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Original Article
Analysis of 27 STR markers of the chromosome Y in the population of the jungle from Peru
Análisis de 27 marcadores STR del cromosoma Y en poblaciones de la selva del Perú
Carlos David Neyra-Riveraa,
Corresponding author
carlosdavidmp@outlook.es

Corresponding author.
, Cristian Saul Robles Mamanib, Edgardo Delgado Ramosc, Margarita Rosa Eugenia Velasquez Reinosod, Bruce Budowlee
a Escuela de Posgrado, Universidad Privada Norbert Wiener, Lima, Peru
b Posgrado de Ciencias Biológicas, Universidad Nacional Mayor de San Marcos, Ciudad Universitaria Cercado de Lima, Lima, Peru
c Unidad de Biología Molecular y de Genética, Instituto de Medicina Legal y Ciencias Forenses del Ministerio Público, Lima, Peru
d Facultad de Ciencias Biológicas, Universidad Nacional Mayor de San Marcos, Ciudad Universitaria Cercado de Lima, Lima, Peru
e Department of Forensic Medicine, University of Helsinki, Helsinki, Finland
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Today&#44; however&#44; it is home to great cultural and linguistic diversity&#46;<a class="elsevierStyleCrossRef" href="#bb0010"><span class="elsevierStyleSup">2</span></a></p><p id="p0015" class="elsevierStylePara elsevierViewall">One of the most diverse countries in Latin America is Peru&#46; The Amazon Region or jungle covers about 60&#37; of the Peruvian territory&#46; Its topography is predominantly flat&#46; It is located to the east of the Andes Mountains and forms part of the &#34; Hoya Amaz&#243;nica&#46;&#8221;<a class="elsevierStyleCrossRef" href="#bb0015"><span class="elsevierStyleSup">3</span></a> The National Institute of Statistics and Information indicates that the indigenous population of the Peruvian Amazon is 332&#44;975 inhabitants&#46;<a class="elsevierStyleCrossRef" href="#bb0020"><span class="elsevierStyleSup">4</span></a> There are 13 indigenous linguistic families living in the Amazon&#44; which in turn are grouped into 60 ethnic groups&#46; Of the 13 language families&#44; Arawak comprises the majority of the indigenous population &#40;38&#46;6&#37;&#41; and Tacana the smallest &#40;&#46;2&#37;&#41;&#46;<a class="elsevierStyleCrossRef" href="#bb0020"><span class="elsevierStyleSup">4</span></a> These regions are mostly inhospitable and&#44; because of their culture&#44; do not allow biological samples to be taken&#44; and it is difficult to get them accepted for research studies&#46;</p><p id="p0020" class="elsevierStylePara elsevierViewall">In recent years&#44; studies of autosomal STR markers in Peruvian populations have been appearing&#44; finding studies in mestizo populations&#44;<a class="elsevierStyleCrossRefs" href="#bb0025">5-8</a> a population from the Peruvian jungle&#46;<a class="elsevierStyleCrossRef" href="#bb0045"><span class="elsevierStyleSup">9</span></a> Studies have also focused on some ethnic groups in Peru such as the Aymara<a class="elsevierStyleCrossRef" href="#bb0050"><span class="elsevierStyleSup">10</span></a> and with Y-STR in an Ashaninca &#40;n &#61; 54&#41;<a class="elsevierStyleCrossRef" href="#bb0055"><span class="elsevierStyleSup">11</span></a> and Aymara &#40;n &#61; 90&#41;<a class="elsevierStyleCrossRef" href="#bb0060"><span class="elsevierStyleSup">12</span></a> population with 27 Y-STR and other studies in which 23 Y-STR were analysed in a Chachapoyas &#40;n &#61; 68&#41;&#44; J&#237;baro &#40;n &#61; 23&#41; and Huancas &#40;n &#61; 10&#41;&#44;<a class="elsevierStyleCrossRef" href="#bb0065"><span class="elsevierStyleSup">13</span></a> population&#44; but no studies have been conducted in Peruvian jungle populations with a sample of more than 100 individuals and with 27 Y-STR&#46; For this reason&#44; the study carried out has increased the scientific evidence on the frequency distribution and behaviour of a number of Y-STR polymorphisms of consolidated use in forensic and population genetics in Peruvian populations that have been scarcely studied to date&#46;</p></span><span id="s0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0030">Material and methods</span><span id="s0011" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0031">Samples and experiments</span><p id="p0030" class="elsevierStylePara elsevierViewall">A total of 141 samples were collected from individuals living in the Peruvian jungle on FTA &#40;Copan&#41; cards&#46; Of the total number of samples&#44; 104 came from Iquitos &#40;Department of Loreto&#59; 3&#176;45&#8242;19&#8243;S&#44; 73&#176;14&#8242;57&#8243;W&#41;&#44; 29 from Awajun &#40;Department of Amazonas&#59; 4&#176;34&#8242;59&#8243;S&#44; 77&#176;54 &#8242;0&#8243; W&#41; and 8 from Tambopata &#40;Department of Madre de Dios&#59; 12&#176;40&#39;18&#46;9&#34; S 69&#176;21&#46;328&#39; W&#41; &#40;<a class="elsevierStyleCrossRef" href="#f0005">Fig&#46; 1</a>&#41;&#46; Only 8 individuals were sampled from Tambopata due to the familiarity that existed among its inhabitants&#44; as well as its geographic isolation and difficulties in sampling&#46; The inclusion criteria considered were&#58; that there was no kinship between them&#44; that they were men over 18 years of age and that they were born in the Peruvian jungle &#40;with parents and grandparents from the jungle&#41;&#46; Among the exclusion criteria taken into consideration were that they were immigrants from the coast or highlands of Peru&#44; that they were related through the paternal line&#44; with similar surnames&#44; and that they had received a blood transfusion or bone marrow transplant in the last 6 months&#46; Before participating in the study&#44; individuals freely and voluntarily signed their informed consent&#46;</p><elsevierMultimedia ident="f0005"></elsevierMultimedia><p id="p0035" class="elsevierStylePara elsevierViewall">A 1&#46;2 mm punch was extracted from each card and amplified by direct PCR using the Yfiler&#8482; Plus PCR Amplification Kit &#40;Life Technologies&#41; following the manufacturer&#39;s instructions&#46; The amplified products were analysed using capillary electrophoresis on the AppliedBiosystem&#8482; 3500XL GeneticAnalyzer &#40;Life Technologies&#41; following the manufacturer&#39;s recommended protocol&#46; After capillary electrophoresis&#44; the data were imported into GeneMapper&#174; ID-X v1&#46;5 software to generate genetic profiles&#46; The data were deposited in the database &#40;accession number of the Awajun population&#58; YA005891 and accession number of the Iquitos population&#58; YA004763&#41;&#46;</p></span><span id="s0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0035">Statistical analysis</span><p id="p0040" class="elsevierStylePara elsevierViewall">For the calculation of allele frequencies of the 27 Y-STRs&#44; PowerStats V1&#46;2 software was used on 23 STRs&#59; for the markers DYS385a&#47;b and DYF387S1 the &#34;type&#34; frequencies were calculated by the counting method&#46; Genetic diversity &#40;GD&#41; and haplotype diversity &#40;HD&#41; were calculated with the following formulae GD &#61; &#40;n&#47;n - 1&#41; &#40;1 - &#931;P&#7984;2&#41; and HD &#61; &#40;n&#47;n - 1&#41; &#40;1 - &#931;X&#7984;2&#41;&#44; where P&#7984; is the frequency of the &#7984; allele&#44; n is the number of samples analysed&#44; X&#7984; represents the calculated frequency of the &#7984; haplotype&#46;<a class="elsevierStyleCrossRef" href="#bb0070"><span class="elsevierStyleSup">14</span></a> The probability of a random match &#40;MP&#41; was calculated as MP &#61; &#931;X&#7984;2 and the discriminating ability &#40;DC&#41; was obtained by dividing the number of different haplotypes observed and the total sum of the number of haplotypes identified&#46; The haploid matching probability &#40;HMP&#41; was calculated with the formula HMP &#61; 1 - HD&#46; Analysis of molecular variance &#40;AMOVA&#41; was used to obtain pairwise genetic distance &#40;Rst&#41; values between Y-STR data sets&#46; The Rst values were then used for multidimensional scaling analysis &#40;MDS&#41;&#46; Rst and p-values between different populations were estimated by analysis of molecular variance &#40;AMOVA&#41; and visualised in a multidimensional scaling &#40;MDS&#41; plot &#40;accessed through YHRD&#41;&#46;<a class="elsevierStyleCrossRef" href="#bb0075"><span class="elsevierStyleSup">15</span></a></p></span></span><span id="s0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0040">Results and discussion</span><span id="s0014" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0034">Allelic frequencies&#44; genetic diversity and allelic variation for the jungle population</span><p id="p0050" class="elsevierStylePara elsevierViewall">This study analysed 141 samples of male individuals from the Peruvian jungle population&#46; In all samples&#44; all 27 Y-STRs provided typing results and no null alleles were observed&#46; Allele frequencies &#40;or types&#41; for each locus in the combined dataset are shown in <a class="elsevierStyleCrossRef" href="#t0005">Table 1</a> and <a class="elsevierStyleCrossRef" href="#t0010">Table 2</a>&#46; The DYS391 and DYS437 markers had the lowest number of alleles &#40;3 alleles&#41;&#44; while the DYS385a&#47;b marker had the highest number &#40;25 types&#41;&#46; GD values were between &#46;3169 &#40;DYS437&#41; and &#46;9192 &#40;DYF387S1&#41; and only 5 Y-STR loci had values below &#46;5 &#40;DYS437&#44; DYS391&#44; DYS438&#44; DYS393 and DYS392&#41;&#46; The 3 markers with the highest diversity&#44; based on GD&#44; were DYS449 &#40;&#46;8037&#41;&#44; DYS385a&#47;b &#40;&#46;8250&#41; and DYF387S1 &#40;&#46;9192&#41;&#44; while the lowest diversity was observed for marker DYS437 &#40;&#46;3169&#41;&#46;</p><elsevierMultimedia ident="t0005"></elsevierMultimedia><elsevierMultimedia ident="t0010"></elsevierMultimedia></span><span id="s0016" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0036">Allelic frequencies&#44; genetic diversity and allelic variation for the Iquitos population</span><p id="p0060" class="elsevierStylePara elsevierViewall">A total of 104 samples of male individuals from the Iquitos population were analysed&#46; Allele frequencies &#40;or types&#41; are shown in <a class="elsevierStyleCrossRef" href="#t0005">Table 1</a>&#46; The markers DYS391 and DYS437 had the lowest number of alleles &#40;3 alleles&#41;&#44; while the marker DYF387S1 has the highest number of types &#40;24 types&#41;&#46; GD values were between &#46;231 &#40;DYS635&#41; and &#46;938 &#40;DYF387S1&#41; and 7 Y-STR loci had values below &#46;5 &#40;DYS437&#44; DYS391&#44; DYS393&#44; DYS392&#44; DYS438&#44; DYS533 and DYS460&#41;&#46; The 2 markers with the highest diversity&#44; based on GD&#44; were DYS385a&#47;b &#40;&#46;8738&#41; and DYF387S1 &#40;&#46;9375&#41;&#44; while the lowest diversity was observed for marker DYS635 &#40;&#46;2309&#41;&#46;</p></span><span id="s0017" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0037">Allele frequencies&#44; genetic diversity and allelic variation for the Awajun population</span><p id="p0070" class="elsevierStylePara elsevierViewall">A total of 104 samples of male individuals from the Iquitos population were analysed&#46; Allele frequencies &#40;or types&#41; are shown in <a class="elsevierStyleCrossRef" href="#t0005">Table 1</a>&#46; The markers DYS391 and DYS437 had the lowest number of alleles &#40;3 alleles&#41;&#44; while the marker DYF387S1 has the highest number of types &#40;24 types&#41;&#46; GD values were between &#46;231 &#40;DYS635&#41; and &#46;938 &#40;DYF387S1&#41; and 7 Y-STR loci had values below &#46;5 &#40;DYS437&#44; DYS391&#44; DYS393&#44; DYS392&#44; DYS438&#44; DYS533 and DYS460&#41;&#46; The 2 markers with the highest diversity&#44; based on GD&#44; were DYS385a&#47;b &#40;&#46;8738&#41; and DYF387S1 &#40;&#46;9375&#41;&#44; while the lowest diversity was observed for marker DYS635 &#40;&#46;2309&#41;&#46;</p></span><span id="s0018" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0038">Allelic frequencies&#44; genetic diversity and allelic variation for the Awajun population</span><p id="p0080" class="elsevierStylePara elsevierViewall">Twenty-nine samples of male individuals from the Awajun population were analysed&#46; Allele frequencies are shown in <a class="elsevierStyleCrossRef" href="#t0010">Table 2</a>&#46; The markers DYS635&#44; DYS448 and DYS437 had the lowest number of alleles &#40;one allele&#41;&#44; while the marker DYF387S1 had the highest number of types &#40;6 types&#41;&#46; GD values ranged from &#46;000 &#40;DYS635&#41; to &#46;7094 &#40;DYS449&#41; and 12 Y-STR loci had values below &#46;5 &#40;DYS635&#44; DYS448&#44; DYS437&#44; DYS392&#44; DYS391&#44; DYS576&#44; DYS438&#44; DYS460&#44; DYS389I&#44; DYS394&#44; etc&#46;&#41;&#46; The marker with the highest diversity&#44; based on GD&#44; was DYS449 &#40;&#46;7094&#41;&#44; while the lowest diversity was observed in markers DYS635&#44; DYS448 and DYS437 &#40;&#46;0000&#41;&#46;</p></span><span id="s0019" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0039">Haloptype diversity</span><p id="p0090" class="elsevierStylePara elsevierViewall">Of the total number of samples analysed &#40;n &#61; 141&#41;&#44; 106 distinct haplotypes were identified with HD and CD values of &#46;991 and &#46;752&#44; respectively &#40;<a class="elsevierStyleCrossRef" href="#t0015">Table 3</a>&#41;&#46; In the Iquitos population &#40;n &#61; 104&#41;&#44; 87 distinct haplotypes were observed with HD and CD values of &#46;996 and &#46;837&#44; respectively&#46; In the Awajun population &#40;n &#61; 29&#41;&#44; 18 distinct haplotypes were observed with HD and CD values of &#46;904 and &#46;621&#44; respectively&#46; One haplotype was observed 12 times &#40;9 times in Awajun and 3 times in Iquitos&#41;&#46; Sample collection was designed to avoid obtaining closely related donors&#46; In addition&#44; autosomal STR data in these 12 individuals were evaluated to determine if any were closely related&#46; There was no discernible association indicating that any were first-degree related &#40;data not shown&#41;&#46; These 12 individuals may be related through the paternal line and autosomal STR typing lacks the power to discriminate parent-child or sibling relationships&#46; Alternatively&#44; these individuals may indicate a founder effect and a population substructure to consider&#46;</p><elsevierMultimedia ident="t0015"></elsevierMultimedia></span><span id="s0021" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0021">Population structure for forensic analysis</span><p id="p0100" class="elsevierStylePara elsevierViewall">Using an online tool &#40;<a href="https://site.nevgen.org/nevgen-genealogy-tools-v1-1/">https&#58;&#47;&#47;site&#46;nevgen&#46;org&#47;nevgen-genealogy-tools-v1-1&#47;</a>&#41;&#44; provisional haplogroups &#40;main and most likely clade&#41; were determined for the different haplotypes in the jungle&#46; In the Peruvian jungle population&#44; the majority &#40;91&#46;56&#37;&#41; belonged to haplogroup Q&#44; with the remainder distributed among other haplogroups &#40;&#46;94&#37; - E&#44; G&#44; J and C&#41; and &#40;3&#46;55&#37; R&#41; &#40;<a class="elsevierStyleCrossRef" href="#t0015">Table 3</a>&#41; In the Iquitos population&#44; 9&#46;8&#37; of the haplotypes were assigned to haplogroup Q&#44; 5&#46;8&#37; to haplogroup R and 1&#46;2&#37; were distributed among other haplogroups &#40;E&#44; G&#44; J and C&#41;&#46; In the Awajun population&#44; 94&#46;4&#37; and 5&#46;6&#37; were assigned to haplogroup Q and E&#44; respectively&#46; In the Tambopata population sample&#44; 100&#37; of haplotypes were assigned to haplogroup Q &#40;<a class="elsevierStyleCrossRef" href="#t0015">Table 3</a>&#41;&#46; These data are consistent with haplogroups of indigenous peoples in Latin America&#46;</p></span><span id="s0022" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0022">Genetic distances</span><p id="p0110" class="elsevierStylePara elsevierViewall">Rst values for genetic distances and the MDS plot for the Peruvian rainforest population or its separate samples &#40;Iquitos&#44; Awajun and Tambopata&#41; and the African &#40;South Africa&#41;&#44;<a class="elsevierStyleCrossRef" href="#bb0080"><span class="elsevierStyleSup">16</span></a> Ashaninca &#40;Oxapamapa&#44; Peru&#41;&#44;<a class="elsevierStyleCrossRef" href="#bb0055"><span class="elsevierStyleSup">11</span></a> Aymara &#40;Puno&#44; Peru&#41;&#44;<a class="elsevierStyleCrossRef" href="#bb0060"><span class="elsevierStyleSup">12</span></a><span class="elsevierStyleSup">&#44;</span><a class="elsevierStyleCrossRef" href="#bb0085"><span class="elsevierStyleSup">17</span></a> Chachapoya &#40;Amazonas&#44; Peru&#41;&#44;<a class="elsevierStyleCrossRef" href="#bb0065"><span class="elsevierStyleSup">13</span></a> Chumbivilca &#40;Cuzco&#44; Peru&#41;&#44;<a class="elsevierStyleCrossRef" href="#bb0085"><span class="elsevierStyleSup">17</span></a> Huancas &#40;Jun&#237;n&#44; Peru&#41;&#44;<a class="elsevierStyleCrossRef" href="#bb0065"><span class="elsevierStyleSup">13</span></a> Jivaro &#40;Amazonas&#44; Peru&#41;&#44;<a class="elsevierStyleCrossRef" href="#bb0065"><span class="elsevierStyleSup">13</span></a> Mestizo &#40;Peru&#41;&#44;<a class="elsevierStyleCrossRef" href="#bb0090"><span class="elsevierStyleSup">18</span></a><span class="elsevierStyleSup">&#44;</span><a class="elsevierStyleCrossRef" href="#bb0095"><span class="elsevierStyleSup">19</span></a> Shipibo-Conibo &#40;Ucayali&#44; Peru&#41;&#44;<a class="elsevierStyleCrossRef" href="#bb0085"><span class="elsevierStyleSup">17</span></a> were obtained from YHRD from 17 common Y-STR markers &#40;DYSDYS456&#44; DYS389I&#44; DYS390&#44; DYS389II&#44; DYS458&#44; DYS19&#44; DYS385&#44; DYS393&#44; DYS391&#44; DYS439&#44; DYS635&#44; DYS392&#44; YGATAH4&#44; DYS437&#44; DYS438&#44; DYS448&#41; &#40;<a class="elsevierStyleCrossRef" href="#t0015">Table 3</a> and <a class="elsevierStyleCrossRef" href="#f0010">Fig&#46; 2</a>&#41; The African population &#40;South Africa&#41;<a class="elsevierStyleCrossRef" href="#bb0080"><span class="elsevierStyleSup">16</span></a> was used as an outgroup&#46;</p><elsevierMultimedia ident="f0010"></elsevierMultimedia><p id="p0115" class="elsevierStylePara elsevierViewall">The Rst values were used to generate an UPGMA tree using MEGA 6&#46;06<a class="elsevierStyleCrossRef" href="#bb0100"><span class="elsevierStyleSup">20</span></a> to show population differentiations based on these Y-STR haplogroups&#46; The jungle population was closest to the Awajun and Jivaro &#40;Amazon&#44; Peru&#41; population &#40;<a class="elsevierStyleCrossRef" href="#f0015">Fig&#46; 3</a>&#41;&#46; An Rst value &#8804; &#46;01 was used to identify which populations cluster closely but none was observed&#46; Focusing on the jungle populations&#44; the Awajun population was closer to the J&#237;baro population &#40;Amazonas&#44; Peru&#41; while the Iquitos population was closer to the Shipibo-Conibo population &#40;Ucayali&#44; Peru&#41;&#44; the Chachapoya population &#40;Amazonas&#44; Peru&#41; and the Mestizo population &#40;Peru&#41;&#46; These results suggest that there is a high genetic affinity between these populations&#46; Additionally&#44; the Tambopata population was distant from all the groups analysed &#40;<a class="elsevierStyleCrossRef" href="#f0015">Fig&#46; 3</a>&#41;&#46; The distance of the Tambopata population from the other populations analysed &#40;Awajun and Iquitos&#41; may be due in part to the geographical distance of approximately 1&#44;000 km between the Iquitos and Tambopata populations and the approximately 1&#44;200 km between the Awajun and Tambopata populations&#46; However&#44; with an Rst of &#8804; &#46;05&#44; a cluster &#40;cluster 1&#41; was observed that did not include the jungle populations&#46;</p><elsevierMultimedia ident="f0015"></elsevierMultimedia></span></span><span id="s0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0045">Conclusions</span><p id="p0120" class="elsevierStylePara elsevierViewall">Genetic data are scarce for the populations analysed&#46; Guevara et al&#46;<a class="elsevierStyleCrossRef" href="#bb0065"><span class="elsevierStyleSup">13</span></a> studied populations in the Peruvian jungle and detected haplogroup Q in only 60&#37; of the Chachapoyas population &#40;n &#61; 68&#41;&#44; while in the J&#237;baro &#40;n &#61; 23&#41; and Huancas &#40;n &#61; 10&#41; populations it was present in 96 and 92&#37;&#44; respectively&#44;<a class="elsevierStyleCrossRef" href="#bb0070"><span class="elsevierStyleSup">14</span></a> and in the Ashanincas &#40;Oxapampa&#44; n &#61; 58&#41; haplogroup Q was present in more than 99&#37;<a class="elsevierStyleCrossRef" href="#bb0075"><span class="elsevierStyleSup">15</span></a> In the present study&#44; haplogroup Q was observed in 91&#46;56&#37; of the population&#44; similar to that of the Jivaro&#44; Huancas and Ashaninca populations&#46; This may be due to a common ancestry or the sampling strategy employed&#44; as well as the inclusion criteria&#46;</p><p id="p0125" class="elsevierStylePara elsevierViewall">The 27 Y-STR loci were typed in 141 unrelated male individuals from the Peruvian jungle&#44; providing a more consistent dataset for this population group&#46; The data obtained have been deposited in the YHRD database &#40;Awajun population accession number&#58; YA005891 and Iquitos population accession number&#58; YA004763&#41; with the exception of the Tambopata population sample due to the number of samples collected &#40;n &#61; 8&#41;&#46; These data are more extensive than other data available for the Peruvian jungle population&#46; For example&#44; YRHD &#40;<a href="http://Yhrd.org">Yhrd&#46;org</a>&#41; contains only 5 haplotypes &#40;with the AmpFlSTRYfiler&#8482; PCR Amplification kit&#44; AppliedBiosystems&#8482;&#41; for Iquitos &#40;Loreto&#44; Peru&#41; &#40;archived under accession number YA003823&#41; and no haplotypes for the Awajun and Tambopata populations&#46; Other published studies on Y chromosome data from Peru have a smaller sample size&#44; such as the Aymara &#40;n &#61; 90&#41;&#44;<a class="elsevierStyleCrossRef" href="#bb0060"><span class="elsevierStyleSup">12</span></a> Aguaruna &#40;n &#61; 30&#41;&#44;<a class="elsevierStyleCrossRef" href="#bb0105"><span class="elsevierStyleSup">21</span></a> as well as other South American populations&#44; including the Ticuna of Peru&#44; Brazil &#40;n &#61; 23&#41; and Surui of Brazil &#40;n &#61; 24&#41;&#46;<a class="elsevierStyleCrossRef" href="#bb0110"><span class="elsevierStyleSup">22</span></a> The analyses performed in this research show that the Y-STR haplotypes studied showed high polymorphism in the population analysed and&#44; therefore&#44; are useful in forensic studies for the identification of population groups by paternal lineage&#44; as well as in population genetics when investigating groups or individuals from Latin America&#46;</p></span><span id="s1011" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st1031">Ethical responsibilities</span><p id="p0135" class="elsevierStylePara elsevierViewall">The study was approved by the Ethics Committee of the Institute of Tropical Medicine &#34;Daniel Alcides Carri&#243;n&#34; of the National University of San Marcos &#40;Certificate of Approval CIEI-2018-015&#41;&#46;</p></span><span id="s0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="st0050">Funding</span><p id="p0140" class="elsevierStylePara elsevierViewall">Project financed with resources transferred by the Ministry of Education &#40;MINEDU&#41;&#44; year 2021 through the programme Research and Innovation Projects for the Strengthening of the Research Lines of the Research Groups of the UNMSM - National Policy of Productive Higher Technical Education &#40;PNESTP-MINEDU&#41;&#46;</p></span></span>"
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            1 => "Cromosoma Y"
            2 => "Haplotipos"
          ]
        ]
      ]
    ]
    "tieneResumen" => true
    "resumen" => array:2 [
      "en" => array:2 [
        "titulo" => "Abstract"
        "resumen" => "<span id="as0005" class="elsevierStyleSection elsevierViewall"><p id="sp0110" class="elsevierStyleSimplePara elsevierViewall">Y-chromosome-specific short tandem repeat &#40;Y-STR&#41; markers reside on the non-recombinant portion of the Y chromosome&#44; their inheritance is paternal&#44; they are not detectable in female DNA&#46; These properties make Y-STRs a useful tool in forensic investigations such as sexual assault&#44; parenting&#44; and other violent crimes&#59; likewise they are also useful in genealogical and evolutionary studies&#46; The objective of the research is to expand the scientific evidence of the distribution by region or country of the Y sex chromosome haplotypes&#46; Similar studies in Peruvian populations are scarce due to the smaller number of Y-STR polymorphisms frequently used in Forensic and Population Genetics&#46;</p><p id="sp0115" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">Material and method&#58;</span> In the investigation&#44; 141 DNA samples from the jungle of Peru were analyzed&#44; of which comprised of 104 samples from Iquitos region &#40;Loreto&#41;&#44; 29 samples from Awajun &#40;Amazonas&#41; and 8 samples from Tambopata &#40;Madre de Dios&#41;&#46; The samples were processed using direct PCR with the Yfiler&#8482; Plus PCR Amplification kit for 27 STRs&#44; the amplified products were analyzed by capillary electrophoresis on the Applied Biosystem&#8482; 3500XL Genetic Analyzer&#44; and the data obtained was imported into the GeneMapper&#174; ID-X v1&#46;5 software to generate the genetic profiles&#46; With the results obtained&#44; the statistical analysis and the population structure were carried out&#46;</p><p id="sp0120" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">Results&#58;</span> Of the 141 samples&#44; 106 unique haplotypes were observed&#46; Gene diversities for each Y-STR marker ranged from &#46;317 to &#46;919&#46; The haplotype diversity for the total sample was &#46;9906&#46; This study supports that the Y-STR haplotypes in this population are highly polymorphic in the analyzed population and&#44; therefore&#44; are very useful in forensic studies of human identification&#44; as well as in population genetics when investigating groups or individuals from Latin America&#46;</p></span>"
      ]
      "es" => array:2 [
        "titulo" => "Resumen"
        "resumen" => "<span id="as0010" class="elsevierStyleSection elsevierViewall"><p id="sp0125" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">Introducci&#243;n&#58;</span> Los marcadores de repeticiones cortas en t&#225;ndem del cromosoma Y &#40;Y-STR&#41; se ubican en la regi&#243;n no recombinante del cromosoma Y&#44; su herencia es por v&#237;a paterna&#44; no son detectables en el ADN femenino&#46; Estas propiedades hacen de los Y-STR una herramienta &#250;til en las investigaciones forenses&#44; como las agresiones sexuales&#44; paternidades y otros delitos violentos&#59; asimismo son &#250;tiles en estudios geneal&#243;gicos y evolutivos&#46; El objetivo de la investigaci&#243;n es ampliar la evidencia cient&#237;fica de la distribuci&#243;n por regiones o pa&#237;s de los haplotipos del cromosoma sexual Y&#44; estudios similares en poblaciones peruanas son escasas debido al n&#250;mero menor de polimorfismos Y-STR de uso frecuente en gen&#233;tica forense y de poblaciones&#46;</p><p id="sp0130" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">Material y m&#233;todos&#58;</span> En la investigaci&#243;n se analizaron 141 muestras de ADN de la selva del Per&#250;&#44; de las que 104 muestras corresponden a la regi&#243;n de Iquitos &#40;Loreto&#41;&#44; 29 muestras son Awajun &#40;Amazonas&#41; y 8 muestras de Tambopata &#40;Madre de Dios&#41;&#46; Las muestras fueron procesadas empleando PCR directa con el kit Yfiler&#8482; Plus PCR Amplification para 27 STR&#44; los productos amplificados fueron analizados por electroforesis capilar en el AppliedBiosystem&#8482; 3500XL GeneticAnalyzer y los datos obtenidos se importaron al software GeneMapper&#174; ID-X v1&#46;5 para generar los perfiles gen&#233;ticos&#46; Con los resultados obtenidos se realiz&#243; el an&#225;lisis estad&#237;stico y la estructura poblacional&#46;</p><p id="sp0135" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">Resultados&#58;</span> De las 141 muestras se obtuvieron 106 haplotipos &#250;nicos&#46; La diversidad gen&#233;tica para cada marcador Y-STR estuvo entre 0&#44;317 y 0&#44;919&#46; La diversidad haplot&#237;pica para la muestra total fue de 0&#44;9906&#46; El estudio registra que los haplotipos Y-STR estudiados presentaron elevado polimorfismo en la poblaci&#243;n analizada y&#44; por lo tanto&#44; son de gran utilidad en estudios forenses de identificaci&#243;n humana&#44; as&#237; como en gen&#233;tica de poblaciones cuando se investigan grupos o individuos de Am&#233;rica Latina&#46;</p></span>"
      ]
    ]
    "NotaPie" => array:1 [
      0 => array:2 [
        "etiqueta" => "&#9734;"
        "nota" => "<p class="elsevierStyleNotepara" id="np4005">Please cite this article as&#58; Neyra-Rivera CD&#44; Robles Mamani CS&#44; Delgado Ramos E&#44; et al&#46; An&#225;lisis de 27 marcadores STR del cromosoma Y en poblaciones de la selva del Per&#250;&#46; Revista Espa&#241;ola de Medicina Legal&#46; 2023&#46; <span class="elsevierStyleInterRef" id="ir3005" href="https://doi.org/10.1016/j.reml.2022.10.001">https&#58;&#47;&#47;doi&#46;org&#47;10&#46;1016&#47;j&#46;reml&#46;2022&#46;10&#46;001</span></p>"
      ]
    ]
    "apendice" => array:1 [
      0 => array:1 [
        "seccion" => array:1 [
          0 => array:4 [
            "apendice" => "<p id="p0155" class="elsevierStylePara elsevierViewall"><elsevierMultimedia ident="ec0005"></elsevierMultimedia></p>"
            "etiqueta" => "Appendix A"
            "titulo" => "Supplementary data"
            "identificador" => "s0040"
          ]
        ]
      ]
    ]
    "multimedia" => array:7 [
      0 => array:8 [
        "identificador" => "f0005"
        "etiqueta" => "Figure 1"
        "tipo" => "MULTIMEDIAFIGURA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "figura" => array:1 [
          0 => array:4 [
            "imagen" => "gr1.jpeg"
            "Alto" => 1867
            "Ancho" => 1417
            "Tamanyo" => 189531
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        ]
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "al0005"
            "detalle" => "Figure "
            "rol" => "short"
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="sp0005" class="elsevierStyleSimplePara elsevierViewall">Populations and coordinates of the 141 samples collected&#46; Iquitos &#40;n &#61; 104&#59; Loreto&#44; 3&#176;45&#8242;19&#8243;S&#44; 73&#176;14&#8242;57&#8243;W&#41;&#44; Awajun&#44; &#40;n &#61; 29&#59; Amazonas&#44; 4&#176;34&#8242;59&#8243;S&#44; 77&#176;54&#8242;0&#8243; W&#41; and Tambopata &#40;n &#61; 8&#59; Madre de Dios&#44; 12&#176;40&#8242;18&#46;9&#8243; S 69&#176;21&#46;328&#8242; W&#41;&#46;</p>"
        ]
      ]
      1 => array:8 [
        "identificador" => "f0010"
        "etiqueta" => "Figure 2"
        "tipo" => "MULTIMEDIAFIGURA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "figura" => array:1 [
          0 => array:4 [
            "imagen" => "gr2.jpeg"
            "Alto" => 2379
            "Ancho" => 768
            "Tamanyo" => 59473
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        ]
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "al0010"
            "detalle" => "Figure "
            "rol" => "short"
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="sp0010" class="elsevierStyleSimplePara elsevierViewall">PGMA tree based on 17 common Y-STR markers in the 13 populations based on the estimated genetic distance values&#46;</p>"
        ]
      ]
      2 => array:8 [
        "identificador" => "f0015"
        "etiqueta" => "Figure 3"
        "tipo" => "MULTIMEDIAFIGURA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "figura" => array:1 [
          0 => array:4 [
            "imagen" => "gr3.jpeg"
            "Alto" => 1375
            "Ancho" => 1358
            "Tamanyo" => 70775
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        ]
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "al0015"
            "detalle" => "Figure "
            "rol" => "short"
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="sp0015" class="elsevierStyleSimplePara elsevierViewall">Multidimensional scaling analysis &#40;MDS&#41; of the Peruvian jungle population &#40;Jungle&#41; &#40;n &#61; 141&#41;&#44; Iquitos population &#40;n &#61; 104&#41;&#44; Awajun population &#40;n &#61; 29&#41;&#44; Tambopata population &#40;n &#61; 8&#41; and 9 other reference populations&#46; South Africa &#40;&#91;African&#93; n &#61; 183&#41;a&#44; Oxapampa&#44; Peru &#40;&#91;Ashaninka&#93; n &#61; 57&#41;b&#44; Puno&#44; Peru &#40;&#91;Aymara&#93; n &#61; 90&#41;c&#44; d&#44; Amazonas&#44; Peru &#40;&#91;Chachapoya&#93; n &#61; 106&#41;e&#44; Cuzco&#44; Peru &#40;&#91;Chumbivilca&#93; n &#61; 10&#41;f&#44; Jun&#237;n&#44; Peru &#40;&#91;Huanca&#93; n &#61; 13&#41;g&#44; Amazonas&#44; Peru &#40;&#91;Jivaro&#93; n &#61; 21&#41;h&#44; Peru &#40;&#91;Mestizo&#93; n &#61; 218&#41;i&#44; Ucayali&#44; Peru &#40;&#91;Shipibo-Conibo&#93; n &#61; 21&#41;j deposited in YHRD&#46;</p> <p id="sp0020" class="elsevierStyleSimplePara elsevierViewall">Accession numbers&#58;</p> <p id="sp0025" class="elsevierStyleSimplePara elsevierViewall">a&#58; YA004588</p> <p id="sp0030" class="elsevierStyleSimplePara elsevierViewall">b&#58; YA005583</p> <p id="sp0035" class="elsevierStyleSimplePara elsevierViewall">c&#58; YA003824</p> <p id="sp0040" class="elsevierStyleSimplePara elsevierViewall">d&#58; YA004703</p> <p id="sp0045" class="elsevierStyleSimplePara elsevierViewall">e&#58; YA004108</p> <p id="sp0050" class="elsevierStyleSimplePara elsevierViewall">f&#58; YA003820</p> <p id="sp0055" class="elsevierStyleSimplePara elsevierViewall">g&#58; YA003822</p> <p id="sp0060" class="elsevierStyleSimplePara elsevierViewall">h&#58; YA005058</p> <p id="sp0065" class="elsevierStyleSimplePara elsevierViewall">i&#58; YP000325</p> <p id="sp0070" class="elsevierStyleSimplePara elsevierViewall">j&#58; YA003825&#46;</p>"
        ]
      ]
      3 => array:8 [
        "identificador" => "t0005"
        "etiqueta" => "Table 1"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "al0020"
            "detalle" => "Table "
            "rol" => "short"
          ]
        ]
        "tabla" => array:2 [
          "leyenda" => "<p id="sp0080" class="elsevierStyleSimplePara elsevierViewall">Na&#58; number of alleles&#184; GD&#58; genetic diversity&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Empty Cell&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">DYS576&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">DYS389I&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">DYS635&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">DYS389II&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">DYS627&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">DYS460&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">DYS458&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">DYS19&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">YGATAH4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">DYS448&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">DYS391&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">DYS456&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">DYS390&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">DYS438&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">DYS392&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">DYS518&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">DYS570&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">DYS437&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">DYS449&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">DYS393&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">DYS439&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">DYS481&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">DYS533&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">9</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">00142&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  """
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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          "leyenda" => "<p id="sp0100" class="elsevierStyleSimplePara elsevierViewall">With Rst &#46;01 no clusters were obtained&#46;</p><p id="sp0105" class="elsevierStyleSimplePara elsevierViewall">With Rst &#46;05 a cluster was obtained&#46; Cluster 1&#58; Cuzco&#44; Peru &#40;Chumbivilca&#41;&#59; Puno&#44; Peru &#40;Aymara&#41;&#59; Jun&#237;n&#44; Peru &#40;Huanca&#41;&#46;</p>"
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                  <table border="0" frame="\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Empty Cell&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Jungle population of Peru &#40;n &#61; 110&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Awajunpopulation &#40;n &#61; 18&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Iquitospopulation &#40;n &#61; 87&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Tambopatapopulation &#40;n &#61; 5&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">South Africa &#91;African&#93; &#40;n &#61; 183&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Oxapampa&#44; Peru &#91;Ashaninka&#93;&#40;n &#61; 57&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Puno&#44; Peru &#91;Aymara&#93; &#40;n &#61; 90&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Amazons&#44; Peru &#91;Chachapoya&#93; &#40;n &#61; 106&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Cuzco&#44; Peru &#91;Chumbivilca&#93; &#40;n &#61; 10&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Jun&#237;n&#44; Peru &#91;Huanca&#93; &#40;n &#61; 13&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Amazons&#44; Peru &#91;Jivaro&#93; &#40;n &#61; 21&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Peru &#91;Mestizo&#93; &#40;n &#61; 218&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Ucayali&#44; Peru &#91;Shipibo-Conibo&#93; &#40;n &#61; 21&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">Jungle population of Peru &#40;n &#61; 110&#41;</span></td><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&#46;0309&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#46;9029&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#46;0011&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&#46;0970&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&#46;0000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&#46;0000&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">Awajun population &#40;n &#61; 18&#41;</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#46;0402&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&#46;0032&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&#46;0027&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&#46;0000&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&#46;0017&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&#46;0068&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&#46;0909&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&#46;0002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&#46;0002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">Iquitos population &#40;n &#61; 87&#41;</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&#46;0058&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&#46;0718&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&#46;0005&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&#46;0000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&#46;0003&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&#46;0000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&#46;0001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&#46;0000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t">&#46;0002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#46;0791&nbsp;\t\t\t\t\t\t\n
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          "en" => "<p id="sp0095" class="elsevierStyleSimplePara elsevierViewall">Pairwise genetic distance value estimates &#40;below the diagonal&#41; and corresponding p-value &#40;above the diagonal&#41; for the jungle population&#44; Awajun population&#44; Iquitos population and Tambopata population of Peru and 9 reference population data&#46;</p>"
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Article information
ISSN: 24454249
Original language: English
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