DiNAMIC: A method to identify recurrent DNA copy number aberrations in tumors

Vonn Walter, Andrew B. Nobel, Fred A. Wright

Research output: Contribution to journalArticle

25 Scopus citations

Abstract

Motivation: DNA copy number gains and losses are commonly found in tumor tissue, and some of these aberrations play a role in tumor genesis and development. Although high resolution DNA copy number data can be obtained using array-based techniques, no single method is widely used to distinguish between recurrent and sporadic copy number aberrations. Results: Here we introduce Discovering Copy Number Aberrations Manifested In Cancer (DiNAMIC), a novel method for assessing the statistical significance of recurrent copy number aberrations. In contrast to competing procedures, the testing procedure underlying DiNAMIC is carefully motivated, and employs a novel cyclic permutation scheme. Extensive simulation studies show that DiNAMIC controls false positive discoveries in a variety of realistic scenarios. We use DiNAMIC to analyze two publicly available tumor datasets, and our results show that DiNAMIC detects multiple loci that have biological relevance.

Original languageEnglish (US)
Article numberbtq717
Pages (from-to)678-685
Number of pages8
JournalBioinformatics
Volume27
Issue number5
DOIs
StatePublished - Mar 1 2011

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

Fingerprint Dive into the research topics of 'DiNAMIC: A method to identify recurrent DNA copy number aberrations in tumors'. Together they form a unique fingerprint.

  • Cite this