Abstract
SNP arrays offer the opportunity to get a genome-wide view on copy number alterations and are increasingly used in oncology. DNA from formalin-fixed paraffin-embedded material (FFPE) is partially degraded which limits the application of those technologies for retrospective studies. We present the use of Affymetrix GeneChip SNP6.0 for identification of copy number alterations in fresh frozen (FF) and matched FFPE samples. Fifteen pairs of adenocarcinomas with both frozen and FFPE embedded material were analyzed. We present an optimization of the sample preparation and show the importance of correcting the measured intensities for fragment length and GC-content when using FFPE samples. The absence of GC content correction results in a chromosome specific wave pattern which may lead to the misclassification of genomic regions as being altered. The highest concordance between FFPE and matched FF were found in samples with the highest call rates. Nineteen of the 23 high level amplifications (83%) seen using FF samples were also detected in the corresponding FFPE material. For limiting the rate of false positive alterations, we have chosen a conservative False Discovery Rate (FDR). We observed better results using SNP probes than CNV probes for copy number analysis of FFPE material. This is the first report on the detection of copy number alterations in FFPE samples using Affymetrix GeneChip SNP6.0. © 2008 Wiley-Liss, Inc.
| Original language | English |
|---|---|
| Pages (from-to) | 957-964 |
| Number of pages | 8 |
| Journal | Genes, Chromosomes and Cancer |
| Volume | 47 |
| Issue number | 11 |
| DOIs | |
| Publication status | Published - Jul 2008 |
Fields of science
- 101004 Biomathematics
- 101027 Dynamical systems
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- 101029 Mathematical statistics
- 101014 Numerical mathematics
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- 101016 Optimisation
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- 102 Computer Sciences
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- 103029 Statistical physics
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- 305901 Computer-aided diagnosis and therapy
- 305905 Medical informatics
- 305907 Medical statistics
- 102032 Computational intelligence
- 102033 Data mining
- 101031 Approximation theory
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