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首页> 外文期刊>Molecular and Cellular Probes: The Location, Diagnosis and Monitoring of Disease by Specific Molecules and Cell Lines >Detecting copy number variations in autosomal recessive limb-girdle muscular dystrophies using a multiplex ligation-dependent probe amplification (MLPA) assay.
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Detecting copy number variations in autosomal recessive limb-girdle muscular dystrophies using a multiplex ligation-dependent probe amplification (MLPA) assay.

机译:使用多重连接依赖探针扩增(MLPA)分析检测常染色体隐性隐性四肢腰肌营养不良的拷贝数变化。

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摘要

Pathogenic mutations in the four sarcoglycan genes, designated SGCA, SGCB, SGCD and SGCG, are responsible for a subgroup of autosomal, recessive limb-girdle muscular dystrophies (LGMD 2C-F), also called sarcoglycanopathies. For the present study, we designed a multiplex ligation-dependent probe amplification (MLPA) assay, targeting all 30 coding exons and a non-coding exon of these four genes. The assay uses synthetic probes and two colours, such that as many as 28 probes can be combined into one reaction. The set of probes was established for routine application, in order to diagnostically screen patients for large duplications or deletions. In 14 of the 94 cases (15%) tested, we detected changes in copy number. Mutations in gene SGCG accounted for 7 of the 94 cases (8%), suggesting that the size of the gene makes it vulnerable to large exonic deletions. The results suggested that all cases of sarcoglycanopathy should be screened for changes in copy number. The MLPA was shown to be a rapid, robust andreliable method to screen for copy number variations (CNVs). The present synthetic probe-approach overcomes the limitations associated with cloning procedures and is particularly applicable to a range of diseases for which the number of patients to be tested is small.
机译:四个肌糖蛋白基因的致病突变,分别命名为SGCA,SGCB,SGCD和SGCG,是常染色体,隐性肢带腰肌营养不良症(LGMD 2C-F)的一个亚组,也称为肌糖蛋白病。对于本研究,我们设计了针对这四个基因的所有30个编码外显子和一个非编码外显子的多重连接依赖性探针扩增(MLPA)分析。该测定法使用合成探针和两种颜色,因此多达28种探针可以组合成一个反应。建立该套探针用于常规应用,以诊断性地筛查患者的大量重复或缺失。在测试的94例病例中,有14例(占15%)检测到拷贝数变化。 SGCG基因突变占94例病例中的7例(8%),表明该基因的大小使其容易受到大的外显子缺失的影响。结果表明,应筛查所有肌无糖症病例的拷贝数变化。 MLPA被证明是一种快速,强大且可靠的筛选拷贝数变异(CNV)的方法。本发明的合成探针方法克服了与克隆程序有关的局限性,并且特别适用于待测患者人数少的一系列疾病。

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