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2型糖尿病与结直肠癌:通过孟德尔随机化探索遗传因果关系

Type 2 diabetes and colorectal cancer: genetic causality explored via Mendelian randomization.

作者信息

Ke Qiuhong, Huang Yongbing, Cheng Libin, Lin Chaolin, Zhao Linhua, Huang Wulong, Chen Zhisheng, Xu Yimin, Huang Yipiao, Cai Lanlan, Lin Bin, Tang Rui

机构信息

Department of Traditional Chinese Medicine Anorectal Department, The First Hospital of Putian City, Putian, China.

Southwest Medical University, Luzhou, China.

出版信息

Discov Oncol. 2024 Nov 28;15(1):721. doi: 10.1007/s12672-024-01621-w.

Abstract

BACKGROUND

The global burden of type 2 diabetes (T2D) and colorectal cancer (CRC) continues to rise. Observational studies have suggested a link between T2D and an elevated risk of CRC. However, these studies are often susceptible to confounding factors and reverse causation, leading to inconsistent findings. There is a specific gap in knowledge regarding the causal nature of the relationship between T2D and CRC, which this study aims to address using a more robust approach. To fill this gap, we employed Mendelian randomization (MR), a method that uses genetic variants as instrumental variables (IVs) to infer causality, providing clearer insight into the genetic links between T2D and CRC.

METHODS

A bidirectional MR study was conducted to investigate the causal links between T2D and CRC. Genetic instruments for T2D were derived from two large genome-wide association studies (GWAS) with a total sample size of X individuals, and CRC genetic instruments were obtained from a GWAS with Y individuals. The MR analysis utilized the inverse-variance weighted (IVW) method as the primary analysis, alongside sensitivity analyses such as heterogeneity and pleiotropy analysis to account for potential pleiotropy and bias. Additionally, to enhance the robustness of the findings and minimize the influence of data from different GWAS sources, we performed a meta-analysis of the IVW results.

RESULTS

The MR analysis and meta-analysis revealed that genetically predicted T2D is associated with an increased risk of CRC (Pooled OR = 1.07, 95% CI 1.02-1.12, P = 0.003). However, the reverse analysis did not indicate a causal effect of genetically predicted CRC on T2D risk (Pooled OR = 1.02, 95% CI 0.96-1.09, P = 0.469). Sensitivity analyses supported the robustness of these findings, indicating no evidence of heterogeneity or pleiotropic effects that could bias the results (all P > 0.05).

CONCLUSION

Our bidirectional MR study and meta-analysis provide evidence that T2D increases the risk of colorectal cancer. However, there is no evidence to support a reverse causal relationship. These findings highlight the importance of monitoring and managing T2D as part of CRC prevention strategies.

摘要

背景

2型糖尿病(T2D)和结直肠癌(CRC)的全球负担持续上升。观察性研究表明T2D与CRC风险升高之间存在联系。然而,这些研究往往易受混杂因素和反向因果关系的影响,导致研究结果不一致。关于T2D与CRC之间关系的因果性质,存在特定的知识空白,本研究旨在采用更稳健的方法来解决这一问题。为填补这一空白,我们采用了孟德尔随机化(MR)方法,该方法使用基因变异作为工具变量(IVs)来推断因果关系,从而更清晰地洞察T2D与CRC之间的遗传联系。

方法

进行了一项双向MR研究,以调查T2D与CRC之间的因果联系。T2D的遗传工具变量来自两项大型全基因组关联研究(GWAS),总样本量为X人,CRC的遗传工具变量则从一项有Y人的GWAS中获得。MR分析采用逆方差加权(IVW)方法作为主要分析方法,同时进行敏感性分析,如异质性和多效性分析,以考虑潜在的多效性和偏差。此外,为增强研究结果的稳健性并最小化来自不同GWAS来源数据的影响,我们对IVW结果进行了荟萃分析。

结果

MR分析和荟萃分析表明,基因预测的T2D与CRC风险增加相关(合并比值比=1.07,95%置信区间1.02 - 1.12,P = 0.003)。然而,反向分析未表明基因预测的CRC对T2D风险有因果效应(合并比值比=1.02,95%置信区间0.96 - 1.09,P = 0.469)。敏感性分析支持了这些研究结果的稳健性,表明没有证据表明存在可能使结果产生偏差的异质性或多效性效应(所有P>0.05)。

结论

我们的双向MR研究和荟萃分析提供了证据,表明T2D会增加结直肠癌的风险。然而,没有证据支持反向因果关系。这些发现凸显了将T2D监测和管理作为CRC预防策略一部分的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11ca/11604986/dcfda7a830e7/12672_2024_1621_Fig1_HTML.jpg

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