Gene-methylation interactions: discovering region-wise DNA methylation levels that modify SNP-associated disease risk.

ABSTRACT:

Background

Current technology allows rapid assessment of DNA sequences and methylation levels at a single-site resolution for hundreds of thousands of sites in the human genome, in thousands of individuals simultaneously. This has led to an increase in epigenome-wide association studies (EWAS) of complex traits, particularly those that are poorly explained by previous genome-wide association studies (GWAS). However, the genome and epigenome are intertwined, e.g., DNA methylation is known to affect gene expression through, for example, genomic imprinting. There is thus a need to go beyond single-omics data analyses and develop interaction models that allow a meaningful combination of information from EWAS and GWAS.

Results

We present two new methods for genetic association an

SUBMITTER: Romanowska J 

PROVIDER: S-EPMC7367265 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature