Open access · CC-BY
via OpenAlex
DNA methylation signatures in peripheral blood strongly predict all-cause mortality
Yan Zhang, Rory Wilson, Jonathan Heiss, Lutz Philipp Breitling, Kai-Uwe Saum, Ben Schöttker, Bernd Holleczek, Mélanie Waldenberger, Annette Peters, Hermann Brenner
Nature Communications · 2017 · ▲ 395 citations
Abstract
DNA methylation (DNAm) has been revealed to play a role in various diseases. Here we performed epigenome-wide screening and validation to identify mortality-related DNAm signatures in a general population-based cohort with up to 14 years follow-up. In the discovery panel in a case-cohort approach, 11,063 CpGs reach genome-wide significance (FDR<0.05). 58 CpGs, mapping to 38 well-known disease-related genes and 14 intergenic regions, are confirmed in a validation panel. A mortality risk score based on ten selected CpGs exhibits strong association with all-cause mortality, showing hazard ratios (95% CI) of 2.16 (1.10-4.24), 3.42 (1.81-6.46) and 7.36 (3.69-14.68), respectively, for participants with scores of 1, 2-5 and 5+ compared with a score of 0. These associations are confirmed in an independent cohort and are independent from the 'epigenetic clock(definition)'. In conclusion, DNAm of multiple disease-related genes are strongly linked to mortality outcomes. The DNAm-based risk score might be informative for risk assessment and stratification.
◌ CITATION ONLY
Full text is not openly licensed for redistribution here. Read it at the source:
Provenance
- Source
- OpenAlex
- DOI
- 10.1038/ncomms14617
- Canonical
- link ↗
- Fetched
- 2026-06-11 MST
Cite this
APA
Zhang, Y., Wilson, R., Heiss, J., Breitling, L.P., Saum, K., Schöttker, B., Holleczek, B., Waldenberger, M., Peters, A., & Brenner, H. (2017). DNA methylation signatures in peripheral blood strongly predict all-cause mortality. <em>Nature Communications</em>. https://doi.org/10.1038/ncomms14617
Vancouver
Zhang Y, Wilson R, Heiss J, Breitling LP, Saum K, Schöttker B, et al. DNA methylation signatures in peripheral blood strongly predict all-cause mortality. Nature Communications. 2017. doi:10.1038/ncomms14617.
BibTeX
@article{yan2017DNAmet,
title = {DNA methylation signatures in peripheral blood strongly predict all-cause mortality},
author = {Yan Zhang and Rory Wilson and Jonathan Heiss and Lutz Philipp Breitling and Kai-Uwe Saum and Ben Schöttker and Bernd Holleczek and Mélanie Waldenberger and Annette Peters and Hermann Brenner},
journal = {Nature Communications},
year = {2017},
doi = {10.1038/ncomms14617},
}
Research neighborhood
References, citing works, and semantically nearest findings. Click a node to open it.
Related findings
International Journal of Epidemiology 2012
Open access · OA
Two-step epigenetic Mendelian randomization: a strategy for establishing the causal role of epigenetic processes in pathways to disease
Ageing Research Reviews 2016
Citation only
Role of the mitochondrial DNA replication machinery in mitochondrial DNA mutagenesis, aging and age-related diseases
Frontiers in Genetics 2018
Open access · CC-BY
Prenatal Alcohol Exposure: Profiling Developmental DNA Methylation Patterns in Central and Peripheral Tissues
Chinese Medical Journal 2021
Open access · CC-BY
Epigenetic clocks in the pediatric population: when and why they tick?
Journal of Clinical Oncology 2011
Preprint · OA
DNA Methylation Array Analysis Identifies Profiles of Blood-Derived DNA Methylation Associated With Bladder Cancer
Neuron 2014
Open access · OA