Quantification of tumour evolution and heterogeneity via Bayesian epiallele detection.

ABSTRACT:

Background

Epigenetic heterogeneity within a tumour can play an important role in tumour evolution and the emergence of resistance to treatment. It is increasingly recognised that the study of DNA methylation (DNAm) patterns along the genome - so-called 'epialleles' - offers greater insight into epigenetic dynamics than conventional analyses which examine DNAm marks individually.

Results

We have developed a Bayesian model to infer which epialleles are present in multiple regions of the same tumour. We apply our method to reduced representation bisulfite sequencing (RRBS) data from multiple regions of one lung cancer tumour and a matched normal sample. The model borrows information from all tumour regions to leverage greater statistical power. The total number of epialleles,

SUBMITTER: Barrett JE 

PROVIDER: S-EPMC5526259 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature