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

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. Using genome-wide DNA methylation da...

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Bibliographic Details
Published in:Clinical epigenetics 2019-02, Vol.11 (1), p.23-23, Article 23
Main Authors: Lund, Jesper Beltoft, Li, Shuxia, Baumbach, Jan, Svane, Anne Marie, Hjelmborg, Jacob, Christiansen, Lene, Christensen, Kaare, Redmond, Paul, Marioni, Riccardo E, Deary, Ian J, Tan, Qihua
Format: Article
Language:English
Subjects:
Age
Age Factors
Aged
Aging
Aging (Biology)
Analysis
Association analysis
Bioinformatics
Blood
Comparative analysis
Control
CpG Islands
Death
Deoxyribonucleic acid
DNA
DNA fingerprinting
DNA Methylation
Epigenesis, Genetic
Epigenetic inheritance
Epigenetics
Epigenome-wide association study
Ethics
Female
Genes
Genome-Wide Association Study - methods
Genomes
Genomics
Health aspects
Health risk assessment
Humans
Male
Methylation
Mortality
Old cohorts
Studies
Survival
Survival Analysis
Survival Rate - trends
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Summary: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. 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. Survival analysis using the Cox regression model identified 2552 CpG sites with genome-wide significance (false discovery rate
ISSN:1868-7075
1868-7083
1868-7083
1868-7075
DOI:10.1186/s13148-019-0622-4