Skip to main content
SpringerLink
Log in

Allele frequencies for 15 autosomal STRs in a population sample from the Federal District (Brazil)—a territory that arose from nothing

  • Population Data
  • Published:
International Journal of Legal Medicine Aims and scope Submit manuscript

Abstract

The Federal District (Brazil) was created in 1960 in the Central-West Region of Brazil in a previously unpopulated area. In 2010, this artificially founded district was populated by 2,562,963 inhabitants. In this study, the genetic variations of the 15 Next Generation Multiplex (NGMTM) short tandem repeat loci were analyzed. The results indicate that the NGMTM is a highly informative genetic system in this population, which is more similar to the southeastern, northeastern, and overall Brazil populations. This conclusion agrees with the population composition reported in the 2010 National Survey Inquiries, in which most of the immigrants were from the northeast and the southeast.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

References

  1. Instituto Brasileiro de Geografia e Estatística (IBGE). http://www.ibge.gov.br/estadosat/. Accessed 26 Jan 2013

  2. Habermalz U (2006) Brasília - eine Stadt aus dem Nichts: auf den Spuren Oscar Niemeyers. Berner Fachhochschule, Architektur, Holz, Bau

  3. Censo Demografico (2010) Instituto Brasileiro de Geografia e Estatística (IBGE). http://www.ibge.gov.br/estadosat/perfil.php?sigla=df. Accessed 26 Jan 2013

  4. Raimann PE, Hirschfeld-Campolongo G, Schumacher S, de Mattos Almeida SE, da Silva CM, Rodenbusch R, Bassini AS, de Souza LF, Nascimento EC, de Oliveira ES, Santos VR, de Oliveira EC, Auler-Bittencourt EA, da Rocha Hirschfeld-Campolongo RC, ML ES, de Figueiredo HP, de Figueiredo BB, Silva R, Moura-Neto RS (2012) Population genetic analyses of the AmpFlSTR(R) NGM in Brazil. Int J Legal Med 126(2):337–341. doi:10.1007/s00414-011-0606-1

    Article  PubMed  Google Scholar 

  5. Poetsch M, Bajanowski T, Pfeiffer H (2012) The publication of population genetic data in the International Journal of Legal Medicine: guidelines. Int J Legal Med 126(4):2. doi:10.1007/s00414-012-0700-z

    Article  Google Scholar 

  6. Excoffier L, Lischer HE (2010) Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows. Mol Ecol Resour 10(3):564–567. doi:10.1111/j.1755-0998.2010.02847.x

    Article  PubMed  Google Scholar 

  7. Tereba A (1999) Tools for analysis of population statistics. Profiles in DNA:14–16

  8. Ota T (1993) DISPAN: Genetic distance and phylogenetic analysis (computer software distributed by the author). Institute of Molecular Evolutionary Genetics, Pennsylvania State University, Pennsylvania

    Google Scholar 

  9. Peakall R, Smouse PE (2012) GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research—an update. Bioinformatics 28(19):2537–2539. doi:10.1093/bioinformatics/bts460

    Article  CAS  PubMed Central  PubMed  Google Scholar 

Download references

Acknowledgments

We would like to thank Sandra Santana Soares Costa, Janete Ana Ribeiro Vaz, and Rodrigo Moura Neto for their contribution to this work. Sabin Laboratory and Institute supported this study.

Conflict of interest

The authors declare that they have no conflicts of interest.

Author information

Authors and Affiliations

  1. Sabin Laboratory and Institute, SCLRN 710/711 bloco A, Brasília, DF, 70.750-531, Brazil

    Gustavo Barcelos Barra, Lara Franciele Ribeiro Velasco & Claudia Ferreira de Souza

  2. Programa de Pós-Graduação em Ciências da Saúde, Universidade de Brasília, Campus Darcy Ribeiro, Brasília, DF, 70.910-900, Brazil

    Gustavo Barcelos Barra, Ticiane Henriques Santa Rita & Camilla Figueiredo Chianca

Authors
  1. Gustavo Barcelos Barra
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ticiane Henriques Santa Rita
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Camilla Figueiredo Chianca
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Lara Franciele Ribeiro Velasco
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Claudia Ferreira de Souza
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Gustavo Barcelos Barra.

Additional information

Gustavo Barcelos Barra and Ticiane Henriques Santa Rita contributed equally to this work.

Electronic supplementary material

Below is the link to the electronic supplementary material.

ESM 1

(XLSX 142 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Barra, G.B., Santa Rita, T.H., Chianca, C.F. et al. Allele frequencies for 15 autosomal STRs in a population sample from the Federal District (Brazil)—a territory that arose from nothing. Int J Legal Med 128, 741–742 (2014). https://doi.org/10.1007/s00414-013-0866-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00414-013-0866-z

Keywords

Search

Navigation