Allelic selection of amplicons in glioblastoma revealed by combining somatic and germline analysis.

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-wi...

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Main Authors: Thomas LaFramboise, Ninad Dewal, Katherine Wilkins, Itsik Pe'er, Matthew L Freedman
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2010-09-01
Series:PLoS Genetics
Online Access:https://journals.plos.org/plosgenetics/article/file?id=10.1371/journal.pgen.1001086&type=printable
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author Thomas LaFramboise
Ninad Dewal
Katherine Wilkins
Itsik Pe'er
Matthew L Freedman
author_facet Thomas LaFramboise
Ninad Dewal
Katherine Wilkins
Itsik Pe'er
Matthew L Freedman
author_sort Thomas LaFramboise
collection DOAJ
description 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.
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spelling doaj-art-bf38be6a500740a1ae58f226b7925ebd2025-08-20T02:01:54ZengPublic Library of Science (PLoS)PLoS Genetics1553-73901553-74042010-09-0169e100108610.1371/journal.pgen.1001086Allelic selection of amplicons in glioblastoma revealed by combining somatic and germline analysis.Thomas LaFramboiseNinad DewalKatherine WilkinsItsik Pe'erMatthew L FreedmanCancer 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.https://journals.plos.org/plosgenetics/article/file?id=10.1371/journal.pgen.1001086&type=printable
spellingShingle Thomas LaFramboise
Ninad Dewal
Katherine Wilkins
Itsik Pe'er
Matthew L Freedman
Allelic selection of amplicons in glioblastoma revealed by combining somatic and germline analysis.
PLoS Genetics
title Allelic selection of amplicons in glioblastoma revealed by combining somatic and germline analysis.
title_full Allelic selection of amplicons in glioblastoma revealed by combining somatic and germline analysis.
title_fullStr Allelic selection of amplicons in glioblastoma revealed by combining somatic and germline analysis.
title_full_unstemmed Allelic selection of amplicons in glioblastoma revealed by combining somatic and germline analysis.
title_short Allelic selection of amplicons in glioblastoma revealed by combining somatic and germline analysis.
title_sort allelic selection of amplicons in glioblastoma revealed by combining somatic and germline analysis
url https://journals.plos.org/plosgenetics/article/file?id=10.1371/journal.pgen.1001086&type=printable
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