A SOCIAL EPIGENOMIC APPROACH TO HEALTH DISPARITIES IN CARDIOVASCULAR RISK FACTORS Individual-level socioeconomic factors such as education, income/wealth, and occupation have long been known to profoundly affect risk for cardiovascular diseases, and these effects accumulate across the life course to create systematic disadvantage that manifests in a wide range of health disparities. In addition, there is now increasing evidence that neighborhood-level disadvantage also negatively impacts cardiovascular health, both cross-sectionally and longitudinally, even after accounting for individual-level socioeconomic factors. One mechanism by which individual-level and neighborhood-level disadvantage may influence cardiovascular health is through epigenomic modifications of genes regulating adaptive cellular pathways (e.g. inflammation and immune response). To better understand the biological mechanisms underlying health disparities in cardiovascular disease, we propose to investigate the impact of individual and neighborhood disadvantage on the epigenome. We will conduct the discovery work in two epidemiologic studies ? the Multi- Ethnic Study of Atherosclerosis (MESA, N=1,264) and the Genetic Epidemiology Network of Arteriopathy (GENOA, N=1,728) ? and replicate our results in other cohorts with similar measures, including the Atherosclerosis Risk in Communities study (ARIC, N=3,911) and the Health and Retirement Study (HRS, N=2,000). This multi-cohort strategy increases scientific rigor by reducing false positives while improving our higher-dimensional understanding of the social epigenomic architecture underlying cardiovascular disease. To facilitate this multi-cohort approach, we will begin by harmonizing the measures of individual and neighborhood disadvantage (Aim 1) to enable us to identify and replicate DNA methylation (DNAm) sites that are associated with these measures of disadvantage (Aim 2) and then evaluate whether the DNAm sites are mediators of the well-established relationships between disadvantage and cardiovascular risk factors (Aim 3). Finally, we will perform pathway analysis to characterize the key biological pathways implicated by the DNAm sites identified in the previous Aims, and investigate their association with gene expression in MESA and GENOA (Aim 4).

Public Health Relevance

In this project, we will use state-of-the-art methods to identify how socioeconomic factors and neighborhood conditions impact the epigenome, leading to disparities in cardiovascular risk factors such as hypertension, diabetes, and obesity. .

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
5R01HL141292-03
Application #
9852551
Study Section
Cancer, Heart, and Sleep Epidemiology B Study Section (CHSB)
Program Officer
Nelson, Cheryl R
Project Start
2018-04-01
Project End
2022-01-31
Budget Start
2020-02-01
Budget End
2021-01-31
Support Year
3
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Public Health & Prev Medicine
Type
Schools of Public Health
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109