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针对神经发育障碍优化的超高分辨率染色体微阵列的临床性能

Clinical Performance of an Ultrahigh Resolution Chromosomal Microarray Optimized for Neurodevelopmental Disorders.

作者信息

Ho Karen S, Twede Hope, Vanzo Rena, Harward Erin, Hensel Charles H, Martin Megan M, Page Stephanie, Peiffer Andreas, Mowery-Rushton Patricia, Serrano Moises, Wassman E Robert

机构信息

Lineagen, Inc., Salt Lake City, UT, USA; Department of Pediatrics, University of Utah, Salt Lake City, UT, USA.

Lineagen, Inc., Salt Lake City, UT, USA.

出版信息

Biomed Res Int. 2016;2016:3284534. doi: 10.1155/2016/3284534. Epub 2016 Nov 16.

Abstract

Copy number variants (CNVs) as detected by chromosomal microarray analysis (CMA) significantly contribute to the etiology of neurodevelopmental disorders, such as developmental delay (DD), intellectual disability (ID), and autism spectrum disorder (ASD). This study summarizes the results of 3.5 years of CMA testing by a CLIA-certified clinical testing laboratory 5487 patients with neurodevelopmental conditions were clinically evaluated for rare copy number variants using a 2.8-million probe custom CMA optimized for the detection of CNVs associated with neurodevelopmental disorders. We report an overall detection rate of 29.4% in our neurodevelopmental cohort, which rises to nearly 33% when cases with DD/ID and/or MCA only are considered. The detection rate for the ASD cohort is also significant, at 25%. Additionally, we find that detection rate and pathogenic yield of CMA vary significantly depending on the primary indications for testing, the age of the individuals tested, and the specialty of the ordering doctor. We also report a significant difference between the detection rate on the ultrahigh resolution optimized array in comparison to the array from which it originated. This increase in detection can significantly contribute to the efficient and effective medical management of neurodevelopmental conditions in the clinic.

摘要

通过染色体微阵列分析(CMA)检测到的拷贝数变异(CNV)对神经发育障碍的病因有显著影响,如发育迟缓(DD)、智力残疾(ID)和自闭症谱系障碍(ASD)。本研究总结了一家经CLIA认证的临床检测实验室3.5年的CMA检测结果。对5487例患有神经发育疾病的患者进行了临床评估,使用针对检测与神经发育障碍相关的CNV优化的280万探针定制CMA检测罕见拷贝数变异。我们报告在我们的神经发育队列中总体检测率为29.4%,当仅考虑患有DD/ID和/或MCA的病例时,这一比例上升至近33%。ASD队列的检测率也很高,为25%。此外,我们发现CMA的检测率和致病率因检测的主要指征、被检测个体的年龄以及开单医生的专业而有显著差异。我们还报告了超高分辨率优化阵列与原始阵列相比在检测率上的显著差异。这种检测率的提高可显著有助于临床中对神经发育疾病进行高效有效的医疗管理。

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