Abstract Details
Activity Number:
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107
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Type:
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Invited
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Date/Time:
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Monday, August 10, 2015 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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Abstract #314284
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Title:
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Integrative Analysis of Gene-Environment Interactions
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Author(s):
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Yuehua Cui*
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Companies:
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Michigan State University
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Keywords:
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gene-environment interaction ;
association study ;
multi-index coefficient model ;
semi-parametric model
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Abstract:
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Identifying gene-environment (G×E) interaction has been one of the central foci in genetic association studies, given its importance in determining the variation of many complex diseases such as Parkinson's disease and type II diabetes. However, the underlying machinery of G×E is still poorly understood due to the lack of powerful statistical methods. Motivated by epidemiological evidence in which the effect of simultaneous exposure to multiple environmental conditions on disease risk could be larger than the simple addition of individual effect acting alone, we propose a multi-index varying coefficient model to assess the integrative effect of the environmental mixture and further quantify the mechanism by which the mixture moderates genetic influences on disease risk. The model allows us to assess the interaction effect of multiple environmental exposures as a whole. Its performance is evaluated through simulation studies and is further demonstrated with a case study.
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Authors who are presenting talks have a * after their name.
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