Detection of submicroscopic constitutional chromosome aberrations in clinical diagnostics: A validation of the practical performance of different array platforms

Zhong Fa Zhang, Claudia Ruivenkamp, Johan Staaf, Hongbo Zhu, Michela Barbaro, David Petillo, Sok Kean Khoo, Åke Borg, Yao Shan Fan, Jacqueline Schoumans

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28 Scopus citations

Abstract

For several decades etiological diagnosis of patients with idiopathic mental retardation (MR) and multiple congenital anomalies (MCA) has relied on chromosome analysis by karyotyping. Conventional karyotyping allows a genome-wide detection of chromosomal abnormalities but has a limited resolution. Recently, array-based comparative genomic hybridization (array CGH) technologies have been developed to evaluate DNA copy-number alterations across the whole-genome at a much higher resolution. It has proven to be an effective tool for detection of submicroscopic chromosome abnormalities causing congenital disorders and has recently been adopted for clinical applications. Here, we investigated four high-density array platforms with a theoretical resolution ≤100kb: 33K tiling path BAC array, 500K Affymetrix SNP array, 385K NimbleGen oligonucleotide array and 244K Agilent oligonucleotide array for their robustness and implementation in our diagnostic setting. We evaluated the practical performance based on the detection of 10 previously characterized abnormalities whose size ranged from 100kb to 3Mb. Furthermore, array data analysis was performed using four computer programs developed for each corresponding platform to test their effective ability of reliable copy-number detection and their user-friendliness. All tested platforms provided sensitive performances, but our experience showed that accurate and user-friendly computer programs are of crucial importance for reliable copy-number detection.

Original languageEnglish (US)
Pages (from-to)786-792
Number of pages7
JournalEuropean Journal of Human Genetics
Volume16
Issue number7
DOIs
StatePublished - Jul 1 2008

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ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

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