TY - JOUR TI - Longitudinal trajectories, correlations and mortality associations of nine biological ages across 20-years follow-up AU - Li, Xia AU - Ploner, Alexander AU - Wang, Yunzhang AU - Magnusson, Patrik KE AU - Reynolds, Chandra AU - Finkel, Deborah AU - Pedersen, Nancy L AU - Jylhävä, Juulia AU - Hägg, Sara A2 - Harper, Diane M A2 - Franco, Eduardo A2 - Moskalev, Alexey VL - 9 PY - 2020 DA - 2020/02/11 SP - e51507 C1 - eLife 2020;9:e51507 DO - 10.7554/eLife.51507 UR - https://doi.org/10.7554/eLife.51507 AB - Biological age measurements (BAs) assess aging-related physiological change and predict health risks among individuals of the same chronological age (CA). Multiple BAs have been proposed and are well studied individually but not jointly. We included 845 individuals and 3973 repeated measurements from a Swedish population-based cohort and examined longitudinal trajectories, correlations, and mortality associations of nine BAs across 20 years follow-up. We found the longitudinal growth of functional BAs accelerated around age 70; average levels of BA curves differed by sex across the age span (50–90 years). All BAs were correlated to varying degrees; correlations were mostly explained by CA. Individually, all BAs except for telomere length were associated with mortality risk independently of CA. The largest effects were seen for methylation age estimators (GrimAge) and the frailty index (FI). In joint models, two methylation age estimators (Horvath and GrimAge) and FI remained predictive, suggesting they are complementary in predicting mortality. KW - biological age KW - longitudinal trajectory KW - mortality KW - aging KW - correlation JF - eLife SN - 2050-084X PB - eLife Sciences Publications, Ltd ER -