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Dataset Information

DNA methylome profiling of all-cause mortality in comparison with age-associated methylation patterns.


ABSTRACT:

Background

Multiple epigenome-wide association studies have been performed to identify DNA methylation patterns regulated by aging or correlated with risk of death. However, the inter-relatedness of the epigenetic basis of aging and mortality has not been well investigated.

Methods

Using genome-wide DNA methylation data from the Lothian Birth Cohorts, we conducted a genome-wide association analysis of all-cause mortality and compared this with age-associated methylation patterns reported on the same samples.

Results

Survival analysis using the Cox regression model identified 2552 CpG sites with genome-wide significance (false discovery rate < 0.05) for all-cause mortality. CpGs whose methylation levels are associated with increased mortality appear more distributed fr

SUBMITTER: Lund JB 

PROVIDER: S-EPMC6368749 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature