Literature DB >> 17177183

Argentine population genetic structure: large variance in Amerindian contribution.

Michael F Seldin1, Chao Tian, Russell Shigeta, Hugo R Scherbarth, Gabriel Silva, John W Belmont, Rick Kittles, Susana Gamron, Alberto Allevi, Simon A Palatnik, Alejandro Alvarellos, Sergio Paira, Cesar Caprarulo, Carolina Guillerón, Luis J Catoggio, Cristina Prigione, Guillermo A Berbotto, Mercedes A García, Carlos E Perandones, Bernardo A Pons-Estel, Marta E Alarcon-Riquelme.   

Abstract

Argentine population genetic structure was examined using a set of 78 ancestry informative markers (AIMs) to assess the contributions of European, Amerindian, and African ancestry in 94 individuals members of this population. Using the Bayesian clustering algorithm STRUCTURE, the mean European contribution was 78%, the Amerindian contribution was 19.4%, and the African contribution was 2.5%. Similar results were found using weighted least mean square method: European, 80.2%; Amerindian, 18.1%; and African, 1.7%. Consistent with previous studies the current results showed very few individuals (four of 94) with greater than 10% African admixture. Notably, when individual admixture was examined, the Amerindian and European admixture showed a very large variance and individual Amerindian contribution ranged from 1.5 to 84.5% in the 94 individual Argentine subjects. These results indicate that admixture must be considered when clinical epidemiology or case control genetic analyses are studied in this population. Moreover, the current study provides a set of informative SNPs that can be used to ascertain or control for this potentially hidden stratification. In addition, the large variance in admixture proportions in individual Argentine subjects shown by this study suggests that this population is appropriate for future admixture mapping studies. (c) 2006 Wiley-Liss, Inc.

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Year:  2007        PMID: 17177183      PMCID: PMC3142769          DOI: 10.1002/ajpa.20534

Source DB:  PubMed          Journal:  Am J Phys Anthropol        ISSN: 0002-9483            Impact factor:   2.868


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