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没有证据表明双相情感障碍风险基因变异与脑结构表型之间存在关联。

No evidence for association between bipolar disorder risk gene variants and brain structural phenotypes.

机构信息

Institute of Clinical Medicine, University of Oslo, Oslo, Norway.

出版信息

J Affect Disord. 2013 Oct;151(1):291-7. doi: 10.1016/j.jad.2013.06.008. Epub 2013 Jun 29.

Abstract

BACKGROUND

While recent genome-wide association studies have identified several new bipolar disorder (BD) risk variants, structural imaging studies have reported enlarged ventricles and volumetric reductions among the most consistent findings. We investigated whether these genetic risk variants could explain some of the structural brain abnormalities in BD.

METHODS

In a sample of 517 individuals (N=121 BD cases, 116 SZ cases, 61 other psychosis cases and 219 healthy controls), we tested the potential association between nine SNPs in the genes CACNA1C, ANK3, ODZ4 and SYNE1 and eight brain structural measures found to be altered in BD, and if these were specifically affecting the BD sample. We also assessed the polygenic effect of all these 9 SNPs on the brain phenotypes.

RESULTS

Our most significant result was an association between the risk allele A in CACNA1C SNP rs4775913 and decreased cerebellar volume (pnom.=0.0075) in the total sample, which did not remain significant after multiple testing correction (pthreshold<0.0064). There was no evidence for diagnostic specificity for this association in the BD group. Further, no polygenic effect of these 9 SNPs was observed.

LIMITATIONS

Low statistical power might increase our type II error rate.

CONCLUSIONS

The present findings indicate that these risk SNPs do not explain a large proportion of the structural brain alterations in BD. Thus, these genes which are all related to neuronal functions must be involved in other pathophysiological aspects of BD development.

摘要

背景

尽管最近的全基因组关联研究已经确定了几个新的双相情感障碍(BD)风险变异体,但结构影像学研究报告了最一致的发现中脑室扩大和体积减少。我们研究了这些遗传风险变异体是否可以解释 BD 中的一些结构脑异常。

方法

在 517 名个体(N=121 例 BD 病例、116 例 SZ 病例、61 例其他精神病病例和 219 例健康对照)中,我们测试了 CACNA1C、ANK3、ODZ4 和 SYNE1 基因中的 9 个 SNP 与在 BD 中发现改变的 8 个脑结构测量值之间的潜在关联,以及这些关联是否专门影响 BD 样本。我们还评估了所有这 9 个 SNP 对脑表型的多基因效应。

结果

我们最显著的结果是 CACNA1C SNP rs4775913 的风险等位基因 A 与总样本中小脑体积减少(pnom.=0.0075)之间存在关联,但在多重测试校正后该关联不再显著(pthreshold<0.0064)。在 BD 组中,没有证据表明这种关联具有诊断特异性。此外,这些 9 个 SNP 没有多基因效应。

局限性

统计功效低可能会增加我们的 II 型错误率。

结论

目前的研究结果表明,这些风险 SNP 不能解释 BD 中大部分的结构脑改变。因此,这些与神经元功能有关的基因必须参与 BD 发展的其他病理生理方面。

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