RT Journal
A1 Attiyeh, Edward F.
A1 Diskin, Sharon J.
A1 Attiyeh, Marc A.
A1 Mossé, Yaël P.
A1 Hou, Cuiping
A1 Jackson, Eric M.
A1 Kim, Cecilia
A1 Glessner, Joseph
A1 Hakonarson, Hakon
A1 Biegel, Jaclyn A.
A1 Maris, John M.
T1 Genomic copy number determination in cancer cells from single nucleotide polymorphism microarrays based on quantitative genotyping corrected for aneuploidy
JF Genome Research 
JO Genome Research 
YR 2009 
FD February 01 
VO 19 
IS 2 
SP 276 
OP 283 
DO 10.1101/gr.075671.107 
UL http://genome.cshlp.org/content/19/2/276.abstract 
AB Microarrays are frequently used to profile genome-wide copy number (CN) aberrations. While generally robust for detecting CN variants in germline DNA, the methods used to derive CN from signal intensity values have been suboptimal when applied to cancer genomes. The complexity of genomic aberrations in cancer makes it more difficult to discriminate between signal and noise, and measuring CN as a discrete variable does not account for tumor heterogeneity. Furthermore, standard normalization approaches detect CN changes relative to the overall DNA content, which is often not diploid in cancer. We propose an algorithm that uses the degree of allelic imbalance as well as probe intensity, with a correction for aneuploidy, for a quantitative CN assessment and scoring of allelic ratios. This algorithm results in a more precise definition of CN and allelic aberration in the cancer genome, which is essential for translational efforts focused on using these tools for molecular diagnostics and for the discovery of therapeutic targets.