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基于双向孟德尔随机化的不同BMI分型非酒精性脂肪性肝病与2型糖尿病的遗传关联分析

段浩鑫 江宇泳 吴亭彧 熊飞翔 姜艳丹 张琴 赵赛赛 于浩

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基于双向孟德尔随机化的不同BMI分型非酒精性脂肪性肝病与2型糖尿病的遗传关联分析

DOI: 10.12449/JCH241011
基金项目: 

北京市高层次公共卫生技术人才建设项目培养计划 (Discipline Leader-03-04);

首都卫生科研发展专项基金 (2020-2-2172)

利益冲突声明:本文不存在任何利益冲突。
作者贡献声明:段浩鑫负责文章设计,数据处理与分析,论文撰写;江宇泳、于浩负责思路指正,写作指导和文章修改;吴亭彧、熊飞翔负责数据处理与分析;姜艳丹、张琴、赵赛赛负责文献检索,数据搜集。
详细信息
    通信作者:

    于浩, yuhaodtyy@126.com (ORCID: 0000-0002-2213-0725)

The genetic association between nonalcoholic fatty liver disease and type 2 diabetes mellitus in different body mass index categories: A bidirectional Mendelian randomization study

Research funding: 

Beijing Municipal High Rank Public Health Researcher Training Program (Discipline Leader-03-04);

Capital Health Research and Development Project (2020-2-2172)

More Information
    Corresponding author: YU Hao, yuhaodtyy@126.com (ORCID: 0000-0002-2213-0725)
  • 摘要:   目的  运用双向双样本孟德尔随机化(MR)评估非酒精性脂肪性肝病(NAFLD)与2型糖尿病(T2DM)的遗传关联,并进一步探讨不同BMI的NAFLD人群与T2DM的因果关系。  方法  数据来源于以欧洲人群为研究对象的全基因组关联研究,其中NAFLD的样本量为32 941例,T2DM为312 646例,BMI为681 275例。运用单变量、多变量MR方法评估NAFLD总人群及各BMI亚型与T2DM之间的双向因果关系。采用逆方差加权法、MR-Egger回归、约束最大似然与模型平均法、加权中位数法进行MR分析,采用MR多效性残差和与离群值、径向MR、MR-Egger截距法、Cochran Q检验进行敏感性分析。  结果  单变量MR分析显示NAFLD总人群与T2DM之间存在双向因果关系(正向OR=9.75,95%CI:2.57~37.00,P<0.001;反向OR=1.01,95%CI:1.00~1.01,P<0.01)。多变量MR分析显示经BMI校正后,NAFLD总人群与T2DM的因果关系仍然保持显著(OR=33.12,95%CI:7.57~144.95,P<0.000 1)。亚组分析显示,NAFLD各亚组均与T2DM存在因果关系(瘦型OR=12.19,95%CI:3.35~44.40,P<0.001;超重型OR=4.30,95%CI:1.69~10.92,P<0.01;肥胖型OR=1.67,95%CI:1.14~2.44,P<0.01)。  结论  本研究从遗传学层面揭示了NAFLD总人群及各BMI亚型与T2DM之间的因果关系。

     

  • 图  1  研究流程图

    注: IVW,逆方差加权法;cML-MA,约束最大似然与模型平均法;WM,加权中位数法;MR-PRESSO,MR多效性残差和与离群值检验。

    Figure  1.  Study flowchart

    图  2  NAFLD总人群与T2DM的双向单变量MR结果

    Figure  2.  Bidirectional univariate MR results of NAFLD and T2DM in the overall population

    图  3  经BMI调整后的多变量MR分析结果

    Figure  3.  Multivariate MR analysis results adjusted for BMI

    图  4  NAFLD亚组与T2DM的双向单变量MR结果

    Figure  4.  Bidirectional univariate MR results of NAFLD subgroups and T2DM

    图  5  Leave-one-out检验结果

    Figure  5.  Leave-one-out test results

    表  1  各表型GWAS数据汇总信息

    Table  1.   Summary information of GWAS data for each phenotype

    表型 数据来源 PMID 样本量(例) 种族
    NAFLD(总人群) UKB 37235137 32 941 欧洲
    瘦型NAFLD UKB 37235137 13 614 欧洲
    超重型NAFLD UKB 37235137 13 710 欧洲
    肥胖型NAFLD UKB 37235137 5 617 欧洲
    T2DM CMDKP 34862199 312 646 欧洲
    BMI GIANT 30124842 681 275 欧洲

    注:PMID,PubMed唯一标识码。

    下载: 导出CSV

    表  2  NAFLD各组与T2DM的敏感性分析

    Table  2.   Sensitivity analysis of NAFLD subgroups and T2DM

    暴露 结局 正向 反向
    异质性(P值) 水平多效性 异质性(P值) 水平多效性
    MR-Egger截距法P MR-PRESSO P MR-PRESSO 剔除SNP MR-Egger截距法P MR-PRESSO P MR-PRESSO 剔除SNP
    NAFLD总人群 T2DM 0.02 0.69 0.32 0.41 0.91 0.38
    瘦型NAFLD T2DM 0.98 0.05 0.71

    rs17547923,

    rs584898061)

    0.99 0.30 0.99
    超重型NAFLD T2DM 0.04 0.39 0.21 0.61 0.40 0.58
    肥胖型NAFLD T2DM 0.74 0.32 0.60 1.00 0.87 1.00

    注:1)第一次MR-Egger截距法P=0.002,进一步采用径向MR剔除的SNP离群值。

    下载: 导出CSV
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