These datasets correspond to the manuscript “Refining epigenetic prediction of chronological and biological age“. Here, we include the summary statistics for an epigenome-wide association study (EWAS) of age, considering both CpG (linear) and CpG^2 (quadratic) associations, as well as for an EWAS of survival (using a fixed effects Cox Proportional Hazards Model; results for a mixed effects model to account for relatedness included in Supplementary Table 8 of manuscript). Further methodological details, including quality control steps, software used, and covariates adjusted for, are described in the accompanying manuscript. Analyses were conducted using the Generation Scotland cohort (N = 18,413).
Bernabeu, E.; McCartney, Daniel L.; Gadd, Danni A.; Hillary, Robert F.; Lu, Ake T.; Murphy, Lee; Wrobel, Nicola; Campbell, Archie; Harris, Sara E.; Liewald, David; Hayward, Caroline; Porteous, David J.; Sudlow, Cathie; Cox, Simon R.; Evans, Kathy L.; Horvath, Steve; McIntosh, Andrew M.; Robinson, Matthew R.; Vallejos, Catalina A.; Marioni, Riccardo E.. (2022). cAge and bAge EWAS - Epigenome-wide association study of chronological age (linear and quadratic) and of survival, [dataset]. University of Edinburgh. College of Medicine & Veterinary Medicine. Institute of Genetics and Cancer. Centre for Genomic & Experimental Medicine (CGEM). https://doi.org/10.7488/ds/3513.
|Date made available||1 Oct 2022|
|Geographical coverage||UK,UNITED KINGDOM|