ArticleNature communications2017
DNA methylation signatures in peripheral blood strongly predict all-cause mortality.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 241 papers, 3 of them syntheses that pooled it.
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Who cites it
241 citing papers in PubMed, 3 syntheses or guidelines pooled it, 390 citations in OpenAlex.
- Pooled it
- Pooled it
- Blood DNA methylation sites predict death risk in a longitudinal study of 12, 300 individuals.Aging · 2020Pooled it
- Associations of breast DNA methylation-based measures of biological ageing with obesity-related breast cancer risk markers.Epigenetics · 2026Article
- Facial skin aging: an integrative analysis of genetics, epigenetics, and lifestyle factors.GeroScience · 2026Article
- Epigenetic Markers of Cell Division and Ageing in Relation to Breast Cancer Survival.International journal of cancer · 2026Article
- Glycemic status-dependent proteomic signatures of biological aging for health risk prediction.GeroScience · 2026Article
- Longitudinal associations of one-carbon metabolism biomarkers with biological and epigenetic aging in older adults in India.GeroScience · 2026Article
- A Comparative Analysis of Aging Across Causes of Death.Evolutionary applications · 2026Article
- Histological aging signatures for monitoring tissue-specific aging and disease.Nature medicine · 2026Article
- Blood-Based DNA Methylation Models Improve Short-term Cardiovascular Risk Stratification in Individuals With Type 2 Diabetes.Diabetes care · 2026Article
- A machine learning approach to identify key epigenetic transcripts for ageing research in human blood (Epitage).Biogerontology · 2026Article
- Exploring a targeted epigenetic clock based on mortality-associated CpGs as a potential biomarker for frailty.Clinical epigenetics · 2026Article
- Epigenetic mechanisms of gingival aging: biological basis, periodontal implications, and therapeutic perspectives.Odontology · 2026Review
- Epigenetic signatures of cardiometabolic risk in men: accelerated aging and differential methylation replicated across cohorts.Clinical epigenetics · 2026Article
- Analysis of second-generation epigenetic clocks reveals further associations between disproportionate biological ageing and hippocampal volume.GeroScience · 2026Article
- Article
- Structural Disadvantage in Adolescence and Biological Aging in Early Midlife.JAMA network open · 2026Observational
- Tracking DNA methylation-based biological age over 8 years and its association with mortality in community-dwelling older adults.Clinical epigenetics · 2026Article
- The genetic basis for DNA methylation variation across tissues and development.Nature communications · 2026Article
181 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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'. 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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.