Firth Helen V, Richards Shola M, Bevan A Paul, Clayton Stephen, Corpas Manuel, Rajan Diana, Van Vooren Steven, Moreau Yves, Pettett Roger M, Carter Nigel P
Cambridge University Department of Medical Genetics, Addenbrooke's Hospital, Cambridge CB2 2QQ, UK.
Am J Hum Genet. 2009 Apr;84(4):524-33. doi: 10.1016/j.ajhg.2009.03.010. Epub 2009 Apr 2.
Many patients suffering from developmental disorders harbor submicroscopic deletions or duplications that, by affecting the copy number of dosage-sensitive genes or disrupting normal gene expression, lead to disease. However, many aberrations are novel or extremely rare, making clinical interpretation problematic and genotype-phenotype correlations uncertain. Identification of patients sharing a genomic rearrangement and having phenotypic features in common leads to greater certainty in the pathogenic nature of the rearrangement and enables new syndromes to be defined. To facilitate the analysis of these rare events, we have developed an interactive web-based database called DECIPHER (Database of Chromosomal Imbalance and Phenotype in Humans Using Ensembl Resources) which incorporates a suite of tools designed to aid the interpretation of submicroscopic chromosomal imbalance, inversions, and translocations. DECIPHER catalogs common copy-number changes in normal populations and thus, by exclusion, enables changes that are novel and potentially pathogenic to be identified. DECIPHER enhances genetic counseling by retrieving relevant information from a variety of bioinformatics resources. Known and predicted genes within an aberration are listed in the DECIPHER patient report, and genes of recognized clinical importance are highlighted and prioritized. DECIPHER enables clinical scientists worldwide to maintain records of phenotype and chromosome rearrangement for their patients and, with informed consent, share this information with the wider clinical research community through display in the genome browser Ensembl. By sharing cases worldwide, clusters of rare cases having phenotype and structural rearrangement in common can be identified, leading to the delineation of new syndromes and furthering understanding of gene function.
许多患有发育障碍的患者存在亚微观缺失或重复,这些缺失或重复通过影响剂量敏感基因的拷贝数或破坏正常基因表达而导致疾病。然而,许多畸变是新出现的或极其罕见的,这使得临床解读存在问题,基因型与表型的相关性也不确定。识别出具有共同基因组重排且有共同表型特征的患者,会使对该重排致病性质的确定度更高,并能够定义新的综合征。为便于分析这些罕见事件,我们开发了一个基于网络的交互式数据库,称为DECIPHER(利用Ensembl资源的人类染色体失衡与表型数据库),它整合了一套旨在辅助解读亚微观染色体失衡、倒位和易位的工具。DECIPHER编目了正常人群中常见的拷贝数变化,因此通过排除法能够识别出新的、可能致病的变化。DECIPHER通过从各种生物信息学资源中检索相关信息来加强遗传咨询。DECIPHER患者报告中列出了畸变区域内已知和预测的基因,具有公认临床重要性的基因会被突出显示并排序。DECIPHER使全球的临床科学家能够为他们的患者保存表型和染色体重排记录,并在获得知情同意后,通过在基因组浏览器Ensembl中展示,与更广泛的临床研究群体分享这些信息。通过在全球范围内共享病例,可以识别出具有共同表型和结构重排的罕见病例集群,从而确定新的综合征并进一步了解基因功能。