在 UK Biobank 队列中进行了一项病例对照研究,纳入了 816 例 PDAC 病例和 302645 例对照。通过逻辑回归分析了 347 个暴露变量和一个多基因风险评分(PRS)。进行了基因-环境相互作用分析。

结果

观察到超过 Bonferroni 校正阈值 p < 1.46×10 的 52 个关联。本研究中复制了已知的危险因素,如吸烟、胰腺炎、糖尿病、PRS、大量饮酒和超重。对于新的关联,明显表明手机使用的时长和强度以及与压力相关的因素和压力事件与 PDAC 风险的增加有关。尽管 PRS 与 PDAC 风险相关(P = 2.09×10),但未确定具有统计学意义的基因-外显子组相互作用。

结论

总之,我们的结果表明,压力大的生活方式和久坐行为可能独立于遗传背景在 PDAC 易感性中发挥主要作用。

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