Abstract Details
Activity Number:
|
440
|
Type:
|
Topic Contributed
|
Date/Time:
|
Wednesday, August 6, 2014 : 8:30 AM to 10:20 AM
|
Sponsor:
|
ENAR
|
Abstract #311689
|
View Presentation
|
Title:
|
Robust Statistics for Rare Genetic Variant Association Studies
|
Author(s):
|
Paul Auer*+
|
Companies:
|
University of Wisconsin-Milwaukee
|
Keywords:
|
next-generation sequencing ;
rare variants ;
human genetics
|
Abstract:
|
Next generation sequencing technologies are being used in a variety of ways to generate data for genetic association studies. In particular, by deep sequencing of a large number of samples, rare genetic polymorphisms can be effectively identified, genotyped, and analyzed for associations with a phenotype of interest. Although a great deal of effort has been exerted in investigating best-practices for quality control (QC) of rare genetic variants, there has not been a commensurate focus on phenotype QC. For a variety of reasons, rare-variant association tests tend to be less robust to poorly behaved phenotypes than tests used for the analysis of common-variants. Several different approaches for constructing robust association analyses will be compared through simulations and applications on rare variant data.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2014 program
|
2014 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Professional Development program, please 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.
Copyright © American Statistical Association.