A novel SNP analysis method to detect copy number alterations with an unbiased reference signal directly from tumor samples.

ABSTRACT:

Background

Genomic instability in cancer leads to abnormal genome copy number alterations (CNA) as a mechanism underlying tumorigenesis. Using microarrays and other technologies, tumor CNA are detected by comparing tumor sample CN to normal reference sample CN. While advances in microarray technology have improved detection of copy number alterations, the increase in the number of measured signals, noise from array probes, variations in signal-to-noise ratio across batches and disparity across laboratories leads to significant limitations for the accurate identification of CNA regions when comparing tumor and normal samples.

Methods

To address these limitations, we designed a novel "Virtual Normal" algorithm (VN), which allowed for construction of an unbiased reference signa

SUBMITTER: Lisovich A 

PROVIDER: S-EPMC3041647 | biostudies-literature | 2011 Jan

REPOSITORIES: biostudies-literature