首页> 外文期刊>Journal of Medical Genetics >Detection of cryptic pathogenic copy number variations and constitutional loss of heterozygosity using high resolution SNP microarray analysis in 117 patients referred for cytogenetic analysis and impact on clinical practice.
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Detection of cryptic pathogenic copy number variations and constitutional loss of heterozygosity using high resolution SNP microarray analysis in 117 patients referred for cytogenetic analysis and impact on clinical practice.

机译:使用高分辨率SNP微阵列分析法对117名接受细胞遗传学分析的患者进行了隐匿的致病性拷贝数变异和杂合性结构损失的检测,并对临床实践产生了影响。

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BACKGROUND: Microarray genome analysis is realising its promise for improving detection of genetic abnormalities in individuals with mental retardation and congenital abnormality. Copy number variations (CNVs) are now readily detectable using a variety of platforms and a major challenge is the distinction of pathogenic from ubiquitous, benign polymorphic CNVs. The aim of this study was to investigate replacement of time consuming, locus specific testing for specific microdeletion and microduplication syndromes with microarray analysis, which theoretically should detect all known syndromes with CNV aetiologies as well as new ones. METHODS: Genome wide copy number analysis was performed on 117 patients using Affymetrix 250K microarrays. RESULTS: 434 CNVs (195 losses and 239 gains) were found, including 18 pathogenic CNVs and 9 identified as "potentially pathogenic". Almost all pathogenic CNVs were larger than 500 kb, significantly larger than the median size of all CNVs detected. Segmental regions of loss of heterozygosity larger than 5 Mb were found in 5 patients. CONCLUSIONS: Genome microarray analysis has improved diagnostic success in this group of patients. Several examples of recently discovered "new syndromes" were found suggesting they are more common than previously suspected and collectively are likely to be a major cause of mental retardation. The findings have several implications for clinical practice. The study revealed the potential to make genetic diagnoses that were not evident in the clinical presentation, with implications for pretest counselling and the consent process. The importance of contributing novel CNVs to high quality databases for genotype-phenotype analysis and review of guidelines for selection of individuals for microarray analysis is emphasised.
机译:背景:微阵列基因组分析正在实现其有望改善智力低下和先天性异常个体的遗传异常检测的前景。现在,可以使用多种平台轻松检测出拷贝数变异(CNV),而主要的挑战是将病原体与普遍存在的良性多态CNV区别开来。这项研究的目的是研究用微阵列分析代替耗时的,针对特定微缺失和微复制综合征的基因座特异性检测,从理论上讲应该检测所有已知的CNV病因和新病。方法:使用Affymetrix 250K芯片对117例患者进行了全基因组拷贝数分析。结果:共发现434台CNV(195台损失和239台增益),包括18台病原体CNV和9台被认定为“潜在病原体”。几乎所有致病性CNV都大于500 kb,明显大于检测到的所有CNV的中值大小。 5例患者发现杂合性丧失的节段区域大于5 Mb。结论:基因组芯片分析提高了该组患者的诊断成功率。发现了一些最近发现的“新综合症”的例子,表明它们比以前所怀疑的更为普遍,并且很可能是智力低下的主要原因。该发现对临床实践具有若干含义。该研究揭示了进行临床诊断中不明显的基因诊断的潜力,这对预测试咨询和同意过程具有影响。强调了向高质量数据库进行基因型-表型分析以及为微阵列分析选择个体的指南的回顾对新型CNV的贡献。

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