JSM 2015 Preliminary Program

Online Program Home
My Program

Abstract Details

Activity Number: 695
Type: Contributed
Date/Time: Thursday, August 13, 2015 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract #315790 View Presentation
Title: Penalized Exponential Tilt Model for Analysis of High-Dimensional DNA Methylation Data
Author(s): Hokeun Sun* and Yong Chen and Shuang Wang
Companies: Pusan National University and The University of Texas School of Public Health and Columbia University Mailman School of Public Health
Keywords: exponential tilt ; DNA methylation ; penalized logistic ; High-dimensional data ; ovarian cancer
Abstract:

In epigenetic studies of human diseases, it has been common to compare DNA methylation levels between cancer tissues and normal tissues to identify cancer-related genetic sites. For case-control association studies with high-dimensional DNA methylation data, a network-based penalized logistic regression has been proposed in our earlier article. Network regularization is very efficient for analysis of highly correlated methylation data. However, recent studies found that the methylation levels of the cancer and normal tissues could differ not only in means but also in variances. Penalized logistic regression has a limitation to detect any differences in variances. In this article, we introduce a penalized exponential tilt model using network-based regularization and demonstrate that it can identify differentially methylated loci between cancer and normal tissues when their methylation levels are different in means only, variances only or in both means and variances. We also applied the proposed method to a real methylation data from an ovarian cancer study where methylation levels over 20,000 CpG sites generated from Illumina Infinium HumanMethylation27K Beadchip.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2015 program





For program information, contact the JSM Registration Department or phone (888) 231-3473.

For Professional Development information, contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

2015 JSM Online Program Home