Impact of paternal education on epigenetic ageing in adolescence and mid-adulthood: a multi-cohort study in the USA and Mexico. (17th September 2021)

• Record Type: Journal Article
• Authors: Joyce, Brian T; Gao, Tao; Koss, Kalsea; Zheng, Yinan; Cardenas, Andres; Heiss, Jonathan; Just, Allan; Zhang, Kai; van Horn, Linda; Allen, Norrina Bai; Greenland, Philip; Cohen, Sheldon; Gordon-Larsen, Penny; Mitchell, Colter; McLanahan, Sara; Schneper, Lisa; Notterman, Daniel; Rifas-Shiman, Sheryl L; Oken, Emily; Hivert, Marie-France; Wright, Robert; Baccarelli, Andrea; Lloyd-Jones, Donald; Hou, Lifang
• Is Part Of: International journal of epidemiology. Volume 51:Number 3(2022)
• Page Start: 870
• Page End: 884
• Publication Date: 2021-09-17
• Subjects: DNA methylation -- epigenetics -- epidemiology -- ageing -- health disparities; Epidemiology -- Periodicals; 614.4
• DOI: 10.1093/ije/dyab196
• Languages: English
• ISSNs: 0300-5771

Abstract

Abstract: Background: Both parental and neighbourhood socio-economic status (SES) are linked to poorer health independently of personal SES measures, but the biological mechanisms are unclear. Our objective was to examine these influences via epigenetic age acceleration (EAA)—the discrepancy between chronological and epigenetic ages. Methods: We examined three USA-based [Coronary Artery Risk Disease in Adults (CARDIA) study, Fragile Families and Child Wellbeing Study (FFCWS) and Programming Research in Obesity, Growth, Environment and Social Stressors (PROGRESS)] and one Mexico-based (Project Viva) cohort. DNA methylation was measured using Illumina arrays, personal/parental SES by questionnaire and neighbourhood disadvantage from geocoded address. In CARDIA, we examined the most strongly associated personal, parental and neighbourhood SES measures with EAA (Hannum's method) at study years 15 and 20 separately and combined using a generalized estimating equation (GEE) and compared with other EAA measures (Horvath's EAA, PhenoAge and GrimAge calculators, and DunedinPoAm). Results: EAA was associated with paternal education in CARDIA [GEEs: βsome college = −1.01 years (−1.91, −0.11) and β<high school = 1.05 (0.09, 2.01) vs college graduates] and FFCWS [GEEs: β<high school = 0.62 (0.00, 1.24)]. We found stronger associations for some paternal education categories among White adults (for GEE, βsome college = −1.39 (−2.41, −0.38)], men (βsome college = −1.76 (−3.16, −0.35)] and women [β<high school = 1.77 (0.42, 3.11)]. Conclusions: These findings suggest that EAA captures epigenetic impacts of paternal education independently of personal SES later in life. Longitudinal studies should explore these associations at different life stages and link them to health outcomes. EAA could be a useful biomarker of SES-associated health and provide important insight into the pathogenesis and prevention of chronic disease.