单胺氧化酶a和B基因多态性与精神分裂症的阴性和阳性症状

ISRN Psychiatry Pub Date : 2012-04-19 Print Date: 2012-01-01 DOI:10.5402/2012/852949
Beatriz Camarena, Ana Fresán, Alejandro Aguilar, Raúl Escamilla, Ricardo Saracco, Jorge Palacios, Alfonso Tovilla, Humberto Nicolini
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引用次数: 27

摘要

鉴于精神分裂症是一种异质性疾病,对其临床特征的分析可以帮助确定可能与遗传研究相关的同质表型。连锁和关联研究表明,易患精神分裂症的位点可能存在于Xp11中。我们分析了MAOB基因uVNTR和rs1137070、MAOA和rs1799836的多态性,对344名精神分裂症患者和124名对照组进行了单SNP病例-对照关联研究。uVNTR、rs1137070和rs1799836 snp的单多态性分析在病例和对照组之间无统计学差异。多因素方差分析显示,经Bonferroni校正后,女性精神分裂症患者的MAOA/ rs1799836评分与情感扁平化评分有统计学差异(F = 4.852, P = 0.009), MAOA/uVNTR评分与情感扁平化评分有显著相关性(F = 4.236, P = 0.016)。我们的初步研究结果可能表明,墨西哥女性精神分裂症患者的情感扁平化程度可能与MAOA和MAOB基因的修饰变体有关。然而,进一步的大规模研究使用定量的基于症状的表型和几个候选变异进行分析,以获得最终结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Monoamine oxidase a and B gene polymorphisms and negative and positive symptoms in schizophrenia.

Given that schizophrenia is a heterogeneous disorder, the analysis of clinical characteristics could help to identify homogeneous phenotypes that may be of relevance in genetic studies. Linkage and association studies have suggested that a locus predisposing to schizophrenia may reside within Xp11. We analyzed uVNTR and rs1137070, polymorphisms from MAOA and rs1799836 of MAOB genes to perform single SNP case-control association study in a sample of 344 schizophrenia patients and 124 control subjects. Single polymorphism analysis of uVNTR, rs1137070 and rs1799836 SNPs did not show statistical differences between cases and controls. Multivariate ANOVA analysis of clinical characteristics showed statistical differences between MAOB/rs1799836 and affective flattening scores (F = 4.852, P = 0.009), and significant association between MAOA/uVNTR and affective flattening in female schizophrenia patients (F = 4.236, P = 0.016) after Bonferroni's correction. Our preliminary findings could suggest that severity of affective flattening may be associated by modifier variants of MAOA and MAOB genes in female Mexican patients with schizophrenia. However, further large-scale studies using quantitative symptom-based phenotypes and several candidate variants should be analyzed to obtain a final conclusion.

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