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Abstract Details
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Activity Number:
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131
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2012 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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| Abstract - #305362 |
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Title:
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A Distance-Weighted Neighboring Sites Model for Methylation Pattern Inheritance
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Author(s):
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Karlene Meyer*+ and Michelle Lacey
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Companies:
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Tulane University and Tulane University
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Address:
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2926 Dumaine St., New Orleans, LA, 70119, United States
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Keywords:
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epigenetics ;
Markov model ;
methylation ;
neighboring sites ;
dependent sites
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Abstract:
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Atypical patterns of cytosine methylation at CpG dinucleotides have been observed in many cancers and developmental diseases. The mechanisms that govern methylation are not fully understood and remain the subject of ongoing biological research. For example, when methylation is lost it remains unclear whether this is the result of active demethylation or simply the failure of the maintenance methyltransferase. To investigate this issue, it is possible to develop and evaluate stochastic models of methylation behavior to either support or contraindicate various hypotheses about the underlying biology. Examination of sample data suggests strong site-to-site dependence, and we have previously developed a Markov model to emulate this phenomenon. We now present an extension of this model which allows for asymmetric pressure toward methylation and demethylation and also incorporates information about the distances between CpG sites.
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