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评估乳糜泻与自闭症谱系障碍之间的因果关联:一种两样本孟德尔随机化方法。

Assessing the causal association between celiac disease and autism spectrum disorder: A two-sample Mendelian randomization approach.

作者信息

Fatoba Abiodun, Simpson Claire

机构信息

Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Centers, Memphis, Tennessee, USA.

出版信息

Autism Res. 2025 Jan;18(1):195-201. doi: 10.1002/aur.3257. Epub 2024 Nov 25.

Abstract

The association between celiac disease (CD) and autism spectrum disorder (ASD) remains inconclusive. Reports from different observational studies have become controversial, necessitating exploration of the causal relationship between CD and ASD. To assess true causality, this study used a two-sample Mendelian randomization (MR) analysis to determine the causal association between CD and ASD. Summary-level data from a genome-wide association study (GWAS) of the European population were used to select instrument variables (IVs) at genome-wide significance (p < 5 × 10). The strength of IVs was also evaluated with F-statistics. The inverse variance weighted method (IVW) was the primary MR analysis, supported by other MR tests such as the weighted median method and weighted mode. The presence of horizontal pleiotropy was tested with MR-Egger and MR-PRESSO while other sensitivity analyses such as heterogeneity, leave-one-out analysis, and scatterplot were used to assess the validity of our MR results. Our study did not show an association between CD and ASD (OR, 0.994; 95% CI, 0.935-1.057; p = 0.859). There was also no evidence of horizontal pleiotropy (MR-Egger intercept = 0.015; p-value = 0.223) and heterogeneity (Q = 14.029; p-value = 0.051). These results were also complemented by the leave-one-out analyses, forest plot, and scatter plot, which showed that none of the SNPs influenced the result. The result of this study shows that CD is not causally associated with ASD.

摘要

乳糜泻(CD)与自闭症谱系障碍(ASD)之间的关联尚无定论。不同观察性研究的报告存在争议,因此有必要探究CD与ASD之间的因果关系。为了评估真正的因果关系,本研究采用两样本孟德尔随机化(MR)分析来确定CD与ASD之间的因果关联。利用欧洲人群全基因组关联研究(GWAS)的汇总水平数据,在全基因组显著性水平(p < 5×10)下选择工具变量(IVs)。还使用F统计量评估IVs的强度。逆方差加权法(IVW)是主要的MR分析方法,并得到加权中位数法和加权模式等其他MR检验的支持。使用MR-Egger和MR-PRESSO检验水平多效性的存在,同时使用其他敏感性分析,如异质性分析、留一法分析和散点图,来评估我们MR结果的有效性。我们的研究未显示CD与ASD之间存在关联(OR,0.994;95%CI,0.935 - 1.057;p = 0.859)。也没有水平多效性的证据(MR-Egger截距 = 0.015;p值 = 0.223)和异质性(Q = 14.029;p值 = 0.051)。留一法分析、森林图和散点图也补充了这些结果,表明没有一个单核苷酸多态性(SNP)影响结果。本研究结果表明,CD与ASD之间不存在因果关联。

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