Genetic causality between insomnia and specific orthopedic conditions: Insights from a two-sample Mendelian randomization study.

IF 3.9
Mingyi Yang, Jiale Xie, Yani Su, Ke Xu, Pengfei Wen, Xianjie Wan, Hui Yu, Zhi Yang, Lin Liu, Peng Xu
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Abstract

Objective: To investigate the genetic causality for the insomnia and common orthopedic diseases, such as rheumatoid arthritis (RA), ankylosing spondylitis (AS), osteoporosis (OP), and gout (GT).

Methods: The genome-wide association study (GWAS) summary data on insomnia were obtained from a published study, while the GWAS summary data on RA, AS, OP, and GT were sourced from the FinnGen consortium. We utilized the TwoSampleMR package of the R software (version 4.1.2) to conduct a two-sample Mendelian randomization (MR) analysis. Our primary method of analysis was the random-effects inverse variance weighted (IVW) approach. Subsequently, we conducted a series of sensitivity analyses for the MR analysis.

Results: The MR analysis revealed a positive genetic causal relationship between insomnia and RA (P = 0.016, odds ratio [OR] 95 % confidence interval [CI] = 1.112 [1.020-1.212]). However, no significant genetic causal relationship was observed between insomnia and AS (P = 0.194, OR 95 % CI = 1.121 [0.944-1.331]), OP (P = 0.788, OR 95 % CI = 1.016 [0.904-1.142]), and GT (P = 0.757, OR 95 % CI = 1.018 [0.912-1.136]). The MR analysis did not exhibit heterogeneity, horizontal pleiotropy, outlier effects, or dependence on a single SNP, and demonstrated normal distribution, which guaranteed the robustness of the results.

Conclusion: The results of this study suggest that insomnia may be a significant risk factor for RA, and controlling insomnia may represent a promising strategy for preventing RA. While insomnia was not observed to be associated with AS, OP, and GT at the genetic level, other levels of association cannot be excluded.

失眠与特定骨科疾病之间的遗传因果关系:来自两样本孟德尔随机化研究的见解。
目的:探讨失眠与类风湿关节炎(RA)、强直性脊柱炎(as)、骨质疏松症(OP)、痛风(GT)等常见骨科疾病的遗传因果关系。方法:失眠的全基因组关联研究(GWAS)汇总数据来自一项已发表的研究,而RA、AS、OP和GT的GWAS汇总数据来自FinnGen联盟。我们利用R软件(版本4.1.2)的TwoSampleMR包进行双样本孟德尔随机化(MR)分析。我们的主要分析方法是随机效应逆方差加权(IVW)方法。随后,我们对MR分析进行了一系列敏感性分析。结果:MR分析显示失眠与RA之间存在正遗传因果关系(P = 0.016,比值比[OR] 95 %可信区间[CI] = 1.112[1.020-1.212])。然而,没有明显的基因之间的因果关系观察失眠和(P = 0.194或95 CI  % = 1.121 [0.944 - -1.331]),OP (P = 0.788或95 CI  % = 1.016[0.904 - -1.142]),和GT (P = 0.757或95 CI  % = 1.018[0.912 - -1.136])。MR分析没有表现出异质性、水平多效性、离群效应或对单个SNP的依赖,呈现正态分布,保证了结果的稳健性。结论:本研究结果提示失眠可能是RA的重要危险因素,控制失眠可能是预防RA的一个有希望的策略。虽然未观察到失眠与AS、OP和GT在遗传水平上的关联,但不能排除其他水平的关联。
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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来源期刊
Experimental gerontology
Experimental gerontology Ageing, Biochemistry, Geriatrics and Gerontology
CiteScore
6.70
自引率
0.00%
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0
审稿时长
66 days
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