| Literature DB >> 26163103 |
Marijana Vujkovic1, Edward F Attiyeh2, Rhonda E Ries3, Michelle Horn2, Elizabeth K Goodman2, Yang Ding2, Marko Kavcic4, Todd A Alonzo5, Robert B Gerbing6, Betsy Hirsch7, Susana Raimondi2, Alan S Gamis8, Soheil Meshinchi3, Richard Aplenc2.
Abstract
Copy number alterations (CNAs) are a hallmark of pediatric cancer genomes. An increasing number of research groups use multiple platforms and software packages to detect and analyze CNAs. However, different platforms have experimental and analysis-specific biases that may yield different results. We sought to estimate the concordance of CNAs in children with de novo acute myeloid leukemia between two experimental platforms: Affymetrix SNP 6.0 array and Illumina OmniQuad 2.5 BeadChip. Forty-five paired tumor-remission samples were genotyped on both platforms, and CNAs were estimated from total signal intensity and allelic contrast values using the allele-specific copy number analysis of tumors (ASCAT) algorithm. The two platforms were comparable in detection of CNAs, each missing only two segments from a total of 42 CNAs (4.6%). Overall, there was an interplatform agreement of 96% for allele-specific tumor profiles. However, poor quality samples with low signal/noise ratios showed a high rate of false-positive segments independent of the genotyping platform. These results demonstrate that a common analytic pipeline can be utilized for SNP array data from these two platforms. The customized programming template for the preprocessing, data integration, and analysis is publicly available at https://github.com/AplenCHOP/affyLumCNA. Published by Elsevier Inc.Entities:
Keywords: Pediatrics; SNP array; acute myeloid leukemia; copy number alterations
Mesh:
Year: 2015 PMID: 26163103 PMCID: PMC4523450 DOI: 10.1016/j.cancergen.2015.04.010
Source DB: PubMed Journal: Cancer Genet