DNA methylation age is associated with mortality in a longitudinal Danish twin study.
| dc.contributor.author | Christiansen, Lene | |
| dc.contributor.author | Lenart, Adam | |
| dc.contributor.author | Tan, Qihua | |
| dc.contributor.author | Vaupel, James W | |
| dc.contributor.author | Aviv, Abraham | |
| dc.contributor.author | McGue, Matt | |
| dc.contributor.author | Christensen, Kaare | |
| dc.coverage.spatial | England | |
| dc.date.accessioned | 2017-06-01T17:47:45Z | |
| dc.date.available | 2017-06-01T17:47:45Z | |
| dc.date.issued | 2016-02 | |
| dc.description.abstract | An epigenetic profile defining the DNA methylation age (DNAm age) of an individual has been suggested to be a biomarker of aging, and thus possibly providing a tool for assessment of health and mortality. In this study, we estimated the DNAm age of 378 Danish twins, age 30-82 years, and furthermore included a 10-year longitudinal study of the 86 oldest-old twins (mean age of 86.1 at follow-up), which subsequently were followed for mortality for 8 years. We found that the DNAm age is highly correlated with chronological age across all age groups (r = 0.97), but that the rate of change of DNAm age decreases with age. The results may in part be explained by selective mortality of those with a high DNAm age. This hypothesis was supported by a classical survival analysis showing a 35% (4-77%) increased mortality risk for each 5-year increase in the DNAm age vs. chronological age. Furthermore, the intrapair twin analysis revealed a more-than-double mortality risk for the DNAm oldest twin compared to the co-twin and a 'dose-response pattern' with the odds of dying first increasing 3.2 (1.05-10.1) times per 5-year DNAm age difference within twin pairs, thus showing a stronger association of DNAm age with mortality in the oldest-old when controlling for familial factors. In conclusion, our results support that DNAm age qualifies as a biomarker of aging. | |
| dc.identifier | ||
| dc.identifier.eissn | 1474-9726 | |
| dc.identifier.uri | ||
| dc.language | eng | |
| dc.publisher | Wiley | |
| dc.relation.ispartof | Aging Cell | |
| dc.relation.isversionof | 10.1111/acel.12421 | |
| dc.subject | DNA methylation | |
| dc.subject | biological age | |
| dc.subject | biomarker | |
| dc.subject | epigenetic clock | |
| dc.subject | mortality | |
| dc.subject | twins | |
| dc.subject | Adult | |
| dc.subject | Aged | |
| dc.subject | Aged, 80 and over | |
| dc.subject | Aging | |
| dc.subject | DNA Methylation | |
| dc.subject | Denmark | |
| dc.subject | Epigenesis, Genetic | |
| dc.subject | Female | |
| dc.subject | Humans | |
| dc.subject | Longitudinal Studies | |
| dc.subject | Male | |
| dc.subject | Middle Aged | |
| dc.subject | Molecular Sequence Data | |
| dc.subject | Mortality | |
| dc.title | DNA methylation age is associated with mortality in a longitudinal Danish twin study. | |
| dc.type | Journal article | |
| pubs.author-url | ||
| pubs.begin-page | 149 | |
| pubs.end-page | 154 | |
| pubs.issue | 1 | |
| pubs.organisational-group | Center for Population Health & Aging | |
| pubs.organisational-group | Duke | |
| pubs.organisational-group | Duke Population Research Institute | |
| pubs.organisational-group | Sanford School of Public Policy | |
| pubs.publication-status | Published | |
| pubs.volume | 15 |
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