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首页> 外文期刊>Human mutation >MECP2 MECP2 variation in Rett syndrome—An overview of current coverage of genetic and phenotype data within existing databases
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MECP2 MECP2 variation in Rett syndrome—An overview of current coverage of genetic and phenotype data within existing databases

机译:MECP2 MECP2 RETT综合征的变化 - 现有数据库中遗传和表型数据的当前覆盖概述

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摘要

Abstract 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.
机译:摘要Rett综合征(RTT)是一种导致严重的神经问题的单一稀有病症。在大多数情况下,它来自编码甲基-CPG结合蛋白2的基因中的功能突变突变(MECP2)。目前,已经确定了大约900个独特的MECP2变异(良性和致病),并且怀疑不同的突变有助于不同程度的疾病严重程度。对于研究人员和临床医生来说,重要的是,基因型 - 表型信息可用于鉴定疾病导致的诊断突变,以帮助疾病的临床管理,并为父母提供咨询。在本研究中,调查了13个基因型 - 表型数据库,用于其一般功能和RTT特定MECP2变异数据的可用性。对于每个数据库,我们调查了具有实际用户功能的可靠性和互操作性,以及遗传和表型数据的类型和数量。主要结论是,并具有挑战性地找到这些数据库和特定的MECP2变体,互操作性发展得不良,需要努力跨数据库搜索。尽管如此,我们发现了几千名在线数据库条目,用于MECP2变异及其相关的表型,诊断或预测的变体效果,这对于想要提供,注释和使用数据的研究人员和临床医生是一个很好的起点。

著录项

  • 来源
    《Human mutation》 |2018年第7期|共11页
  • 作者单位

    Rett Expertise Centre Netherlands ‐ GKCMaastricht University Medical CenterMaastricht The;

    Rett Expertise Centre Netherlands ‐ GKCMaastricht University Medical CenterMaastricht The;

    Rett Expertise Centre Netherlands ‐ GKCMaastricht University Medical CenterMaastricht The;

    Center for Plant Biotechnology and GenomicsUniversidad Politécnica de MadridMadrid Spain;

    Department of Human GeneticsLeiden University Medical CenterLeiden The Netherlands;

    Department of Human GeneticsLeiden University Medical CenterLeiden The Netherlands;

    Department of Bioinformatics ‐ BiGCaTMaastricht UniversityMaastricht The Netherlands;

    Department of GeneticsUniversity of GroningenGroningen The Netherlands;

    Rett Expertise Centre Netherlands ‐ GKCMaastricht University Medical CenterMaastricht The;

    Rett Expertise Centre Netherlands ‐ GKCMaastricht University Medical CenterMaastricht The;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 医学遗传学;
  • 关键词

    databases; FAIR data; genetic variation; MECP2; phenotype; Rett syndrome;

    机译:数据库;公平数据;遗传变异;MECP2;表型;RETT综合征;

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