ArticleBrain and behavior2024
Risk of Parkinson's disease and depression severity in different populations: A two-sample Mendelian randomization analysis.
Article in Brain and behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- The Mediating Effect of Physiological Health Fear Between Depressive Mood and Sleep Quality in Elderly Parkinson's Disease Patients.Brain and behavior · 2026Article
- Depression and Mood Changes in People with Parkinson's Disease over Time: A 5-Year Follow-Up Study.Journal of personalized medicine · 2026Article
- Bidirectional Effects of Sleep Deprivation Associated with Parkinson's Disease on Behavior, Oxidative Stress, and Energy Metabolism in Male and Female Rats.Molecular neurobiology · 2025Article
- Association between Physical Activity, Depression Severity and Parkinson's Symptoms in Older Adults with Parkinson's disease: A Cross-Sectional Study.Annals of geriatric medicine and research · 2025Article
- Redefining Non-Motor Symptoms in Parkinson's Disease.Journal of personalized medicine · 2025Review
- Multi-omics integration identifies NK cell dysregulation and a five-gene diagnostic signature in major depressive disorder.Frontiers in immunology · 2025Article
- Risk of Parkinson's disease and depression severity in different populations: A two-sample Mendelian randomization analysis.Brain and behavior · 2024Article
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Abstract
backgroundDepression is widely recognized as a common non-motor symptom of Parkinson's disease (PD). Across different studies, the reported prevalence of depression in PD varies widely, ranging from 2.7% to 90%, but it is unclear whether this association is due to genetic or acquired factors. Whether there is a causal relationship remains unknown. The aim of this study was to use a two-sample Mendelian randomization (MR) approach to investigate the causal effect of PD on depression.
methodsAnalyses were conducted separately for individuals of European and East Asian ancestry using publicly available summary data from genome-wide association studies. Depression was divided into two categories: ever depressed for a whole week and major depressive disorder (MDD). PD data were used as the exposure and were obtained from the International Parkinson's Disease Genomics Consortium and the BioBank Japan PheWeb, while depression data were used as the outcome and were obtained from the ntegrative Epidemiology Unit (IEU) Open GWAS Project(A public GWAS database) and the Psychiatric Genomics Consortium. The influence of PD on depression was assessed using inverse variance weighted (IVW), weighted median, MR-Egger, and weighted mode methods. Heterogeneity and pleiotropy were tested, and the results were validated using FinnGen GWAS data from version R9.
resultsIn individuals of European ancestry, there was a causal relationship between PD and ever depressed for a whole week (IVW method, odds ratio [OR] = 0.990; 95% CI, 0.984-0.996; p = .002), but no causal relationship was observed between PD and MDD (IVW method, OR = 0.974; 95% CI, 0.942-1.009; p = .141). In individuals of East Asian ancestry, no causal relationship was observed between PD and ever depressed for a whole week (IVW method, OR = 1.001; 95% CI, 0.829-1.209; p = .990) and between PD and MDD (IVW method, OR = 1.017; 95% CI, 0.982-1.052; p = .342). The results of the three additional analysis methods were similar to those of the IVW method, and there was no heterogeneity according to Cochran's Q-test. There was no evidence of pleiotropy based on MR-Egger intercept test and MR-PRESSO. The FinnGen validation dataset supported these findings. The results are stable and reliable.
conclusionThe observed increase in depression among PD patients could potentially be attributed to modifiable acquired factors. Consequently, there is an urgent need to strengthen the management of PD patients in order to prevent the development of depression in the future.
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