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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

SUBMITTER: Lund JB 

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

REPOSITORIES: biostudies-literature

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

Lund Jesper Beltoft JB   Li Shuxia S   Baumbach Jan J   Svane Anne Marie AM   Hjelmborg Jacob J   Christiansen Lene L   Christensen Kaare K   Redmond Paul P   Marioni Riccardo E RE   Deary Ian J IJ   Tan Qihua Q  

Clinical epigenetics 20190208 1


<h4>Background</h4>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.<h4>Methods</h4>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 r  ...[more]

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