Wen Yanchao, Wang Xingyu, Deng Liufei, Zhu Guiming, Si Xinyu, Gao Xue, Lu Xiangfeng, Wang Tong
Department of Health Statistics, School of Public Health, Shanxi Medical University, 56 Xin Jian South Road Street, Taiyuan, Shanxi, China; Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, Taiyuan, Shanxi, China.
Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China.
J Psychosom Res. 2025 Feb;189:112029. doi: 10.1016/j.jpsychores.2024.112029. Epub 2024 Dec 31.
Our primary objective is to investigate the causal relationships between 12 psychiatric disorders (PDs) and atrial fibrillation (AF), coronary artery disease (CAD), myocardial infarction (MI), and heart failure (HF).
Firstly, we used linkage disequilibrium score regression to calculate the genetic correlations between 12 PDs and 4 cardiovascular diseases (CVDs). Subsequently, we performed two-sample and bidirectional Mendelian randomization (MR) analyses of phenotypes with significant genetic correlations to explore the causal relationships between PDs and CVDs. Inverse variance weighted with modified weights (MW-IVW), Robust Adjusted Profile Score, Inverse Variance Weighted, weighted median and weighted mode were used to evaluate causal effects, with MW-IVW being the main analysis method. And to validate the MR results, we conducted the replicate analyses using data from the FinnGen database.
Conducting MR analyses in phenotypes with significant genetic correlations, we identified bidirectional causal relationships between depression (DEP) and MI (DEP as exposure: OR = 1.1324, 95 % confidence interval (CI): 1.0984-1.1663, P < 0.0001; MI as exposure: OR = 1.0268, 95 % CI: 1.0160-1.0375, P < 0.0001). Similar relationships were observed in Attention Deficit/Hyperactivity Disorder (ADHD) and HF (ADHD as exposure: OR = 1.0270, 95 % CI: 1.0144-1.0395, P < 0.0001; HF as exposure: OR = 1.0980, 95 % CI: 1.0502-1.1458, P < 0.0001).
In our study, we conducted the comprehensive analyses between 12 PDs and CVDs. By bidirectional MR analysis, we observed significant causal relationships between MI and DEP, HF and ADHD. These findings suggest possible complex causal relationships between PDs and CVDs.
我们的主要目的是研究12种精神障碍（PDs）与心房颤动（AF）、冠状动脉疾病（CAD）、心肌梗死（MI）和心力衰竭（HF）之间的因果关系。
首先，我们使用连锁不平衡评分回归来计算12种PDs与4种心血管疾病（CVDs）之间的遗传相关性。随后，我们对具有显著遗传相关性的表型进行了两样本和双向孟德尔随机化（MR）分析，以探索PDs与CVDs之间的因果关系。采用修正权重的逆方差加权法（MW-IVW）、稳健调整轮廓评分法、逆方差加权法、加权中位数法和加权众数法来评估因果效应，其中MW-IVW为主要分析方法。为了验证MR结果，我们使用芬兰基因数据库的数据进行了重复分析。
在具有显著遗传相关性的表型中进行MR分析，我们发现抑郁症（DEP）与MI之间存在双向因果关系（以DEP为暴露因素：比值比（OR）=1.1324，95%置信区间（CI）：1.0984-1.1663，P<0.0001；以MI为暴露因素：OR=1.0268，95%CI：1.0160-1.0375，P<0.0001）。在注意力缺陷多动障碍（ADHD）与HF之间也观察到类似关系（以ADHD为暴露因素：OR=1.0270，95%CI：1.0144-1.0395，P<0.0001；以HF为暴露因素：OR=1.0980，95%CI：1.0502-1.1458，P<0.0001）。
在我们的研究中，我们对12种PDs与CVDs进行了综合分析。通过双向MR分析，我们观察到MI与DEP、HF与ADHD之间存在显著的因果关系。这些发现提示PDs与CVDs之间可能存在复杂的因果关系。
