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Detection of ≥1Mb microdeletions and microduplications in a single cell using custom oligonucleotide arrays.

Authors :
Bi W
Breman A
Shaw CA
Stankiewicz P
Gambin T
Lu X
Cheung SW
Jackson LG
Lupski JR
Van den Veyver IB
Beaudet AL
Bi, Weimin
Breman, Amy
Shaw, Chad A
Stankiewicz, Pawel
Gambin, Tomasz
Lu, Xinyan
Cheung, Sau Wai
Jackson, Laird G
Lupski, James R
Source :
Prenatal Diagnosis; Jan2012, Vol. 32 Issue 1, p10-20, 11p
Publication Year :
2012

Abstract

<bold>Objective: </bold>High resolution detection of genomic copy number abnormalities in a single cell is relevant to preimplantation genetic diagnosis and potentially to noninvasive prenatal diagnosis. Our objective is to develop a reliable array comparative genomic hybridization (CGH) platform to detect genomic imbalances as small as ~1Mb ina single cell.<bold>Methods: </bold>We empirically optimized the conditions for oligonucleotide-based array CGH using single cells from multiple lymphoblastoid cell lines with known copy number abnormalities. To improve resolution, we designed custom arrays with high density probes covering clinically relevant genomic regions.<bold>Results: </bold>The detection of megabase-sized copy number variations (CNVs) in a single cell was influenced by the number of probes clustered in the interrogated region. Using our custom array, we reproducibly detected multiple chromosome abnormalities including trisomy 21, a 1.2Mb Williams syndrome deletion, and a 1.3Mb CMT1A duplication. Replicate analyses yielded consistent results.<bold>Conclusion: </bold>Aneuploidy and genomic imbalances with CNVs as small as 1.2Mb in a single cell are detectable by array CGH using arrays with high-density coverage in the targeted regions. This approach has the potential to be applied for preimplantation genetic diagnosis to detect aneuploidy and common microdeletion/duplication syndromes and for noninvasive prenatal diagnosis if single fetal cells can be isolated. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01973851
Volume :
32
Issue :
1
Database :
Complementary Index
Journal :
Prenatal Diagnosis
Publication Type :
Academic Journal
Accession number :
104546489