Abstract
Classical tumor suppressor gene discovery has largely involved linkage analysis and loss-of-heterozygosity (LOH) screens, followed by detailed mapping of relatively large chromosomal regions. Subsequent efforts made use of genome-wide PCR-based methods to detect rare homozygous deletions. More recently, high-resolution genomic arrays have been applied to cancer gene discovery. However, accurate characterization of regions of genomic loss is particularly challenging due to sample heterogeneity, the small size of deleted regions and the high frequency of germline copy number polymorphisms. Here, we review the application of genome-wide copy number analysis to the specific problem of identifying tumor suppressor genes.
Keywords: Array CGH, copy number analysis, cancer, tumor suppressor genes
Current Genomics
Title: Discovering Tumor Suppressor Genes Through Genome-Wide Copy Number Analysis
Volume: 11 Issue: 5
Author(s): S. Michael Rothenberg and Jeff Settleman
Affiliation:
Keywords: Array CGH, copy number analysis, cancer, tumor suppressor genes
Abstract: Classical tumor suppressor gene discovery has largely involved linkage analysis and loss-of-heterozygosity (LOH) screens, followed by detailed mapping of relatively large chromosomal regions. Subsequent efforts made use of genome-wide PCR-based methods to detect rare homozygous deletions. More recently, high-resolution genomic arrays have been applied to cancer gene discovery. However, accurate characterization of regions of genomic loss is particularly challenging due to sample heterogeneity, the small size of deleted regions and the high frequency of germline copy number polymorphisms. Here, we review the application of genome-wide copy number analysis to the specific problem of identifying tumor suppressor genes.
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Cite this article as:
Michael Rothenberg S. and Settleman Jeff, Discovering Tumor Suppressor Genes Through Genome-Wide Copy Number Analysis, Current Genomics 2010; 11 (5) . https://dx.doi.org/10.2174/138920210791616734
DOI https://dx.doi.org/10.2174/138920210791616734 |
Print ISSN 1389-2029 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5488 |
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