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Detection of exonic copy‐number changes using a highly efficient oligonucleotide‐based comparative genomic hybridization‐array method
Author(s) -
Saillour Yoann,
Cossée Mireille,
Leturcq France,
Vasson Aurélie,
Beugnet Caroline,
Poirier Karine,
Commere Virginie,
Sublemontier Sébastien,
Viel Marion,
Letourneur Franck,
Barbot Jean Claude,
Deburgrave Nathalie,
Chelly Jamel,
Bienvenu Thierry
Publication year - 2008
Publication title -
human mutation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.981
H-Index - 162
eISSN - 1098-1004
pISSN - 1059-7794
DOI - 10.1002/humu.20829
Subject(s) - biology , comparative genomic hybridization , oligonucleotide , computational biology , genetics , copy number variation , gene , genome
Genomic copy‐number variations (CNVs) involving large DNA segments are known to cause many genetic disorders. Depending on the changes, they are predicted to lead either to decreased or an increased gene expression. However, the ability to detect smaller exonic copy‐number changes has not been explored. Here we describe a new oligonucleotide‐based comparative genomic hybridization (CGH)‐array approach for high‐throughput detection of exonic deletions or duplications and its application to deletion/duplication analyses of the genes encoding CFTR , six sarcoglycans ( SGCA , SGCB , SGCG , SGCD , SGCE , and SGCZ ), and DMD . In this work we show the successful development of an array format containing 158 exons that collectively span eight genes and its clinical application for the rapid screening of deletions and duplications in a diagnostic setting. We have analyzed a series of 35 DNA samples from patients affected with cystic fibrosis (CF), Duchenne and Becker muscular dystrophies (DMD/BMD), or sarcoglycanopathies, and have characterized exonic copy‐number changes that have been validated with other methods. Interestingly, even heterozygous deletions and duplications of only one exon, as well as mosaic deletions, were detected by this CGH approach. Our results showed that the resolution is very high, as abnormalities of about 1.5–2 kb could be detected. Since this approach is completely scalable, this new molecular tool will allow the screening of combinations of genes involved in a particular group of clinically and genetically heterogeneous disorders such as mental retardation, muscular dystrophies and brain malformations. Hum Mutat 0,1–8, 2008. © 2008 Wiley‐Liss, Inc.