ALSoD: A user-friendly online bioinformatics tool for amyotrophic lateral sclerosis genetics

被引:246
作者
Abel, Olubunmi [1 ]
Powell, John F. [4 ]
Andersen, Peter M. [2 ,3 ]
Al-Chalabi, Ammar [1 ]
机构
[1] Kings Coll London, Inst Psychiat, Dept Clin Neurosci, London SE5 8AF, England
[2] Umea Univ, Inst Pharmacol & Clin Neurosci, Neurol Sect, Umea, Sweden
[3] Univ Ulm, Dept Neurol, D-7900 Ulm, Germany
[4] Kings Coll London, Inst Psychiat, Dept Neurosci, London SE5 8AF, England
关键词
ALSoD; amyotrophic lateral sclerosis; Web-bases; database; genetics; motor neuron disease; MUTATION DATABASES; LIFE SCIENCES; NETWORK;
D O I
10.1002/humu.22157
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Amyotrophic lateral sclerosis (ALS) is the commonest adult onset motor neuron disease, with a peak age of onset in the seventh decade. With advances in genetic technology, there is an enormous increase in the volume of genetic data produced, and a corresponding need for storage, analysis, and interpretation, particularly as our understanding of the relationships between genotype and phenotype mature. Here, we present a system to enable this in the form of the ALS Online Database (ALSoD at http://alsod.iop.kcl.ac.uk), a freely available database that has been transformed from a single gene storage facility recording mutations in the SOD1 gene to a multigene ALS bioinformatics repository and analytical instrument combining genotype, phenotype, and geographical information with associated analysis tools. These include a comparison tool to evaluate genes side by side or jointly with user configurable features, a pathogenicity prediction tool using a combination of computational approaches to distinguish variants with nonfunctional characteristics from disease-associated mutations with more dangerous consequences, and a credibility tool to enable ALS researchers to objectively assess the evidence for gene causation in ALS. Furthermore, integration of external tools, systems for feedback, annotation by users, and two-way links to collaborators hosting complementary databases further enhance the functionality of ALSoD. Hum Mutat 33:1345-1351, 2012. (c) 2012 Wiley Periodicals, Inc.
引用
收藏
页码:1345 / 1351
页数:7
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