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Exon Array CGH: Detection of Copy-Number Changes at the Resolution of Individual Exons in the Human Genome.

Authors :
Dhami, Pawandeep
Coffey, Alison J.
Abbs, Stephen
Vermeesch, Ions R.
Dumanski, Jan P.
Woodward, Karen J.
Andrews, Robert M.
Langford, Cordelia
Vetnie, David
Source :
American Journal of Human Genetics. May2005, Vol. 76 Issue 5, p750-762. 13p.
Publication Year :
2005

Abstract

The development of high-throughput screening methods such as array-based comparative genome hybridization (array CGH) allows screening of the human genome for copy-number changes. Current array CGH strategies have limits of resolution that make detection of small (less than a few tens of kilobases) gains or losses of genomic DNA difficult to identify. We report here a significant improvement in the resolution of array CGH, with the development of an array platform that utilizes single-stranded DNA array elements to accurately measure copy-number changes of individual exons in the human genome. Using this technology, we screened 31 patient samples across an array containing a total of 162 exons for five disease genes and detected copy-number changes, ranging from whole-gene deletions and duplications to single-exon deletions and duplications, in 100% of the cases. Our data demonstrate that it is possible to screen the human genome for copy-number changes with array CGH at a resolution that is 2 orders of magnitude higher than that previously reported. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00029297
Volume :
76
Issue :
5
Database :
Academic Search Index
Journal :
American Journal of Human Genetics
Publication Type :
Academic Journal
Accession number :
16647251
Full Text :
https://doi.org/10.1086/429588