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利用全基因组关联研究中特定等位基因甲基化的信息进行双相情感障碍的通路分析。

Pathway analysis using information from allele-specific gene methylation in genome-wide association studies for bipolar disorder.

机构信息

Department of Public Health & Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.

出版信息

PLoS One. 2013;8(1):e53092. doi: 10.1371/journal.pone.0053092. Epub 2013 Jan 9.

Abstract

Bipolar disorder (BPD) is a complex psychiatric trait with high heritability. Despite efforts through conducting genome-wide association (GWA) studies, the success of identifying susceptibility loci for BPD has been limited, which is partially attributed to the complex nature of its pathogenesis. Pathway-based analytic strategy is a powerful tool to explore joint effects of gene sets within specific biological pathways. Additionally, to incorporate other aspects of genomic data into pathway analysis may further enhance our understanding for the underlying mechanisms for BPD. Patterns of DNA methylation play important roles in regulating gene expression and function. A commonly observed phenomenon, allele-specific methylation (ASM) describes the associations between genetic variants and DNA methylation patterns. The present study aimed to identify biological pathways that are involve in the pathogenesis of BPD while incorporating brain specific ASM information in pathway analysis using two large-scale GWA datasets in Caucasian populations. A weighting scheme was adopted to take ASM information into consideration for each pathway. After multiple testing corrections, we identified 88 and 15 enriched pathways for their biological relevance for BPD in the Genetic Association Information Network (GAIN) and the Wellcome Trust Case Control Consortium dataset, respectively. Many of these pathways were significant only when applying the weighting scheme. Three ion channel related pathways were consistently identified in both datasets. Results in the GAIN dataset also suggest for the roles of extracellular matrix in brain for BPD. Findings from Gene Ontology (GO) analysis exhibited functional enrichment among genes of non-GO pathways in activity of gated channel, transporter, and neurotransmitter receptor. We demonstrated that integrating different data sources with pathway analysis provides an avenue to identify promising and novel biological pathways for exploring the underlying molecular mechanisms for bipolar disorder. Further basic research can be conducted to target the biological mechanisms for the identified genes and pathways.

摘要

双相情感障碍 (BPD) 是一种具有高度遗传性的复杂精神特征。尽管通过全基因组关联 (GWA) 研究进行了努力,但识别 BPD 易感性基因座的成功有限,这部分归因于其发病机制的复杂性。基于途径的分析策略是探索特定生物学途径中基因集联合效应的有力工具。此外,将基因组数据的其他方面纳入途径分析可能会进一步增强我们对 BPD 潜在机制的理解。DNA 甲基化模式在调节基因表达和功能方面发挥着重要作用。等位基因特异性甲基化 (ASM) 是一种常见的现象,描述了遗传变异与 DNA 甲基化模式之间的关联。本研究旨在通过纳入大脑特异性 ASM 信息,使用两个大型白种人 GWA 数据集,在途径分析中识别参与 BPD 发病机制的生物学途径。采用加权方案考虑每个途径的 ASM 信息。经过多次测试校正,我们分别在遗传关联信息网络 (GAIN) 和惠康信托病例对照联盟数据集 (Wellcome Trust Case Control Consortium dataset) 中确定了 88 个和 15 个与 BPD 生物学相关性丰富的途径。当应用加权方案时,许多途径具有统计学意义。两个数据集都一致鉴定出三个离子通道相关途径。GAIN 数据集的结果还表明,细胞外基质在 BPD 大脑中的作用。基因本体论 (GO) 分析的结果表明,非 GO 途径的基因在门控通道、转运体和神经递质受体的活性中存在功能富集。我们证明,通过途径分析整合不同的数据源为识别探索双相情感障碍潜在分子机制的有前途和新颖的生物学途径提供了途径。可以进一步进行基础研究,以针对鉴定出的基因和途径的生物学机制。

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