Allelic Selection of Amplicons in Glioblastoma Revealed by Combining Somatic and Germline Analysis

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Allelic Selection of Amplicons in Glioblastoma Revealed by Combining Somatic and Germline Analysis

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Title: Allelic Selection of Amplicons in Glioblastoma Revealed by Combining Somatic and Germline Analysis
Author: LaFramboise, Thomas; Dewal, Ninad; Wilkins, Katherine; Pe'er, Itsik; Freedman, Matthew Lawrence

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Citation: LaFramboise, Thomas, Ninad Dewal, Katherine Wilkins, Itsik Pe'er, and Matthew L. Freedman. 2010. Allelic selection of amplicons in glioblastoma revealed by combining somatic and germline analysis. PLoS Genetics 6(9).
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Abstract: Cancer is a disease driven by a combination of inherited risk alleles coupled with the acquisition of somatic mutations, including amplification and deletion of genomic DNA. Potential relationships between the inherited and somatic aspects of the disease have only rarely been examined on a genome-wide level. Applying a novel integrative analysis of SNP and copy number measurements, we queried the tumor and normal-tissue genomes of 178 glioblastoma patients from the Cancer Genome Atlas project for preferentially amplified alleles, under the hypothesis that oncogenic germline variants will be selectively amplified in the tumor environment. Selected alleles are revealed by allelic imbalance in amplification across samples. This general approach is based on genetic principles and provides a method for identifying important tumor-related alleles. We find that SNP alleles that are most significantly overrepresented in amplicons tend to occur in genes involved with regulation of kinase and transferase activity, and many of these genes are known contributors to gliomagenesis. The analysis also implicates variants in synapse genes. By incorporating gene expression data, we demonstrate synergy between preferential allelic amplification and expression in DOCK4 and EGFR. Our results support the notion that combining germline and tumor genetic data can identify regions relevant to cancer biology.
Published Version: doi://10.1371/journal.pgen.1001086
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2932683/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:4853343
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