Yayong Cui, Junyu Chen, Hong Li, Dong Zheng, Xiaolei Shi
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The primary analysis included genetic variants with a <i>p</i> value of less than 1 × 10<sup>–5</sup> as instrumental variables. We applied several alternative methods, including inverse variance weighting, weighted median, simple mode, weighted mode, MR-Egger regression and MR pleiotropy residual sum and outlier, and statistical graphs to assess the associations of epilepsy and its subtype with the risk of ALS. Reverse MR analyses were also performed to examine the association of ALS with the risk of epilepsy.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The primary MR analysis found no causal effect of epilepsy on risk of ALS (odds ration [OR]: 1.133, 95% confidence interval [CI]: 0.964–1.332, <i>p</i> = .130). Among subtypes of epilepsy, it also failed to observe any causal association between general epilepsy and ALS (OR: 1.036, 95% CI: 0.969–1.108, <i>P</i> = .300). However, focal epilepsy contributed to an increase in the risk of ALS (OR: 1.177, 95% CI: 1.027–1.348, <i>p</i> = .019). Moreover, the investigation of reverse causalities did not reveal significant results.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>The current study supports a causal influence of focal epilepsy on ALS risk. Future studies are needed to explore its potential role in ALS.</p>\n </section>\n </div>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/brb3.70018","citationCount":"0","resultStr":"{\"title\":\"The causal association between epilepsy and amyotrophic lateral sclerosis: A two-sample Mendelian randomization study\",\"authors\":\"Yayong Cui, Junyu Chen, Hong Li, Dong Zheng, Xiaolei Shi\",\"doi\":\"10.1002/brb3.70018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objectives</h3>\\n \\n <p>Epilepsy and amyotrophic lateral sclerosis (ALS) are common neurological disorders. The association between the two disorders has been raised in observational studies. However, it is uncertain to what extent they have mutual causal effects. In this study, we aimed to investigate their causal association using a two-sample Mendelian randomization (MR) method.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>We performed a two-sample bidirectional MR analysis to evaluate the causal association of epilepsy with the risk of ALS. Publicly published genome-wide association study statistics for epilepsy and ALS were used in the study. The primary analysis included genetic variants with a <i>p</i> value of less than 1 × 10<sup>–5</sup> as instrumental variables. We applied several alternative methods, including inverse variance weighting, weighted median, simple mode, weighted mode, MR-Egger regression and MR pleiotropy residual sum and outlier, and statistical graphs to assess the associations of epilepsy and its subtype with the risk of ALS. 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引用次数: 0
摘要
目的 癫痫和肌萎缩性脊髓侧索硬化症(ALS)是常见的神经系统疾病。观察性研究发现,这两种疾病之间存在关联。然而,目前还不能确定这两种疾病在多大程度上存在互为因果的效应。在本研究中,我们旨在使用双样本孟德尔随机化(MR)方法研究它们之间的因果关系。 方法 我们进行了双样本双向 MR 分析,以评估癫痫与 ALS 风险的因果关系。研究采用了公开发表的癫痫和 ALS 全基因组关联研究统计数据。主要分析将 p 值小于 1 × 10-5 的遗传变异作为工具变量。我们采用了几种替代方法,包括反方差加权法、加权中位数法、简单模式法、加权模式法、MR-Egger 回归法和 MR pleiotropy 残差和离群值法,以及统计图表法来评估癫痫及其亚型与 ALS 风险的关联。此外,还进行了反向磁共振分析,以研究 ALS 与癫痫风险的关联。 结果 主要的 MR 分析发现,癫痫与 ALS 风险没有因果关系(赔率 [OR]:1.133,95% 置信区间 [CI]:0.964-1.332, p = .130).在癫痫的亚型中,也没有观察到一般癫痫与 ALS 之间存在任何因果关系(OR:1.036,95% 置信区间:0.969-1.108,P = .300)。然而,局灶性癫痫会导致 ALS 风险增加(OR:1.177,95% CI:1.027-1.348,P = .019)。此外,对反向因果关系的调查也未发现显著结果。 结论 目前的研究支持局灶性癫痫对 ALS 风险的因果影响。未来的研究需要探索其在 ALS 中的潜在作用。
The causal association between epilepsy and amyotrophic lateral sclerosis: A two-sample Mendelian randomization study
Objectives
Epilepsy and amyotrophic lateral sclerosis (ALS) are common neurological disorders. The association between the two disorders has been raised in observational studies. However, it is uncertain to what extent they have mutual causal effects. In this study, we aimed to investigate their causal association using a two-sample Mendelian randomization (MR) method.
Methods
We performed a two-sample bidirectional MR analysis to evaluate the causal association of epilepsy with the risk of ALS. Publicly published genome-wide association study statistics for epilepsy and ALS were used in the study. The primary analysis included genetic variants with a p value of less than 1 × 10–5 as instrumental variables. We applied several alternative methods, including inverse variance weighting, weighted median, simple mode, weighted mode, MR-Egger regression and MR pleiotropy residual sum and outlier, and statistical graphs to assess the associations of epilepsy and its subtype with the risk of ALS. Reverse MR analyses were also performed to examine the association of ALS with the risk of epilepsy.
Results
The primary MR analysis found no causal effect of epilepsy on risk of ALS (odds ration [OR]: 1.133, 95% confidence interval [CI]: 0.964–1.332, p = .130). Among subtypes of epilepsy, it also failed to observe any causal association between general epilepsy and ALS (OR: 1.036, 95% CI: 0.969–1.108, P = .300). However, focal epilepsy contributed to an increase in the risk of ALS (OR: 1.177, 95% CI: 1.027–1.348, p = .019). Moreover, the investigation of reverse causalities did not reveal significant results.
Conclusions
The current study supports a causal influence of focal epilepsy on ALS risk. Future studies are needed to explore its potential role in ALS.