ArticleTranslational psychiatry2024
Phenome-wide investigation of bidirectional causal relationships between major depressive disorder and common human diseases.
Article in Translational psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Association between antidepressant use and the risk of type 2 diabetes: a multi-stage Mendelian randomization study.European archives of psychiatry and clinical neuroscience · 2026Article
- Shared genetic structure between COVID-19 and migraine: insights from large-scale genome-wide cross-trait analysis.Virus research · 2026Article
- Testing bidirectional associations of major depressive disorder with medical conditions: two-sample Mendelian randomization study.Npj mental health research · 2026Article
- A phenome-wide hunt for risk factors of Alzheimer's disease: from metabolic clues to neuroimaging evidence.Journal of translational medicine · 2026Article
- Interpretable deep learning for depression detection in neurological patients using EEG signals.MethodsX · 2025Article
- Exploring Causal Associations Between Plasma Metabolites and Autism Spectrum Disorder.Alpha psychiatry · 2025Article
- The allostatic triage model of psychopathology (ATP Model): How reallocation of brain energetic resources under stress elicits psychiatric symptoms.Neuroscience and biobehavioral reviews · 2025Review
- Genetic susceptibility to depression and risk of cardiometabolic diseases: a systematic review and meta-analysis of 21 Mendelian randomisation studies.EClinicalMedicine · 2025Article
- Causality effect of 21 metals in plasma and serum, 731 immunocytes, and schizophrenia: an intermediary Mendelian randomization study in East Asian populations.Comprehensive psychoneuroendocrinology · 2025Article
- Opposite causal effects of type 2 diabetes and metformin on Alzheimer's disease.The journal of prevention of Alzheimer's disease · 2025Article
- Gut microbiome links obesity to type 2 diabetes: insights from Mendelian randomization.BMC microbiology · 2025Article
- Causal associations between posttraumatic stress disorder and type 2 diabetes.Diabetology & metabolic syndrome · 2025Article
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6 authors.
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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.
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