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Microarray-Based Genomic DNA Profiling Technologies in Clinical Molecular Diagnostics

机译:基于微阵列的基因组DNA分析技术在临床分子诊断中的应用

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摘要

Microarray-based genomic DNA profiling (MGDP) technologies are rapidly moving from translational research to clinical diagnostics and have revolutionized medical practices. Such technologies have shown great advantages in detecting genomic imbalances associated with genomic disorders and single-gene diseases. We discuss the development and applications of the major array platforms that are being used in both academic and commercial laboratories. Although no standardized platform is expected to emerge soon, comprehensive oligonucleotide microarray platforms-both comparative genomic hybridization arrays and genotyping hybrid arrays-are rapidly becoming the methods of choice for their demonstrated analytical validity in detecting genomic imbalances, for their flexibility in incorporating customized designs and updates, and for the advantage of being easily manufactured. Copy number variants (CNVs), the form of genomic deletions/duplications detected through MGDP, are a common etiology for a variety of clinical phenotypes. The widespread distribution of CNVs poses great challenges in interpretation. Abroad survey of CNVs in the healthy population, combined with the data accumulated from the patient population in clinical laboratories, will provide a better understanding of the nature of CNVs and enhance the power of identifying genetic risk factors for medical conditions. MGDP technologies for molecular diagnostics are still at an early stage but are rapidly evolving. We are in the process of extensive clinical validation and utility evaluation of different array designs and technical platforms. CNVs of currently unknown importance will be a rich source of novel discoveries.
机译:基于微阵列的基因组DNA分析(MGDP)技术正从翻译研究迅速过渡到临床诊断,并彻底改变了医学实践。此类技术在检测与基因组疾病和单基因疾病相关的基因组失衡方面显示出巨大优势。我们讨论了学术和商业实验室都在使用的主要阵列平台的开发和应用。尽管没有标准化的平台有望很快出现,但是比较寡核苷酸微阵列平台(比较基因组杂交阵列和基因分型杂交阵列)由于其在检测基因组失衡方面表现出的分析有效性,在结合定制设计和检测方法中的灵活性而迅速成为选择的方法。更新,并具有易于制造的优势。拷贝数变异(CNV)是通过MGDP检测到的基因组缺失/重复形式,是多种临床表型的常见病因。 CNV的广泛分布给解释带来了巨大挑战。健康人群中CNV的国外调查,再结合临床实验室从患者人群中收集的数据,将使人们对CNV的性质有更好的了解,并增强了识别疾病的遗传危险因素的能力。用于分子诊断的MGDP技术仍处于早期阶段,但发展迅速。我们正在对不同阵列设计和技术平台进行广泛的临床验证和实用性评估。目前重要性不高的CNV将成为新发现的丰富来源。

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  • 来源
    《Clinical Chemistry 》 |2009年第4期| p.659-669| 共11页
  • 作者

    Yiping Shen Bai-Lin Wu;

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    Yiping Shen1,2,3 and Bai-Lin Wu1,3,4*1 Children's Hospital Boston, Boston, MA, 2 Massachusetts General Hospital, Boston, MA, 3 Harvard Medical School, Boston, MA, 4 Fudan University, Shanghai, China.* Address correspondence to this author at: Departments of Lab Medicine and Pathology, Children's Hospital and Harvard Medical School, 300 Longwood Ave., Boston, MA 02115. Fax 617 730 0338, e-mail bai-lin.wu@childrens. harvard.edu.Received October 24, 2008, accepted January 26, 2009.Previously published online at DOI: 10.1373/clinchem.2008.112821,;

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