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通过孟德尔随机化分析探究生活方式对教育在癌症风险方面的影响的贡献。

Exploring the contribution of lifestyle to the impact of education on the risk of cancer through Mendelian randomization analysis.

机构信息

Department of Life Sciences, College of Health, Medicine and Life Sciences, Brunel University London, Kingston Lane, Uxbridge, London, UB8 3PH2, UK.

Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, London, W2 1PG, UK.

出版信息

Sci Rep. 2024 Mar 13;14(1):6074. doi: 10.1038/s41598-024-54259-7.

Abstract

Educational attainment (EA) has been linked to the risk of several types of cancer, despite having no expected direct biological connection. In this paper, we investigate the mediating role of alcohol consumption, smoking, vegetable consumption, fruit consumption and body mass index (BMI) in explaining the effect of EA on 7 cancer groupings. Large-scale genome wide association study (GWAS) results were used to construct the genetic instrument for EA and the lifestyle factors. We conducted GWAS in the UK Biobank sample in up to 335,024 individuals to obtain genetic association data for the cancer outcomes. Univariable and multivariable two-sample Mendelian randomization (MR) analyses and mediation analyses were then conducted to explore the causal effect and mediating proportions of these relations. MR mediation analysis revealed that reduced lifetime smoking index accounted for 81.7% (49.1% to 100%) of the protective effect of higher EA on lower respiratory cancer. Moreover, the effect of higher EA on lower respiratory cancer was mediated through vegetable consumption by 10.2% (4.4% to 15.9%). We found genetic evidence that the effect of EA on groups of cancer is due to behavioural changes in avoiding well established risk factors such as smoking and vegetable consuming.

摘要

教育程度 (EA) 与多种类型的癌症风险有关,尽管没有预期的直接生物学联系。在本文中,我们研究了酒精消费、吸烟、蔬菜消费、水果消费和体重指数 (BMI) 在解释 EA 对 7 种癌症分组的影响中的中介作用。利用大规模全基因组关联研究 (GWAS) 的结果构建了 EA 和生活方式因素的遗传工具。我们在 UK Biobank 样本中进行了 GWAS,在多达 335,024 名个体中获得了癌症结局的遗传关联数据。然后进行了单变量和多变量两样本 Mendelian 随机化 (MR) 分析和中介分析,以探讨这些关系的因果效应和中介比例。MR 中介分析表明,终生吸烟指数的减少解释了较高 EA 对较低呼吸系统癌症的保护作用的 81.7%(49.1%至 100%)。此外,EA 对较低呼吸系统癌症的影响通过蔬菜消费来介导,占 10.2%(4.4%至 15.9%)。我们发现遗传证据表明,EA 对癌症组的影响是由于行为上避免了已确立的风险因素,如吸烟和蔬菜摄入。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0255/10937644/65027e570110/41598_2024_54259_Fig1_HTML.jpg

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