Scacheri Cheryl A, Scacheri Peter C
aCourtagen Life Sciences, 12 Gill St, Ste. 3700, Woburn, MA 01801 bDepartment of Genetics and Genome Sciences, Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine; Cleveland, Ohio, USA.
Curr Opin Pediatr. 2015 Dec;27(6):659-64. doi: 10.1097/MOP.0000000000000283.
Clinical diagnostic sequencing currently focuses on identifying causal mutations in the exome, wherein most disease-causing mutations are known to occur. The rest of the genome is mostly comprised of regulatory elements that control gene expression, but these have remained largely unexplored in clinical diagnostics due to the high cost of whole genome sequencing and interpretive challenges. The purpose of this review is to illustrate examples of diseases caused by mutations in regulatory elements and introduce the diagnostic potential for whole genome sequencing. Different classes of functional elements and chromatin structure are described to provide the clinician with a foundation for understanding the basis of these mutations.
The utilization of whole-genome sequence data, epigenomic maps and induced pluripotent stem (IPS) cell technologies facilitated the discovery that mutations in the pancreas-specific transcription factor 1a enhancer can cause isolated pancreatic agenesis. High resolution array comparative genomic hybridisation (CGH), whole-genome sequencing, maps of 3-D chromatin architecture, and mouse models generated using clustered regularly interspaced short palindromic repeats (CRISPR)/Cas were used to show that disruption of topological-associated domain boundary elements cause limb defects. Structural variants that reposition enhancers in somatic cells have also been described in cancer.
Although not ready for diagnostics, new technologies, epigenomic maps, and improved knowledge of chromatin architecture will soon enable a better understanding and diagnostic solutions for currently unexplained genetic disorders.
目前临床诊断性测序主要聚焦于识别外显子组中的致病突变,已知大多数致病突变都发生在此处。基因组的其余部分主要由控制基因表达的调控元件组成,但由于全基因组测序成本高昂且解读存在挑战,这些调控元件在临床诊断中在很大程度上仍未得到探索。本综述的目的是举例说明由调控元件突变引起的疾病,并介绍全基因组测序的诊断潜力。文中描述了不同类型的功能元件和染色质结构,以便为临床医生理解这些突变的基础提供依据。
全基因组序列数据、表观基因组图谱和诱导多能干细胞(IPS)技术的应用促成了一项发现,即胰腺特异性转录因子1a增强子中的突变可导致孤立性胰腺发育不全。高分辨率阵列比较基因组杂交(CGH)、全基因组测序、三维染色质结构图谱以及使用成簇规律间隔短回文重复序列(CRISPR)/Cas构建的小鼠模型,都被用于证明拓扑相关结构域边界元件的破坏会导致肢体缺陷。在癌症中也发现了可在体细胞中重新定位增强子的结构变异。
尽管尚未准备好用于诊断,但新技术、表观基因组图谱以及对染色质结构的深入了解,将很快有助于更好地理解目前无法解释的遗传疾病并提供诊断解决方案。