Unknown

Dataset Information

0

Genetic predictors of depressive symptoms in cardiac patients.


ABSTRACT: Numerous 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.

SUBMITTER: McCaffery JM 

PROVIDER: S-EPMC2660383 | biostudies-literature | 2009 Apr

REPOSITORIES: biostudies-literature

altmetric image

Publications

Genetic predictors of depressive symptoms in cardiac patients.

McCaffery Jeanne M JM   Duan Qing Ling QL   Frasure-Smith Nancy N   Barhdadi Amina A   Lespérance Francois F   Théroux Pierre P   Rouleau Guy A GA   Dubé Marie-Pierre MP  

American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics 20090401 3


Numerous 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  ...[more]

Similar Datasets

| S-EPMC4643359 | biostudies-literature
| S-EPMC8481329 | biostudies-literature
| S-EPMC5193273 | biostudies-other
| S-EPMC4139703 | biostudies-literature
| S-EPMC7105123 | biostudies-literature
| S-EPMC8201796 | biostudies-literature
| S-EPMC9292500 | biostudies-literature
| S-EPMC6166440 | biostudies-literature
| S-EPMC4591045 | biostudies-literature
| S-EPMC4398379 | biostudies-other