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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.

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Provenance

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OpenAlex
DOI
10.1038/ncomms14617
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2026-06-11 MST

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APA
Zhang, Y., Wilson, R., Heiss, J., Breitling, L.P., Saum, K., Schöttker, B., Holleczek, B., Waldenberger, M., Peters, A., &amp; 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}, }

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