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dc.contributor.authorKõks, Sulev
dc.contributor.authorNikopensius, Tiit
dc.contributor.authorKoido, Kati
dc.contributor.authorMaron, Eduard
dc.contributor.authorAltmäe, Signe 
dc.contributor.authorHeinaste, Evelin
dc.contributor.authorVabrit, Kristel
dc.contributor.authorTammekivi, Veronika
dc.contributor.authorHallast, Pille
dc.contributor.authorKurg, Ants
dc.contributor.authorShlik, Jakov
dc.contributor.authorVasar, Veiko
dc.contributor.authorMetspalu, Andres
dc.contributor.authorVasar, Eero
dc.date.accessioned2024-02-04T17:17:49Z
dc.date.available2024-02-04T17:17:49Z
dc.date.issued2005-06-01
dc.identifier.urihttps://hdl.handle.net/10481/88156
dc.description.abstractThe 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 nom- inally 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.es_ES
dc.language.isoenges_ES
dc.titleAnalysis of SNP profiles in patients with major depressive disorderes_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doidoi: 10.1017/S1461145705005468
dc.type.hasVersionSMURes_ES


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