Inferring and modeling inheritance of differentially methylated changes across multiple generations.

ABSTRACT: High-throughput methylation sequencing enables genome-wide detection of differentially methylated sites (DMS) or regions (DMR). Increasing evidence suggests that treatment-induced DMS can be transmitted across generations, but the analysis of induced methylation changes across multiple generations is complicated by the lack of sound statistical methods to evaluate significance levels. Due to software design, DMS detection was usually made on each generation separately, thus disregarding stochastic effects expected when a large number of DMS is detected in each generation. Here, we present a novel method based on Monte Carlo sampling, methylInheritance, to evaluate that the number of conserved DMS between several generations is associated to an effect inherited from a treatment and not rand

SUBMITTER: Belleau P 

PROVIDER: S-EPMC6101575 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature