Unknown

Dataset Information

Meta-analysis of genome-wide DNA methylation identifies shared associations across neurodegenerative disorders.


ABSTRACT:

Background

People with neurodegenerative disorders show diverse clinical syndromes, genetic heterogeneity, and distinct brain pathological changes, but studies report overlap between these features. DNA methylation (DNAm) provides a way to explore this overlap and heterogeneity as it is determined by the combined effects of genetic variation and the environment. In this study, we aim to identify shared blood DNAm differences between controls and people with Alzheimer's disease, amyotrophic lateral sclerosis, and Parkinson's disease.

Results

We use a mixed-linear model method (MOMENT) that accounts for the effect of (un)known confounders, to test for the association of each DNAm site with each disorder. While only three probes are found to be genome-wide significant in each M

SUBMITTER: Nabais MF 

PROVIDER: S-EPMC8004462 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature