The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
The Genomic Ancestry of Individuals from Different Geographical Regions of Brazil Is More Uniform Than Expected
Open accessAbstract
Based on pre-DNA racial/color methodology, clinical and pharmacological trials have traditionally considered the different geographical regions of Brazil as being very heterogeneous. We wished to ascertain how such diversity of regional color categories correlated with ancestry. Using a panel of 40 validated ancestry-informative insertion-deletion DNA polymorphisms we estimated individually the European, African and Amerindian ancestry components of 934 self-categorized White, Brown or Black Brazilians from the four most populous regions of the Country. We unraveled great ancestral diversity between and within the different regions. Especially, color categories in the northern part of Brazil diverged significantly in their ancestry proportions from their counterparts in the southern part of the Country, indicating that diverse regional semantics were being used in the self-classification as White, Brown or Black. To circumvent these regional subjective differences in color perception, we estimated the general ancestry proportions of each of the four regions in a form independent of color considerations. For that, we multiplied the proportions of a given ancestry in a given color category by the official census information about the proportion of that color category in the specific region, to arrive at a "total ancestry" estimate. Once such a calculation was performed, there emerged a much higher level of uniformity than previously expected. In all regions studied, the European ancestry was predominant, with proportions ranging from 60.6% in the Northeast to 77.7% in the South. We propose that the immigration of six million Europeans to Brazil in the 19th and 20th centuries--a phenomenon described and intended as the "whitening of Brazil"--is in large part responsible for dissipating previous ancestry dissimilarities that reflected region-specific population histories. These findings, of both clinical and sociological importance for Brazil, should also be relevant to other countries with ancestrally admixed populations.
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Citations
Cites
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BackgroundA Human Genome Diversity Cell Line Panel
Cann, H. M., de Toma, C., Cazes, L., Legrand, M.-F., Morel, V., Piouffre, L., Bodmer, J., Bodmer, W. F., Bonne-Tamir, B., Cambon-Thomsen, A., et al. (2002) · Science · doi:10.1126/science.296.5566.261b · Cited by 994
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The Ancestry of Brazilian mtDNA Lineages
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Self-citation
Cited by
Ruiz-Linares, A., Adhikari, K., Acuña-Alonzo, V., Quinto-Sanchez, M., Jaramillo, C., Arias, W., Fuentes, M., Pizarro, M., Everardo, P., de Avila, F., et al. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004572 · Cited by 442
“The interpolated ancestry maps obtained (Figure 1) are consistent with other genetic studies [20,21,25,26] and with census information on the distribution of the main ethnicity groups within each country (available at www.”
ResultHallal, P. C., Hartwig, F. P., Horta, B. L., Silveira, M. F., Struchiner, C. J., Vidaletti, L. P., Neumann, N. A., Pellanda, L. C., Dellagostin, O. A., Burattini, M. N., et al. (2020) · The Lancet Global Health · doi:10.1016/s2214-109x(20)30387-9 · Cited by 398
Kehdy, F. S. G., Gouveia, M. H., Machado, M., Magalhães, W. C. S., Horimoto, A. R., Horta, B. L., Moreira, R. G., Leal, T. P., Scliar, M. O., Soares-Souza, G. B., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1504447112 · Cited by 274
Self-citationThe Genetic Diversity of the Americas
Adhikari, K., Chacón-Duque, J. C., Mendoza-Revilla, J., Fuentes-Guajardo, M., & Ruiz-Linares, A. (2017) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-083115-022331 · Cited by 100
Laczynski, C. M. M., Machado Filho, C. D. S., Miot, H. A., Christofolini, D. M., Rodart, I. F., & Criado, P. R. (2023) · Anais Brasileiros de Dermatologia · doi:10.1016/j.abd.2022.04.005 · Cited by 4
Metadata
- Authors
- Pena, S. D. J., Di Pietro, G., Fuchshuber-Moraes, M., Genro, J. P., Hutz, M. H., Kehdy, F. D. S. G., Kohlrausch, F., Magno, L. A. V., Montenegro, R. C., Moraes, M. O., Moraes, M. E. A. D., Moraes, M. R. D., Ojopi, É. B., Perini, J. A., Racciopi, C., Ribeiro-dos-Santos, Â. K. C., Rios-Santos, F., Romano-Silva, M. A., Sortica, V. A., & Suarez-Kurtz, G.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2011-02-16
- Volume
- 6
- Issue
- 2
- Pages
- e17063
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W1972009144
- Cited by
- 677
- References
- 32
- FWCI
- 30.70
- Type
- journal article
- Language
- en
- Open access
- gold
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- Pena, S. D. J., Di Pietro, G., Fuchshuber-Moraes, M., Genro, J. P., Hutz, M. H., Kehdy, F. D. S. G., Kohlrausch, F., Magno, L. A. V., Montenegro, R. C., Moraes, M. O., Moraes, M. E. A. D., Moraes, M. R. D., Ojopi, É. B., Perini, J. A., Racciopi, C., Ribeiro-dos-Santos, Â. K. C., Rios-Santos, F., Romano-Silva, M. A., Sortica, V. A., & Suarez-Kurtz, G. (2011). The Genomic Ancestry of Individuals from Different Geographical Regions of Brazil Is More Uniform Than Expected. PLoS ONE. https://doi.org/10.1371/journal.pone.0017063
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
