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失眠对双相情感障碍、抑郁症和精神分裂症的因果效应:一项两样本孟德尔随机化研究。

The Causal Effects of Insomnia on Bipolar Disorder, Depression, and Schizophrenia: A Two-Sample Mendelian Randomization Study.

作者信息

Huang Peng, Zou Yixin, Zhang Xingyu, Ye Xiangyu, Wang Yidi, Yu Rongbin, Yang Sheng

机构信息

Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.

Thomas E. Starzl Transplantation Institute, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, United States.

出版信息

Front Genet. 2021 Oct 11;12:763259. doi: 10.3389/fgene.2021.763259. eCollection 2021.

Abstract

Psychiatric disorder, including bipolar disorder (BD), major depression (MDD), and schizophrenia (SCZ), affects millions of persons around the world. Understanding the disease causal mechanism underlying the three diseases and identifying the modifiable risk factors for them hold the key for the development of effective preventative and treatment strategies. We used a two-sample Mendelian randomization method to assess the causal effect of insomnia on the risk of BD, MDD, and SCZ in a European population. We collected one dataset of insomnia, three of BD, one of MDD, and three of SCZ and performed a meta-analysis for each trait, further verifying the analysis through extensive complementarity and sensitivity analysis. Among the three psychiatric disorders, we found that only insomnia is causally associated with MDD and that higher insomnia increases the risk of MDD. Specifically, the odds ratio of MDD increase of insomnia is estimated to be 1.408 [95% confidence interval (CI): 1.210-1.640, = 1.03E-05] in the European population. The identified causal relationship between insomnia and MDD is robust with respect to the choice of statistical methods and is validated through extensive sensitivity analyses that guard against various model assumption violations. Our results provide new evidence to support the causal effect of insomnia on MDD and pave ways for reducing the psychiatric disorder burden.

摘要

精神疾病,包括双相情感障碍(BD)、重度抑郁症(MDD)和精神分裂症(SCZ),影响着全球数百万人。了解这三种疾病背后的病因机制并确定其可改变的风险因素是制定有效预防和治疗策略的关键。我们使用两样本孟德尔随机化方法评估失眠对欧洲人群中BD、MDD和SCZ风险的因果效应。我们收集了一个失眠数据集、三个BD数据集、一个MDD数据集和三个SCZ数据集,并对每个性状进行了荟萃分析,通过广泛的互补性和敏感性分析进一步验证了分析结果。在这三种精神疾病中,我们发现只有失眠与MDD存在因果关联,且失眠程度越高,MDD风险越高。具体而言,在欧洲人群中,失眠导致MDD增加的优势比估计为1.408 [95%置信区间(CI):1.210 - 1.640,P = 1.03E - 05]。失眠与MDD之间已确定的因果关系在统计方法选择方面具有稳健性,并通过防范各种模型假设违背的广泛敏感性分析得到验证。我们的结果为支持失眠对MDD的因果效应提供了新证据,并为减轻精神疾病负担铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7225/8542855/cfd4d4ed39ef/fgene-12-763259-g001.jpg

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