Multiple coronary heart diseases are risk factors for mental health disorders: A mendelian randomization study
Tianwei Meng1, Zhiping Liu2, Jiawen Liu1
1Heilongjiang University of Chinese Medicine, Harbin, 150006, China.
Insights
This study used Mendelian randomization to find that certain heart diseases, like coronary artery disease, may cause mental health disorders. Mental health disorders were not found to cause heart disease.
Area of Science:
- Cardiovascular Epidemiology
- Psychiatric Genetics
- Biostatistics
Background:
- Observational studies suggest links between Coronary Heart Disease (CHD) and Mental Health Disorders (MHD).
- The causal direction of these associations remains unclear.
Purpose of the Study:
- To investigate the causal relationships between eight types of CHD and six types of MHD.
- Utilize Mendelian randomization (MR) analysis for robust causal inference.
Main Methods:
- Employed multiple MR methods: IVW, MR-Egger, weighted median, and mode techniques.
- Assessed heterogeneity and pleiotropy using IVW and MR-Egger.
- Validated results with leave-one-out sensitivity analysis.
Main Results:
- Coronary Artery Disease and Myocardial Infarction causally increase the risk of Major Depressive Disorder and Mania.
- Heart Failure causally increases the risk for Bipolar Disorder and Schizophrenia.
- Atrial Fibrillation and Ischemic Heart Diseases link to Generalized Anxiety Disorder and Mania.
Conclusions:
- Specific Coronary Heart Disease types may be causal risk factors for certain Mental Health Disorders.
- Suggests integrating psychological assessments into CHD patient management.
Background:
Previous observational studies have suggested associations between Coronary Heart Disease (CHD) and Mental Health Disorders (MHD). However, the causal nature of these relationships has remained elusive.
Objective:
The purpose of this study is to elucidate the causal relationships between eight distinct types of CHD and six types of MHD using Mendelian randomization (MR) analysis.
Methods:
The MR analysis employed a suite of methods including inverse variance-weighted (IVW), MR-Egger, weighted mode, weighted median, and simple mode techniques. To assess heterogeneity, IVW and MR-Egger tests were utilized. MR-Egger regression also served to investigate potential pleiotropy. The stability of IVW results was verified by leave-one-out sensitivity analysis.
Results:
We analyzed data from over 2,473,005 CHD and 803,801 MHD patients, informed by instrumental variables from large-scale genomic studies on European populations. The analysis revealed a causal increase in the risk of Major Depressive Disorder and Mania associated with Coronary Artery Disease and Myocardial Infarction. Heart Failure was found to causally increase the risk for Bipolar Disorder and Schizophrenia. Atrial Fibrillation and Ischemic Heart Diseases were positively linked to Generalized Anxiety Disorder and Mania, respectively. There was no significant evidence of an association between Hypertensive Heart Disease, Hypertrophic Cardiomyopathy, Pulmonary Heart Disease, and MHD. Reverse MR analysis indicated that MHD do not serve as risk factors for CHD.
Conclusions:
The findings suggest that specific types of CHD may act as risk factors for certain MHDs. Consequently, incorporating psychological assessments into the management of patients with CHD could be advantageous.
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