Ann Zenobia Moore

TL;DR: Evidence that epigenetic age predicts all-cause mortality above and beyond chronological age and traditional risk factors is strengthened and estimates that incorporate information on blood cell counts lead to highly significant associations with all- Cause mortality are demonstrated.

TL;DR: Using elastic net regression models, the proteomic signature of age was created based on relative concentrations of 76 proteins that highly correlated with chronological age (r = 0.94), and the generalizability of the findings needs replication in an independent cohort.

TL;DR: To examine differences in a proxy measure of muscle quality across the adult life span and explore potential mechanisms of Muscle quality change through identification of cross‐sectional correlates of musclequality, a large number of subjects were recruited for the study.

TL;DR: It is shown that the clustering of correlated DNA methylation at CpGs was similar to that of linkage-disequilibrium (LD) correlation in genetic SNP variation but for much shorter distances, and this type of correlated methylation structure has implications for both biological functions and for the design, analysis, and interpretation of epigenome-wide association studies.

TL;DR: A conceptual framework to identify metrics of ageing that may capture the hierarchical and temporal relationships between functional ageing, phenotypic ageing and biological ageing based on four hypothesized domains: body composition, energy regulation, homeostatic mechanisms and neurodegeneration/neuroplasticity is proposed.