A statistical approach for detecting genomicaberrations in heterogeneous tumor samplesfrom single nucleotide polymorphism genotyping data

摘要

We describe a statistical method for the characterization of genomic aberrations in single nucleotide polymorphismmicroarray 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. Wedemonstrate the efficacy of our method on numerous datasets including laboratory generated mixtures of normalcancercell lines and real primary tumours.