Research Paper Volume 14, Issue 23 pp 9484—9549

Figure 4. Meta analysis forest plots for predicting time-to-coronary heart disease. Fixed effect models meta analysis was performed to combine Cox regression analysis of coronary heart disease (CHD) across 8 strata from 4 study cohorts. Each panel reports a meta analysis forest plot for combining hazard ratios predicting time-to-CHD based on a DNAm based biomarker (reported in the figure heading) across different strata formed by racial groups within the cohort. (A, B) Results for AgeAccelGrim2 and AgeAccelGrim. Each row reports a hazard ratio (for time-to-CHD) and a 95% confidence interval resulting from a Cox regression model in each strata. (C–L) display the results for (age-adjusted) DNAm based surrogate markers of (C) adrenomedullin (ADM), (D) beta-2 microglobulin (B2M), (E) cystatin C (Cystatin C), (F) growth differentiation factor 15 (GDF-15), (G) leptin, (H) log scale of C reactive protein (CRP), (I) log scale of hemoglobin A1C, (J) plasminogen activation inhibitor 1 (PAI-1), (K) tissue inhibitor metalloproteinase 1 (TIMP-1) and (L) smoking pack-years (PACKYRS). The sub-title of each panel reports the meta analysis P-value. (A, B) Each hazard ratio (HR) corresponds to a one-year increase in AgeAccel. (C–K) Each hazard ratio corresponds to an increase in one-standard deviation. (L) Hazard ratios correspond to a one-year increase in pack-years. The most significant Meta analysis P-value is marked in red (AgeAccelGrim2), followed by hot pink (AgeAccelGrim) and blue (DNAm logCRP), respectively.