[A two-sample Mendelian randomization study on the association between temporomandibular disorder and insomnia].

Wei Yuan, Yiming Cheng, Yunyi Cui, Duoduo Gao
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引用次数: 0

Abstract

Objectives: This study aimed to investigate the association between temporomandibular disorder (TMD) and insomnia using a two-sample Mendelian randomization (MR) approach.

Methods: Bidirectional MR analyses of two samples, TMD (n=377 277) and insomnia (n=375 359), were performed using genome-wide association study statistics published in the FinnGen database. Instrumental variables were first screened, and then inverse variance weighting (IVW) and MR-Egger were used as the main-effect assessment methods. Weighted median, weighted mode, and simple mode served as supplementary methods. We used IVW and MR-Egger to test for heterogeneity, as well as MR-Egger intercepts to assess the single nucleotide polymorphism (SNP) potential level of multiplicity effects. Sensitivity analyses were conducted based on leave-one-out to identify potentially influential SNPs. All analyses were conducted by using the two-sample MR R package and were considered statistically significant when P<0.05.

Results: MR analysis showed the presence of TMD on insomnia (OR=1.089, 95%CI: 1.017-1.166, P=0.014). Meanwhile, no effect of insomnia on TMD (OR=0.996, 95%CI: 0.964-1.029, P=0.816) was found. The sensitivity-analysis showed that no heterogeneity existed (P>0.05), and the presence of horizontal pleiotropy was not detected (P>0.05). Leave-one-out sensitivity analysis showed no single SNP, which may affect the causal relation. All findings indicated that the causal relationship between TMD and insomnia was not significantly affected by any individual SNP and that IV did not bias the results.

Conclusions: Results of MR analyses showed that TMD is a risk factor for insomnia, whereas insomnia is not a risk factor for TMD.

[一项关于颞下颌紊乱与失眠关系的双样本孟德尔随机研究]。
目的:本研究旨在通过双样本孟德尔随机化(MR)方法探讨颞下颌紊乱(TMD)与失眠之间的关系。方法:采用FinnGen数据库中公布的全基因组关联研究统计数据,对TMD (n=377 277)和失眠(n=375 359)两例患者进行双向MR分析。首先筛选工具变量,然后采用逆方差加权法(IVW)和MR-Egger法作为主效应评价方法。加权中位数、加权众数和简单众数作为辅助方法。我们使用IVW和MR-Egger来检验异质性,并使用MR-Egger拦截来评估多重效应的单核苷酸多态性(SNP)潜在水平。敏感性分析是基于“留一”进行的,以确定潜在的影响snp。所有分析均采用双样本MR R包进行,结果:MR分析显示TMD对失眠存在影响(OR=1.089, 95%CI: 1.017-1.166, P=0.014)。失眠对TMD无影响(OR=0.996, 95%CI: 0.964 ~ 1.029, P=0.816)。敏感性分析显示不存在异质性(P>0.05),未检测到水平多效性(P>0.05)。留一敏感性分析未发现单一SNP,可能影响因果关系。所有研究结果表明,TMD和失眠之间的因果关系不受任何个体SNP的显著影响,IV不影响结果。结论:MR分析结果显示TMD是失眠的危险因素,而失眠不是TMD的危险因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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