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Plos One : Social Factors and Leukocyte Dna Methylation of Repetitive Sequences ; the Multi-ethnic Study of Atherosclerosis, Volume 7

By Christensen, Brock, C.

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Book Id: WPLBN0003960076
Format Type: PDF eBook :
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Reproduction Date: 2015

Title: Plos One : Social Factors and Leukocyte Dna Methylation of Repetitive Sequences ; the Multi-ethnic Study of Atherosclerosis, Volume 7  
Author: Christensen, Brock, C.
Volume: Volume 7
Language: English
Subject: Journals, Science, Medical Science
Collections: Periodicals: Journal and Magazine Collection
Publication Date:
Publisher: Plos

Description : Epigenetic changes are a potential mechanism contributing to race/ethnic and socioeconomic disparities in health. However, there is scant evidence of the race/ethnic and socioeconomic patterning of epigenetic marks. We used data from the Multi-Ethnic Study of Atherosclerosis Stress Study (N = 988) to describe age- and gender- independent associations of race/ethnicity and socioeconomic status (SES) with methylation of Alu and LINE-1 repetitive elements in leukocyte DNA. Mean Alu and Line 1 methylation in the full sample were 24% and 81% respectively. In multivariable linear regression models, African-Americans had 0.27% (p,0.01) and Hispanics 0.20% (p,0.05) lower Alu methylation than whites. In contrast, African-Americans had 0.41% (p,0.01) and Hispanics 0.39% (p,0.01) higher LINE-1 methylation than whites. These associations remained after adjustment for SES. In addition, a one standard deviation higher wealth was associated with 0.09% (p,0.01) higher Alu and 0.15% (p,0.01) lower LINE-1 methylation in age- and gender- adjusted models. Additional adjustment for race/ethnicity did not alter this pattern. No associations were observed with income, education or childhood SES. Our findings, from a large community-based sample, suggest that DNA methylation is socially patterned. Future research, including studies of gene-specific methylation, is needed to understand better the opposing associations of Alu and LINE-1 methylation with race/ethnicity and wealth as well as the extent to which small methylation changes in these sequences may influence disparities in health.


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