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Abstract Details
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Activity Number:
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142
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Type:
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Invited
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Date/Time:
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Monday, August 1, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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ENAR
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| Abstract - #300387 |
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Title:
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Interaction Models for Longitudinal Studies with Large-Scale Genetic Data
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Author(s):
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Bhramar Mukherjee*+
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Companies:
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University of Michigan
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Address:
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1420 Washington Hgts, Ann Arbor, MI, 48109,
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Keywords:
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Singular Value Decomposition ;
Factor Analysis ;
Residual Interaction ;
Additive Models
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Abstract:
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There has been a large volume of literature on modeling gene-gene and gene-environment interaction in case-control studies of gene-disease association. Many longitudinal cohort studies with repeated measures on quantitative traits have collected genetic and epigenetic data in more recent years. Limited literature is available specifically on modeling interactions in such cohort studies. In this talk I will discuss sparse modeling of interaction effects in longitudinal studies by a factor analytic representation of the interaction matrix after fitting other additive terms of the model. The idea is derived from classical psychology and design of experiments literature appearing in the 1970-1980's. We will then extend this idea to accommodate flexible time varying interaction terms in generalized additive mixed models. The methods will be illustrated by using data from the Normative Aging Study, a longitudinal cohort study of Boston area veterans.
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Authors who are presenting talks have a * after their name.
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