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      Genetic Ancestry, Social Classification, and Racial Inequalities in Blood Pressure in Southeastern Puerto Rico

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      1 , * , 1 , 1 , 2
      PLoS ONE
      Public Library of Science

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          Abstract

          Background

          The role of race in human genetics and biomedical research is among the most contested issues in science. Much debate centers on the relative importance of genetic versus sociocultural factors in explaining racial inequalities in health. However, few studies integrate genetic and sociocultural data to test competing explanations directly.

          Methodology/Principal Findings

          We draw on ethnographic, epidemiologic, and genetic data collected in southeastern Puerto Rico to isolate two distinct variables for which race is often used as a proxy: genetic ancestry versus social classification. We show that color, an aspect of social classification based on the culturally defined meaning of race in Puerto Rico, better predicts blood pressure than does a genetic-based estimate of continental ancestry. We also find that incorporating sociocultural variables reveals a new and significant association between a candidate gene polymorphism for hypertension (α 2C adrenergic receptor deletion) and blood pressure.

          Conclusions/Significance

          This study addresses the recognized need to measure both genetic and sociocultural factors in research on racial inequalities in health. Our preliminary results provide the most direct evidence to date that previously reported associations between genetic ancestry and health may be attributable to sociocultural factors related to race and racism, rather than to functional genetic differences between racially defined groups. Our results also imply that including sociocultural variables in future research may improve our ability to detect significant allele-phenotype associations. Thus, measuring sociocultural factors related to race may both empower future genetic association studies and help to clarify the biological consequences of social inequalities.

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          Most cited references52

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          Genetic dissection of complex traits.

          Medical genetics was revolutionized during the 1980s by the application of genetic mapping to locate the genes responsible for simple Mendelian diseases. Most diseases and traits, however, do not follow simple inheritance patterns. Genetics have thus begun taking up the even greater challenge of the genetic dissection of complex traits. Four major approaches have been developed: linkage analysis, allele-sharing methods, association studies, and polygenic analysis of experimental crosses. This article synthesizes the current state of the genetic dissection of complex traits--describing the methods, limitations, and recent applications to biological problems.
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            Are racial disparities in health conditional on socioeconomic status?

            Racial health inequality is related to socioeconomic status (SES), but debate ensues on the nature of the relationship. Using the US National Health and Nutrition Examination Survey I and the subsequent follow-up interviews, this research examines health disparities between white and black adults and whether the SES/health gradient differs across the two groups in the USA. Two competing mechanisms for the conditional or interactive relationship between race and SES on health are examined during a 20-year period for black and white Americans. Results show that black adults began the study with more serious illnesses and poorer self-rated health than white adults and that the disparity continued over the 20 years. Significant interactions were found between race and education as well as race and employment status on health outcomes. The interaction effect of race and education showed that the racial disparity in self-rated health was largest at the higher levels of SES, providing some evidence for the "diminishing returns" hypothesis; as education levels increased, black adults did not have the same improvement in self-rated health as white adults. Overall, the findings provide evidence for the continuing significance of both race and SES in determining health status over time.
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              Color and genomic ancestry in Brazilians.

              This work was undertaken to ascertain to what degree the physical appearance of a Brazilian individual was predictive of genomic African ancestry. Using a panel of 10 population-specific alleles, we assigned to each person an African ancestry index (AAI). The procedure was able to tell apart, with no overlaps, 20 males from northern Portugal from 20 males from São Tomé Island on the west coast of Africa. We also tested 10 Brazilian Amerindians and observed that their AAI values fell in the same range as the Europeans. Finally, we studied two different Brazilian population samples. The first consisted of 173 individuals from a rural Southeastern community, clinically classified according to their Color (white, black, or intermediate) with a multivariate evaluation based on skin pigmentation in the medial part of the arm, hair color and texture, and the shape of the nose and lips. In contrast to the clear-cut results with the African and European samples, our results showed large variances and extensive overlaps among the three Color categories. We next embarked on a study of 200 unrelated Brazilian white males who originated from cosmopolitan centers of the four major geographic regions of the country. The results showed AAI values intermediate between Europeans and Africans, even in southern Brazil, a region predominantly peopled by European immigrants. Our data suggest that in Brazil, at an individual level, color, as determined by physical evaluation, is a poor predictor of genomic African ancestry, estimated by molecular markers.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2009
                9 September 2009
                : 4
                : 9
                : e6821
                Affiliations
                [1 ]Department of Anthropology, University of Florida, Gainesville, Florida, United States of America
                [2 ]Genetics Institute, University of Florida, Gainesville, Florida, United States of America
                University of Illinois at Champaign-Urbana, United States of America
                Author notes

                Conceived and designed the experiments: CCG CJM. Performed the experiments: CCG ALN. Analyzed the data: CCG ALN. Wrote the paper: CCG ALN CJM.

                Article
                09-PONE-RA-11037R1
                10.1371/journal.pone.0006821
                2731885
                19742303
                c114ec47-901c-48d2-a6af-f465a1a38402
                Gravlee et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 15 June 2009
                : 3 August 2009
                Page count
                Pages: 9
                Categories
                Research Article
                Genetics and Genomics/Complex Traits
                Genetics and Genomics/Genetics of Disease
                Genetics and Genomics/Population Genetics
                Public Health and Epidemiology/Epidemiology
                Public Health and Epidemiology/Global Health
                Public Health and Epidemiology/Social and Behavioral Determinants of Health
                Evolutionary Biology/Human Evolution

                Uncategorized
                Uncategorized

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