SNP Analysis and Whole Exome Sequencing: Their Application in the Analysis of a Consanguineous Pedigree Segregating Ataxia.

Sarah L Nickerson, Renate Marquis-Nicholson, Karen Claxton, Fern Ashton, Ivone U S Leong, Debra O Prosser, Jennifer M Love, Alice M George, Graham Taylor, Callum Wilson, R J McKinlay Gardner, Donald R Love
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引用次数: 5

Abstract

Autosomal recessive cerebellar ataxia encompasses a large and heterogeneous group of neurodegenerative disorders. We employed single nucleotide polymorphism (SNP) analysis and whole exome sequencing to investigate a consanguineous Maori pedigree segregating ataxia. We identified a novel mutation in exon 10 of the SACS gene: c.7962T>G p.(Tyr2654*), establishing the diagnosis of autosomal recessive spastic ataxia of Charlevoix-Saguenay (ARSACS). Our findings expand both the genetic and phenotypic spectrum of this rare disorder, and highlight the value of high-density SNP analysis and whole exome sequencing as powerful and cost-effective tools in the diagnosis of genetically heterogeneous disorders such as the hereditary ataxias.

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SNP分析和全外显子组测序:它们在分离共济失调亲缘家系分析中的应用。
常染色体隐性小脑共济失调包括一个大的和异质组的神经退行性疾病。我们采用单核苷酸多态性(SNP)分析和全外显子组测序研究了分离共济失调的近亲毛利人家系。我们在SACS基因第10外显子上发现了一个新的突变:c.7962T>G .(Tyr2654*),建立了常染色体隐性遗传痉挛性共济失调(ARSACS)的诊断。我们的研究结果扩大了这种罕见疾病的遗传和表型谱,并强调了高密度SNP分析和全外显子组测序作为诊断遗传性共济失调等遗传异质性疾病的强大且经济有效的工具的价值。
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来源期刊
自引率
0.00%
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0
审稿时长
11 weeks
期刊介绍: High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: Microarrays, DNA Sequencing, RNA Sequencing, Protein Identification and Quantification, Cell-based Approaches, Omics Technologies, Imaging, Bioinformatics, Computational Biology/Chemistry, Statistics, Integrative Omics, Drug Discovery and Development, Microfluidics, Lab-on-a-chip, Data Mining, Databases, Multiplex Assays.
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