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两样本孟德尔随机化法分析1型糖尿病对结直肠癌的影响

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目的·利用孟德尔随机化法(Mendelian randomization,MR)研究1型糖尿病与结直肠癌间潜在的因果关系.方法·采用两样本双向MR分析评估1型糖尿病与结直肠癌的因果关系.研究数据均来自IEU Open GWAS Project数据库.1型糖尿病的数据集包括患者9 266例和对照人群15 574例,包含12 783 129个单核苷酸多态性(single nucleotide polymorphism,SNP)的关联分析;结直肠癌的数据集包括患者5 657例和对照人群372 016例,包含29 999 696个SNP的关联分析.筛选工具变量SNP,以逆方差加权(inverse variance weighted,IVW)法结果作为效应的主要指标,同时将MR-Egger回归、加权中位数法、基于众数的简单估计、基于众数的加权估计4种方法结果作为参考.采用留一法检验敏感性,采用IVW法和MR-Egger法进行Cochran's Q检验判断异质性,MR-pleiotropy函数检验多效性,采用Steiger检验进行方向性研究.采用共定位分析评估1型糖尿病和结直肠癌之间的效应是否由相同的SNP引起,采用交叉性状连锁不平衡得分回归(linkage disequilibrium score regression,LDSC)分析2种疾病之间的遗传相关性.所有检验采用R语言软件(4.3.1版本)执行分析.结果·经筛选后,共采用工具变量(SNP)33个.异质性检验结果发现,SNP之间存在一定的异质性(IVW法和MR-Egger法结果均P<0.05),因此效应评估采用随机效应模型的结果.正向MR分析结果显示,IVW法、MR-Egger法、加权中位数法、基于众数的加权估计均发现1型糖尿病对结直肠癌存在显著的因果效应(均P<0.05);敏感性分析显示,结果稳定.多效性检验未检测到多效性(P>0.05).Steiger检验发现,1型糖尿病对结直肠癌的效应未受反向作用干扰.反向MR分析未发现结直肠癌对1型糖尿病存在因果效应(均P>0.05).共定位分析结果显示,H4假设概率为45.7%,2种疾病间的因果关系不是由两者基因序列中相同的SNP引起的.LDSC分析显示2种疾病不存在遗传相关性.结论·1型糖尿病可能促进结直肠癌发生,但结直肠癌对1型糖尿病不存在影响.
Analysis of impact of type 1 diabetes on colorectal cancer by using two-sample Mendelian randomization
Objective·To investigate the potential causal relationship between type l diabetes and colorectal cancer by using Mendelian randomization(MR).Methods·Two-sample bidirectional MR was used to investigate the causal relationship between type 1 diabetes and colorectal cancer.All research data were collected from the IEU Open GWAS Project database.The dataset of type l diabetes included 9 266 cases and 15 574 controls,with correlation analysis in 12 783 129 single nucleotide polymorphisms(SNPs);the dataset of colorectal cancer included 5 657 cases and 372 016 controls,with correlation analysis in 29 999 696 SNPs.The instrumental variables SNPs were screened.The results derived from the inverse-variance weighted(IVW)method were used as the main indicator of effect.The results derived from other four methods,namely MR-Egger regression,weighted median,simple mode,and weighted mode,were used as reference.Sensitivity was analyzed with the leave-one-out method.Heterogeneity was analyzed with Cochran's Q test by using both IVW and MR-Egger methods.Pleiotropy was analyzed with MR-pleiotropy function,and Steiger test was used for directional research.The colocation analysis was used to find out whether the causal relationship between type 1 diabetes and colorectal cancer was caused by the same SNP.The genetic correlation between 2 diseases was analyzed by using the linkage disequilibrium score regression(LDSC).All tests were analyzed by using R language software(version 4.3.1).Results·After being screened,a total of 33 instrumental variables(SNPs)were used.The heterogeneity test results showed that there was heterogeneity among the SNPs(IVW and MR-Egger:P<0.05),so the effect evaluation was based on the results of the random effect model.MR analysis showed that type 1 diabetes had a significant causal effect on colorectal cancer(P<0.05)by using IVW,MR-Egger,weighted median and weighted mode.Sensitivity analysis showed that the results were stable.Pleiotropy was not detected in pleiotropy test(P>0.05).Steiger test showed that the effect of type l diabetes on colorectal cancer was not interfered with by the reverse effect.Reverse MR analysis showed no causal effect of colorectal cancer on type l diabetes(P>0.05).The results of colocalization analysis showed that the probability of H4 hypothesis was 45.7%,and the causal relationship between the 2 diseases was not caused by the same SNP in the gene sequences.LDSC analysis demonstrated that there was no genetic correlation between the two diseases.Conclusion·Type 1 diabetes may promote colorectal cancer,but colorectal cancer has no effect on type 1 diabetes.

colorectal cancertype 1 diabetesMendelian randomization

俞洋、孟丹、仇奕文、袁见、朱莹杰

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上海中医药大学附属龙华医院肿瘤一科,上海 200032

结直肠癌 1型糖尿病 孟德尔随机化

上海市临床重点专科建设项目

SHSLCZDZK03701

2024

上海交通大学学报(医学版)
上海交通大学

上海交通大学学报(医学版)

CSTPCD北大核心
影响因子:0.826
ISSN:1674-8115
年,卷(期):2024.44(6)
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