Design, Construction and Validation of Targeted BAC Array-Based CGH Test for Detecting the Most Commons Chromosomal Abnormalities.

Genomics insights Pub Date : 2010-03-11 eCollection Date: 2010-01-01 DOI:10.4137/GEI.S3683
Stefano Gambardella, Erika Ciabattoni, Francesca Motta, Giusy Stoico, Francesca Gullotta, Michela Biancolella, Anna Maria Nardone, Antonio Novelli, Ercole Brunetti, Laura Bernardini, Giuseppe Novelli
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引用次数: 2

Abstract

We designed a targeted-array called GOLD (Gain or Loss Detection) Chip consisting of 900 FISH-mapped non-overlapping BAC clones spanning the whole genome to enhance the coverage of 66 unique human genomic regions involved in well known microdeletion/microduplication syndromes. The array has a 10 Mb backbone to guarantee the detection of the aneuploidies, and has an implemented resolution for telomeres, and for regions involved in common genomic diseases. In order to evaluate clinical diagnostic applicability of GOLDChip, analytical validity was carried-out via retrospective analysis of DNA isolated from a series of cytogenetically normal amniocytes and cytogenetically abnormal DNA obtained from cultured amniocytes, peripheral blood and/or cell lines. We recruited 47 DNA samples corresponding to pathologies with significant frequencies (Cri du Chat syndrome, Williams syndrome, Prader Willi/Angelman syndromes, Smith-Magenis syndrome, DiGeorge syndrome, Miller-Dieker syndrome, chromosomes 13, 18 and 21 trisomies). We set up an experimental protocol that allowed to identify chromosomal rearrangements in all the DNA samples analyzed. Our results provide evidence that our targeted BAC array can be used for the identification of the most common microdeletion syndromes and common aneuploidies.

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靶向BAC阵列CGH检测最常见染色体异常的设计、构建与验证
我们设计了一种名为GOLD (Gain or Loss Detection)芯片的靶向阵列,该芯片由横跨整个基因组的900个fish定位的非重叠BAC克隆组成,以增强66个独特的人类基因组区域的覆盖范围,这些区域涉及众所周知的微缺失/微重复综合征。该阵列具有10mb的主干以保证非整倍体的检测,并对端粒和常见基因组疾病涉及的区域具有实现的分辨率。为了评估GOLDChip的临床诊断适用性,通过回顾性分析从一系列细胞遗传学正常的羊膜细胞中分离的DNA和从培养的羊膜细胞、外周血和/或细胞系中获得的细胞遗传学异常的DNA来进行分析的有效性。我们收集了47份与显著频率的病理相对应的DNA样本(Cri du Chat综合征、Williams综合征、Prader Willi/Angelman综合征、Smith-Magenis综合征、DiGeorge综合征、Miller-Dieker综合征、13、18和21号染色体三体)。我们建立了一个实验方案,允许在所有分析的DNA样本中识别染色体重排。我们的结果提供了证据,表明我们的靶向BAC阵列可用于鉴定最常见的微缺失综合征和常见的非整倍体。
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