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Research Article| Volume 5, e93-e95, December 2015

Analysis of the most efficient autosomal strs and genetic data for the locus se33 in ecuadorian population

Published:September 18, 2015DOI:https://doi.org/10.1016/j.fsigss.2015.09.038

      Abstract

      Twenty three autosomal STR markers were analyzed to define which are the most informative in forensic genetic cases in Ecuadorian population. In this study, we report genetic data from 1434 and 1800 unrelated individuals for SE33 and other 22 STRs, respectively. The parameters analyzed were: polymorphism information content (PIC), heterozygosity, power of discrimination and power of exclusion. SE33 was the best marker for forensic identification purposes because it showed the highest polymorphism information content (PIC) of 0.9334; heterozygosity of 0.9191; power of discrimination of 0.9969 and power of exclusion of 0.8345. Hence, we recommend its use in routine and complex paternity cases. After SE33, the subsequent most informative STR markers for Ecuadorian population were PENTA E, FGA, D1S1656 and D19S433, and the less informative markers were VWA, D22S1045, D2S441, TPOX and D3S1358.

      Keywords

      1. Introduction

      SE33 has been incorporated into several STR kits due to it's high polymorphism, it́s power of discrimination and the fact that more than 140 alleles have been reported to date [,
      • Butler John M.
      • et al.
      SE33 variant alleles: sequences and implications.
      ]. The aim of this study was to compare the forensic efficiency parameters of 23 different STR to assess their forensic application in Ecuadorian Population and also report the genetic data for locus SE33. [
      • Butler J.
      • et al.
      The single most polymorphic STR Locus: SE33 performance in U. S. populations.
      ].

      2. Materials and methods

      The samples analyzed in this study for 22 STR autosomal markers (D3S1358, D1S1656, D2S441, D10S1248, D13S317, PENTA E, D16S539, D18S51, D2S1338, CSF1PO, PENTA D, TH01, VWA, D21S11, D7S820, D5S818, TPOX, D8S1179, D12S391, D19S433, FGA and D22S1045) were 1800 unrelated Ecuadorian individuals, which information were previously reported in Gaviria et al. [
      • Gaviria A.
      • et al.
      Twenty two autosomal microsatellite data from Ecuador (Powerplex Fusion).
      ]. For SE33 analysis, DNA samples from 1434 unrelated Ecuadorian individuals were extracted from whole blood following FTA method (Whatman). PCR amplification was performed using AmpFLSTR NGM SElect PCR Amplification kit, according to manufacturer's instructions (Applied Biosystems).
      The ABI PRISM 3130 Genetic Analyzer and Genemapper v 3.2 software (Applied Biosystems) were used to analyze PCR products and population genetic analyses were calculated using Arlequin Software v. 3.5.1.3 [
      • Excoffier L.
      • Lischer H.
      Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows.
      ]. Moreover, forensic and population parameters were estimated by Powerstats software [

      PowerStats A. computer program for the analysis of population statistics (1999). Free Program Distributed by the Authors over the Internet from http://www.promega.com/geneticidtools

      ] (Promega Corporation).

      3. Results and discussion

      Some forensic efficiency parameters of the 23 autosomal markers investigated in Ecuadorian population are shown and detailed in Fig 1. SE33 marker showed twice the number of alelles: 47 (Table S1), compared to the next most variable STR locus D18S51 with 24.
      Figure thumbnail gr1
      Fig. 1Heterozygosity, polymorphism information content, power of discrimination and power of exclusion of 23 autosomal markers in Ecuadorian population.
      The range of heterozygosity varied between 0.9191 (SE33) and 0.5251 (VWA), the markers with higher values of Heterozygosity and PIC are SE33, PENTA E, FGA and D1S1656 and the less informative markers were VWA, D22S1045, D2S441 and TPOX. The power of exclusion ranged from 0.8345 (SE33) to 0.2104 (VWA) (Table 1).
      Table 1Heterozygosity, polymorphism information content, power of discrimination and power of exclusion of 23 autosomal markers in Ecuadorian population.
      STRNumber of allelesHeterozigosity Obs.Power of coincidencePower of discriminationPICPower of exclusionTypical paternity indexMinimal allele frequency
      SE33470.91910.00310.99690.93330.83456.17890.0025
      D3S1358100.68780.15790.84210.62720.40961.60130.0029
      D1S1656190.85330.03210.96790.85400.70133.40750.0033
      D2S441140.60740.19930.80070.56500.29991.27370.0027
      D10S1248100.69880.14070.85930.65340.42641.66000.0029
      D13S31790.79800.05050.94950.80210.59532.47510.0031
      PENTA E200.90160.01710.98290.89850.79875.08160.0034
      D16S53990.77110.07640.92360.75760.54652.18420.0030
      D18S51240.82800.04040.95960.83110.65192.90640.0032
      D2S1338140.83230.05440.94560.80390.66042.98200.0032
      CSF1PO120.70650.12920.87080.66560.43841.70380.0029
      PENTA D160.82330.05570.94430.79860.64302.82950.0032
      TH0180.68880.13450.86550.65520.41110.86550.0026
      VWA110.52510.23610.76390.50960.21041.05290.0026
      D21S11210.83030.05220.94780.80640.65652.94670.0032
      D7S820120.72790.10040.89960.71140.47271.83760.0029
      D5S818110.71230.11330.88670.67870.44751.73780.0029
      TPOX80.62450.19130.80870.57490.32131.33160.0027
      D8S1179110.81330.06840.93160.77130.62392.67740.0031
      D12S391210.80920.07020.92980.76930.61632.62110.0031
      D19S433200.82630.03890.96110.83490.64872.87860.0032
      FGA200.86950.03200.96800.85460.73363.83080.0033
      D221045100.58030.21210.78790.54110.26791.19140.0027
      The highest degree of heterozygosity, PIC, power of discrimination and power of exclusion in SE33 Locus were reported in other population analyses as U.S, Poland, Germany and Portugal [
      • Butler J.
      • et al.
      The single most polymorphic STR Locus: SE33 performance in U. S. populations.
      ,
      • Jacewicz R.
      • Jedrzejczyk M.
      • Berent J.
      The most efficient STR loci in forensic genetics in population of central Poland.
      ,
      • Krause M.
      • Heide K.-G.
      • Krawczak M.
      SE33 allele and genotype frequencies in the population of Schleswig-Holstein (Northern Germany).
      ,
      • Cruz C.
      • Vieira-Silva C.
      • Ribeiro T.
      • Espinheira R.
      genetic data for the locus SE33 in a south Portuguese population with Powerplex ES System.
      ]. Following SE33 (0.9969) as the best power of discrimination marker for Ecuadorian population are with 0.9829 (Penta E), 0.9680 (FGA) and 0.9679 (D1S1656).

      4. Conclusion

      In this study we demonstrate that SE33 is the best STR for forensic identification purposes because it showed the highest: polymorphism information content (PIC) of 0.9334; heterozygosity of 0.9191; power of discrimination of 0.9969 and power of exclusion of 0.8345. Hence, we recommend its use in routine and complex paternity cases. After SE33, the subsequent most informative STR markers for Ecuadorian population were PENTA E, FGA, D1S1656 and D19S433, and the less informative markers were VWA, D22S1045, D2S441, TPOX and D3S1358.

      Conflict of interest

      None.

      Ethical standards

      Experiments comply with the current Ecuadorian Laws.

      Role of funding

      This research had financial support by Laboratory of Molecular Genetic of Cruz Roja Ecuatoriana—Cruz Vital, Quito, Ecuador.

      Acknowledgments

      For Cruz Roja Ecuatoriana—Cruz Vital and all the Ecuadorian people who participated with their samples in this study.

      Appendix A. Supplementary data

      The following are Supplementary data to this article:

      References

        • Butler J.
        • et al.
        The single most polymorphic STR Locus: SE33 performance in U. S. populations.
        Forensic Sci. Int. Genet. 2009; 2: 23-24
      1. STRBase SE33 Fact sheet: http://www.cstl.nist.gov/biotech/strbase/str_SE33.htm.

        • Gaviria A.
        • et al.
        Twenty two autosomal microsatellite data from Ecuador (Powerplex Fusion).
        Forensic Sci. Int. Genet. 2013; 4: e330-e333
        • Excoffier L.
        • Lischer H.
        Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows.
        Mol. Ecol. Resour. 2010; 10: 564-567
      2. PowerStats A. computer program for the analysis of population statistics (1999). Free Program Distributed by the Authors over the Internet from http://www.promega.com/geneticidtools

        • Jacewicz R.
        • Jedrzejczyk M.
        • Berent J.
        The most efficient STR loci in forensic genetics in population of central Poland.
        Forensic Sci. Int. Genet. 2008; 1: 340-342
        • Butler John M.
        • et al.
        SE33 variant alleles: sequences and implications.
        Forensic Sci. Int. Genet. 2011; 3: e502-e503
        • Krause M.
        • Heide K.-G.
        • Krawczak M.
        SE33 allele and genotype frequencies in the population of Schleswig-Holstein (Northern Germany).
        Prog. Forensic Genet. 2006; 11: 400-402
        • Cruz C.
        • Vieira-Silva C.
        • Ribeiro T.
        • Espinheira R.
        genetic data for the locus SE33 in a south Portuguese population with Powerplex ES System.
        Prog. Forensic Genet. 2006; 11: 427-429