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Activity Number: 254 - Contributed Poster Presentations: Section on Bayesian Statistical Science
Type: Contributed
Date/Time: Monday, July 29, 2019 : 2:00 PM to 3:50 PM
Sponsor: Section on Bayesian Statistical Science
Abstract #306650
Title: A Bayesian Method to Identifying CpG Sites Exhibiting Transgenerational Effects on DNA Methylation and Their Heterogeneity via Nested Clustering in Beta Regression
Author(s): JIAJING WANG* and Hongmei Zhang and John Holloway and S. Hasan Arshad and Wilfried JJ Karmaus
Companies: University of memphis and University of Memphis and University of Southampton and University of Southampton and University of Memphis
Keywords: Bayesian; Clustering; Heterogeneity; Beta regression; Transgenerational transmission

Transgenerational transmission of epigenetic marks such as DNA methylation (DNAm) is one possible mechanism explaining observed phenotypic patterns. Little is known at the population level regarding the strength of DNAm transmission. Via beta regressions, we propose a nested Bayesian clustering methods to identify DNA methylation (DNAm) sites (CpG sites) such that DNAm is transmitted from one generation to the next, and to study heterogeneity (via clustering) among CpG sites with DNAm transmitted. Simulations are used to demonstrate and evaluate the applicability of the method. We further apply the method to more than 10K CpGs to infer their transmission status, and among the CpGs transmitted to identify clusters of CpGs showing similar transmission strength within each cluster from parents to offspring.

Authors who are presenting talks have a * after their name.

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