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American Journal of Medical Genetics Part B Neuropsychiatric Genetics
Article . 2008 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Genetic predictors of depressive symptoms in cardiac patients

Authors: Jeanne M, McCaffery; Qing Ling, Duan; Nancy, Frasure-Smith; Amina, Barhdadi; Francois, Lespérance; Pierre, Théroux; Guy A, Rouleau; +1 Authors

Genetic predictors of depressive symptoms in cardiac patients

Abstract

AbstractNumerous studies suggest that the prevalence of depression is greater among cardiac patients than in the general population. However, little attention has been paid to the possibility of genetic contributions to depressive symptoms in cardiac patients. We conducted a candidate gene study focusing on genes related to inflammation, platelet aggregation, endothelial function and omega‐3 fatty acid metabolism as predictors of depressive symptoms among 977 participants with established cardiovascular disease. Results suggested that genetic variation related to endothelial dysfunction is predictive of depressive symptoms and that endothelial dysfunction may be a novel mechanism contributing to depressive symptoms among cardiac patients. © 2008 Wiley‐Liss, Inc.

Keywords

Genetic Markers, Inflammation, Male, Canada, Heart Diseases, Depression, Homozygote, Endothelial Cells, Introns, Linkage Disequilibrium, Logistic Models, Gene Frequency, Haplotypes, Fatty Acids, Omega-3, Linear Models, Humans, Female, Genetic Predisposition to Disease, France, Alleles

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    48
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
48
Top 10%
Top 10%
Top 10%
bronze