Additional file 1 of Epigenetic age acceleration mediates the association between smoking and diabetes-related outcomes
Creators: name: Chang, Xue-Yong
name: Lin, Wan-Yu
Publisher: name: figshare
Year: 2023
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biotechnology
subject: Cancer
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Additional file 1: Table S1. Basic characteristics of the 173,807 Taiwan Biobank (TWB) participants stratified by smoking status. Table S2. (Based on 173,807 Taiwan Biobank participants) Results of regressing health outcomes on smoking variables while adjusting for six covariates (chronological age (in years), sex (male vs. female), BMI (in kg/m2), drinking status (yes vs. no), performing regular exercise (yes vs. no), and educational attainment (an integer ranging from 1 to 7)). Table S3. (Only in males) Basic characteristics of the 1243 male participants stratified by smoking status. Table S4. (Only in males) Results of regressing each DNAm marker on smoking variables (based on models 1, 3, and 5). Table S5. (Only in males) Results of six DNAm markers in mediating the associations between former smoking status and four health outcomes. Table S6. (Only in males) Results of six DNAm markers in mediating the associations between current smoking status and four health outcomes. Table S7. (Only in males) Results of six DNAm markers in mediating the associations between former smokers’ pack-years and four health outcomes. Table S8. (Only in males) Results of six DNAm markers in mediating the associations between current smokers’ pack-years and four health outcomes. Table S9. (Only in males) Results of six DNAm markers in mediating the associations between years since smoking cessation and four health outcomes. Figure S1. Boxplots of the seven DNA methylation (DNAm) markers. Figure S2. (Both males and females) Heatmap of Pearson’s correlation coefficients among variables. The numbers in cells are Pearson’s correlation coefficients between pairwise variables. Figure S3. (Only in males) Heatmap of Pearson’s correlation coefficients among variables. The numbers in cells are Pearson’s correlation coefficients between pairwise variables. Figure S4. (Only in males) 95% confidence intervals of the effects of six DNAm markers in mediating the associations between former smoking status and four health outcomes. Figure S5. (Only in males) 95% confidence intervals of the effects of six DNAm markers in mediating the associations between current smoking status and four health outcomes. Figure S6. (Only in males) 95% confidence intervals of the effects of six DNAm markers in mediating the associations between former smokers’ pack-years and four health outcomes. Figure S7. (Only in males) 95% confidence intervals of the effects of six DNAm markers in mediating the associations between current smokers’ pack-years and four health outcomes. Figure S8. (Only in males) 95% confidence intervals of the effects of six DNAm markers in mediating the associations between years since smoking cessation and four health outcomes. Figure S9. (Both males and females) The original p-values (without FDR adjustment) of the mediation effects. Figure S10. (Only in males) The original p-values (without FDR adjustment) of the mediation effects.