Impact of paternal education on epigenetic ageing in adolescence and mid-Adulthood: A multi-cohort study in the USA and Mexico

Brian T. Joyce*, Tao Gao, Kalsea Koss, Yinan Zheng, Andres Cardenas, Jonathan Heiss, Allan Just, Kai Zhang, Linda Van Horn, Norrina Bai Allen, Philip Greenland, Sheldon Cohen, Penny Gordon-Larsen, Colter Mitchell, Sara McLanahan, Lisa Schneper, Daniel Notterman, Sheryl L. Rifas-Shiman, Emily Oken, Marie France HivertRobert Wright, Andrea Baccarelli, Donald Lloyd-Jones, Lifang Hou

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)870-884
Number of pages15
JournalInternational journal of epidemiology
Volume51
Issue number3
DOIs
StatePublished - Jun 1 2022

Keywords

  • DNA methylation
  • ageing
  • epidemiology
  • epigenetics
  • health disparities

ASJC Scopus subject areas

  • Epidemiology

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