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Article: Evaluation of bi-directional causal association between depression and cardiovascular diseases: a Mendelian randomization study

TitleEvaluation of bi-directional causal association between depression and cardiovascular diseases: a Mendelian randomization study
Authors
KeywordsCardiovascular disease
depression
genetics
Mendelian randomization
Issue Date2020
PublisherCambridge University Press. The Journal's web site is located at http://journals.cambridge.org/action/displayJournal?jid=PSM
Citation
Psychological Medicine, 2020, Epub 2020-10-09 How to Cite?
AbstractBackground: 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.
Persistent Identifierhttp://hdl.handle.net/10722/289274
ISSN
2021 Impact Factor: 10.592
2020 SCImago Journal Rankings: 2.857
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLi, HY-
dc.contributor.authorCheung, CL-
dc.contributor.authorChung, AKK-
dc.contributor.authorCheung, BMY-
dc.contributor.authorWong, ICK-
dc.contributor.authorFok, MLY-
dc.contributor.authorAu, PCM-
dc.contributor.authorSham, PC-
dc.date.accessioned2020-10-22T08:10:20Z-
dc.date.available2020-10-22T08:10:20Z-
dc.date.issued2020-
dc.identifier.citationPsychological Medicine, 2020, Epub 2020-10-09-
dc.identifier.issn0033-2917-
dc.identifier.urihttp://hdl.handle.net/10722/289274-
dc.description.abstractBackground: 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.-
dc.languageeng-
dc.publisherCambridge University Press. The Journal's web site is located at http://journals.cambridge.org/action/displayJournal?jid=PSM-
dc.relation.ispartofPsychological Medicine-
dc.rightsPsychological Medicine. Copyright © Cambridge University Press.-
dc.rightsThis article has been published in a revised form in [Journal] [http://doi.org/XXX]. This version is free to view and download for private research and study only. Not for re-distribution, re-sale or use in derivative works. © copyright holder.-
dc.subjectCardiovascular disease-
dc.subjectdepression-
dc.subjectgenetics-
dc.subjectMendelian randomization-
dc.titleEvaluation of bi-directional causal association between depression and cardiovascular diseases: a Mendelian randomization study-
dc.typeArticle-
dc.identifier.emailLi, HY: gloriali@hku.hk-
dc.identifier.emailCheung, CL: lung1212@hku.hk-
dc.identifier.emailChung, AKK: chungkka@hku.hk-
dc.identifier.emailCheung, BMY: mycheung@hkucc.hku.hk-
dc.identifier.emailWong, ICK: wongick@hku.hk-
dc.identifier.emailSham, PC: pcsham@hku.hk-
dc.identifier.authorityCheung, CL=rp01749-
dc.identifier.authorityChung, AKK=rp02341-
dc.identifier.authorityCheung, BMY=rp01321-
dc.identifier.authorityWong, ICK=rp01480-
dc.identifier.authoritySham, PC=rp00459-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1017/S0033291720003566-
dc.identifier.pmid33032663-
dc.identifier.scopuseid_2-s2.0-85093535747-
dc.identifier.hkuros316678-
dc.identifier.volumeEpub 2020-10-09-
dc.identifier.spage1-
dc.identifier.epage12-
dc.identifier.isiWOS:000823927100018-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl0033-2917-

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