2010
DOI: 10.1186/gb-2010-11-9-r92
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A statistical approach for detecting genomic aberrations in heterogeneous tumor samples from single nucleotide polymorphism genotyping data

Abstract: We describe a statistical method for the characterization of genomic aberrations in single nucleotide polymorphism microarray data acquired from cancer genomes. Our approach allows us to model the joint effect of polyploidy, normal DNA contamination and intra-tumour heterogeneity within a single unified Bayesian framework. We demonstrate the efficacy of our method on numerous datasets including laboratory generated mixtures of normal-cancer cell lines and real primary tumours.

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Cited by 126 publications
(125 citation statements)
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“…Two “state of the art” methods for paired SNP array analysis: ASCAT [25] and OncoSNP [26], were also examined for comparison. Similar with GIANT, both methods are featured with automatic calibration for normal cell contamination and tumor aneuploidy.…”
Section: Resultsmentioning
confidence: 99%
“…Two “state of the art” methods for paired SNP array analysis: ASCAT [25] and OncoSNP [26], were also examined for comparison. Similar with GIANT, both methods are featured with automatic calibration for normal cell contamination and tumor aneuploidy.…”
Section: Resultsmentioning
confidence: 99%
“…88 For quality control, the subset of samples genotyped on HumanOmni 2.5–8v1 BeadChips (as part of whole genome sequencing) were also analyzed for CNVs by using tQN 89 for normalization, followed by OncoSNP v1.2 for characterization of CNVs and loss-of-heterozygosity (LOH) events. 90 Copy number clustering was performed on segmented copy number data. A unified breakpoint profile (region by sample matrix) was derived by combining breakpoints across all samples and determining the minimal common regions of change.…”
Section: Methodsmentioning
confidence: 99%
“…LOH and copy-number states were determined using OncoSNP software (Isis Innovations, Oxford, UK) (Supplementary Figure 1). 32 …”
Section: Methodsmentioning
confidence: 99%