PDF(Pubmed)
Abstract：
BACKGROUND: Many patients with asthma experience alopecia areata (AA) in their lives. However, it is unclear whether asthma causes or results from AA. Our objective was to investigate the genetic causal relationship between asthma and AA.
METHODS: Two-sample Mendelian randomization (MR) was used to assess the causal relationship between asthma and AA based on the largest publicly available genome-wide association study summary statistics. Androgenetic alopecia (AGA) and cicatricial alopecia (CA) were chosen as the control groups for AA. The main estimates were obtained using inverse variance weighting meta-analysis (IVW), Mendelian randomization-Egger (MR-Egger), maximum likelihood estimation, and the weighted median. Sensitivity analyses were conducted using Cochran\'s Q test, MR-Egger, and leave-one-out methods. Lastly, we conducted a reverse MR analysis to evaluate the possibility of reverse causation.
RESULTS: Genetically, asthma is associated with an increased risk of AA, while the association between genetically predicted AGA or CA and asthma was negative. The risk of AA increased by 1.86 times in patients with asthma under the IVW method (OR = 1.86, 95% CI = 1.31-2.629, p < 0.001). The reverse MR analysis did not find evidence supporting reverse causality from three phenotypes of alopecia to asthma. Sensitivity analyses yielded consistent causal estimates.
CONCLUSIONS: This study suggests that asthma is causally associated with AA. The findings deepen our understanding of the role of asthma in the pathology of AA, which emphasizes the potential for opening a new vista for the prevention and diagnosis of AA.
METHODS: Two-sample Mendelian randomization (MR) was used to assess the causal relationship between asthma and AA based on the largest publicly available genome-wide association study summary statistics. Androgenetic alopecia (AGA) and cicatricial alopecia (CA) were chosen as the control groups for AA. The main estimates were obtained using inverse variance weighting meta-analysis (IVW), Mendelian randomization-Egger (MR-Egger), maximum likelihood estimation, and the weighted median. Sensitivity analyses were conducted using Cochran\'s Q test, MR-Egger, and leave-one-out methods. Lastly, we conducted a reverse MR analysis to evaluate the possibility of reverse causation.
RESULTS: Genetically, asthma is associated with an increased risk of AA, while the association between genetically predicted AGA or CA and asthma was negative. The risk of AA increased by 1.86 times in patients with asthma under the IVW method (OR = 1.86, 95% CI = 1.31-2.629, p < 0.001). The reverse MR analysis did not find evidence supporting reverse causality from three phenotypes of alopecia to asthma. Sensitivity analyses yielded consistent causal estimates.
CONCLUSIONS: This study suggests that asthma is causally associated with AA. The findings deepen our understanding of the role of asthma in the pathology of AA, which emphasizes the potential for opening a new vista for the prevention and diagnosis of AA.
摘要：
背景：许多哮喘患者在他们的生活中经历斑秃（AA）。然而,目前尚不清楚哮喘是由AA引起还是由AA引起.我们的目的是研究哮喘与AA之间的遗传因果关系。
方法：根据公开的最大的全基因组关联研究汇总统计，使用双样本孟德尔随机化（MR）评估哮喘与AA之间的因果关系。选择雄激素性脱发（AGA）和瘢痕性脱发（CA）作为AA的对照组。主要估计是使用逆方差加权荟萃分析(IVW)获得的，孟德尔随机化-Egger（MR-Egger），最大似然估计，和加权中位数。敏感性分析使用CochranQ检验进行，MR-Egger,和遗漏的方法。最后,我们进行了反向MR分析,以评估反向因果关系的可能性.
结果：遗传，哮喘与AA的风险增加有关，而遗传预测的AGA或CA与哮喘之间的关联为阴性。IVW法下哮喘患者AA风险增加1.86倍(OR=1.86,95%CI=1.31-2.629,p<0.001)。反向MR分析没有发现支持三种表型脱发与哮喘的反向因果关系的证据。敏感性分析得出了一致的因果估计。
结论：本研究提示哮喘与AA有因果关系。这些发现加深了我们对哮喘在AA病理中的作用的理解，强调了为预防和诊断AA开辟新视野的潜力。
方法：根据公开的最大的全基因组关联研究汇总统计，使用双样本孟德尔随机化（MR）评估哮喘与AA之间的因果关系。选择雄激素性脱发（AGA）和瘢痕性脱发（CA）作为AA的对照组。主要估计是使用逆方差加权荟萃分析(IVW)获得的，孟德尔随机化-Egger（MR-Egger），最大似然估计，和加权中位数。敏感性分析使用CochranQ检验进行，MR-Egger,和遗漏的方法。最后,我们进行了反向MR分析,以评估反向因果关系的可能性.
结果：遗传，哮喘与AA的风险增加有关，而遗传预测的AGA或CA与哮喘之间的关联为阴性。IVW法下哮喘患者AA风险增加1.86倍(OR=1.86,95%CI=1.31-2.629,p<0.001)。反向MR分析没有发现支持三种表型脱发与哮喘的反向因果关系的证据。敏感性分析得出了一致的因果估计。
结论：本研究提示哮喘与AA有因果关系。这些发现加深了我们对哮喘在AA病理中的作用的理解，强调了为预防和诊断AA开辟新视野的潜力。
