A Bayesian hierarchical model to estimate DNA methylation conservation in colorectal tumors.

ABSTRACT:

Motivation

Conservation is broadly used to identify biologically important (epi)genomic regions. In the case of tumor growth, preferential conservation of DNA methylation can be used to identify areas of particular functional importance to the tumor. However, reliable assessment of methylation conservation based on multiple tissue samples per patient requires the decomposition of methylation variation at multiple levels.

Results

We developed a Bayesian hierarchical model that allows for variance decomposition of methylation on three levels: between-patient normal tissue variation, between-patient tumor-effect variation and within-patient tumor variation. We then defined a model-based conservation score to identify loci of reduced within-tumor methylation variation relative t

SUBMITTER: Murgas KA 

PROVIDER: S-EPMC10060692 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature