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. 2012 Aug;102(8):1559-65.
doi: 10.2105/AJPH.2011.300448. Epub 2012 Jun 14.

Education, genetic ancestry, and blood pressure in African Americans and Whites

Affiliations

Education, genetic ancestry, and blood pressure in African Americans and Whites

Amy L Non et al. Am J Public Health. 2012 Aug.

Abstract

Objectives: We assessed the relative roles of education and genetic ancestry in predicting blood pressure (BP) within African Americans and explored the association between education and BP across racial groups.

Methods: We used t tests and linear regressions to examine the associations of genetic ancestry, estimated from a genomewide set of autosomal markers, and education with BP variation among African Americans in the Family Blood Pressure Program. We also performed linear regressions in self-identified African Americans and Whites to explore the association of education with BP across racial groups.

Results: Education, but not genetic ancestry, significantly predicted BP variation in the African American subsample (b=-0.51 mm Hg per year additional education; P=.001). Although education was inversely associated with BP in the total population, within-group analyses showed that education remained a significant predictor of BP only among the African Americans. We found a significant interaction (b=3.20; P=.006) between education and self-identified race in predicting BP.

Conclusions: Racial disparities in BP may be better explained by differences in education than by genetic ancestry. Future studies of ancestry and disease should include measures of the social environment.

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Figures

FIGURE 1—
FIGURE 1—
Interaction plots of self-identified race and education: US Family Blood Pressure Program, 1996–2000. Note. AA = African American; SBP = systolic blood pressure. Interaction plots of education × self-identified race, with education divided into less than or equal to a high-school degree, or greater than a high-school degree (a), and separated by gender (b). SBP measures are adjusted for covariates of age, gender, age × gender, and body mass index (defined as weight in kilograms divided by the square of height in meters).

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