Integrated Program in Neuroscience, McGill University, 845 Sherbrooke St W, Montreal, QC H3A 0G4, Canada.
McGill Group for Suicide Studies, Department of Psychiatry, Douglas Mental Health University Institute, McGill University, 6875 LaSalle Blvd, Verdun, QC H4H 1R3, Canada.
Int J Mol Sci. 2021 Jul 16;22(14):7612. doi: 10.3390/ijms22147612.
The genetic architecture of complex traits is multifactorial. Genome-wide association studies (GWASs) have identified risk loci for complex traits and diseases that are disproportionately located at the non-coding regions of the genome. On the other hand, we have just begun to understand the regulatory roles of the non-coding genome, making it challenging to precisely interpret the functions of non-coding variants associated with complex diseases. Additionally, the epigenome plays an active role in mediating cellular responses to fluctuations of sensory or environmental stimuli. However, it remains unclear how exactly non-coding elements associate with epigenetic modifications to regulate gene expression changes and mediate phenotypic outcomes. Therefore, finer interrogations of the human epigenomic landscape in associating with non-coding variants are warranted. Recently, chromatin-profiling techniques have vastly improved our understanding of the numerous functions mediated by the epigenome and DNA structure. Here, we review various chromatin-profiling techniques, such as assays of chromatin accessibility, nucleosome distribution, histone modifications, and chromatin topology, and discuss their applications in unraveling the brain epigenome and etiology of complex traits at tissue homogenate and single-cell resolution. These techniques have elucidated compositional and structural organizing principles of the chromatin environment. Taken together, we believe that high-resolution epigenomic and DNA structure profiling will be one of the best ways to elucidate how non-coding genetic variations impact complex diseases, ultimately allowing us to pinpoint cell-type targets with therapeutic potential.
复杂性状的遗传结构是多因素的。全基因组关联研究(GWAS)已经确定了与复杂性状和疾病相关的风险位点,这些位点不成比例地位于基因组的非编码区域。另一方面,我们才刚刚开始理解非编码基因组的调控作用,因此难以准确解释与复杂疾病相关的非编码变异的功能。此外,表观基因组在介导细胞对感觉或环境刺激波动的反应方面发挥着积极的作用。然而,非编码元件如何与表观遗传修饰精确关联以调节基因表达变化并介导表型结果仍然不清楚。因此,有必要更精细地研究人类表观基因组景观与非编码变异的关联。最近,染色质分析技术极大地提高了我们对表观基因组和 DNA 结构介导的多种功能的理解。在这里,我们回顾了各种染色质分析技术,如染色质可及性分析、核小体分布分析、组蛋白修饰分析和染色质拓扑分析,并讨论了它们在揭示组织匀浆和单细胞分辨率下的大脑表观基因组和复杂性状病因中的应用。这些技术阐明了染色质环境的组成和结构组织原则。总之,我们相信,高分辨率的表观基因组和 DNA 结构分析将是阐明非编码遗传变异如何影响复杂疾病的最佳方法之一,最终使我们能够确定具有治疗潜力的细胞类型靶点。