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dc.contributor.authorChing López, Ana 
dc.contributor.authorCervilla Ballesteros, Jorge A.
dc.contributor.authorRivera Sánchez, Margarita 
dc.contributor.authorMolina Rivas, Esther 
dc.contributor.authorMcKenney, Kathryn Anne
dc.contributor.authorRuiz-Pérez, Isabel
dc.contributor.authorRodríguez Barranco, Miguel
dc.contributor.authorGutiérrez Martínez, Blanca 
dc.date.accessioned2015-12-14T11:42:59Z
dc.date.available2015-12-14T11:42:59Z
dc.date.issued2015
dc.identifier.citationChing-López, A.; et al. Epidemiological support for genetic variability at hypothalamic–pituitary–adrenal axis and serotonergic system as risk factors for major depression. Neuropsychiatric Disease and Treatment, 11: 2743-2754 (2015). [http://hdl.handle.net/10481/39197]es_ES
dc.identifier.issn1178-2021
dc.identifier.urihttp://hdl.handle.net/10481/39197
dc.description.abstractBackground: Major depressive disorder (MDD) is a serious, and common psychiatric disorder worldwide. By the year 2020, MDD will be the second cause of disability in the world. The Granad∑p study is the first, to the best of our knowledge, epidemiological study of mental disorders carried out in Andalusia (South Spain), being one of its main objectives to identify genetic and environmental risk factors for MDD and other major psychiatric disorders. In this study, we focused on the possible association of 91 candidate single nucleotide polymorphisms (SNPs) with MDD.es_ES
dc.description.abstractMethods: A total of 711 community-based individuals participated in the Granad∑p study. All individuals were extensively assessed for clinical, psychological, sociodemographic, life style, and other environmental variables. A biological sample was also collected for subsequent genetic analyses in 91 candidate SNPs for MDD. DSM-IV diagnosis of MDD was used as the outcome variable. Logistic regression analysis assuming an additive genetic model was performed to test the association between MDD and the genetic data. The experiment-wide significance threshold adjusted with the SNP spectral decomposition method provided a maximum P-value (8×10-3) required to identify an association. Haplotype analyses were also performed.es_ES
dc.description.abstractResults: One SNP (rs623580) located in the tryptophan hydroxylase 1 gene (TPH1; chromosome 11), one intergenic variant (rs9526236) upstream of the 5-hydroxytryptamine receptor 2A gene (HTR2A; chromosome 13), and five polymorphisms (rs17689966, rs173365, rs7209436, rs110402, and rs242924) located in the corticotropin-releasing hormone receptor 1 gene (CRHR1; chromosome 17), all showed suggestive trends for association with MDD (P<0.05). Within CRHR1 gene, the TATGA haplotype combination was found to increase significantly the risk for MDD with an odds ratio =1.68 (95% CI: 1.16–2.42, P=0.006).es_ES
dc.description.abstractConclusion: Although limited, perhaps due to insufficient sample size power, our results seem to support the notion that the hypothalamic–pituitary–adrenal and serotonergic systems are likely to be involved in the genetic susceptibility for MDD. Future studies, including larger samples, should be addressed for further validation and replication of the present findings.es_ES
dc.description.sponsorshipThis work was mostly funded by an Andalusian Health System Health Council grant (PI0322/2009) and partially by Astra-Zeneca in agreement with CIBERSAM. It was also supported by a PhD grant from the Spanish Ministry of Education (AP2010-3563), and by the Andalusian Council of Innovation (CTS-6682).es_ES
dc.language.isoenges_ES
dc.publisherDove Medical Presses_ES
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs 3.0 Licensees_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es_ES
dc.subjectGenetic association analysises_ES
dc.subjectMajor depressiones_ES
dc.subjectHPA axises_ES
dc.subjectSerotonergic systemes_ES
dc.titleEpidemiological support for genetic variability at hypothalamic–pituitary–adrenal axis and serotonergic system as risk factors for major depressiones_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.2147/NDT.S90369


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