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Genome-Wide Analysis in Brazilian Xavante Indians Reveals Low Degree of Admixture

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Title
Genome-Wide Analysis in Brazilian Xavante Indians Reveals Low Degree of Admixture
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0042702
Pubmed ID
Authors

Patricia C. Kuhn, Andréa R. V. Russo. Horimoto, José Maurício Sanches, João Paulo B. Vieira Filho, Luciana Franco, Amaury Dal Fabbro, Laercio Joel Franco, Alexandre C. Pereira, Regina S Moises

Abstract

Characterization of population genetic variation and structure can be used as tools for research in human genetics and population isolates are of great interest. The aim of the present study was to characterize the genetic structure of Xavante Indians and compare it with other populations. The Xavante, an indigenous population living in Brazilian Central Plateau, is one of the largest native groups in Brazil. A subset of 53 unrelated subjects was selected from the initial sample of 300 Xavante Indians. Using 86,197 markers, Xavante were compared with all populations of HapMap Phase III and HGDP-CEPH projects and with a Southeast Brazilian population sample to establish its population structure. Principal Components Analysis showed that the Xavante Indians are concentrated in the Amerindian axis near other populations of known Amerindian ancestry such as Karitiana, Pima, Surui and Maya and a low degree of genetic admixture was observed. This is consistent with the historical records of bottlenecks experience and cultural isolation. By calculating pair-wise F(st) statistics we characterized the genetic differentiation between Xavante Indians and representative populations of the HapMap and from HGDP-CEPH project. We found that the genetic differentiation between Xavante Indians and populations of Ameridian, Asian, European, and African ancestry increased progressively. Our results indicate that the Xavante is a population that remained genetically isolated over the past decades and can offer advantages for genome-wide mapping studies of inherited disorders.

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Geographical breakdown

Country Count As %
Netherlands 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 26%
Student > Master 9 23%
Professor > Associate Professor 4 10%
Researcher 4 10%
Student > Doctoral Student 3 8%
Other 8 21%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 44%
Biochemistry, Genetics and Molecular Biology 5 13%
Medicine and Dentistry 5 13%
Social Sciences 4 10%
Nursing and Health Professions 1 3%
Other 3 8%
Unknown 4 10%