Laboratory for Immunogenomics, RIKEN Research Center for Allergy and Immunology, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan.
DNA Res. 2010 Jun;17(3):197-208. doi: 10.1093/dnares/dsq010. Epub 2010 Apr 1.
Although mutation analysis serves as a key part in making a definitive diagnosis about a genetic disease, it still remains a time-consuming step to interpret their biological implications through integration of various lines of archived information about genes in question. To expedite this evaluation step of disease-causing genetic variations, here we developed Mutation@A Glance (http://rapid.rcai.riken.jp/mutation/), a highly integrated web-based analysis tool for analysing human disease mutations; it implements a user-friendly graphical interface to visualize about 40,000 known disease-associated mutations and genetic polymorphisms from more than 2600 protein-coding human disease-causing genes. Mutation@A Glance locates already known genetic variation data individually on the nucleotide and the amino acid sequences and makes it possible to cross-reference them with tertiary and/or quaternary protein structures and various functional features associated with specific amino acid residues in the proteins. We showed that the disease-associated missense mutations had a stronger tendency to reside in positions relevant to the structure/function of proteins than neutral genetic variations. From a practical viewpoint, Mutation@A Glance could certainly function as a 'one-stop' analysis platform for newly determined DNA sequences, which enables us to readily identify and evaluate new genetic variations by integrating multiple lines of information about the disease-causing candidate genes.
虽然突变分析是对遗传疾病做出明确诊断的关键部分,但通过整合有关可疑基因的各种存档信息来解释其生物学意义仍然是一个耗时的步骤。为了加快致病基因突变的评估步骤,我们在这里开发了 Mutation@A Glance(http://rapid.rcai.riken.jp/mutation/),这是一个高度集成的基于网络的人类疾病突变分析工具;它实现了一个用户友好的图形界面,可以可视化来自 2600 多个编码人类疾病的致病基因的约 40000 个已知疾病相关突变和遗传多态性。Mutation@A Glance 分别在核苷酸和氨基酸序列上定位已有的遗传变异数据,并使它们能够与三级和/或四级蛋白质结构以及与蛋白质中特定氨基酸残基相关的各种功能特征进行交叉参考。我们表明,与中性遗传变异相比,疾病相关的错义突变更倾向于位于与蛋白质结构/功能相关的位置。从实际的角度来看,Mutation@A Glance 肯定可以作为新确定的 DNA 序列的“一站式”分析平台,通过整合有关致病候选基因的多条信息,使我们能够轻松识别和评估新的遗传变异。