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   Allelic selection of amplicons in glioblastoma revealed by combining somatic and germline analysis  
   
نویسنده laframboise t. ,dewal n. ,wilkins k. ,pe'er i. ,freedman m.l.
منبع plos genetics - 2010 - دوره : 6 - شماره : 9
چکیده    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 tumorrelated 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. © 2010 laframboise et al.
آدرس department of genetics,case western reserve university school of medicine,cleveland,oh,united states,genomic medicine institute,lerner research institute,cleveland clinic foundation,cleveland,oh, United States, department of biomedical informatics,columbia university,new york,ny, United States, department of genetics,case western reserve university school of medicine,cleveland,oh, United States, department of computer science,columbia university,new york,ny, United States, department of medical oncology,dana-farber cancer institute,boston,ma,united states,medical and population genetics program,the broad institute of harvard and massachusetts institute of technology,cambridge,ma, United States
 
     
   
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