Abstract Details
Activity Number:
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571
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Type:
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Invited
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Date/Time:
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Wednesday, August 7, 2013 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics in Epidemiology
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Abstract - #307243 |
Title:
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On Some Statistical Issues in Analyzing Whole-Genome Sequencing Data
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Author(s):
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Dan Liviu Nicolae*+
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Companies:
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The University of Chicago
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Keywords:
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sequencing ;
whole genome ;
genetic association
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Abstract:
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There are many challenges in the transition from genome-wide association studies to whole exome and to whole genome sequencing investigations. We have moved from single-marker tests on common SNPs to set-based inference on all variants in a functional element, and this has led to the development of many statistical tools. I will describe some of the issues we have encountered in analyzing whole-genome data, including: (i) the annotation of variants to sets; (ii) the implicit and explicit assumptions on underlying genetic models of risk for a given set; (iii) the interpretation of results; and (iv) interactions with environment and ancestry.
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Authors who are presenting talks have a * after their name.
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