Skip to main content
Open Access Publications from the University of California

UC San Diego

UC San Diego Previously Published Works bannerUC San Diego

DNA methylation-based measures of biological age: meta-analysis predicting time to death.

  • Author(s): Chen, Brian H;
  • Marioni, Riccardo E;
  • Colicino, Elena;
  • Peters, Marjolein J;
  • Ward-Caviness, Cavin K;
  • Tsai, Pei-Chien;
  • Roetker, Nicholas S;
  • Just, Allan C;
  • Demerath, Ellen W;
  • Guan, Weihua;
  • Bressler, Jan;
  • Fornage, Myriam;
  • Studenski, Stephanie;
  • Vandiver, Amy R;
  • Moore, Ann Zenobia;
  • Tanaka, Toshiko;
  • Kiel, Douglas P;
  • Liang, Liming;
  • Vokonas, Pantel;
  • Schwartz, Joel;
  • Lunetta, Kathryn L;
  • Murabito, Joanne M;
  • Bandinelli, Stefania;
  • Hernandez, Dena G;
  • Melzer, David;
  • Nalls, Michael;
  • Pilling, Luke C;
  • Price, Timothy R;
  • Singleton, Andrew B;
  • Gieger, Christian;
  • Holle, Rolf;
  • Kretschmer, Anja;
  • Kronenberg, Florian;
  • Kunze, Sonja;
  • Linseisen, Jakob;
  • Meisinger, Christine;
  • Rathmann, Wolfgang;
  • Waldenberger, Melanie;
  • Visscher, Peter M;
  • Shah, Sonia;
  • Wray, Naomi R;
  • McRae, Allan F;
  • Franco, Oscar H;
  • Hofman, Albert;
  • Uitterlinden, André G;
  • Absher, Devin;
  • Assimes, Themistocles;
  • Levine, Morgan E;
  • Lu, Ake T;
  • Tsao, Philip S;
  • Hou, Lifang;
  • Manson, JoAnn E;
  • Carty, Cara L;
  • LaCroix, Andrea Z;
  • Reiner, Alexander P;
  • Spector, Tim D;
  • Feinberg, Andrew P;
  • Levy, Daniel;
  • Baccarelli, Andrea;
  • van Meurs, Joyce;
  • Bell, Jordana T;
  • Peters, Annette;
  • Deary, Ian J;
  • Pankow, James S;
  • Ferrucci, Luigi;
  • Horvath, Steve
  • et al.

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.

Many UC-authored scholarly publications are freely available on this site because of the UC's open access policies. Let us know how this access is important for you.

Main Content
For improved accessibility of PDF content, download the file to your device.
Current View