A statistical method for detecting genomic aberrations in heterogeneous tumour samples from single nucleotide polymorphism genotyping data
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Christopher Yau
PROVIDER: E-GEOD-23785 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Publications
A statistical approach for detecting genomic aberrations in heterogeneous tumor samples from single nucleotide polymorphism genotyping data.
Yau Christopher C Mouradov Dmitri D Jorissen Robert N RN Colella Stefano S Mirza Ghazala G Steers Graham G Harris Adrian A Ragoussis Jiannis J Sieber Oliver O Holmes Christopher C CC
Genome biology 20100921 9
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. ...[more]
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