Genome-scale approaches to the epigenetics of common human disease.

Genome-scale approaches to the epigenetics of common human disease.
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DOI:
10.1007/s00428-009-0847-2
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发表时间:
2010-01
期刊:
Virchows Archiv : an international journal of pathology
影响因子:
--
通讯作者:
Feinberg AP
Feinberg AP
中科院分区:
其他
文献类型:
--
作者:
Feinberg AP

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传统上,人类疾病的病理学一直专注于受影响组织的显微镜检查,活检样本的化学和生物化学分析,其他方便的可用样本,如血液,以及不同复杂性的非侵入性或侵入性成像,以分类疾病并阐明其机制基础。分子时代通过基因表达阵列和单个基因的选择性分析补充了这一设备。然而,我们正在进入一个表观基因组分析的新时代,即,细胞遗传的非序列遗传变化的基因组规模分析,如DNA甲基化。表观基因组为大规模流行病学研究提供了稳定的细胞状态测量和生物库材料。其中一些基因组规模的技术正开始被应用于创建表观遗传流行病学的新领域。
Traditionally, the pathology of human disease has been focused on microscopic examination of affected tissues, chemical and biochemical analysis of biopsy samples, other available samples of convenience, such as blood, and noninvasive or invasive imaging of varying complexity, in order to classify disease and illuminate its mechanistic basis. The molecular age has complemented this armamentarium with gene expression arrays and selective analysis of individual genes. However, we are entering a new era of epigenomic profiling, i.e., genome-scale analysis of cell-heritable nonsequence genetic change, such as DNA methylation. The epigenome offers access to stable measurements of cellular state and to biobanked material for large-scale epidemiological studies. Some of these genome-scale technologies are beginning to be applied to create the new field of epigenetic epidemiology.
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