Research Paper Volume 16, Issue 4 pp 3107—3136

Associations of prenatal one-carbon metabolism nutrients and metals with epigenetic aging biomarkers at birth and in childhood in a US cohort

class="figure-viewer-img"

Figure 3. Factor loadings and associations with epigenetic gestational age acceleration (EGAA) and epigenetic age acceleration (EAA) at birth and in mid-childhood. (A) Factor loadings for samples with data available at birth (N = 351). (B) Effect estimates and 95% confidence intervals (CIs) for samples with data available at birth. (C) Factor loadings for samples with data available at mid-childhood (N = 326). (D) Effect estimates and 95% CIs for samples with data available at mid-childhood. EGAA and EAA were calculated from cord blood DNA methylation, and EAA was calculated from mid-childhood blood DNA methylation. Factor loadings were derived from exploratory factor analysis (EFA) of scaled nutrients and metal concentrations. Associations were evaluated using robust linear models including both factors and evaluated separately for each EGAA and EAA measure adjusting for child sex, race and ethnicity, nulliparity, maternal age at enrollment, pre-pregnancy BMI, education, income, smoking, and estimated cell type proportions. Significant associations (p < 0.05) are plotted in orange.