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Activity Number:
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399
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Type:
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Invited
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Date/Time:
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Wednesday, August 5, 2009 : 8:30 AM to 10:20 AM
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Sponsor:
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General Methodology
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| Abstract - #302959 |
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Title:
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Bayesian Models for Complex Genetic Traits
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Author(s):
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Paola Sebastiani*+
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Companies:
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Boston University
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Address:
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801 Massachusetts Avenue, Boston, MA, 02118,
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Keywords:
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genetics ; complex system ; bayesian models
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Abstract:
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The technology of SNP arrays has moved the field of genetics from candidate gene studies to genome-wide association studies, and the last three years have produced hundreds of manuscripts with results of genome wide association studies for a variety of heritable traits. However, the bulk of data produced by these studies remains largely unexplored, because of the challenge of mining and modeling massive data sets. Genetic data can be used for risk prediction modeling, and integration of genetic data with other gene products can speed up the discovery of disease mechanism and identify targets for further studies. This powerful use of genetic data is however challenging traditional statistical methods. We will discuss some of the modeling issues and show the advantages offered by simple graphical models.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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