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袁晨东, 舒旭峰, 王小强, 揭志刚. 高密度脂蛋白胆固醇与结直肠癌关系的孟德尔随机化研究[J]. 肿瘤防治研究, 2024, 51(10): 847-851. DOI: 10.3971/j.issn.1000-8578.2024.24.0153
引用本文: 袁晨东, 舒旭峰, 王小强, 揭志刚. 高密度脂蛋白胆固醇与结直肠癌关系的孟德尔随机化研究[J]. 肿瘤防治研究, 2024, 51(10): 847-851. DOI: 10.3971/j.issn.1000-8578.2024.24.0153
YUAN Chendong, SHU Xufeng, WANG Xiaoqiang, JIE Zhigang. Relationship Between High-Density Lipoprotein Cholesterol and Colorectal Cancer—A Mendelian Randomization Study[J]. Cancer Research on Prevention and Treatment, 2024, 51(10): 847-851. DOI: 10.3971/j.issn.1000-8578.2024.24.0153
Citation: YUAN Chendong, SHU Xufeng, WANG Xiaoqiang, JIE Zhigang. Relationship Between High-Density Lipoprotein Cholesterol and Colorectal Cancer—A Mendelian Randomization Study[J]. Cancer Research on Prevention and Treatment, 2024, 51(10): 847-851. DOI: 10.3971/j.issn.1000-8578.2024.24.0153

高密度脂蛋白胆固醇与结直肠癌关系的孟德尔随机化研究

Relationship Between High-Density Lipoprotein Cholesterol and Colorectal Cancer—A Mendelian Randomization Study

  • 摘要:
    目的 通过孟德尔随机化方法阐明高密度脂蛋白胆固醇(HDL-C)与结直肠癌(CRC)之间的因果关系。
    方法 使用全基因组关联研究数据集筛选遗传工具变量进行孟德尔随机化分析。主要包括五种方法:逆方差加权法、孟德尔随机化Egger法、加权中位数法、简单模式法以及加权模式法,其中逆方差加权法作为主要分析方法。敏感性分析验证结果的稳健性。
    结果 最终确定了41个与HDL-C相关的遗传工具变量。逆方差加权法(OR=0.84,95%CI:0.73~0.96,P=0.01)与加权中位数法(OR=0.82,95%CI:0.67~0.99,P=0.04)结果均表明遗传决定的HDL-C与CRC风险呈负相关。敏感性分析证明结果不存在异质性和水平多效性(P>0.05)。
    结论 HDL-C与CRC风险存在因果关系,rs1077834可能是HDL-C影响CRC风险的关键所在。

     

    Abstract:
    Objective To elucidate the causal relationship between high-density lipoprotein cholesterol (HDL-C) and colorectal cancer (CRC) through Mendelian randomization.
    Methods Mendelian randomization analysis was conducted using genetic instrumental variables selected from a genome-wide association study dataset. The main methods included inverse variance weighted, MR-Egger, weighted median, simple mode, and weighted mode method; among which, inverse variance weighted method served as the primary analytical approach. Sensitivity analyses were performed to verify the robustness of results.
    Results A total of 41 genetic instrumental variables associated with HDL-C were identified. Inverse variance weighted method (OR=0.84, 95%CI: 0.73-0.96, P=0.01) and weighted median method (OR=0.82, 95%CI: 0.67-0.99, P=0.04) indicated a negative correlation between genetically-determined HDL-C and CRC risk. Sensitivity analyses confirmed the absence of heterogeneity and horizontal pleiotropy (P>0.05).
    Conclusion A causal relationship exists between HDL-C and CRC risk, with rs1077834 as a potential key determinant in the influence of HDL-C on CRC risk.

     

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