JSM 2012 Home

JSM 2012 Online Program

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

Online Program Home

Abstract Details

Activity Number: 253
Type: Contributed
Date/Time: Monday, July 30, 2012 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #306674
Title: Statistical Methods for DNA Methylation Next-Generation Sequencing Data
Author(s): Gayla Olbricht*+
Companies: Missouri University of Science and Technology
Address: 307 Traci Dawn, Rolla, MO, 65401, United States
Keywords: DNA Methylation ; Epigenetics ; Next-Generation Sequencing

DNA methylation is an epigenetic modification that plays an important role in many biological processes and has been linked to many diseases, including cancer. DNA methylation has the ability to alter gene expression without any change in the DNA sequence via the addition of a methyl chemical group to cytosine bases on the DNA sequence. Historically, it has been difficult to study DNA methylation at a genome-wide level since it can occur anywhere in the genome, and because technology limited investigations to smaller genomic regions. However, with current next-generation sequencing methods such as BS-Seq or MethylC-Seq, it is now possible to identify DNA methylation sites across the entire genome (i.e., the methylome). Many statistical challenges accompany studies of the methylome, which typically aim to identify locations of methylated cytosines as well as detect differences in methylation status between sample types (e.g., disease vs. control). In this work, current methods for investigating DNA methylation on a genome-wide level using next-generation sequencing technology are reviewed and statistical methods to address some of the data analysis challenges are proposed.

The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2012 program

2012 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.