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Abstract Details
Activity Number:
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59
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Type:
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Topic Contributed
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Date/Time:
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Sunday, July 31, 2011 : 4:00 PM to 5:50 PM
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Sponsor:
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Section on Statistical Computing
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Abstract - #300552 |
Title:
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Statistical Challenges with Genetic Next-Generation Sequence Data
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Author(s):
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Paul W. Livermore Auer*+
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Companies:
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Fred Hutchinson Cancer Research Center
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Address:
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, , ,
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Keywords:
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rare variants ;
single nucleotide polymorphisms ;
next generation sequencing
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Abstract:
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Next generation sequencing technologies are being used in a variety of ways to generate data for genetic association studies. In this talk I will focus on one particular application, namely exome-sequencing. Population based exome-sequencing studies typically focus on finding rare genetic variants associated with a complex trait of interest. To enhance power, these studies often employ an outcome dependent sampling (ODS) mechanism. Although there are many recently proposed statistical methods for testing rare-variant associations with complex traits, no current approach explicitly accounts for the ODS mechanism. I will discuss the intuition behind some of the more popular rare-variant tests along with ways to incorporate ODS. Several different approaches will be compared through simulations and applications on real sequencing data.
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Authors who are presenting talks have a * after their name.
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