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全表型组研究重度抑郁症与常见人类疾病之间的双向因果关系。

Phenome-wide investigation of bidirectional causal relationships between major depressive disorder and common human diseases.

作者信息

Sun Wenxi, Baranova Ancha, Liu Dongming, Cao Hongbao, Zhang Xiaobin, Zhang Fuquan

机构信息

Suzhou Guangji Hospital, Suzhou, Jiangsu Province; Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu Province, China.

School of Systems Biology, George Mason University, Manassas, VA, USA.

出版信息

Transl Psychiatry. 2024 Dec 27;14(1):506. doi: 10.1038/s41398-024-03216-z.

Abstract

The high comorbidity of major depressive disorder (MDD) with other diseases has been well-documented. However, the pairwise causal connections for MDD comorbid networks are poorly characterized. We performed Phenome-wide Mendelian randomization (MR) analyses to explore bidirectional causal associations between MDD (N = 807,553) and 877 common diseases from FinnGen datasets (N = 377,277). The inverse variance weighting method was the primary technique, and other methods (weighted median and MR-Egger) were used for sensitivity analyses. Our MR analyses showed that the genetic liability to MDD is causally associated with the risks of 324 disease phenotypes (average b: 0.339), including 46 psychiatric and behavioral disorders (average b: 0.618), 18 neurological diseases (average b: 0.348), 44 respiratory diseases (average b: 0.345), 40 digestive diseases (average b: 0.281), 18 circulatory diseases (average b: 0.237), 37 genitourinary diseases (average b: 0.271), 66 musculoskeletal and connective diseases (average b: 0.326), 22 endocrine diseases (average b: 0.302), and others. In a reverse analysis, a total of 51 genetic components predisposing to various diseases were causally associated with MDD risk (average b: 0.086), including 5 infectious diseases (average b: 0.056), 11 neurological diseases (average b: 0.106), 14 oncological diseases (average b: 0.108), and 5 psychiatric and behavioral disorders (average b: 0.114). Bidirectional causal associations were identified between MDD and 15 diseases. For most MR analyses, little evidence of heterogeneity and pleiotropy was detected. Our findings confirmed the extensive and significant causal role of genetic predisposition to MDD in contributing to human disease phenotypes, which were more pronounced than those seen in the reverse analysis of the causal influences of other diseases on MDD.

摘要

重度抑郁症(MDD)与其他疾病的高共病性已有充分记录。然而,MDD共病网络的成对因果联系却鲜有描述。我们进行了全表型孟德尔随机化(MR)分析,以探索MDD(N = 807,553)与芬兰基因数据集(N = 377,277)中的877种常见疾病之间的双向因果关联。逆方差加权法是主要技术,其他方法(加权中位数和MR-Egger)用于敏感性分析。我们的MR分析表明,MDD的遗传易感性与324种疾病表型的风险存在因果关联(平均b:0.339),包括46种精神和行为障碍(平均b:0.618)、18种神经系统疾病(平均b:0.348)、44种呼吸系统疾病(平均b:0.345)、40种消化系统疾病(平均b:0.281)、18种循环系统疾病(平均b:0.237)、37种泌尿生殖系统疾病(平均b:0.271)、66种肌肉骨骼和结缔组织疾病(平均b:0.326)、22种内分泌疾病(平均b:0.302)等。在反向分析中,共有51种导致各种疾病的遗传成分与MDD风险存在因果关联(平均b:0.086),包括5种传染病(平均b:0.056)、11种神经系统疾病(平均b:0.106)、14种肿瘤疾病(平均b:0.108)和5种精神和行为障碍(平均b:0.114)。在MDD与15种疾病之间发现了双向因果关联。对于大多数MR分析,几乎没有检测到异质性和多效性的证据。我们的研究结果证实了MDD遗传易感性在导致人类疾病表型方面具有广泛而显著的因果作用,这比其他疾病对MDD因果影响的反向分析更为明显。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eeae/11680865/8423398b152f/41398_2024_3216_Fig1_HTML.jpg

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