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

IF 5.8 1区 医学 Q1 PSYCHIATRY
Wenxi Sun, Ancha Baranova, Dongming Liu, Hongbao Cao, Xiaobin Zhang, Fuquan Zhang
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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.

重度抑郁症与人类常见疾病之间双向因果关系的全现象调查。
重度抑郁症(MDD)与其他疾病的高合并症已被充分证明。然而,重度抑郁症共病网络的成对因果关系特征不明显。我们进行全现象孟德尔随机化(MR)分析,探索MDD (N = 807,553)与FinnGen数据集(N = 377,277)中877种常见疾病之间的双向因果关系。方差反加权法是主要方法,其他方法(加权中位数和MR-Egger)用于敏感性分析。我们的MR分析显示,MDD的遗传易感性与324种疾病表型(平均b: 0.339)的风险有因果关系,其中包括46种精神和行为疾病(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: 0.339)。0.326)、22种内分泌疾病(平均b: 0.302)和其他疾病。在反向分析中,共有51种易患各种疾病的遗传成分与MDD风险有因果关系(平均b: 0.086),其中感染性疾病5种(平均b: 0.056),神经系统疾病11种(平均b: 0.106),肿瘤疾病14种(平均b: 0.108),精神和行为障碍5种(平均b: 0.114)。确定了重度抑郁症与15种疾病之间的双向因果关系。对于大多数磁共振分析,很少有证据表明异质性和多效性被检测到。我们的研究结果证实了MDD的遗传易感性在促进人类疾病表型中的广泛而重要的因果作用,这比其他疾病对MDD因果影响的反向分析更为明显。
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来源期刊
CiteScore
11.50
自引率
2.90%
发文量
484
审稿时长
23 weeks
期刊介绍: Psychiatry has suffered tremendously by the limited translational pipeline. Nobel laureate Julius Axelrod''s discovery in 1961 of monoamine reuptake by pre-synaptic neurons still forms the basis of contemporary antidepressant treatment. There is a grievous gap between the explosion of knowledge in neuroscience and conceptually novel treatments for our patients. Translational Psychiatry bridges this gap by fostering and highlighting the pathway from discovery to clinical applications, healthcare and global health. We view translation broadly as the full spectrum of work that marks the pathway from discovery to global health, inclusive. The steps of translation that are within the scope of Translational Psychiatry include (i) fundamental discovery, (ii) bench to bedside, (iii) bedside to clinical applications (clinical trials), (iv) translation to policy and health care guidelines, (v) assessment of health policy and usage, and (vi) global health. All areas of medical research, including — but not restricted to — molecular biology, genetics, pharmacology, imaging and epidemiology are welcome as they contribute to enhance the field of translational psychiatry.
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