Epstein Douglas J
Department of Genetics, University of Pennsylvania School of Medicine, Clinical Research Bldg, Room 470, 415 Curie Blvd, Philadelphia, PA 19104, USA.
Brief Funct Genomic Proteomic. 2009 Jul;8(4):310-6. doi: 10.1093/bfgp/elp021. Epub 2009 Jul 29.
Cis-acting regulatory sequences are required for the proper temporal and spatial control of gene expression. Variation in gene expression is highly heritable and a significant determinant of human disease susceptibility. The diversity of human genetic diseases attributed, in whole or in part, to mutations in non-coding regulatory sequences is on the rise. Improvements in genome-wide methods of associating genetic variation with human disease and predicting DNA with cis-regulatory potential are two of the major reasons for these recent advances. This review will highlight select examples from the literature that have successfully integrated genetic and genomic approaches to uncover the molecular basis by which cis-regulatory mutations alter gene expression and contribute to human disease. The fine mapping of disease-causing variants has led to the discovery of novel cis-acting regulatory elements that, in some instances, are located as far away as 1.5 Mb from the target gene. In other cases, the prior knowledge of the regulatory landscape surrounding the gene of interest aided in the selection of enhancers for mutation screening. The success of these studies should provide a framework for following up on the large number of genome-wide association studies that have identified common variants in non-coding regions of the genome that associate with increased risk of human diseases including, diabetes, autism, Crohn's, colorectal cancer, and asthma, to name a few.
顺式作用调控序列是基因表达进行适当的时间和空间控制所必需的。基因表达的变异具有高度遗传性,并且是人类疾病易感性的一个重要决定因素。全部或部分归因于非编码调控序列突变的人类遗传疾病的多样性正在增加。全基因组范围内将遗传变异与人类疾病相关联以及预测具有顺式调控潜力的DNA的方法的改进是这些最新进展的两个主要原因。本综述将重点介绍文献中的一些精选实例,这些实例成功整合了遗传和基因组方法,以揭示顺式调控突变改变基因表达并导致人类疾病的分子基础。致病变异的精细定位已导致发现了新的顺式作用调控元件,在某些情况下,这些元件距离靶基因可达1.5 Mb之远。在其他情况下,对感兴趣基因周围调控格局的先验知识有助于选择用于突变筛查的增强子。这些研究的成功应为跟进大量全基因组关联研究提供一个框架,这些研究已经在基因组的非编码区域中鉴定出与包括糖尿病、自闭症、克罗恩病、结直肠癌和哮喘等在内的人类疾病风险增加相关的常见变异。