4.3 Article

Analysis of genetic ancestry in the admixed Brazilian population from Rio de Janeiro using 46 autosomal ancestry-informative indel markers

Journal

ANNALS OF HUMAN BIOLOGY
Volume 40, Issue 1, Pages 94-98

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.3109/03014460.2012.742138

Keywords

Admixture; AIM; insertion deletion polymorphism; population structure

Funding

  1. Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES)
  2. Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq)
  3. Fundacao de Amparo a Pesquisa do Estado do Rio de Janeiro (FAPERJ)
  4. DNA Program-State University and Justice Court of Rio de Janeiro(UERJ/TJRJ/MPRJ), Brazil
  5. Portuguese Foundation for Science and Technology (FCT) [SFRH/BPD/81986/2011]

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The Brazilian population is highly heterogeneous as a result of five centuries of inter-ethnic mating between native Amerindians, European colonizers and Africans arrived during slavery. This study aimed to assess the proportions of inter-ethnic admixture in the Brazilian population of Rio de Janeiro using autosomal Ancestry-Informative Markers (AIMs). The autosomal data were also compared to the results expected from uniparental genetic markers. A total of 413 individuals were genotyped for 46 AIM-Indels and ancestry estimates were then assessed using HGDP-CEPH samples as ancestral reference. Individuals from Rio de Janeiro presented highly diverse admixture patterns. The global admixture estimates showed a predominantly European ancestry, above 55%, followed by African and Amerindian contributions. A separate self-declared Afro-descendant group also included in this study revealed an increased African ancestry, from similar to 30% to similar to 50%. The inter-ethnic admixture landscape of Rio de Janeiro captured by autosomal AIM-Indels is in agreement with historical records and similar to that expected from uniparental mtDNA and Y-chromosome information. The AIM-Indel panel proved to be a rapid strategy to estimate autosomal genetic ancestry at individual and population levels in Rio de Janeiro, which is useful in population genetics and in case-control association studies.

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