Exploring the genetic correlation of cardiovascular diseases and mood disorders in the UK Biobank
Chi-Jen Chen1, Wan-Yu Liao1, Amrita Chattopadhyay2
1Institute of Epidemiology and Preventive Medicine, Department of Public Health, College of Public Health, National Taiwan University, Taipei, Taiwan.
Insights
Cardiovascular diseases (CVDs) and major depressive disorder (MDD) share significant genetic links, suggesting a common genetic basis. This genetic overlap highlights potential shared risk factors between these conditions.
Area of Science:
- Genetics
- Psychiatry
- Cardiology
Background:
- Cardiovascular diseases (CVDs) are a leading global cause of death.
- Individuals with mood disorders exhibit higher CVD incidence and mortality.
- Major depressive disorder (MDD) is a common comorbidity in CVD patients.
Purpose of the Study:
- To investigate the genetic correlation between CVDs and mood disorders.
- To understand the genetic factors contributing to the comorbidity of CVDs and mood disorders.
- Utilize UK Biobank data for comprehensive genetic association studies.
Main Methods:
- Analysis of UK Biobank data from 117,925 participants.
- Inclusion of 6,128,294 genetic variants for analysis.
- Focus on two CVD phenotypes, two mood disorders, and 12 cardiometabolic traits.
Main Results:
- Significant positive genetic correlation found between CVDs and overall mood disorders, including MDD.
- Substantial genetic overlap identified between CVDs and MDD.
- No significant genetic correlation observed between CVDs and bipolar disorder.
Conclusions:
- CVDs and mood disorders share significant genetic liability.
- Findings are particularly relevant for individuals of European ancestry.
- Genetic insights may inform future prevention and treatment strategies.
Aims:
Cardiovascular diseases (CVDs) are the leading cause of deaths globally. Mortality and incidence of CVDs are significantly higher in people with mood disorders. About 81.1% of CVD patients were reported with comorbidities in 2019, where the second most common comorbidity was due to major depressive disorder (MDD). This study, therefore, aimed to evaluate the genetic correlation between CVDs and mood disorders by using data from the UK Biobank towards understanding the influence of genetic factors on the comorbidity due to CVDs and mood disorders.
Methods:
The UK Biobank database provides genetic and health information from half a million adults, aged 40-69 years, recruited between 2006 and 2010. A total of 117,925 participants and 6,128,294 variants were included for analysis after applying exclusion criteria and quality control steps. This study focused on two CVD phenotypes, two mood disorders and 12 cardiometabolic-related traits to conduct association studies.
Results:
The results indicated a significant positive genetic correlation between CVDs and overall mood disorders and MDD specifically, showing substantial genetic overlap. Genetic correlation between CVDs and bipolar disorder was not significant. Furthermore, significant genetic correlation between mood disorders and cardiometabolic traits was also reported.
Conclusions:
The results of this study can be used to understand that CVDs and mood disorders share a great deal of genetic liability in individuals of European ancestry.
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