Population data of 17 Y-STR loci from Rio Grande do Sul state (South Brazil).
ABSTRACT A sample of 255 Brazilian males from Rio Grande do Sul (RS), the Brazilian southernmost state, was typed for 17 Y-STR loci (DYS19, DYS389I, DYS389II, DYS390, DYS391, DYS392, DYS393, DYS437, DYS438, DYS439, DYS448, DYS456, DYS458, DYS635, YGATA_H4.1 and DYS385ab). A total of 247 haplotypes were identified, of which 239 were unique and eight were found in two individuals each. The haplotype diversity (99.98%) and discrimination capacity (96.86%) were calculated. Pairwise haplotype distances showed that the RS population is not significantly different from Brazil, Rio de Janeiro, and Argentina, is different from São Paulo, Italy, and North Portugal, and is very distant from Spain, the Amazon region, Germany, and South Amerindians. When the RS data was separated in the seven geopolitical regions, some pairs of regions were significantly different; however no region was different from the whole Brazilian sample.
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ABSTRACT: We have analyzed the specific male genetic component of 226 Bolivians recruited in five different regions (“departments”), La Paz, Cochabamba, Pando, Beni, and Santa Cruz. To evaluate the effect of geography on the distribution of genetic variability, the samples were also grouped into three main eco-geographical regions, namely, Andean, Sub-Andean, and Llanos. All the individuals were genotyped for 17 Y-STR and 32 Y-SNP markers. The average Y-chromosome Native American component in Bolivians is 28%, and it is mainly represented by haplogroup Q1a3a, while the average Y-chromosome European ancestry is 65%, and it is mainly represented by haplogroup R1b1-P25. The data indicate that there exists significant population sub-division in the country in terms of continental ancestry. Thus, the partition of ancestries in Llanos, Sub-Andean, and Andean regions is as follows (respectively): (i) Native American ancestry: 47%, 7%, and 19%, (ii) European ancestry: 46%, 86%, and 75%, and (iii) African ancestry: 7%, 7%, and 6%. The population sub-structure in the country is also well mirrored when inferred from an AMOVA analysis, indicating that among-population variance in the country reaches 9.74–11.15%. This suggests the convenience of using regional datasets for forensic applications in Bolivia, instead of using a global and single country database. By comparing the Y-chromosome patterns with those previously reported on the same individuals on autosomal SNPs and mitochondrial DNA (mtDNA), it becomes clear that Bolivians show a strong gender-bias.Forensic Science International: Genetics 11/2014; · 3.20 Impact Factor
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ABSTRACT: In a large variety of genetic studies, probabilistic inferences are made based on information available in population databases. The accuracy of the estimates based on population samples are highly dependent on the number of chromosomes being analyzed as well as the correct representation of the reference population. For frequency calculations the size of a database is especially critical for haploid markers, and for countries with complex admixture histories it is important to assess possible substructure effects that can influence the coverage of the database. Aiming to establish a representative Brazilian population database for haplotypes based on 23 Y chromosome STRs, more than 2,500 Y chromosomes belonging to Brazilian, European and African populations were analyzed. No matter the differences in the colonization history of the five geopolitical regions that currently exist in Brazil, for the Y chromosome haplotypes of the 23 studied Y-STRs, a lack of genetic heterogeneity was found, together with a predominance of European male lineages in all regions of the country. Therefore, if we do not consider the diverse Native American or Afro-descendent isolates, which are spread through the country, a single Y chromosome haplotype frequency database will adequately represent the urban populations in Brazil. In comparison to the most commonly studied group of 17 Y-STRs, the 23 markers included in this work allowed a high discrimination capacity between haplotypes from non-related individuals within a population and also increased the capacity to discriminate between paternal relatives. Nevertheless, the expected haplotype mutation rate is still not enough to distinguish the Y chromosome profiles of paternally related individuals. Indeed, even for rapidly mutating Y-STRs, a very large number of markers will be necessary to differentiate male lineages from paternal relatives.PLoS ONE 07/2012; 7(7):e40007. · 3.53 Impact Factor
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ABSTRACT: Brazil has a large territory divided in five geographical regions harboring highly diverse populations that resulted from different degrees and modes of admixture between Native Americans, Europeans and Africans. In this study, a sample of 605 unrelated males was genotyped for 17 Y-STRs and 46 Y-SNPs aiming a deep characterization of the male gene pool of Rio de Janeiro and its comparison with other Brazilian populations. High values of Y-STR haplotype diversity (0.9999 ± 0.0001) and Y-SNP haplogroup diversity (0.7589 ± 0.0171) were observed. Population comparisons at both haplotype and haplogroup levels showed significant differences between Brazilian South Eastern and Northern populations that can be explained by differences in the proportion of African and Native American Y chromosomes. Statistical significant differences between admixed urban samples from the five regions of Brazil were not previously detected at haplotype level based on smaller size samples from South East, which emphasizes the importance of sample size to detected population stratification for an accurate interpretation of profile matches in kinship and forensic casework. Although not having an intra-population discrimination power as high as the Y-STRs, the Y-SNPs are more powerful to disclose differences in admixed populations. In this study, the combined analysis of these two types of markers proved to be a good strategy to predict population sub-structure, which should be taken into account when delineating forensic database strategies for Y chromosome haplotypes.Forensic Science International: Genetics 09/2014; · 3.20 Impact Factor