Genomic copy number determination in cancer cells from single nucleotide polymorphism microarrays based on quantitative genotyping corrected for aneuploidy

Edward F. Attiyeh, Sharon J. Diskin, Marc A. Attiyeh, Yaël P. Mossé, Cuiping Hou, Eric M. Jackson, Cecilia Kim, Joseph Glessner, Hakon Hakonarson, Jaclyn A. Biegel, John M. Maris

Research output: Contribution to journalArticlepeer-review

54 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)276-283
Number of pages8
JournalGenome research
Volume19
Issue number2
DOIs
StatePublished - Feb 2009
Externally publishedYes

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

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