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Novel MLPA procedure using self-designed probes allows comprehensive analysis for CNVs of the genes involved in Hirschsprung disease

机译:使用自行设计的探针的新型MLPA程序可对与大隐孢子虫病相关基因的CNV进行全面分析

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Background Hirschsprung disease is characterized by the absence of intramural ganglion cells in the enteric plexuses, due to a fail during enteric nervous system formation. Hirschsprung has a complex genetic aetiology and mutations in several genes have been related to the disease. There is a clear predominance of missenseonsense mutations in these genes whereas copy number variations (CNVs) have been seldom described, probably due to the limitations of conventional techniques usually employed for mutational analysis. In this study, we have looked for CNVs in some of the genes related to Hirschsprung ( EDNRB, GFRA1, NRTN and PHOX2B ) using the Multiple Ligation-dependent Probe Amplification (MLPA) approach. Methods CNVs screening was performed in 208 HSCR patients using a self-designed set of MLPA probes, covering the coding region of those genes. Results A deletion comprising the first 4 exons in GFRA1 gene was detected in 2 sporadic HSCR patients and in silico approaches have shown that the critical translation initiation signal in the mutant gene was abolished. In this study, we have been able to validate the reliability of this technique for CNVs screening in HSCR. Conclusions The implemented MLPA based technique presented here allows CNV analysis of genes involved in HSCR that have not been not previously evaluated. Our results indicate that CNVs could be implicated in the pathogenesis of HSCR, although they seem to be an uncommon molecular cause of HSCR.
机译:背景技术由于肠道神经系统形成过程中的衰竭,Hirschsprung疾病的特征在于肠神经丛中不存在壁内神经节细胞。 Hirschsprung具有复杂的遗传病因,并且几个基因的突变与该疾病有关。这些基因中的错义/无义突变明显占优势,而很少描述拷贝数变异(CNV),这可能是由于通常用于突变分析的常规技术的局限性所致。在这项研究中,我们已使用多连接依赖性探针扩增(MLPA)方法在与Hirschsprung相关的某些基因(EDNRB,GFRA1,NRTN和PHOX2B)中寻找CNV。方法使用一套自行设计的MLPA探针覆盖208个HSCR患者的基因编码区,进行CNV筛查。结果在2例散发性HSCR患者中检测到了GFRA1基因前4个外显子的缺失,并且计算机分析表明该突变基因中的关键翻译起始信号已被消除。在这项研究中,我们已经能够验证该技术在HSCR中筛选CNV的可靠性。结论这里介绍的已实现的基于MLPA的技术可以对HSCR中涉及的基因进行CNV分析,而以前尚未对其进行评估。我们的结果表明,CNV可能与HSCR的发病机制有关,尽管它们似乎不是HSCR的常见分子原因。

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