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Abstract Details
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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 - #300549 |
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Title:
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Association Studies with Next-Generation Technologies
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Author(s):
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Dan Nicolae*+
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Companies:
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The University of Chicago
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Address:
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, , ,
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Keywords:
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next-generation sequencing ;
genetic association ;
rare variants
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Abstract:
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We discuss here statistical models and methods for addressing some of the challenges that arise with the new data types, including those from second-generation sequencing. We will present a framework for the analysis of sequence data where we harness population genetics theory to provide prior information on effect sizes that allows a general and powerful test for association. The motivation for the proposed model is that underlying a belief in selectively rare causal SNPs is a correlation between the effect of a SNP on phenotype and its effect on the reproductive fitness of carriers. We contrast our approach with others where assumptions about the underlying genetic model are implicit.
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