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A mega-analysis of genome-wide association studies for major depressive disorder

机译:大型抑郁症全基因组关联研究的大型分析

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摘要

Anxiety disorders (ADs), namely generalized AD, panic disorder and phobias, are common, etiologically complex conditions with a partially genetic basis. Despite differing on diagnostic definitions based on clinical presentation, ADs likely represent various expressions of an underlying common diathesis of abnormal regulation of basic threat-response systems. We conducted genome-wide association analyses in nine samples of European ancestry from seven large, independent studies. To identify genetic variants contributing to genetic susceptibility shared across interview-generated DSM-based ADs, we applied two phenotypic approaches: (1) comparisons between categorical AD cases and supernormal controls, and (2) quantitative phenotypic factor scores (FS) derived from a multivariate analysis combining information across the clinical phenotypes. We used logistic and linear regression, respectively, to analyze the association between these phenotypes and genome-wide single nucleotide polymorphisms. Meta-analysis for each phenotype combined results across the nine samples for over 18 000 unrelated individuals. Each meta-analysis identified a different genome-wide significant region, with the following markers showing the strongest association: for case-control contrasts, rs1709393 located in an uncharacterized non-coding RNA locus on chromosomal band 3q12.3 (P=1.65 × 10(-8)); for FS, rs1067327 within CAMKMT encoding the calmodulin-lysine N-methyltransferase on chromosomal band 2p21 (P=2.86 × 10(-9)). Independent replication and further exploration of these findings are needed to more fully understand the role of these variants in risk and expression of ADs.
机译:焦虑症(ADs),即一般性AD,恐慌症和恐惧症是常见的病因,条件复杂,具有部分遗传基础。尽管基于临床表现的诊断定义存在差异,但AD仍可能代表基本威胁反应系统异常调节的基本常识的各种表达。我们对来自七个大型独立研究的九个欧洲血统样本进行了全基因组关联分析。为了确定在访谈产生的基于DSM的AD之间共享的遗传易感性的遗传变异,我们应用了两种表型方法:(1)分类AD病例与超常对照之间的比较,以及(2)定量表型因子得分(FS)来自于多变量分析结合了临床表型信息。我们分别使用逻辑回归和线性回归分析这些表型和全基因组单核苷酸多态性之间的关联。每种表型的荟萃分析结合了9个样本中超过18 000个无关个体的结果。每个荟萃分析都确定了一个不同的全基因组重要区域,以下标记显示了最强的关联:对于病例对照,rs1709393位于染色体带3q12.3上未表征的非编码RNA基因座中(P = 1.65×10 (-8));对于FS,CAMKMT中的rs1067327在染色体2p21波段上编码钙调蛋白-赖氨酸N-甲基转移酶(P = 2.86×10(-9))。需要独立复制和进一步探索这些发现,才能更全面地了解这些变异体在AD风险和表达中的作用。

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