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Additional file 4 of Epigenetic measures of ageing predict the prevalence and incidence of leading causes of death and disease burden
journal contribution
posted on 2020-08-01, 07:10 authored by Robert F. Hillary, Anna J. Stevenson, Daniel L. McCartney, Archie Campbell, Rosie M. Walker, David M. Howard, Craig W. Ritchie, Steve Horvath, Caroline Hayward, Andrew M. McIntosh, David J. Porteous, Ian J. Deary, Kathryn L. Evans, Riccardo E. MarioniAdditional file 4. Significant associations between epigenetic measures of ageing and prevalent disease phenotypes present in both discovery and replication sets in a basic model adjusted for age and sex. (Fig. S1). Significant associations between epigenetic measures of ageing and continuous phenotypes present in both discovery and replication sets in a basic model adjusted for age and sex. (Fig. S2). Associations between epigenetic measures of ageing and all-cause mortality in both discovery (A) and replication (B) sets in a basic model adjusted for age and sex. (Fig. S3). Degree of correlation for continuous variables (A) or categorical variables (B) between discovery and replication cohorts. (Fig. S4). Significant associations between epigenetic measures of ageing and incidence of common disease states in Generation Scotland in a basic model adjusting for age and sex. (Fig. S5). Degree of correlation between males and females in relation to continuous variables (A) or categorical variables (B) in the discovery cohort. (Fig. S6). Degree of correlation between males and females in relation to continuous variables (A) or categorical variables (B) in the replication cohort. (Fig. S7). Correlation structure between different epigenetic measures of biological ageing in discovery (A) and replication (B) sets. (Fig. S8). Heatmap demonstrating the relationship between epigenetic measures of ageing and incident disease outcomes in a fully-adjusted Cox regression model in Generation Scotland. (Fig. S9).