Li, GH-YL;
              
      
            
                Cheung, C-L;
              
      
            
                Chung, AK-K;
              
      
            
                Cheung, BM-Y;
              
      
            
                Wong, I;
              
      
            
                Fok, ML-Y;
              
      
            
                Au, PC-M;
              
      
            
            
          
      
        
        
        
    
  
(2020)
  Evaluation of Bi-directional Causal Association Between Depression and Cardiovascular Diseases: A Mendelian Randomization study.
Psychological Medicine
      
    
    
    
         10.1017/S0033291720003566.
   (In press).
  
      
    
  
Preview  | 
            
              
Text (Accepted Manuscript)
 Wong_Evaluation of Bi-directional Causal Association Between Depression and Cardiovascular Diseases_AAM.pdf - Accepted Version Download (483kB) | Preview  | 
          
Preview  | 
            
              
Text (Supplementary Material)
 Wong_Evaluation of Bi-directional Causal Association Between Depression and Cardiovascular Diseases_SuppM.pdf - Accepted Version Download (1MB) | Preview  | 
          
Abstract
Background: Depression and cardiovascular disease (CVD) are associated with each other but their relationship remains unclear. We aim to determine whether genetic predisposition to depression are causally linked to CVD [including coronary artery disease (CAD), myocardial infarction (MI), stroke and atrial fibrillation (AF)]. Methods: Using summary statistics from the largest genome-wide association studies (GWAS) or GWAS meta-analysis of depression (primary analysis: n = 500 199), broad depression (help-seeking behavior for problems with nerves, anxiety, tension or depression; secondary analysis: n = 322 580), CAD (n = 184 305), MI (n = 171 875), stroke (n = 446 696) and AF (n = 1 030 836), genetic correlation was tested between two depression phenotypes and CVD [MI, stroke and AF (not CAD as its correlation was previously confirmed)]. Causality was inferred between correlated traits by Mendelian Randomization analyses. Results: Both depression phenotypes were genetically correlated with MI (depression: rG = 0.169; p = 9.03 × 10−9; broad depression: rG = 0.123; p = 1 × 10−4) and AF (depression: rG = 0.112; p = 7.80 × 10−6; broad depression: rG = 0.126; p = 3.62 × 10−6). Genetically doubling the odds of depression was causally associated with increased risk of CAD (OR = 1.099; 95% CI 1.031–1.170; p = 0.004) and MI (OR = 1.146; 95% CI 1.070–1.228; p = 1.05 × 10−4). Adjustment for blood lipid levels/smoking status attenuated the causality between depression and CAD/MI. Null causal association was observed for CVD on depression. A similar pattern of results was observed in the secondary analysis for broad depression. Conclusions: Genetic predisposition to depression may have positive causal roles on CAD/MI. Genetic susceptibility to self-awareness of mood problems may be a strong causal risk factor of CAD/MI. Blood lipid levels and smoking may potentially mediate the causal pathway. Prevention and early diagnosis of depression are important in the management of CAD/MI.
| Type: | Article | 
|---|---|
| Title: | Evaluation of Bi-directional Causal Association Between Depression and Cardiovascular Diseases: A Mendelian Randomization study | 
| Open access status: | An open access version is available from UCL Discovery | 
| DOI: | 10.1017/S0033291720003566 | 
| Publisher version: | https://doi.org/10.1017/S0033291720003566 | 
| Language: | English | 
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. | 
| Keywords: | Cardiovascular disease, depression, genetics, Mendelian randomization | 
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > UCL School of Pharmacy UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > UCL School of Pharmacy > Practice and Policy  | 
        
| URI: | https://discovery.ucl.ac.uk/id/eprint/10109969 | 
Archive Staff Only
![]()  | 
        View Item | 
                      
