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基因芯片技术在医学遗传学中的诊断应用

Array genotyping as diagnostic approach in medical genetics.

机构信息

Institute of Human Genetics, Medical University Innsbruck, Innsbruck, Austria.

JSI Medical Systems GmbH, Ettenheim, Germany.

出版信息

Mol Genet Genomic Med. 2022 Sep;10(9):e2016. doi: 10.1002/mgg3.2016. Epub 2022 Aug 1.

Abstract

Genotyping arrays are by far the most widely used genetic tests but are not generally utilized for diagnostic purposes in a medical context. In the present study, we examined the diagnostic value of a standard genotyping array (Illumina Global Screening Array) for a range of indications. Applications included stand-alone testing for specific variants (32 variants in 10 genes), first-tier array variant screening for monogenic conditions (10 different autosomal recessive metabolic diseases), and diagnostic workup for specific conditions caused by variants in multiple genes (suspected familial breast and ovarian cancer, and hypercholesterolemia). Our analyses showed a high analytical sensitivity and specificity of array-based analyses for validated and non-validated variants, and identified pitfalls that require attention. Ethical-legal assessment highlighted the need for a software solution that allows for individual indication-based consent and the reliable exclusion of non-consented results. Cost/time assessment revealed excellent performance of diagnostic array analyses, depending on indication, proband data, and array design. We have implemented some analyses in our diagnostic portfolio, but array optimization is required for the implementation of other indications.

摘要

基因分型芯片是迄今为止应用最广泛的遗传检测方法,但通常不用于医学背景下的诊断目的。在本研究中,我们研究了标准基因分型芯片(Illumina Global Screening Array)在一系列适应证中的诊断价值。应用包括针对特定变异的独立检测(10 个基因中的 32 个变异)、针对单基因疾病的一线芯片变异筛查(10 种不同的常染色体隐性代谢疾病),以及针对由多个基因变异引起的特定疾病的诊断性检查(疑似家族性乳腺癌和卵巢癌以及高胆固醇血症)。我们的分析表明,基于阵列的分析对于经过验证和未经验证的变异具有较高的分析灵敏度和特异性,并确定了需要注意的缺陷。伦理法律评估强调需要一种软件解决方案,该解决方案允许基于个体适应证的同意,并可靠地排除未经同意的结果。成本/时间评估表明,根据适应证、先证者数据和阵列设计,诊断性阵列分析的性能非常出色。我们已经在我们的诊断组合中实施了一些分析,但对于其他适应证的实施还需要进行阵列优化。

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Array genotyping as diagnostic approach in medical genetics.基因芯片技术在医学遗传学中的诊断应用
Mol Genet Genomic Med. 2022 Sep;10(9):e2016. doi: 10.1002/mgg3.2016. Epub 2022 Aug 1.

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