Rett Expertise Centre Netherlands - GKC, Maastricht University Medical Center, Maastricht, The Netherlands.
Department of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, Maastricht, The Netherlands.
Hum Mutat. 2018 Jul;39(7):914-924. doi: 10.1002/humu.23542. Epub 2018 May 21.
Rett syndrome (RTT) is a monogenic rare disorder that causes severe neurological problems. In most cases, it results from a loss-of-function mutation in the gene encoding methyl-CPG-binding protein 2 (MECP2). Currently, about 900 unique MECP2 variations (benign and pathogenic) have been identified and it is suspected that the different mutations contribute to different levels of disease severity. For researchers and clinicians, it is important that genotype-phenotype information is available to identify disease-causing mutations for diagnosis, to aid in clinical management of the disorder, and to provide counseling for parents. In this study, 13 genotype-phenotype databases were surveyed for their general functionality and availability of RTT-specific MECP2 variation data. For each database, we investigated findability and interoperability alongside practical user functionality, and type and amount of genetic and phenotype data. The main conclusions are that, as well as being challenging to find these databases and specific MECP2 variants held within, interoperability is as yet poorly developed and requires effort to search across databases. Nevertheless, we found several thousand online database entries for MECP2 variations and their associated phenotypes, diagnosis, or predicted variant effects, which is a good starting point for researchers and clinicians who want to provide, annotate, and use the data.
雷特综合征(RTT)是一种单基因罕见疾病,会导致严重的神经问题。在大多数情况下,它是由编码甲基-CPG 结合蛋白 2(MECP2)的基因突变引起的。目前,已经鉴定出大约 900 种独特的 MECP2 变异(良性和致病性),并且怀疑不同的突变导致不同程度的疾病严重程度。对于研究人员和临床医生来说,获得基因型-表型信息非常重要,这有助于识别致病突变以进行诊断,辅助疾病的临床管理,并为父母提供咨询。在这项研究中,我们调查了 13 个基因型-表型数据库,以了解它们的一般功能以及 RTT 特异性 MECP2 变异数据的可用性。对于每个数据库,我们调查了可发现性和互操作性以及实际用户功能,以及遗传和表型数据的类型和数量。主要结论是,除了难以找到这些数据库以及其中包含的特定 MECP2 变体之外,互操作性的发展还很差,需要努力在数据库之间进行搜索。尽管如此,我们还是找到了数千个 MECP2 变异及其相关表型、诊断或预测变异效应的在线数据库条目,这对于希望提供、注释和使用这些数据的研究人员和临床医生来说是一个很好的起点。