Testing the Ion AmpliSeq™ HID Y-SNP Research Panel v1 for performance and resolution in admixed South Americans of haplogroup Q.

Y haplogroups, defined by Y-SNPs, allow the reconstruction of the human Y chromosome genealogy, which is important for population, evolutionary and forensic genetics. In this study, Y-SNPs were typed and haplogroups inferred with the MPS Ion AmpliSeq™ HID Y-SNP Research Panel v1, as a high-throughput approach. Firstly, the performance of the panel was evaluated with different DNA input amounts, reagent volumes and cycle numbers. DNA-inputs from 0.5 to 1 ng generated the most balanced read depth. Combined with full reagent and 19 cycles, this offered the highest number of amplicons with a sequencing read depth of at least 20 reads. Secondly, the sub-haplogroups of 182 admixed South Americans and Greenlanders belonging to haplogroup Q were inferred and tested for potential improvement in resolution. Most samples were assigned to lineage Q-M3 with some samples assigned to lineages upstream (Q-M346, L56, L57; Q-L331, L53; Q-L54; Q-CTS11969, CTS11970) or parallel (Q-L330, L334; Q-Z780/M971) to Q-M3. Only one sample was assigned to a downstream lineage (Q-Z35615, Z35616). Most individuals of haplogroup Q with NAM ancestry could neither be distinguished from each other, nor from half of the Greenlandic samples. Typing additional, known SNPs within lineage Q-M3, Z19483 and SA05, increased the resolution of predicted haplogroups. The search for novel variants in the sequenced regions allowed the detection of 42 variants and the subdivision of lineage Q-M3 into new subclades. The variants found in six of these subclades were exclusive to certain South American countries. In light of the limited differentiation of haplogroup Q samples, the additional information on known or novel SNPs disclosed in this study when using MPS Ion AmpliSeq™ HID Y-SNP Research Panel v1 should be included in the Yleaf software, to increase the differentiation of lineage Q-M3.

Second GHEP-ISFG exercise for DVI: "DNA-led" victims' identification in a simulated air crash.

The Spanish and Portuguese-Speaking Working Group of the International Society for Forensic Genetics (GHEP-ISFG) has organized a second collaborative exercise on a simulated case of Disaster Victim Identification (DVI), with the participation of eighteen laboratories. The exercise focused on the analysis of a simulated plane crash case of medium-size resulting in 66 victims with varying degrees of fragmentation of the bodies (with commingled remains). As an additional difficulty, this second exercise included 21 related victims belonging to 6 families among the 66 missings to be identified. A total number of 228 post-mortem samples were represented with aSTR and mtDNA profiles, with a proportion of partial aSTR profiles simulating charred remains. To perform the exercise, participants were provided with aSTR and mtDNA data of 51 reference pedigrees -some of which deficient-including 128 donors for identification purposes. The exercise consisted firstly in the comparison of the post-mortem genetic profiles in order to re-associate fragmented remains to the same individual and secondly in the identification of the re-associated remains by comparing aSTR and mtDNA profiles with reference pedigrees using pre-established thresholds to report a positive identification. Regarding the results of the post-mortem samples re-associations, only a small number of discrepancies among participants were detected, all of which were from just a few labs. However, in the identification process by kinship analysis with family references, there were more discrepancies in comparison to the correct results. The identification results of single victims yielded fewer problems than the identification of multiple related victims within the same family groups. Several reasons for the discrepant results were detected: a) the identity/non-identity hypotheses were sometimes wrongly expressed in the likelihood ratio calculations, b) some laboratories failed to use all family references to report the DNA match, c) In families with several related victims, some laboratories firstly identified some victims and then unnecessarily used their genetic information to identify the remaining victims within the family, d) some laboratories did not correctly use "prior odds" values for the Bayesian treatment of the episode for both post-mortem/post-mortem re-associations as well as the ante-mortem/post-mortem comparisons to evaluate the probability of identity. For some of the above reasons, certain laboratories failed to identify some victims. This simulated "DNA-led" identification exercise may help forensic genetic laboratories to gain experience and expertize for DVI or MPI in using genetic data and comparing their own results with the ones in this collaborative exercise.

Functional analysis of six uncharacterised mutations in LDLR gene.

BACKGROUND AND AIMS: Familial hypercholesterolemia (FH) is a primary hyperlipemia. It is an autosomal dominant genetic disorder of lipoproteins metabolism mainly caused by mutations in the low density lipoprotein receptor gene (LDLR). We aimed to investigate the functional impact on the low density lipoprotein receptor (LDLR) activity of six uncharacterised variants located in the coding region of the LDLR gene, namely c.428G > T, c.640T > C, c.1708C > T, c.1736A > T, c.1981C > G and c.2114C > G (NM_000527.4) and to attempt to define their clinical status. METHODS: Functional studies were carried out using site-directed mutagenesis techniques and expression of LDLR protein in vitro. Results were correlated with clinical data and in silico analyses in order to assess the physiopathological role of these variants. RESULTS: This work provides functional information about 6 uncharacterised mutations in LDLR. CONCLUSIONS: The six variants studied here appeared to affect the LDLR function in vitro to different degrees, ranging from receptors with normal to slightly reduced activity to receptors exhibiting less than 10% of the wild-type activity. According to these studies and The American College of Medical Genetics and Genomics (ACMG) Standards and Guidelines, two variants could be classified as "Likely Benign" (p.(Ala705Gly) and p.(Leu570Phe)), three variants as "Pathogenic" (p.(Asp579Val), p.(Cys143Phe) and p.(Trp214Arg)) and one variant as "Likely Pathogenic" (p.(Pro661Ala)).

Genetic admixture patterns in Argentinian Patagonia.

As in other Latin American populations, Argentinians are the result of the admixture amongst different continental groups, mainly from America and Europe, and to a lesser extent from Sub-Saharan Africa. However, it is known that the admixture processes did not occur homogeneously throughout the country. Therefore, considering the importance for anthropological, medical and forensic researches, this study aimed to investigate the population genetic structure of the Argentinian Patagonia, through the analysis of 46 ancestry informative markers, in 433 individuals from five different localities. Overall, in the Patagonian sample, the average individual ancestry was estimated as 35.8% Native American (95% CI: 32.2-39.4%), 62.1% European (58.5-65.7%) and 2.1% African (1.7-2.4%). Comparing the five localities studied, statistically significant differences were observed for the Native American and European contributions, but not for the African ancestry. The admixture results combined with the genealogical information revealed intra-regional variations that are consistent with the different geographic origin of the participants and their ancestors. As expected, a high European ancestry was observed for donors with four grandparents born in Europe (96.8%) or in the Central region of Argentina (85%). In contrast, the Native American ancestry increased when the four grandparents were born in the North (71%) or in the South (61.9%) regions of the country, or even in Chile (60.5%). In summary, our results showed that differences on continental ancestry contribution have different origins in each region in Patagonia, and even in each locality, highlighting the importance of knowing the origin of the participants and their ancestors for the correct interpretation and contextualization of the genetic information.

Estudio genético de hipercolesterolemia familiar en una población hospitalaria de la Ciudad de Buenos Aires / Genetic Testing of Familial Hypercholesterolemia in a Hospital-Based Population of the City of Buenos Aires

RESUMEN: Introducción: La hipercolesterolemia familiar es una hiperlipidemia primaria. Se trata de un trastorno genético autosómico dominante del metabolismo de las lipoproteínas, caracterizado por concentraciones plasmáticas elevadas de colesterol unido a lipoproteínas de baja densidad y presencia de xantomas tendinosos, y está asociado con el desarrollo prematuro de enfermedad cardiovascular. Objetivos: Investigar la presencia de mutaciones en el principal gen asociado al desarrollo de hipercolesterolemia familiar (LDLR) en un grupo de pacientes identificados como "casos índices", de entre aquellos que concurren al Servicio de Lípidos del Hospital Universitario Fundación Favaloro con diagnóstico clínico de hipercolesterolemia familiar. Determinar la composición ancestral de la población estudiada. Material y métodos: Se estudió una población de 38 pacientes con diagnóstico clínico de hipercolesterolemia familiar. La región codificante y las zonas intrónicas adyacentes del gen LDLR se secuenciaron automáticamente por el método de Sanger. Se investigó el componente ancestral de la población estudiada a partir del análisis de 46 marcadores informativos de ancestralidad (AIM-Indel). Resultados: Se identificaron 50 variantes diferentes, de las cuales el 48% se consideraron patogénicas. Se logró establecer una correlación genotipo-gravedad del fenotipo en el 60,5% de los pacientes estudiados. El componente ancestral de la población estudiada fue predominantemente europeo, seguido de un componente nativo-americano y, en menor proporción, africano. Conclusiones: El análisis genético por secuenciación del gen LDLR en pacientes identificados como "casos índices" con diagnóstico clínico de hipercolesterolemia familiar permite correlacionar el dato genético con la gravedad del fenotipo observado clínicamente y efectuar un diagnóstico en cascada en los miembros de la familia que presentan los criterios de inclusión considerados.

ABSTRACT: Background: Familial hypercholesterolemia is a primary hyperlipidemia. It is an autosomal dominant genetic disorder of lipoprotein metabolism, characterized by elevated plasma low-density lipoprotein cholesterol and presence of tendon xanthomas, and is associated with early cardiovascular disease. Objectives: The aim of this study was to investigate the presence of mutations in the main gene associated with the development of familial hypercholesterolemia (LDLR) in a group of patients identified as "index cases" attending the Lipid Clinic of the Hospital Universitario Fundación Favaloro with clinical diagnosis of familial hypercholesterolemia. The ancestral composition of the study population was determined. Methods: We evaluated 38 patients with clinical diagnosis of familial hypercholesterolemia. Mutation screening of the LDLR gene coding regions and adjacent intronic areas was performed using Sanger sequencing. The ancestral component of the study population was investigated using 46 ancestry inference markers (AIM-Indel). Results: Fifty different variants were identified, 48% of which were considered pathogenic. A genotype-phenotype severity correlation was established in 60.5% of the patients evaluated. The ancestral component of the study population was predominantly European, followed by native-American and African in lower proportion. Conclusions: Genetic testing by LDLR gene sequencing in patients identified as "index cases" with clinical diagnosis of familial hypercholesterolemia allows the correlation between the genetic information and the severity of the clinical phenotype to a cascade testing of the family members presenting the inclusion criteria considered.

Investigator® HDplex (Qiagen) reference population database for forensic use in Argentina.

Currently, autosomal Short Tandem Repeat (STR) markers represent the method of election in forensic human identification. Commercial kits of most common use nowadays -e.g. PowerPlex®Fusion, Promega Corp.; AmpFlSTR GlobalFiler, Thermofisher scientific; Investigator 24Plex QS,Qiagen-, allow the co-amplification of 23 highly polymorphic STR loci providing a high discrimination power in human identity testing. However, in complex kinship analysis and familial database searches involving distant relationships, additional DNA typing is often required in order to achieve well-founded conclusions. The recently developed kit Investigator® HDplex (Qiagen) co-amplify twelve autosomal STRs markers (D7S1517, D3S1744, D12S391, D2S1360, D6S474, D4S2366, D8S1132, D5S2500, D18S51, D21S2055, D10S2325, SE33), nine of which are not present in the above mentioned kits, providing a set of efficient supplementary markers for human identification purposes. In this study we genotyped a sample of 980 individuals from urban areas of ten Argentinean provinces using the Investigator® HDplex kit, aiming to provide forensic estimates for use in forensic casework and parentage testing in Argentina. We report reference allelic frequency databases for each of the provinces studied as well as for the combined samples. No deviation of Hardy-Weinberg equilibrium was observed. A reasonable discrimination capacity and power of exclusion was estimated which allowed predicting an acceptable forensic behavior of this kit, either to be used as the main STR panel for simple cases or as an auxiliary tool in complex cases. Additionally, population comparison tests showed that the studied samples are relatively homogeneous across the country for these STR set.

Genomic continuity of Argentinean Mennonites.

Mennonites are Anabaptist communities that originated in Central Europe about 500 years ago. They initially migrated to different European countries, and in the early 18th century they established their first communities in North America, from where they moved to other American regions. We aimed to analyze an Argentinean Mennonite congregation from a genome-wide perspective by way of investigating >580.000 autosomal SNPs. Several analyses show that Argentinean Mennonites have European ancestry without signatures of admixture with other non-European American populations. Among the worldwide datasets used for population comparison, the CEU, which is the best-subrogated Central European population existing in The 1000 Genome Project, is the dataset showing the closest genome affinity to the Mennonites. When compared to other European population samples, the Mennonites show higher inbreeding coefficient values. Argentinean Mennonites show signatures of genetic continuity with no evidence of admixture with Americans of Native American or sub-Saharan African ancestry. Their genome indicates the existence of an increased endogamy compared to other Europeans most likely mirroring their lifestyle that involve small communities and historical consanguineous marriages.

Charting the Y-chromosome ancestry of present-day Argentinean Mennonites.

Old Order Mennonite communities initially arose in Northern Europe (centered in the Netherlands) and derived from the Anabaptist movement of the 16th century. Mennonites migrated to the New World in the early 18th century, first to North America, and more recently to Mesoamerica and South America. We analyzed Y-chromosome short tandem repeats (STRs) and single nucleotide polymorphisms in males from a community of Mennonites, 'La Nueva Esperanza', which arrived to Argentina in 1985 from colonies in Bolivia and Mexico. Molecular diversity indices coupled with demographic simulations show that Mennonites have a reduced variability when compared with local Argentinean populations and 69 European population samples. Mennonite Y-STR haplotypes were mainly observed in Central Europe. In agreement, multidimensional scaling analyses based on RST genetic distances indicate that Mennonite Y-chromosomes are closely related to Central/Northern Europeans (the Netherlands, Switzerland and Denmark). In addition, statistical inferences made on the most likely geographic origin of Y-chromosome haplotypes point more specifically to the Netherlands as the populations that best represent the majority of the Mennonite Y-chromosomes. Overall, Y-chromosome variation of Mennonites shows the signatures of moderate reduction of variability when compared with source populations, which is in good agreement with their lifestyle in small endogamous demes. These genetic singularities could also help to understand disease conditions that are more prevalent among Mennonites.

Analysis of Y-chromosome STRs in Chile confirms an extensive introgression of European male lineages in urban populations.

We analyzed the Y chromosome haplotypes (Yfiler) of 978 non-related Chilean males grouped in five sampling regions (Iquique, Santiago de Chile, Concepción, Temuco and Punta Arenas) covering main geo-political regions. Overall, 803 different haplotypes and 688 singletons were observed. Molecular diversity was moderately lower than in other neighboring countries (e.g. Argentina); and AMOVA analysis on Y-STR haplotypes showed that among variation within Chile accounted for only 0.25% of the total variation. Punta Arenas, in the southern cone, showed the lowest haplotype diversity, and discrimination capacity, and also the highest matching probability of the five Chilean samples, probably reflecting its more marked geographic isolation compared to the other regions. Multidimensional scaling (MDS) analysis based on RST genetic distances suggested a close proximity of Chilean Y-chromosome profiles to European ones. Consistently, haplogroups inferred from Y-STR profiles revealed that the Native American component constituted only 8% of all the haplotypes, and this component ranged from 5% in the Centre of the country to 9-10% in the South and 13% in the North, which is in good agreement with the distribution of Native American communities in these regions. AMOVA computed on inferred haplogroups confirmed the very low among variation observed in Chilean populations. The present project provides the first Chilean dataset to the international Y-chromosome STR Haplotype Reference Database (YHRD) and it is also the first reference database for Y-chromosome forensic casework of the country.

A comprehensive Y-STR portrait of Argentinean populations.

A study of 23 Y-STRs was conducted in 257 individuals living in urban areas from eight Argentinean provinces. The data were meta-analyzed together with 364 profiles obtained from the literature that represent other five provinces. A total of 255 different haplotypes were observed (253 singletons). Genetic structure estimated from analysis of molecular variance (AMOVA) and exploring different grouping scenarios, yielded high within population variance. Not surprisingly, analyses of genetic distances with respect to main ancestral continental populations indicated Argentinean haplotypes to be closely related to European ones. Overall, these results provide a quite complete picture of the patterns of Y chromosome variation in Argentina, notably contributing to increase the previous national database, and consequently allowing a better estimation of parameters of interest in forensic casework and parentage testing.

A reference frequency database of 15 autosomal STRs in Chile.

We estimated the allele frequencies for the 15 autosomal STR loci included in the AmpFlSTR(®) Identifiler (Applied Biosystems, USA) in a sample of 986 unrelated non-Native American individuals collected at five different localities from Chile, namely, Iquique, Santiago, Concepción, Temuco and Punta Arenas. Frequency distributions and several forensic parameters were estimated at each recruitment site. In addition, analyses were carried out merging the data into five sample locations. No significant statistical differences could be detected between different regions in Chile. These data represent one of the very few studies performed on autosomal STRs in Chile and therefore provide a useful tool for forensic casework carried out in the country.

Continent-wide decoupling of Y-chromosomal genetic variation from language and geography in native South Americans.

Numerous studies of human populations in Europe and Asia have revealed a concordance between their extant genetic structure and the prevailing regional pattern of geography and language. For native South Americans, however, such evidence has been lacking so far. Therefore, we examined the relationship between Y-chromosomal genotype on the one hand, and male geographic origin and linguistic affiliation on the other, in the largest study of South American natives to date in terms of sampled individuals and populations. A total of 1,011 individuals, representing 50 tribal populations from 81 settlements, were genotyped for up to 17 short tandem repeat (STR) markers and 16 single nucleotide polymorphisms (Y-SNPs), the latter resolving phylogenetic lineages Q and C. Virtually no structure became apparent for the extant Y-chromosomal genetic variation of South American males that could sensibly be related to their inter-tribal geographic and linguistic relationships. This continent-wide decoupling is consistent with a rapid peopling of the continent followed by long periods of isolation in small groups. Furthermore, for the first time, we identified a distinct geographical cluster of Y-SNP lineages C-M217 (C3*) in South America. Such haplotypes are virtually absent from North and Central America, but occur at high frequency in Asia. Together with the locally confined Y-STR autocorrelation observed in our study as a whole, the available data therefore suggest a late introduction of C3* into South America no more than 6,000 years ago, perhaps via coastal or trans-Pacific routes. Extensive simulations revealed that the observed lack of haplogroup C3* among extant North and Central American natives is only compatible with low levels of migration between the ancestor populations of C3* carriers and non-carriers. In summary, our data highlight the fact that a pronounced correlation between genetic and geographic/cultural structure can only be expected under very specific conditions, most of which are likely not to have been met by the ancestors of native South Americans.

Evaluating methods to correct for population stratification when estimating paternity indexes.

The statistical interpretation of the forensic genetic evidence requires the use of allelic frequency estimates in the reference population for the studied markers. Differences in the genetic make up of the populations can be reflected in statistically different allelic frequency distributions. One can easily figure out that collecting such information for any given population is not always possible. Therefore, alternative approaches are needed in these cases in order to compensate for the lack of information. A number of statistics have been proposed to control for population stratification in paternity testing and forensic casework, Fst correction being the only one recommended by the forensic community. In this study we aimed to evaluate the performance of Fst to correct for population stratification in forensics. By way of simulations, we first tested the dependence of Fst on the relative sizes of the sub-populations, and second, we measured the effect of the Fst corrections on the Paternity Index (PI) values compared to the ones obtained when using the local reference database. The results provide clear-cut evidence that (i) Fst values are strongly dependent on the sampling scheme, and therefore, for most situations it would be almost impossible to estimate real values of Fst; and (ii) Fst corrections might unfairly correct PI values for stratification, suggesting the use of local databases whenever possible to estimate the frequencies of genetic profiles and PI values.

Male lineages in South American native groups: evidence of M19 traveling south.

With this study, we aimed to determine the different male ancestral components of two Native American communities from Argentina, namely Toba and Colla. The analysis of 27 Y-chromosome SNPs allowed us to identify seven different haplogroups in both samples. Chromosomes carrying the M3 mutation, which typically defines the Native American haplogroup Q1a3a, were seen most frequently in the Toba community (90%). Conversely, Q1a3a was represented in 34% of the Colla Y-chromosomes, whereas haplogroup R1b1, the main representative of western European populations, exhibited the highest frequency in this population (41%). Different M3 sublineages in the Toba community could be identified by observing point mutations at both DYS385 and M19 loci. A microvariant at DYS385, named 16.1, has been characterized, which helps to further subdivide Q1a3a. It is the first time the M19 mutated allele is described in a population from Argentina. This finding supports the old age of the lineages carrying the M19 mutation, but it contradicts the previous hypothesis that the M19 mutated allele is confined to only two Equatorial-Tucano population groups from the north region of South America. The detection of M19 further south than previously thought allows questioning of the hypothesis that this lineage serves as an example of isolation after colonization. This observation also affirms the strong genetic drift to which Native Americans have been subjected. Moreover, our study illustrates a heterogeneous contribution of Europeans to these populations and supports previous studies showing that most Native American groups were subjected to European admixture that primarily involved immigrant men.

Population stratification in Argentina strongly influences likelihood ratio estimates in paternity testing as revealed by a simulation-based approach.

A simulation-based analysis was carried out to investigate the potential effects of population substructure in paternity testing in Argentina. The study was performed by evaluating paternity indexes (PI) calculated from different simulated pedigree scenarios and using 15 autosomal short tandem repeats (STRs) from eight Argentinean databases. The results show important statistically significant differences between PI values depending on the dataset employed. These differences are more dramatic when considering Native American versus urban populations. This study also indicates that the use of Fst to correct for the effect of population stratification on PI might be inappropriate because it cannot account for the particularities of single paternity cases.

A GEP-ISFG collaborative study on the optimization of an X-STR decaplex: data on 15 Iberian and Latin American populations.

In a collaborative work carried out by the Spanish and Portuguese ISFG Working Group (GEP-ISFG), a polymerase chain reaction multiplex was optimized in order to type ten X-chromosome short tandem repeats (STRs) in a single reaction, including: DXS8378, DXS9902, DXS7132, DXS9898, DXS6809, DXS6789, DXS7133, GATA172D05, GATA31E08, and DXS7423. Using this X-decaplex, each 17 of the participating laboratories typed a population sample of approximately 200 unrelated individuals (100 males and 100 females). In this work, we report the allele frequencies for the ten X-STRs in 15 samples from Argentina (Buenos Aires, Córdoba, Río Negro, Entre Ríos, and Misiones), Brazil (São Paulo, Rio de Janeiro, Paraná, and Mato Grosso do Sul), Colombia (Antioquia), Costa Rica, Portugal (Northern and Central regions), and Spain (Galicia and Cantabria). Gene diversities were calculated for the ten markers in each population and all values were above 56%. The average diversity per locus varied between 66%, for DXS7133, and 82%, for DXS6809. For this set of STRs, a high discrimination power was obtained in all populations, both in males (> or =1 in 5 x 10(5)) and females (> or =1 in 3 x 10(9)), as well as high mean exclusion chance in father/daughter duos (> or =99.953%) and in father/mother/daughter trios (> or =99.999%). Genetic distance analysis showed no significant differences between northern and central Portugal or between the two Spanish samples from Galicia and Cantabria. Inside Brazil, significant differences were found between Rio de Janeiro and the other three populations, as well as between São Paulo and Paraná. For the five Argentinean samples, significant distances were only observed when comparing Misiones with Entre Ríos and with Río Negro, the only two samples that do not differ significantly from Costa Rica. Antioquia differed from all other samples, except the one from Río Negro.

Y chromosome microsatellite genetic variation in two Native American populations from Argentina: population stratification and mutation data.

Two Native American populations from North and northwest regions of Argentina (Toba and Colla) were analyzed for 17 Y chromosome short tandem repeat loci (Y-STRs), namely, DYS19, DYS389I, DYS389II, DYS390, DYS391, DYS392, DYS393, DYS385, DYS437, DYS438, DYS439, DYS448, DYS456, DYS458, DYS635 and GATA H4.1. Over 357 allele transfers, two one-step mutations could be detected at DYS456 and GATA H4.1 loci. A new 16.1 'micro-variant' allele was observed for DYS385, characterized by an insertion at the fifth GAAA repeat. We also observed two alleles at the DYS448 locus in three samples (two from Toba and one from Colla). A total of 34 and 16 different haplotypes were detected for Toba and Colla, respectively, the former with a haplotype diversity value of 0.9769+/-0.01, whereas 0.9497+/-0.02 for the latter. Significant population differences were observed between Colla and Toba, at least in part, due to a more prevalent European input in the Colla. In agreement with this observation is the fact that the genetic distances between Colla and Iberian populations are lower than those observed between Iberian and any other Native American population. The results of multiscaling dimensional analysis and genetic distances (Rst) among Native American population samples also reflect this fact. The data show the existence of clear population stratification in the Argentina, a fact that should be taken into account in forensic casework.

Testing for genetic structure in different urban Argentinian populations.

Fifteen autosomal short tandem repeat (STR) markers (D3S1358, HUMTH01, D21S11, D18S51, PENTA E, D5S818, D13S317, D7S820, D16S539, CSF1PO, PENTA D, HUMvWA, D8S1179, HUMTPOX, FGA) were analyzed in 1734 individuals living in urban areas of cities from six different Argentinian provinces (Buenos Aires, Neuquén, Tucumán, La Pampa, San Luis, Santa Cruz) in order to determine if a common urban database could be used in Argentina for forensic purposes. Frequencies estimates, Hardy-Weinberg equilibrium (HWE), and other parameters of forensic interest were computed. Comparisons between the six populations, and with published data from one Native American population from Argentina and other urban populations from Argentina and Europe were also performed. Our results reveal evidences for population structure, both when testing for genetic differentiation and when comparing frequencies distributions between different pairs of populations. Therefore, caution should be taken when using a common pooled database with general forensic purposes in Argentina.

Variabilidad genética en 17 microsatélites del Cromosoma Y en dos poblaciones nativas de Argentina (Tobas, Collas) / Genetic Variability in 17 Y-STR loci of a native population from Argentine (Tobas, Collas)

Se analizan 17 marcadores microsatélites del cromosoma Y del tipo Short Tandem Repeats (STRs) (DYS19,DYS3891, DYS38911, DYS390, DYS391, DYS392, DYS393, DYS385, DYS437, DYS438, DYS439, DYS448, DYS456, DYS458, DYS635, y GATA H4)en dos poblaciones nativas de las regiones Norte y Noroeste de la Argentina (Tobas y Collas)(AU)