By Topic

A method for finding novel associations between genome-wide copy number and dna methylation patterns

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
Tang, M.E. ; Cold Spring Harbor Lab., TX, USA ; Varadan, V. ; Kamalakaran, S. ; Zhang, M.Q.
more authors

We present a computational method that combines genome-wide DNA methylation and copy number variation data in an integrated fashion with the aim of finding mechanistic associations between genome instability and local DNA methylation changes. The method is applied to Luminal A breast cancer early-stage tumour samples and focuses on methylation events occurring at frequently rearranged genome locations. Our method accommodates array and sequencing platforms for methylation and DNA copy number estimates. We find significant local methylation changes in tumours tend to occur in the viscinity of breakpoint rich regions, with 80% of the differentially methylated regions occurring within 2Mb from a breakpoint rich locus.

Published in:

Genomic Signal Processing and Statistics (GENSIPS), 2011 IEEE International Workshop on

Date of Conference:

4-6 Dec. 2011