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Abstract Details
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Activity Number:
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389
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Type:
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Invited
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Date/Time:
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Tuesday, August 2, 2011 : 2:00 PM to 3:50 PM
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Sponsor:
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IMS
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| Abstract - #300171 |
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Title:
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Association Mapping of Complex Traits in Dependent Samples
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Author(s):
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Mary Sara McPeek*+
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Companies:
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The University of Chicago
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Address:
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Department of Statistics, Department of Human Genetics, , ,
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Keywords:
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complex trait ;
population structure
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Abstract:
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One fundamental problem of interest is to identify genetic variants that contribute to observed variation in human complex traits. Large-scale genetic studies can have several sources of dependence, including longitudinally-measured traits, population structure, relatedness among the sampled individuals and co-inheritance of nearby sites. The different types of dependence vary in the extent of information that is available on them, and this informs our approach to inference. Other characteristics of the data include missing information, and the need to analyze very large numbers of sites in a single study, which puts a premium on computational speed of the methods. We describe statistical methods for association mapping of human complex traits, in which we model and account for various types of dependence.
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Authors who are presenting talks have a * after their name.
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