Allergic Rhinitis and Cancer Risk: A Two-Sample Mendelian Randomization Study.

IF 1.1 4区 生物学 Q4 GENETICS & HEREDITY Genetic testing and molecular biomarkers Pub Date : 2023-09-01 DOI:10.1089/gtmb.2023.0028
Fang Zhang, Jing Luo, Yang Tian, Bingjie Tang, Hailing Lv, Hai Liu, Jianhui Zhang
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Abstract

Background: There is increasing evidence that allergic rhinitis (AR) is associated with cancer. However, these results are inconsistent. Because of common risk factors, there may be reverse causality and confounding factors that affect our understanding of the relationship between AR and cancer. We aimed to explore the role of AR in cancer development using Mendelian randomization (MR) analysis. Materials and Methods: We performed a two-sample MR analysis using summary data from genome-wide association studies (GWAS). Single nucleotide polymorphisms (SNPs) strongly associated with AR (or hay fever) were used as instrumental variables, mainly using the inverse variance weighted analysis method, supplemented by MR Egger, maximum likelihood, weighted media, and penalized weighted media for MR analysis. Sensitivity analyses included heterogeneity and horizontal pleiotropy; and leave-one-out analyses were performed to test the robustness of our results. Results: MR analysis revealed no evidence of a causal relationship between AR and any of the examined cancers (all p > 0.05). The results using five different analytical approaches were similar. Sensitivity analyses showed no evidence of heterogeneity nor horizontal pleiotropy. According to the leave-one-out sensitivity analyses, no individual SNP was significantly influencing the causal effect of AR on cancers. Conclusions: These findings do not provide evidence to support that AR has a large impact on the risk of eight common cancers in the European population. However, we cannot rule out a very minor effect of AR on cancer. Further large-scale studies are necessary to validate our findings.

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过敏性鼻炎与癌症风险:一项两样本孟德尔随机化研究。
背景:越来越多的证据表明过敏性鼻炎(AR)与癌症相关。然而,这些结果并不一致。由于常见的风险因素,可能存在反向因果关系和混淆因素,影响我们对AR与癌症之间关系的理解。我们的目的是通过孟德尔随机化(MR)分析来探索AR在癌症发展中的作用。材料和方法:我们使用全基因组关联研究(GWAS)的汇总数据进行了两个样本的MR分析。与AR(或花粉热)密切相关的单核苷酸多态性(SNPs)被用作工具变量,主要使用逆方差加权分析方法,辅以MR Egger、最大似然、加权介质和惩罚加权介质进行MR分析。敏感性分析包括异质性和水平多效性;并进行了留一分析,以测试我们的结果的稳健性。结果:MR分析显示AR与任何检查的癌症之间没有因果关系的证据(所有p > 0.05)。使用五种不同分析方法的结果是相似的。敏感性分析没有显示异质性或水平多效性的证据。根据漏一敏感性分析,没有任何单个SNP显著影响AR对癌症的因果影响。结论:这些发现没有提供证据支持AR对欧洲人群中八种常见癌症的风险有很大影响。然而,我们不能排除AR对癌症的微小影响。需要进一步的大规模研究来验证我们的发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.50
自引率
7.10%
发文量
63
审稿时长
1 months
期刊介绍: Genetic Testing and Molecular Biomarkers is the leading peer-reviewed journal covering all aspects of human genetic testing including molecular biomarkers. The Journal provides a forum for the development of new technology; the application of testing to decision making in an increasingly varied set of clinical situations; ethical, legal, social, and economic aspects of genetic testing; and issues concerning effective genetic counseling. This is the definitive resource for researchers, clinicians, and scientists who develop, perform, and interpret genetic tests and their results. Genetic Testing and Molecular Biomarkers coverage includes: -Diagnosis across the life span- Risk assessment- Carrier detection in individuals, couples, and populations- Novel methods and new instrumentation for genetic testing- Results of molecular, biochemical, and cytogenetic testing- Genetic counseling
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