Novel DNA methylation marker discovery by assumption-free genome-wide association analysis of cognitive function in twins.

ABSTRACT: Privileged by rapid increase in available epigenomic data, epigenome-wide association studies (EWAS) are to make a profound contribution to understand the molecular mechanism of DNA methylation in cognitive aging. Current statistical methods used in EWAS are dominated by models based on multiple assumptions, for example, linear relationship between molecular profiles and phenotype, normal distribution for the methylation data and phenotype. In this study, we applied an assumption-free method, the generalized correlation coefficient (GCC), and compare it to linear models, namely the linear mixed model and kinship model. We use DNA methylation associated with a cognitive score in 400 and 206 twins as discovery and replication samples respectively. DNA methylation associated with cognitive fu

SUBMITTER: Mohammadnejad A 

PROVIDER: S-EPMC7884045 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature