Causal relationship between sleep traits and risk of Epilepsy: A Mendelian randomization study

IF 2.3 3区 医学 Q2 BEHAVIORAL SCIENCES Epilepsy & Behavior Pub Date : 2025-04-01 Epub Date: 2025-02-24 DOI:10.1016/j.yebeh.2025.110310
Kaiji Li , Haonan Li , Jinchao Wang , Xin Chen , Lei Li , Cong Wang , Shu Zhang , Jianning Zhang
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Abstract

Background

Observational studies have identified a strong correlation between epilepsy and sleep traits, highlighting their interactive relationship. However, no studies have specifically examined the associations between sleep traits and epilepsy. In this context, we conducted a Mendelian Randomization (MR) investigation to explore the causal nature of these associations.

Methods

We performed a two-sample Mendelian Randomization (MR) analysis model to genetically predict the causal effects of morning chronotype on epilepsy. Five MR analysis methods were conducted to analyze the final results. The inverse-variance weighted (IVW) method was used as the primary outcome. The other MR analysis methods (MR‐Egger; Weighted Mode; and Weighted median (WM)) were conducted as the complement to IVW. In addition, the robustness of the MR analysis results was assessed by leave-one-out analysis.

Results

In forward MR, epilepsy showed causal relationships with sleep duration (IVW beta = 0.008, P = 0.015). Specifically, doubling the odds of inheriting epilepsy may be associated with a 0.0075 standard deviation (SD) (95 % CI: 1.001 to 1.014) increase in sleep duration. In reverse MR, we found statistically significant associations between chronotype (evening preference) (OR = 1.397, p = 0.007) and insomnia (OR = 2.280, p = 0.025) and the risk of epilepsy.

Conclusion

Our two-sample Mendelian randomization analyses indicate that individuals with epilepsy frequently experience extended sleep duration. Additionally, we identified insomnia and chronotype (evening preference) as significant risk factors that increase the likelihood of developing epilepsy.
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睡眠特征与癫痫风险的因果关系:一项孟德尔随机研究
观察性研究已经发现癫痫和睡眠特征之间存在很强的相关性,强调了它们之间的互动关系。然而,没有研究专门研究睡眠特征和癫痫之间的关系。在此背景下,我们进行了孟德尔随机化(MR)调查,以探索这些关联的因果性质。方法采用双样本孟德尔随机化(MR)分析模型,从遗传学角度预测晨起时间型对癫痫的因果影响。采用5种MR分析方法对最终结果进行分析。采用反方差加权(IVW)方法作为主要结局。其他MR分析方法(MR‐Egger;加权模式;加权中位数(WM))作为IVW的补充。此外,通过留一分析来评估MR分析结果的稳健性。结果前向MR中,癫痫与睡眠时间呈正相关(IVW β = 0.008, P = 0.015)。具体来说,遗传癫痫的几率加倍可能与睡眠时间增加0.0075标准差(95% CI: 1.001至1.014)有关。在反向MR中,我们发现睡眠类型(晚上偏好)(OR = 1.397, p = 0.007)和失眠(OR = 2.280, p = 0.025)与癫痫风险之间有统计学意义的关联。结论我们的两样本孟德尔随机分析表明癫痫患者经常经历睡眠时间延长。此外,我们确定失眠和睡眠类型(晚上偏好)是增加癫痫发生可能性的重要危险因素。
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来源期刊
Epilepsy & Behavior
Epilepsy & Behavior 医学-行为科学
CiteScore
5.40
自引率
15.40%
发文量
385
审稿时长
43 days
期刊介绍: Epilepsy & Behavior is the fastest-growing international journal uniquely devoted to the rapid dissemination of the most current information available on the behavioral aspects of seizures and epilepsy. Epilepsy & Behavior presents original peer-reviewed articles based on laboratory and clinical research. Topics are drawn from a variety of fields, including clinical neurology, neurosurgery, neuropsychiatry, neuropsychology, neurophysiology, neuropharmacology, and neuroimaging. From September 2012 Epilepsy & Behavior stopped accepting Case Reports for publication in the journal. From this date authors who submit to Epilepsy & Behavior will be offered a transfer or asked to resubmit their Case Reports to its new sister journal, Epilepsy & Behavior Case Reports.
期刊最新文献
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