Format

Send to

Choose Destination
Genome Biol. 2016 Sep 23;17(1):193.

Novel regional age-associated DNA methylation changes within human common disease-associated loci.

Author information

1
Department of Twin Research & Genetic Epidemiology, King's College London, London, UK. christopher.g.bell@kcl.ac.uk.
2
MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK. christopher.g.bell@kcl.ac.uk.
3
Human Development and Health Academic Unit, Institute of Developmental Sciences, University of Southampton, Southampton, UK. christopher.g.bell@kcl.ac.uk.
4
Epigenomic Medicine, Biological Sciences, Faculty of Environmental and Natural Sciences, University of Southampton, Southampton, UK. christopher.g.bell@kcl.ac.uk.
5
BGI-Shenzhen, Shenzhen, 518083, China.
6
Department of Twin Research & Genetic Epidemiology, King's College London, London, UK.
7
Institute of Cancer Research, Sutton, UK.

Abstract

BACKGROUND:

Advancing age progressively impacts on risk and severity of chronic disease. It also modifies the epigenome, with changes in DNA methylation, due to both random drift and variation within specific functional loci.

RESULTS:

In a discovery set of 2238 peripheral-blood genome-wide DNA methylomes aged 19-82 years, we identify 71 age-associated differentially methylated regions within the linkage disequilibrium blocks of the single nucleotide polymorphisms from the NIH genome-wide association study catalogue. This included 52 novel regions, 29 within loci not covered by 450 k or 27 k Illumina array, and with enrichment for DNase-I Hypersensitivity sites across the full range of tissues. These age-associated differentially methylated regions also show marked enrichment for enhancers and poised promoters across multiple cell types. In a replication set of 2084 DNA methylomes, 95.7 % of the age-associated differentially methylated regions showed the same direction of ageing effect, with 80.3 % and 53.5 % replicated to p < 0.05 and p < 1.85 × 10-8, respectively.

CONCLUSION:

By analysing the functionally enriched disease and trait-associated regions of the human genome, we identify novel epigenetic ageing changes, which could be useful biomarkers or provide mechanistic insights into age-related common diseases.

KEYWORDS:

Ageing; Common Disease; DNA methylation; Epigenetics; Human

Supplemental Content

Full text links

Icon for BioMed Central Icon for PubMed Central
Loading ...
Support Center