JSM 2011 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.

Abstract Details

Activity Number: 359
Type: Contributed
Date/Time: Tuesday, August 2, 2011 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract - #301890
Title: Reconstructing DNA Copy Number by Joint Segmentation of Multiple Sequences
Author(s): Zhongyang Zhang*+ and Kenneth Lange and Chiara Sabatti
Companies: University of California at Los Angeles and University of California at Los Angeles and Stanford University
Address: 76 Barnes Ct Apt 116, Stanford, CA, 94305,
Keywords: copy number variant ; group fused lasso ; MM algorithm ; joint segmentation
Abstract:

DNA copy number variants (CNV) are gains and losses of DNA segments as compared to normal counterparts. Recent results have revealed that CNV comprises a ubiquitous and important class of structure variants among the full spectrum of genetic variants, and underscored its role in explaining complex disease and other phenotypic traits. A number of high-throughput technologies provide signal that can be used to reconstruct DNA copy number and numerous methods for their analysis have been developed. We tackle the problem of joint analysis of multiple signals, which are expected to accumulate evidence on consensus copy number states. This important development is motivated by a variety of practical situations. We proposed a join segmentation approach based on group fused-lasso. A majorization-minimization strategy is employed to attack this non-trivial optimization problem, complicated further by the heterogeneity of data structure. The computation cost is linear in the number of probes times the number of samples. We illustrate the results with simulation and the analysis of pedigrees collected to study the genetic underpinning of bipolar disorder.


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 2011 program




2011 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.