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Demand for larger Y-STR reference databases in ethnic melting-pot countries: Argentina as a test case

  • Mariela CaputoEmail author
  • A. Sala
  • D. Corach
Original Article

Abstract

The Y chromosome behaves as a single locus. Its genetic information is useful in forensic casework, deficiency kinship testing, and population genetics studies. Continuous increases of loci number within commercial kits forced modification of worldwide reference databases. In Pan American countries, like Argentina, diverse parental ethnic groups contributed to the extant admixed urban populations. We report 509 additional haplotypes of 23 Y-STRs from donors inhabiting urban areas of six Argentinean provinces: Buenos Aires, Santiago del Estero, Santa Cruz, Rio Negro, Santa Fe, and Formosa. To better understand the demographic landscape of the admixed urban paternal lineages, structural analysis was performed using published data from other Argentinean provinces. AMOVA by Rst distance and inferred haplogroups by two predictive online software methods based on haplotypes yielded complementary results with respect to detected population structure, probably due to the different proportions of the Native American Q3-M3 haplogroup in the studied samples. This situation, which is common to most North, Meso, and South American countries, underscores the need for the additional step of typing specific SNPs for haplogroup diagnosis. We propose organizing Y-STR haplotype reference databases according to the most frequent haplogroups detected in a given admixed population.

Keywords

Y-STR reference database PPY-23 Admixed urban populations Immigration countries Native American Q3-M3 haplogroup Argentina 

Notes

Acknowledgements

Daniel Corach, Andrea Sala, and Mariela Caputo are members of Carrera del Investigador Cientifico CONICET (National Scientific and Technical Research Council).

Author contributions

Study design: D.C. and M.C.; experimental work: M.C. and A.S.; statistical analysis: M.C. and D.C. The initial manuscript was written by M.C.; revisions: D.C. and A.S. All authors reviewed the manuscript.

Funding information

This work was supported, in part, by grants PIP 0914 (CONICET) and 20020130100783BA (UBACyT) to Daniel Corach. The funding agencies had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Compliance with ethical standards

Donors accepted the terms and assigned a written informed consent statement, which was approved together with the corresponding research project by the Ethics Committee of the School of Pharmacy and Biochemistry, University of Buenos Aires (Exp. 744085/2012).

Conflict of interest

The authors declare that they have no conflict of interest.

Supplementary material

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References

  1. 1.
    Salzano FM, Sans M (2014) Interethnic admixture and the evolution of Latin American populations. Genet Mol Biol Mar 37((1 Suppl)):151–170CrossRefGoogle Scholar
  2. 2.
    Reich D, Patterson N, Campbell D, Tandon A, Mazieres S, Ray N, Parra MV, Rojas W, Duque C, Mesa N, Garcia LF, Triana O, Blair S, Maestre A, Dib JC, Bravi CM, Bailliet G, Corach D, Hunemeier T, Bortolini MC, Salzano FM, Petzl-Erler ML, Acuna-Alonzo V, Aguilar-Salinas C, Canizales-Quinteros S, Tusie-Luna T, Riba L, Rodriguez-Cruz M, Lopez-Alarcon M, Coral-Vazquez R, Canto-Cetina T, Silva-Zolezzi I, Fernandez-Lopez JC, Contreras AV, Jimenez-Sanchez G, Gomez-Vazquez MJ, Molina J, Carracedo A, Salas A, Gallo C, Poletti G, Witonsky DB, Alkorta-Aranburu G, Sukernik RI, Osipova L, Fedorova SA, Vasquez R, Villena M, Moreau C, Barrantes R, Pauls D, Excoffier L, Bedoya G, Rothhammer F, Dugoujon JM, Larrouy G, Klitz W, Labuda D, Kidd J, Kidd K, Di Rienzo A, Freimer NB, Price AL, Ruiz-Linares A (2012) Reconstructing Native American population history. Nature 488(7411):370–374.  https://doi.org/10.1038/nature11258 CrossRefGoogle Scholar
  3. 3.
    Cavalli-Sforza L, Menozzi P, Piazza A (1994) The history and geography of human genes. Princeton University Press, PrincetonGoogle Scholar
  4. 4.
    Alexander R (2016) The transatlantic slave trade: the forced migration of Africans to America (1607–1830). PowerKids Press, New YorkGoogle Scholar
  5. 5.
    Lindo J, Rogers M, Mallott E, Petzelt B, Mitchell J, Archer D, Cybulski J, Malhi R, DeGiorgio M (2018) Patterns of genetic coding variation in a Native American population before and after European contact. Am J Hum Genet 3102(5):806–815.  https://doi.org/10.1016/j.ajhg.2018.03.008 CrossRefGoogle Scholar
  6. 6.
    Corach D, Lao O, Bobillo C, van Der Gaag K, Zuniga S, Vermeulen M, van Duijn K, Goedbloed M, Vallone PM, Parson W, de Knijff P, Kayser M (2010) Inferring continental ancestry of Argentineans from autosomal, Y-chromosomal and mitochondrial DNA. Ann Hum Genet 74(1):65–76.  https://doi.org/10.1111/j.1469-1809.2009.00556.x CrossRefGoogle Scholar
  7. 7.
    Dos Santos S, Rodrigues J, Ribeiro-Dos-Santos A, Zago M (1999) Differential contribution of indigenous men and women to the formation of an urban population in the Amazon region as revealed by mtDNA and Y-DNA. Am J Phys Anthropol 109(2):175–180CrossRefGoogle Scholar
  8. 8.
    Garcia A, Pauro M, Bailliet G, Bravi CM, Demarchi DA (2018) Genetic variation in populations from central Argentina based on mitochondrial and Y chromosome DNA evidence. J Hum Genet.  https://doi.org/10.1038/s10038-017-0406-7
  9. 9.
    Roewer L, Arnemann J, Spurr NK, Grzeschik KH, Epplen JT (1992) Simple repeat sequences on the human Y chromosome are equally polymorphic as their autosomal counterparts. Hum Genet 89(4):389–394CrossRefGoogle Scholar
  10. 10.
    Ballantyne KN, Goedbloed M, Fang R, Schaap O, Lao O, Wollstein A, Choi Y, van Duijn K, Vermeulen M, Brauer S, Decorte R, Poetsch M, von Wurmb-Schwark N, de Knijff P, Labuda D, Vezina H, Knoblauch H, Lessig R, Roewer L, Ploski R, Dobosz T, Henke L, Henke J, Furtado MR, Kayser M (2010) Mutability of Y-chromosomal microsatellites: rates, characteristics, molecular bases, and forensic implications. Am J Hum Genet 87(3):341–353CrossRefGoogle Scholar
  11. 11.
    Kayser M (2017) Forensic use of Y-chromosome DNA: a general overview. Hum Genet 136(5):621–635.  https://doi.org/10.1007/s00439-017-1776-9 CrossRefGoogle Scholar
  12. 12.
    Purps J, Siegert S, Willuweit S, Nagy M, Alves C, Salazar R, Angustia SM, Santos LH, Anslinger K, Bayer B, Ayub Q, Wei W, Xue Y, Tyler-Smith C, Bafalluy MB, Martinez-Jarreta B, Egyed B, Balitzki B, Tschumi S, Ballard D, Court DS, Barrantes X, Bassler G, Wiest T, Berger B, Niederstatter H, Parson W, Davis C, Budowle B, Burri H, Borer U, Koller C, Carvalho EF, Domingues PM, Chamoun WT, Coble MD, Hill CR, Corach D, Caputo M, D’Amato ME, Davison S, Decorte R, Larmuseau MH, Ottoni C, Rickards O, Lu D, Jiang C, Dobosz T, Jonkisz A, Frank WE, Furac I, Gehrig C, Castella V, Grskovic B, Haas C, Wobst J, Hadzic G, Drobnic K, Honda K, Hou Y, Zhou D, Li Y, Hu S, Chen S, Immel UD, Lessig R, Jakovski Z, Ilievska T, Klann AE, Garcia CC, de Knijff P, Kraaijenbrink T, Kondili A, Miniati P, Vouropoulou M, Kovacevic L, Marjanovic D, Lindner I, Mansour I, Al-Azem M, Andari AE, Marino M, Furfuro S, Locarno L, Martin P, Luque GM, Alonso A, Miranda LS, Moreira H, Mizuno N, Iwashima Y, Neto RS, Nogueira TL, Silva R, Nastainczyk-Wulf M, Edelmann J, Kohl M, Nie S, Wang X, Cheng B, Nunez C, Pancorbo MM, Olofsson JK, Morling N, Onofri V, Tagliabracci A, Pamjav H, Volgyi A, Barany G, Pawlowski R, Maciejewska A, Pelotti S, Pepinski W, Abreu-Glowacka M, Phillips C, Cardenas J, Rey-Gonzalez D, Salas A, Brisighelli F, Capelli C, Toscanini U, Piccinini A, Piglionica M, Baldassarra SL, Ploski R, Konarzewska M, Jastrzebska E, Robino C, Sajantila A, Palo JU, Guevara E, Salvador J, Ungria MC, Rodriguez JJ, Schmidt U, Schlauderer N, Saukko P, Schneider PM, Sirker M, Shin KJ, Oh YN, Skitsa I, Ampati A, Smith TG, Calvit LS, Stenzl V, Capal T, Tillmar A, Nilsson H, Turrina S, De Leo D, Verzeletti A, Cortellini V, Wetton JH, Gwynne GM, Jobling MA, Whittle MR, Sumita DR, Wolanska-Nowak P, Yong RY, Krawczak M, Nothnagel M, Roewer L (2013) A global analysis of Y-chromosomal haplotype diversity for 23 STR loci. Forensic Sci Int 12:12–23CrossRefGoogle Scholar
  13. 13.
    Parolin M, Lamburrini C, Real L, Basso N (2018) Population genetic analysis of 23 Y-STR loci in Central Argentine Patagonia. Int J Legal Med.  https://doi.org/10.1007/s00414-018-1896-3
  14. 14.
    Toscanini U, Vullo C, Berardi G, Llull C, Borosky A, Gomez A, Pardo-Seco J, Salas A (2016) A comprehensive Y-STR portrait of Argentinean populations. Forensic Sci Int 20:1–5CrossRefGoogle Scholar
  15. 15.
    Caputo M, Bobillo MC, Sala A, Corach D (2017) Optimizing direct amplification of forensic commercial kits for STR determination. J Forensic Legal Med 47:17–23.  https://doi.org/10.1016/j.jflm.2017.01.003 CrossRefGoogle Scholar
  16. 16.
    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.  https://doi.org/10.1111/j.1755-0998.2010.02847.x CrossRefGoogle Scholar
  17. 17.
    Peakall RaSPE (2012) GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research - an update. Bioinformatics 28:2537–2539CrossRefGoogle Scholar
  18. 18.
    Pearson K (1895) Notes on Regression and inheritance in the case of two parents. Proc R Soc Lond 58:240–242.  https://doi.org/10.1098/rspl.1895.0041 CrossRefGoogle Scholar
  19. 19.
    Athey TW (2006) Haplogroup prediction from Y-STR values using a Bayesian allele frequency approach. J Genet Geneal 2:34–39Google Scholar
  20. 20.
    Consortium YC (2002) A nomenclature system for the tree of human Y-chromosomal binary haplogroups. Genome Res 12:339–348CrossRefGoogle Scholar
  21. 21.
    Karafet TM, Mendez FL, Meilerman MB, Underhill PA, Zegura SL, Hammer MF (2008) New binary polymorphisms reshape and increase resolution of the human Y chromosomal haplogroup tree. Genome Res 18(5):830–838.  https://doi.org/10.1101/g.7172008 CrossRefGoogle Scholar
  22. 22.
    Cárdenas JM, Heinz T, Pardo-Seco J, Álvarez-Iglesias V, Taboada-Echalar P, Sánchez-Diz P, Carracedo Á, Salas A (2015) The multiethnic ancestry of Bolivians as revealed by the analysis of Y-chromosome markers. Forensic Sci Int Genet 14:210–218.  https://doi.org/10.1016/j.fsigen.2014.10.023 CrossRefGoogle Scholar
  23. 23.
    Guerra DC, Perez CF, Izaguirre MH, Barahona EA, Larralde AR, Lugo MV (2011) Gender differences in ancestral contribution and admixture in Venezuelan populations. Hum Biol 83(3):345–361.  https://doi.org/10.3378/027.083.0302 CrossRefGoogle Scholar
  24. 24.
    Toscanini U, Brisighelli F, Moreno F, Pantoja-Astudillo JA, Morales EA, Bustos P, Pardo-Seco J, Salas A (2016) Analysis of Y-chromosome STRs in Chile confirms an extensive introgression of European male lineages in urban populations. Forensic Sci Int Genet 21:76–80.  https://doi.org/10.1016/j.fsigen.2015.12.005 CrossRefGoogle Scholar
  25. 25.
    Toscanini U, Gaviria A, Pardo-Seco J, Gomez-Carballa A, Moscoso F, Vela M, Cobos S, Lupero A, Zambrano AK, Martinon-Torres F, Carabajo-Marcillo A, Yunga-Leon R, Ugalde-Noritz N, Ordonez-Ugalde A, Salas A (2018) The geographic mosaic of Ecuadorian Y-chromosome ancestry. Forensic Sci Int Genet 33:59–65.  https://doi.org/10.1016/j.fsigen.2017.11.011 CrossRefGoogle Scholar
  26. 26.
    Scientific Working Group on DNA Analysis Methods (2014) Interpretation guidelines for Y-chromosome STR typing, p 9–15. Available at https://www.swgdamorg/
  27. 27.
    Gusmao L, Butler JM, Linacre A, Parson W, Roewer L, Schneider PM, Carracedo A (2017) Revised guidelines for the publication of genetic population data. Forensic Sci Int 30:160–163.  https://doi.org/10.1016/j.fsigen.2017.06.007 CrossRefGoogle Scholar
  28. 28.
    Khubrani YM, Wetton JH, Jobling MA (2018) Extensive geographical and social structure in the paternal lineages of Saudi Arabia revealed by analysis of 27 Y-STRs. Forensic Sci Int Genet 33:98–105.  https://doi.org/10.1016/j.fsigen.2017.11.015 CrossRefGoogle Scholar
  29. 29.
    Muzzio M, Ramallo V, Motti JM, Santos MR, Lopez Camelo JS, Bailliet G (2011) Software for Y-haplogroup predictions: a word of caution. Int J Legal Med 125(1):143–147.  https://doi.org/10.1007/s00414-009-0404-1 CrossRefGoogle Scholar
  30. 30.
    Athey TW (2011) Comments on the article, “Software for Y haplogroup predictions, a word of caution”. Int J Legal Med 125(6):901:903.  https://doi.org/10.1007/s00414-010-0459-z CrossRefGoogle Scholar
  31. 31.
    Petrejcikova E, Carnogurska J, Hronska D, Bernasovska J, Boronova I, Gabrikova D, Bozikova A (2014) Macekova S (2014) Y-SNP analysis versus Y-haplogroup predictor in the Slovak population. Anthropol Anz 71(3):275–285CrossRefGoogle Scholar
  32. 32.
    Caputo M, Bobillo M, Alechine E, Sala A, Corach D. Evaluation of haplogroup predicting softwares. In: DNA in forensics 2012. “Exploring the phylogenies”. 5th EMPOP Meeting. 8th Y-Chromosomal User Workshop., Innsbruck, Sep 06–08. 2012.Google Scholar
  33. 33.
    Roewer L, Nothnagel M, Gusmao L, Gomes V, Gonzalez M, Corach D, Sala A, Alechine E, Palha T, Santos N, Ribeiro-Dos-Santos A, Geppert M, Willuweit S, Nagy M, Zweynert S, Baeta M, Nunez C, Martinez-Jarreta B, Gonzalez-Andrade F, Fagundes de Carvalho E, da Silva DA, Builes JJ, Turbon D, Lopez Parra AM, Arroyo-Pardo E, Toscanini U, Borjas L, Barletta C, Ewart E, Santos S, Krawczak M (2013) Continent-wide decoupling of Y-chromosomal genetic variation from language and geography in native South Americans. PLoS Genet 9(4):e1003460.  https://doi.org/10.1371/journal.pgen.1003460 CrossRefGoogle Scholar
  34. 34.
    Corach D, Marino M, Sala A (2006) Relevant genetic contribution of Amerindian to the extant population of Argentina. Progress in Forensic Genetics 11. Int Congr Ser 1288:130–132CrossRefGoogle Scholar
  35. 35.
    Mesa NR, Mondragon MC, Soto ID, Parra MV, Duque C, Ortiz-Barrientos D, Garcia LF, Velez ID, Bravo ML, Munera JG, Bedoya G, Bortolini MC, Ruiz-Linares A (2000) Autosomal, mtDNA, and Y-chromosome diversity in Amerinds: pre- and post-Columbian patterns of gene flow in South America. Am J Hum Genet 67(5):1277–1286.  https://doi.org/10.1016/S0002-9297(07)62955-3 Google Scholar
  36. 36.
    Wang S, Ray N, Rojas W, Parra MV, Bedoya G, Gallo C, Poletti G, Mazzotti G, Hill K, Hurtado AM, Camrena B, Nicolini H, Klitz W, Barrantes R, Molina JA, Freimer NB, Bortolini MC, Salzano FM, Petzl-Erler ML, Tsuneto LT, Dipierri JE, Alfaro EL, Bailliet G, Bianchi NO, Llop E, Rothhammer F, Excoffier L, Ruiz-Linares A (2008) Geographic patterns of genome admixture in Latin American Mestizos. PLoS Genet 4(3):e1000037CrossRefGoogle Scholar
  37. 37.
    Kirkegaard EOW, Fuerst J (2017) Admixture in Argentina. Mank Q 57(4):542–580Google Scholar
  38. 38.
    Avena S, Via M, Ziv E, Perez-Stable EJ, Gignoux CR, Dejean C, Huntsman S, Torres-Mejia G, Dutil J, Matta JL, Beckman K, Burchard EG, Parolin ML, Goicoechea A, Acreche N, Boquet M, Rios Part Mdel C, Fernandez V, Rey J, Stern MC, Carnese RF, Fejerman L (2012) Heterogeneity in genetic admixture across different regions of Argentina. PLoS One 7(4):e34695.  https://doi.org/10.1371/journal.pone.0034695 CrossRefGoogle Scholar
  39. 39.
    Martinez Marignac VL, Bertoni B, Parra EJ, Bianchi NO (2004) Characterization of admixture in an urban sample from Buenos Aires, Argentina, using uniparentally and biparentally inherited genetic markers. Hum Biol 76(4):543–557CrossRefGoogle Scholar
  40. 40.
    Martínez H, Rodríguez-Larralde A, Izaguirre M, De Guerra D (2007) Admixture estimates for Caracas, Venezuela, based on autosomal, Y-chromosome, and mtDNA markers. Hum Biol 79(2):201–213CrossRefGoogle Scholar
  41. 41.
    Saloum de Neves Manta F, Pereira R, Vianna R, Rodolfo Beuttenmuller de Araujo A, Leite Goes Gitai D, Aparecida da Silva D, de Vargas Wolfgramm E, da Mota Pontes I, Ivan Aguiar J, Ozorio Moraes M, Fagundes de Carvalho E, Gusmao L (2013) Revisiting the genetic ancestry of Brazilians using autosomal AIM-Indels. PLoS One 8(9):e75145.  https://doi.org/10.1371/journal.pone.0075145 CrossRefGoogle Scholar
  42. 42.
    Avena SA, Goicoechea AS, Rey J, Dugoujon JM, Dejean CB, Carnese FR (2006) Gene mixture in a population sample from Buenos Aires City. Medicina 66(2):113–118Google Scholar
  43. 43.
    Garcia A, Dermarchi DA, Tovo-Rodrigues L, Pauro M, Callegari-Jacques SM, Salzano FM, Hutz MH (2015) High interpopulation homogeneity in Central Argentina as assessed by Ancestry Informative Markers (AIMs). Genet Mol Biol 38(3):324–331.  https://doi.org/10.1590/S1415-475738320140260 CrossRefGoogle Scholar
  44. 44.
    Parolin M, Zanetti D, Calò C, Esteban E, Avena S, Carnese F, Moral P (2017) Migrations, admixture and genetic diversity in Central Argentinian Patagonia: analysis of autosomal Alu polymorphisms. BAG J Basic Appl Genet XXVIII((2)):29–42Google Scholar
  45. 45.
    Hammer MF, Chamberlain VF, Kearney VF, Stover D, Zhang G, Karafet T, Walsh B, Redd AJ (2006) Population structure of Y chromosome SNP haplogroups in the United States and forensic implications for constructing Y chromosome STR databases. Forensic Sci Int 164(1):45–55.  https://doi.org/10.1016/j.forsciint.2005.11.013 CrossRefGoogle Scholar
  46. 46.
    (1997) The evaluation of forensic DNA evidence. Proc Natl Acad Sci 94(11):5498–5500.  https://doi.org/10.1073/pnas.94.11.5498
  47. 47.
    Ge J, Budowle B, Planz JV, Eisenberg AJ, Ballantyne J, Chakraborty R (2010) US forensic Y-chromosome short tandem repeats database. Legal Med 12(6):289–295.  https://doi.org/10.1016/j.legalmed.2010.07.006 CrossRefGoogle Scholar
  48. 48.
    Borjas L, Bernal LP, Chiurillo MA, Tovar F, Zabala W, Lander N, Ramirez JL (2008) Usefulness of 12 Y-STRs for forensic genetics evaluation in two populations from Venezuela. Legal Med 10(2):107–112.  https://doi.org/10.1016/j.legalmed.2007.08.005 CrossRefGoogle Scholar
  49. 49.
    Carvalho-Silva DR, Santos FR, Rocha J, Pena SD (2001) The phylogeography of Brazilian Y-chromosome lineages. Am J Hum Genet 68(1):281–286.  https://doi.org/10.1086/316931 CrossRefGoogle Scholar
  50. 50.
    Grattapaglia D, Kalupniek S, Guimaraes CS, Ribeiro MA, Diener PS, Soares CN (2005) Y-chromosome STR haplotype diversity in Brazilian populations. Forensic Sci Int 149(1):99–107.  https://doi.org/10.1016/j.forsciint.2004.06.003 CrossRefGoogle Scholar
  51. 51.
    Barra GB, Chianca CF, Santa Rita TH, Velasco LF, de Souza CF (2014) Haplotype diversity of 23 Y-chromosomal STRs in a population sample from the Federal District (Brazil)--a territory that arose from nothing. Int J Legal Med 128(6):945–947.  https://doi.org/10.1007/s00414-013-0960-2 CrossRefGoogle Scholar
  52. 52.
    Palha T, Gusmao L, Ribeiro-Rodrigues E, Guerreiro JF, Ribeiro-Dos-Santos A, Santos S (2012) Disclosing the genetic structure of Brazil through analysis of male lineages with highly discriminating haplotypes. PLoS One 7(7):e40007.  https://doi.org/10.1371/journal.pone.0040007 CrossRefGoogle Scholar
  53. 53.
    Castillo A, Rueda K, Pico A, Gil A, Vargas C, Rondón F, Gusmão L (2015) Comparing different population groups in Santander—Colombia through Y-STR haplotype analysis. Forensic Sci Int Genet Suppl Ser 5:e482–e483.  https://doi.org/10.1016/j.fsigss.2015.09.191 CrossRefGoogle Scholar
  54. 54.
    Avila J, Briceño I, Gómez A (2009) Genetic population analysis of 17 Y-chromosomal STRs in three states (Valle del Cauca, Cauca and Nariño) from Southwestern Colombia. J Forensic Legal Med 16(4):204–211.  https://doi.org/10.1016/j.jflm.2008.12.002 CrossRefGoogle Scholar
  55. 55.
    Cabana GS, Lewis CM Jr, Tito RY, Covey RA, Caceres AM, Cruz AF, Durand D, Housman G, Hulsey BI, Iannacone GC, Lopez PW, Martinez R, Medina A, Davila OO, Pinto KP, Santillan SI, Dominguez PR, Rubel M, Smith HF, Smith SE, Massa VR, Lizarraga B, Stone AC (2014) Population genetic structure of traditional populations in the Peruvian Central Andes and implications for South American population history. Hum Biol 86(3):147–165.  https://doi.org/10.13110/humanbiology.86.3.0147 CrossRefGoogle Scholar
  56. 56.
    Vullo C, Gomes V, Romanini C, Oliveira AM, Rocabado O, Aquino J, Amorim A, Gusmao L (2015) Association between Y haplogroups and autosomal AIMs reveals intra-population substructure in Bolivian populations. Int J Legal Med 129(4):673–680.  https://doi.org/10.1007/s00414-014-1025-x CrossRefGoogle Scholar
  57. 57.
    Ribeiro J, Romero M, Simao F, Ferreira Almeida AP, Quiroz A, Machado P, Velazquez V, de Carvalho EF, Vullo C, Gusmao L (2018) Analysis of 23 Y-STRs in a population sample from eastern Paraguay. Forensic Sci Int 37:e20–e22.  https://doi.org/10.1016/j.fsigen.2018.08.007 CrossRefGoogle Scholar
  58. 58.
    Andersen MM, Eriksen PS, Morling N (2013) The discrete Laplace exponential family and estimation of Y-STR haplotype frequencies. J Theor Biol 329:39–51.  https://doi.org/10.1016/j.jtbi.2013.03.009 CrossRefGoogle Scholar
  59. 59.
    Andersen MM, Eriksen PS, Morling N (2014) Cluster analysis of European Y-chromosomal STR haplotypes using the discrete Laplace method. Forensic Sci Int 11:182–194.  https://doi.org/10.1016/j.fsigen.2014.03.016 CrossRefGoogle Scholar

Copyright information

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Authors and Affiliations

  1. 1.Facultad de Farmacia y Bioquímica, Departamento de Microbiología, Inmunología y Biotecnología, Cátedra de Genética Forense y Servicio de Huellas Digitales GenéticasUniversidad de Buenos AiresBuenos AiresArgentina
  2. 2.CONICET – Consejo Nacional de Investigaciones Científicas y TecnológicasBuenos AiresArgentina

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