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利用全基因组 DNA 甲基化测量鉴定与癫痫相关的通路:基于三亲的方法。

Identification of epilepsy related pathways using genome-wide DNA methylation measures: A trio-based approach.

机构信息

Aziz Sancar Institute of Experimental Medicine, Department of Genetics, Istanbul University, Istanbul, Turkey.

Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey.

出版信息

PLoS One. 2019 Feb 8;14(2):e0211917. doi: 10.1371/journal.pone.0211917. eCollection 2019.

Abstract

Genetic generalized epilepsies (GGE) are genetically determined, as their name implies and they are clinically characterized by generalized seizures involving both sides of the brain in the absence of detectable brain lesions or other known causes. GGEs are yet complex and are influenced by many different genetic and environmental factors. Methylation specific epigenetic marks are one of the players of the complex epileptogenesis scenario leading to GGE. In this study, we have set out to perform genome-wide methylation profiling to analyze GGE trios each consisting of an affected parent-offspring couple along with an unaffected parent. We have developed a novel scoring scheme within trios to categorize each locus analyzed as hypo or hypermethylated. This stringent approach classified differentially methylated genes in each trio and helped us to produce trio specific and pooled gene lists with inherited and aberrant methylation levels. In order to analyze the methylation differences from a boarder perspective, we performed enrichment analysis with these lists using the PANOGA software. This collective effort has led us to detect pathways associated with the GGE phenotype, including the neurotrophin signaling pathway. We have demonstrated a trio based approach to genome-wide DNA methylation analysis that identified individual and possibly minor changes in methylation marks that could be involved in epileptogenesis leading to GGE.

摘要

遗传全面性癫痫(GGE)是由遗传决定的,正如其名称所示,其临床特征为大脑两侧的全身性癫痫发作,没有可检测到的脑部病变或其他已知原因。GGE 仍然很复杂,受到许多不同的遗传和环境因素的影响。甲基化特异性表观遗传标记是导致 GGE 的复杂癫痫发生情况的参与者之一。在这项研究中,我们着手进行全基因组甲基化分析,以分析每个包含受影响父母-子女对以及未受影响父母的 GGE 三对。我们在三对中开发了一种新的评分方案,将每个分析的基因座分类为低甲基化或高甲基化。这种严格的方法对每个三对中的差异甲基化基因进行了分类,并帮助我们生成了具有遗传和异常甲基化水平的三对特异性和汇总基因列表。为了从更广泛的角度分析甲基化差异,我们使用 PANOGA 软件对这些列表进行了富集分析。这项集体努力使我们能够检测到与 GGE 表型相关的途径,包括神经营养素信号通路。我们已经证明了一种基于三对的全基因组 DNA 甲基化分析方法,该方法可以识别与导致 GGE 的癫痫发生相关的个体和可能较小的甲基化标记变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef87/6368378/6872c1a6b742/pone.0211917.g001.jpg

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