探索结直肠癌和胃癌的代谢组学驱动因素:一项孟德尔随机研究。

Yiming Wang, Mi Jian, Jinchen Hu
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引用次数: 0

摘要

目的:探讨1400种代谢物与结、胃癌的因果关系。研究设计:孟德尔随机化研究。研究地点和时间:中国烟台,青岛大学附属烟台毓皇顶医院,2024年7月- 8月。方法:代谢物全基因组关联研究(GWAS)数据和遗传数据分别来自加拿大老龄化纵向研究(CLSA)和昂贵的FinnGen项目。根据其与代谢物在全基因组显著性水平上的相关性选择合适的工具变量,从而确保所得出的因果推断的高度可靠性。采用方差逆加权(IVW)进行初步分析。使用MR Egger回归和加权中位数方法进行敏感性分析,以验证结果并评估潜在的多效性或偏倚。结果:8299名个体的代谢物被纳入研究。胃癌1307例,对照组287137例;而结直肠癌包括6,509例和287,137例对照。该研究确定了69种代谢物与不同程度的风险增加或减轻有关。对于胃癌,一项更有针对性的发现强调了两种代谢物,它们与风险增加和保护作用有显著的因果关系。敏感性分析证实了这些发现的有效性。结论:通过阐明对结直肠癌和胃癌风险产生直接因果影响的特定代谢物,本研究标志着对参与癌症发展的代谢途径的理解取得了重大进展。关键词:孟德尔随机化,结直肠癌,胃癌,代谢物,遗传变异,全基因组关联研究,因果推断
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring Metabolomic Drivers of Colorectal and Gastric Cancer: A Mendelian Randomisation Study.

Objective: To evaluate the causal relationship between 1,400 metabolites and colorectal and gastric cancer.

Study design: Mendelian randomisation study. Place and Duration of the Study: The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China, from July to August 2024.

Methodology: Metabolite genome-wide association study (GWAS) data and genetic data from the Canadian Longitudinal Study on Aging (CLSA) as well as the expensive FinnGen project, respectively, were sourced. Suitable instrumental variables were chosen based on their association with metabolites at a genome-wide significance level, thus ensuring a high degree of reliability in the causal inferences drawn. Inverse variance weighting (IVW) was used for initial analysis. Sensitivity analyses were conducted using MR Egger regression and weighted median methods to validate findings and assess potential pleiotropy or bias.

Results: Metabolites were included in the study of 8,299 individuals. Gastric cancer included 1,307 cases and 287,137 controls; while colorectal cancer included 6,509 cases and 287,137 controls. The research identified sixty-nine metabolites associated with varying degrees of risk enhancement or mitigation. For gastric cancer, a more focused discovery highlighted two metabolites with significant causal links-associated with increased risk as well as a protective effect. Sensitivity analyses confirmed the validity of these findings.

Conclusion: By elucidating specific metabolites that exert direct causal effects on colorectal and gastric cancer risk, the study marked a significant advancement in the understanding of the metabolic pathways involved in cancer development.

Key words: Mendelian randomisation, Colorectal cancer, Gastric cancer, Metabolites, Genetic variants, Genome-wide association studies, Causal inference.

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