A statistical approach for detecting genomic aberrations in heterogeneous tumor samples from single nucleotide polymorphism genotyping data

Yau, Christopher; Mouradov, Dmitri; N. Jorissen, Robert; Colella, Stefano; Mirza, Ghazala; Steers, Graham; L. Harris, Adrian; Ragoussis, Jiannis; M. Sieber, Oliver; Holmes, Chris

doi:10.1186/gb-2010-11-9-r92

Public

A statistical approach for detecting genomic aberrations in heterogeneous tumor samples from single nucleotide polymorphism genotyping data

Published in Genome biology • Sep 21, 2010

Authors:

Christopher Yau

Dmitri Mouradov

Robert N. Jorissen

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 uni...

Subject

Biology

Genotyping

Genetics

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