A novel computational strategy for DNA methylation imputation using mixture regression model (MRM).

ABSTRACT:

Background

DNA methylation is an important heritable epigenetic mark that plays a crucial role in transcriptional regulation and the pathogenesis of various human disorders. The commonly used DNA methylation measurement approaches, e.g., Illumina Infinium HumanMethylation-27 and -450 BeadChip arrays (27 K and 450 K arrays) and reduced representation bisulfite sequencing (RRBS), only cover a small proportion of the total CpG sites in the human genome, which considerably limited the scope of the DNA methylation analysis in those studies.

Results

We proposed a new computational strategy to impute the methylation value at the unmeasured CpG sites using the mixture of regression model (MRM) of radial basis functions, integrating information of neighboring CpGs and the similaritie

SUBMITTER: Yu F 

PROVIDER: S-EPMC7708217 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature