APPLYING NEW METHODS TO EXISTING DATASETS TO TEST STRESS EFFECTS ON BIOLOGICAL AGING

Novel opportunities to examine how life experiences connect to health and mortality through biological aging have increased due to the affordability of genomic analysis. Although epidemiological studies suggest associations between stress and accelerated biological aging, most if not all measures in the past have been global, data cross-sectional, and from primarily white samples. As part of a completed measurement study, a diverse sample (n=140, 25-65 years, Mage=47, 65% Female) provided detailed stress measures, including EMA and lifetime stress assessments, and consented to future analysis of their blood samples. We successfully used decade-old blood samples to estimate methylation-based epigenetic clocks and examined them within the context of various stress measures as a preliminary phase of a future longitudinal study. Additional whole genome sequencing will also allow for future work that incorporate continuous measures of genomic ancestry when examining lifetime discrimination-related stress, rather than simply testing for demographic group differences.