Forensic Science International: Genetics
Volume 6, Issue 1 , Pages e42-e43, January 2012

Genetic data for D1S1677, D2S441, D4S2364, D10S1248, D14S1434 and D22S1045 miniSTR loci from the state of Rio Grande do Sul, Southern Brazil

  • Paulo Eduardo Raimann

      Affiliations

    • Setor de Genética Forense, Laboratório de Perícias, Instituto-Geral de Perícias, Secretaria da Segurança Pública do Estado do Rio Grande do Sul, Av. Azenha, 255, Porto Alegre Cep 90160-004, RS, Brazil
    • Laboratório de Genética Humana e Molecular, Faculdade de Biociências. Av. Ipiranga, 6681, prédio 12 C, sala 290, Porto Alegre Cep 90619-900, RS, Brazil
    • Corresponding Author InformationCorresponding author: Tel.: +55 51 99432849.
    • ,
  • Ana Paula Aidar de Oliveira

      Affiliations

    • USP – Universidade de São Paulo, Faculdade de Ciências Farmacêuticas, Departamento de Análises Clínicas e Toxicológicas, Av. Prof. Lineu Prestes, 580 Bl. 17, Sao Paulo Cep 05508-900, SP, Brazil
    • ,
  • Rodrigo Rodenbusch

      Affiliations

    • Laboratório de Investigação de Paternidade, Centro de Desenvolvimento Científico e Tecnológico (CDCT), Fundação Estadual de Produção e Pesquisa em Saúde (FEPPS), Av. Ipiranga, 5400, Bairro Jardim Botânico, Porto Alegre-RS, CEP 90610-000, Brazil
    • ,
  • Juliane Bentes Picanço

      Affiliations

    • Laboratório de Genética Humana e Molecular, Faculdade de Biociências. Av. Ipiranga, 6681, prédio 12 C, sala 290, Porto Alegre Cep 90619-900, RS, Brazil
    • ,
  • Trícia Cristine Kommers Albuquerque

      Affiliations

    • Setor de Genética Forense, Laboratório de Perícias, Instituto-Geral de Perícias, Secretaria da Segurança Pública do Estado do Rio Grande do Sul, Av. Azenha, 255, Porto Alegre Cep 90160-004, RS, Brazil
    • ,
  • Clarice Sampaio Alho

      Affiliations

    • Laboratório de Genética Humana e Molecular, Faculdade de Biociências. Av. Ipiranga, 6681, prédio 12 C, sala 290, Porto Alegre Cep 90619-900, RS, Brazil

Received 1 October 2010 published online 14 April 2011.

Article Outline

 

Dear Editor

We determined the allelic frequencies for six miniSTR loci D10S1248, D14S1434, D22S1045 (miniplex NC01) and D1S1677, D2S441, D4S2364 (miniplex NC02) in a sample of 439 unrelated individuals from the Rio Grande do Sul State (RS), Southern Brazil. This paper followed the FSI Genetics guideline recommendations [1].

Blood samples were collected from 439 subjects who were representable of the seven RS geopolitical regions [2], from the ring finger tip in a FTA card. All participants signed an informed consent. DNA was purified from blood spots on Whatman FTA cards using the manufacturer's protocols. A total of 0.5–1.0ng of DNA, contained in a 1.2mm punch of FTA paper, were amplified following the parameters outlined in [3] for the NC01 and NC02 miniplexes. Electrophoresis of the amplified fragments was performed in an ABI PRISM® 3100-Avant Genetic Analyzer using the separation medium performance optimized polymer (POP) 4 and 47cm capillaries (Applied Biosystems, Foster City, USA).

Allelic designation was determined using Applied Biosystems GeneMapper® ID-X Software v1.2, calibrated with standard DNA cell lines K562, 9947A, 9948 and 007 (www.cstl.nist.gov/div831/strbase/miniSTR/miniSTR_NC_loci_types.htm). Corrected allele nomenclature for six miniSTR loci NC01 and NC02 were those reported in the website http://www.cstl.nist.gov/biotech/strbase/miniSTR.htm# Nomenclature Errata and confirmed by Hill et al. [4] and according to recommendations of the DNA Commission of the ISFG [5]. The laboratory where this research was developed participates in the Proficiency testing of the GHEP-ISFG WG (Spanish–Portuguese Speaking Working Group of International Society for Forensic Genetics) (http://www.GEP-isfg.org).

Regarding data analysis, Hardy–Weinberg exact test (P), expected heterozigosity (He), observed heterozigosity (Ho), and polymorphic information content (PIC) were performed using the CERVUS version 3.0.3 [6]. Matching probability (MP), power of discrimination (PD), power of exclusion (PE), and typical paternity index (PI) were calculated using PowerStat version 1.2 software package [7].

The population from RS was compared with populations from the Parana State of Brazil [8] and the Central-East area of Argentina [9], in order to assess the genetic distance between these data, in a pairwise comparative analysis (FST) performed using Arlequin v3.5.1.2 software [10]. The genotype frequency distributions, summarized in supplementary Table 1, showed no deviations from the Hardy–Weinberg equilibrium (HWE) by exact test method after applying Bonferroni's correction. The combined power of discrimination and power of exclusion for the NC01 and NC02 panels were 0.999997 and 0.972873, respectively. The genetic distance, FST (see supplementary Table 2) was calculated between Rio Grande do Sul and both the Parana and the Central-Eastern Argentina population.

After Bonferroni's correction, our population sample had significant differences only when compared to Central-Eastern Argentina in three out of six loci (D10S1248, D14S1434, and D1S1677). The comparison between RS and Parana populations detected no significant differences (FST=0.00088; p value=0.099±0.037). Five of the six loci showed acceptable levels of polymorphisms, with heterozygosities greater than 0.71, meaning that all these loci have a sufficiently high level of informativeness in the Brazilian population of Rio Grande do Sul and, for that reason, can be applied as genetic markers in paternity and forensic analysis.

In more complex cases of human identification, like sibship cases, parentage testing with other familial relationships or paternity testing with few genetic inconsistencies, the commercial kits can generate inconclusive data and the use of six miniSTRs can help in the elucidation of such cases. In situations with degraded DNA reduced STR size becomes an important tool when combined with another commercial kit miniSTR like AmpFℓSTR® MiniFiler™ PCR Amplification Kit (Applied Biosystems, Foster City, USA).

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Conflict of interest statement 

None.

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Acknowledgements 

We kindly thank the researchers Marcelo Malaghini and Carlos Vullo for providing data on population frequencies. This work was supported by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Secretaria Nacional de Segurança Pública (SENASP), Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), and Instituto Geral de Perícias (IGP) do Estado do Rio Grande do Sul. This investigation was approved by the Ethics Committee of the Pontifícia Universidade Católica do Rio Grande do Sul (CEP Resolution no. 08/04349).

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Appendix A. Supplementary data 

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References 

  1. Carracedo A, Butler JM, Gusmão L, Parson W, Roewer L, Schneider PM. Publication of population data for forensic purposes. Forensic Sci. Int. Genet. 2010;4:145–147
  2. Schwengber SP, Kommers T, Matte CH, Raimann PE, Carvalho BA, Leite FP, et al. Population data of 17 Y-STR loci from Rio Grande do Sul state (South Brazil). Forensic Sci. Int. Genet. 2009;4:e31–e33
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  8. Malaghini M, Schneider V, Leite F. Genetic analysis of 9 non-CODIS miniSTR loci in the Brazilian population of Parana. Forensic Sci. Int. Genet. Suppl. 2009;2:359–360
  9. Vullo C, Borosky A, Romanini C, Catelli L, Yamamoto T. Frequency data for 12 mini STR loci in Argentina. Forensic Sci. Int. Genet. 2010;4:e79–e81
  10. Excoffier L, Guillaume L, Schneider S. Arlequin ver. 3.0: an integrated software package for population genetics data analysis. Evol. Bioinform. Online. 2005;1:47–50http://cmpg.unibe.ch/software/arlequin3

PII: S1872-4973(11)00048-2

doi:10.1016/j.fsigen.2011.03.003

Forensic Science International: Genetics
Volume 6, Issue 1 , Pages e42-e43, January 2012

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