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

Ann Hum Biol. 2013 Jan;40(1):94-8. doi: 10.3109/03014460.2012.742138. Epub 2012 Nov 15.

Abstract

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 ∼30% 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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Black People
  • Brazil
  • Chromosomes, Human, Y / genetics
  • DNA, Mitochondrial / genetics
  • Ethnicity / genetics*
  • Female
  • Gene Frequency
  • Genetic Markers
  • Genetic Variation
  • Genotype
  • Humans
  • INDEL Mutation*
  • Indians, South American
  • Male
  • Racial Groups / genetics*
  • White People

Substances

  • DNA, Mitochondrial
  • Genetic Markers