Dataset Information

The gender-specific association of rs334558 in GSK3? with major depressive disorder.

ABSTRACT: Major depressive disorder (MDD) is one of the most prevalent psychiatric illnesses with a heritability ranging from 40% to 50%. The single nucleotide polymorphism (SNP) rs334558 on the glycogen synthase kinase-3? (GSK3?) gene has been identified as a genetic risk loci associated with schizophrenia and bipolar disorder. However, results from replication studies examining the association between rs334558 and MDD remain inconsistent.In the present study, first, we conducted a meta-analysis of the association between rs334558 and MDD by combining 5 available case-control samples totaling 2311 cases and 2535 controls. Second, genotyping data from patients with MDD at our institution, after further stratification by gender, were analyzed to determine the association between rs334558 and MDD.All studies retrieved and included in the meta-analysis were from Korea and China. The meta-analysis suggested that the functional polymorphism rs334558 within the GSK3? promoter region was associated with MDD risk (P?

SUBMITTER: Liu S

PROVIDER: S-EPMC5279103 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature

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The gender-specific association of rs334558 in GSK3β with major depressive disorder.

Liu Sha S Wang Le L Sun Ning N Yang Chunxia C Liu Zhifen Z Li Xinrong X Cao Xiaohua X Xu Yong Y Zhang Kerang K

Medicine 20170101 3

Major depressive disorder (MDD) is one of the most prevalent psychiatric illnesses with a heritability ranging from 40% to 50%. The single nucleotide polymorphism (SNP) rs334558 on the glycogen synthase kinase-3β (GSK3β) gene has been identified as a genetic risk loci associated with schizophrenia and bipolar disorder. However, results from replication studies examining the association between rs334558 and MDD remain inconsistent.In the present study, first, we conducted a meta-analysis of the a ...[more]

PMID: 28099358

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Project description:Background: Major Depressive Disorder (MDD) is a moderately heritable disorder with a high lifetime prevalence. At present, laboratory blood tests to support MDD diagnosis are not available. Methods: We used a classifier approach on blood gene expression profiles of a unique set of non-medicated subjects (MDD patients and controls) to select genes of which expression is predictive for disease status. To reveal blood gene expression changes related to MDD disease, we applied a powerful ex vivo stimulus to the blood, i.e. incubation with lipopolysaccharide (LPS; 10 ng/ml blood). Results: Based on LPS-stimulated blood gene expression using whole-genome microarrays in 42 subjects (primary cohort; 21 MDD patients (mean age 42.3 years), 21 healthy controls (mean age 41.9 years)), we identified a set of genes (CAPRIN1, CLEC4A, KRT23, MLC1, PLSCR1, PROK2, ZBTB16) that serves as a molecular signature of MDD. These findings were validated for the primary cohort using an independent quantitative PCR method (P = 0.007). The difference between depressive patients and controls was confirmed (P = 0.019) in a replication cohort of 13 patients with MDD (mean age 42.8 years) and 14 controls (mean age 45.6 years). The MDD-signature score comprised of expression levels of 7 genes could discriminate depressive patients from controls with sensitivity of 76.9% and specificity of 71.8%. Conclusions: We show for the first time that molecular analysis of stimulated blood cells can be used as an endophenotype for MDD diagnosis, which is a milestone in establishing biomarkers for neuropsychiatric disorders with moderate heritability in general. Our results may provide a new entry point for following and predicting treatment outcome, as well as prediction of severity and recurrence of MDD. In total, 33 MDD patients and 34 healthy controls were analyzed using basal gene expression in whole blood, and gene expression from whole blood that was stimulated with LPS for 5-6 h, using microarrays. Patients were arbitrarily selected from all patients to serve as primary cohort (nMDD = 21 (MDD01-MDD21); nControls = 21 (Con01-Con21)), or replication cohort (nMDD = 12 (MDD22-MDD35); nControls = 13 (Con22-Con37)) using microarrays. This submission does not include Samples CON21_LPS or CON30_LPS.

Dataset Information

The gender-specific association of rs334558 in GSK3? with major depressive disorder.

Publications

The gender-specific association of rs334558 in GSK3β with major depressive disorder.

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