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.
Abstract

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