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Activity Number:
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242
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Type:
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Contributed
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Date/Time:
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Tuesday, August 5, 2008 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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| Abstract - #302000 |
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Title:
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A Genetical Genomics Approach to Genome Scans for Complex Traits
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Author(s):
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Guoying Sun*+ and Paul Schliekelman
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Companies:
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The University of Georgia and The University of Georgia
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Address:
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, Athens, GA, 30602,
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Keywords:
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eQTL ; EM Algorithm ; causative loci
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Abstract:
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We have developed a EM-algorithm based method for testing whether the controlling factor for a group of highly correlated genes is also a causative locus for a disease or other clinical trait. We use this as part of a new strategy for genome scans for complex traits. We first screen the data to identify the set of expression levels which are the most promising targets for association with the trait. We next use hierarchical clustering to identify groups of highly correlated transcripts. We apply our EM algorithm method to each gene group to test whether any controlling loci are also causative for the clinical trait. Expression QTLs for such gene groups become candidate loci for the clinical trait. Using both simulated and real data, we show this strategy to have excellent power relative to existing methods.
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- Authors who are presenting talks have a * after their name.
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