5 research outputs found

    Analysis of SNP profiles in patients with major depressive disorder

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    The present study focused on 91 single-nucleotide polymorphisms (SNPs) in 21 candidate genes to find associations with major depressive disorder (MDD). In total, 160 healthy controls and 177 patients with MDD were studied. We applied arrayed primer extension (APEX) based genotyping technology followed by association and haplotype analysis. SNPs in CCKAR, DRD1, DRD2, and HTR2C genes showed nominally significant associations with MDD. None of these associations remained significant after adjustment for multiple testing. Haplotype analysis revealed CCKAR haplotypes to be associated with MDD (global p=0.004). More precisely, we found the GAGT haplotype to be associated with increased risk for MDD (OR 7.42, 95% CI 2.13–25.85, p=0.002). This haplotype effect remained significant after Bonferroni correction (p=0.04 after Bonferroni's adjustment). Altogether we were able to find some nominal associations, but due to small sample size these results should be taken as exploratory. However, the effect of GAGT haplotype on the CCKAR gene may be considered as increasing the risk for MDD

    Polymorphisms in wolframin (WFS1) gene are possibly related to increased risk for mood disorders

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    Wolfram syndrome gene (WFS1) has been suggested to have a role in the susceptibility for mood disorders. A 26-fold increased risk for psychiatric disorders in WFS1 mutation carriers has been suggested. In this study we tested the hypothesis that the WFS1 gene is related to the risk for mood disorders. We analysed 28 single-nucleotide polymorphisms (SNPs) of the WFS1 gene in 224 unrelated patients with major depressive disorder and bipolar disorder and in 160 healthy control subjects. Patients were further stratified according to their comorbidity with anxiety disorders. We applied arrayed primer extension (APEX)-based genotyping technology followed by association and haplotype analysis. Five SNPs in the WFS1 gene were associated with major depressive disorder, and three SNPs with bipolar disorder. Haplotype analysis revealed a common GTA haplotype, formed by SNPs 684C/G, 1185C/T and 1832G/A, conferring risk for affective disorders. Specifically, for major depression the GTA haplotype has an OR of 1.59 (p=0.01) and for bipolar disorder an OR of 1.89 (p=0.03). These results support the hypothesis that the WFS1 gene is involved in the genetic predisposition for mood disorders

    P.3.05 Association and haplotype analaysis of 90 single-nucleotide polymorphisms in mood disorders

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    Abstract of the ECNP Workshop on Neuropsychopharmacology for Young Scientists in Europe Nice, France March 3–6, 200

    Association study of 90 candidate gene polymorphisms in panic disorder

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    Objective In the present investigation we screened a large number of single nucleotide polymorphisms in the genes relevant to the neurobiology of anxiety for their association with panic disorder (PD). Methods The study sample included 127 patients with PD and 146 healthy control subjects. Using Arrayed Primer Extension technology we genotyped 90 polymorphisms in 21 candidate genes of serotonin, cholecystokinin, dopamine and opioid neurotransmitter systems. The association and haplotype analyses were performed in the whole group (PD-all) and in the subgroups of PD comorbid with major depression (PD-comorbid, n=60) and without any comorbidity (PD-pure, n=42). Results From the set of 90 polymorphisms, eight single nucleotide polymorphism markers in eight genes displayed at least a nominal association with any of the studied PD phenotype subgroups. Several polymorphisms of cholecystokinin, serotonin and dopamine systems were associated with PD-all and/or PD-comorbid phenotypes, while pure PD was associated only with HTR2A receptor 102T-C (P=0.01) and DRD1 receptor −94G-A (P=0.02) polymorphisms. Haplotype analysis supported an association of the cholecystokinin gene TG haplotype with the PD-all group (P=0.04), whereas DRD1 receptor CAA and HTR2A receptor AT haplotypes were associated with a lower risk for PD-pure phenotype (P=0.03 and P=0.04, respectively). Conclusions The study results suggest that genetic variants of several candidate genes of neurotransmitter systems, each of a minor individual effect, may contribute to the susceptibility to PD. Our data also indicate that genetic variability may have a distinctive influence on pure and comorbid phenotypes of PD
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