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Abstract Details
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Activity Number:
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233
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Type:
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Contributed
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Date/Time:
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Monday, August 1, 2011 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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| Abstract - #303417 |
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Title:
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Rare or Common? The Clue Is in Cluster
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Author(s):
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Kaustubh Adhikari*+ and Christoph Lange
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Companies:
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Harvard University and Harvard University
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Address:
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56 Calumet St., Boston, MA, 02120,
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Keywords:
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Complex Diseases ;
Rare Variants ;
Clustering ;
Coalescent Trees ;
Bayesian Modeling
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Abstract:
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Modern genetic studies involve complex diseases with multiple underlying variants. And it is of interest to know if there are a few common variants or many rare variants. This paper presents a new, clustering-based method where, based on SNP data on cases and controls, we construct random clusters of the subjects - we utilize a novel discovery-based cluster ensemble method by Grimmer and King to sample through the cluster space. The clustering probabilities assist us to construct coalescent genealogical trees for all the subjects, which are then aggregated in a Bayesian framework to provide a posterior distribution on the variants. We apply this method on a cleft lip dataset to show that the posterior distribution indicates that the candidate gene is enriched in rare variants.
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