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: 559
Type: Topic Contributed
Date/Time: Wednesday, August 1, 2012 : 2:00 PM to 3:50 PM
Sponsor: IMS
Abstract - #305917
Title: Bayesian Models for Rare Genetic Variants
Author(s): Chiara Sabatti*+
Companies: Stanford University
Address: 259 Campus Drive, Palo Alto, CA, 94305, United States

Recent genetic studies, based on resequencing technology, survey the entire spectrum of DNA variation in the enrolled subjects, resulting in a very large number of variable sites, where alleles different from the reference sequence are observed in a very small number of subjects. From a statistical viewpoint, we have a modest number of observations on a very large number of variables, most of which are very sparse in the sense that their observed realizations in the dataset are mostly equal to 0. I will describe some Bayesian models that can be particularly fruitful in analyzing these data, as well as the computational challenges that they pose.

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.