DNA methylation-based measures of biological age: meta-analysis predicting time to death.
Chen BH., Marioni RE., Colicino E., Peters MJ., Ward-Caviness CK., Tsai P-C., Roetker NS., Just AC., Demerath EW., Guan W., Bressler J., Fornage M., Studenski S., Vandiver AR., Moore AZ., Tanaka T., Kiel DP., Liang L., Vokonas P., Schwartz J., Lunetta KL., Murabito JM., Bandinelli S., Hernandez DG., Melzer D., Nalls M., Pilling LC., Price TR., Singleton AB., Gieger C., Holle R., Kretschmer A., Kronenberg F., Kunze S., Linseisen J., Meisinger C., Rathmann W., Waldenberger M., Visscher PM., Shah S., Wray NR., McRae AF., Franco OH., Hofman A., Uitterlinden AG., Absher D., Assimes T., Levine ME., Lu AT., Tsao PS., Hou L., Manson JE., Carty CL., LaCroix AZ., Reiner AP., Spector TD., Feinberg AP., Levy D., Baccarelli A., van Meurs J., Bell JT., Peters A., Deary IJ., Pankow JS., Ferrucci L., Horvath S.
Estimates of biological age based on DNA methylation patterns, often referred to as "epigenetic age", "DNAm age", have been shown to be robust biomarkers of age in humans. We previously demonstrated that independent of chronological age, epigenetic age assessed in blood predicted all-cause mortality in four human cohorts. Here, we expanded our original observation to 13 different cohorts for a total sample size of 13,089 individuals, including three racial/ethnic groups. In addition, we examined whether incorporating information on blood cell composition into the epigenetic age metrics improves their predictive power for mortality. All considered measures of epigenetic age acceleration were predictive of mortality (p≤8.2x10-9), independent of chronological age, even after adjusting for additional risk factors (p<5.4x10-4), and within the racial/ethnic groups that we examined (non-Hispanic whites, Hispanics, African Americans). Epigenetic age estimates that incorporated information on blood cell composition led to the smallest p-values for time to death (p=7.5x10-43). Overall, this study a) strengthens the evidence that epigenetic age predicts all-cause mortality above and beyond chronological age and traditional risk factors, and b) demonstrates that epigenetic age estimates that incorporate information on blood cell counts lead to highly significant associations with all-cause mortality.