DNA mixtures are frequently encountered in forensic casework especially in cases of sexual assault. When evidence is recovered, the sample may have come from multiple contributors in different proportions. The first part of this study examines the fidelity of contributor proportions by using the residual to analyze known mixture samples. The coefficient of determination between the expected and observed proportions was also determined and used to assess the fidelity of mixture proportions. The second part of this study involved separating major and minor contributors in a mixture by characterizing the observed proportions. Results for the 2-person mixture show that as the mass of amplified DNA decreases, the number of allele dropouts increases. Furthermore, as mass decreases, the level of variation between the expected and observed proportions increases, as determined by the residuals and the coefficients of determination. In addition, as mixture proportions become more disparate the amount of variations between the expected and observed proportions are not as great as the mass. For the 3-person mixtures, as mass decreases, the residuals increase. Also, when the coefficient of determination of the 3-person mixtures were compared to those obtained with the 2-person mixtures, it was determined that the R2 were larger for the former. This was a result of higher total amplification masses. In mixture 1:2/2:1, major and minor proportions are not distinguishable In mixture 1:4/4:1, major and minor proportions can be distinguished at 1 ng. In mixture 1:9/9:1, proportions are distinguishable at 1, and 0.5 ng. Mixtures could not be distinguished at the 0.25 ng level, despite proportion and is the result of the increase in variation with decreasing mass.

Made available in DSpace on 2014-06-12T18:03:38Z (GMT). No. of bitstreams: 2 arquivo3714_1.pdf: 874379 bytes, checksum: 1a27595bb5f2f12e52d96545dd1b301b (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2008 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / A definição das taxas de mutação dos locos de microssatélites ou Short Tandem Repeats (STRs) usados em análises forenses são úteis para a correta interpretação dos resultados dos perfis genéticos e para a definição dos critérios de exclusão em testes de paternidade. Mutações da linhagem germinativa de 14 locos de STRs foram estudadas através das análises de 54.105 transferências alélicas genitorcriança a partir de 2.575 casos de testes de paternidade realizados durante 2000- 2007 na população de Pernambuco, Nordeste do Brasil. O parentesco, em cada um desses casos, foi altamente validado (probabilidade > 99.99%). Foram identificadas 43 mutações em 12 locos. As taxas de mutação específicas para cada loco variaram entre 2 x 10-4 e 2 x 10-3, e a taxa de mutação total foi estimada em 8 x 10-4. Eventos de mutação na linhagem germinativa masculina foram mais freqüentes do que na feminina. A maioria das mutações (95%) pode ser explicada pela perda ou ganho de uma unidade repetitiva e não houve evidência para seleção entre mutações de adição ou deleção. Nossos dados foram comparados aos dados referentes a populações americanas e européias e demonstraram que as taxas de mutação dos locos de STRs não diferem entre as diferentes populações

Submitted by Ana Maria Fiscina Sampaio (fiscina@bahia.fiocruz.br) on 2012-07-16T21:36:49Z No. of bitstreams: 1 Enio Paulo Estimativa de mistura étnica avaliada por Marcadores Informativos de.pdf: 352598 bytes, checksum: 7d448dc54afe1ec271f59fc912275f41 (MD5) / Made available in DSpace on 2012-07-16T21:36:49Z (GMT). No. of bitstreams: 1 Enio Paulo Estimativa de mistura étnica avaliada por Marcadores Informativos de.pdf: 352598 bytes, checksum: 7d448dc54afe1ec271f59fc912275f41 (MD5) Previous issue date: 2010 / Fundação Oswaldo Cruz. Centro de Pesquisas Gonçalo Moniz. Salvador, Bahia, Brasil / A miscigenação entre os três principais grupos étnicos (ameríndios, europeus e africanos) originou a alta diversidade genética da população brasileira. Na Bahia a proporção de afrodescendentes é de 77,5%, sendo que em Salvador 79,8% se auto-denominam negros ou pardos. Poucos estudos descrevem a diversidade genética da população baiana e a contribuição de cada grupo étnico na sua formação. Diversos marcadores de DNA são atualmente utilizados para estimar mistura étnica em populações miscigenadas. Estes marcadores são denominados alelos específicos de população (PSAs) ou marcadores informativos de ancestralidade (AIMs) e apresentam alelos com grandes diferenciais de freqüência, superiores a 30%, entre populações geográfica ou etnicamente definidas. Os microssatélites (STRs) são variantes genéticos úteis no mapeamento genético de espécies, na identificação de pessoas, mapeamento genético e análise de populações. Alguns STRs apresentam alelos com freqüências marcantes em determinados grupos populacionais. Com objetivo de comparar a ancestralidade genomica avaliada com dois tipos de marcadores, foram estudados 8 microssatélites STRs autossômicos (TH01, vWA31, D18S51, FGA, TPOX, D7S820, D3S1358, D8S1179) e 9 AIMs (FY-Null, LPL, AT3-I/D, Sb19.3, APO, PV92, CYP3A4, CKMM, GC-1F e GC-1S), em 203 indivíduos miscigenados da Bahia. A genotipagem foi realizada por PCR (Polimerase Chain Reaction), para deleções, inserções e para os microssatélites e PCR quantitativo em tempo real para mutações pontuais. As contribuições africana, européia e ameríndia observadas foram respectivamente 33,5%, 58,6% e 7,9% para os STRs e 45,08%, 45,16% e 9,75% para os AIMs, comprovando a miscigenação da população. O Índice Kappa, mostrou que a concordância entre as estimativas de ancestralidade utilizando os dois tipos de marcadores (AIMs e STRs), foi muito baixa (kappa = 0,12). Foi observada associação entre sobrenome de conotação religiosa e ancestralidade africana / The mixing between the three main ethnic groups (Amerindians, Europeans and Africans) produced a high genetic diversity of the braziliam population. In Bahia, the proportion of African descent that call themselves black or brown is 77.5% and 79.8% in Salvador. Few studies describe the genetic diversity of the population of Bahia and the contribution of each ethnic group in its formation. Several DNA markers are currently used to estimate ethnic mix in admixed populations. These markers are called alleles specific population (PSAs) or ancestry informative markers (AIMs) and carry alleles with large differences in frequency above 30% between populations geographically or ethnically defined. Microsatellites (STRs) are useful genetic variants in the genetic mapping of species, identification of persons, genetic mapping and analysis of populations. Some STRs have alleles with frequencies marked in certain population groups. To compare the ancestry genomica evaluated with two types of markers were studied 8 microsatellite autosomal STRs (TH01, vWA31, D18S51, FGA, TPOX, D7S820, D3S1358, D8S1179) and 9 AIMs (FY-Null, LPL, AT3-I /D, Sb19.3, APO, PV92, CYP3A4, CK-MM, GC and GC-1F-1S) in 203 subjects with mixed Bahia. Genotyping was performed by PCR (Polymerase Chain Reaction), for deletions, insertions and for microsatellite and quantitative PCR in real time for mutations. The contributions of African, European and Amerindian observed were respectively 33.5%, 58.6% and 7.9% for the STRs and 45.08%, 45.16% and 9.75% for the AIMs, proving the mixing of population. The Kappa index showed that the correlation between the estimates of ancestry using both types of markers (AIMs and STRs), was very low (kappa = 0.12). Association was found between devotional surnames and African ancestry.

Microsatellites are short (1-6bp long) highly polymorphic tandem repeats, found in all genomes analyzed so far. Popular genetic markers for many applications including population genetics, pedigree analysis, genetic mapping and linkage analysis, some microsatellites also can cause a variety of human neurodegenerative diseases and may act as agents of adaptive evolution through the regulation of gene expression. As a consequence of these diverse uses and functions, the mutational and evolutionary dynamics of microsatellite sequences have gained much attention in recent years. Mostly, the focus of studies investigating microsatellite evolution has been to develop more refined evolutionary models for estimating parameters such as genetic distance or linkage disequilibrium. However, there is an incentive in using our understanding of the evolutionary processes that affect these sequences to examine the functional implications of microsatellite evolution. What has emerged from nearly two decades of study are highly complex mutational dynamics, with mutation rates varying across species, loci and alleles, and a multitude of potential influences on these rates, most of which are not yet fully understood. The increasing availability of whole genome sequences has immensely extended the scope for studying microsatellite evolution. For example, where once it was common to examine single loci, it is now possible to examine microsatellites using genome wide approaches. In the first part of my dissertation I discuss approaches and issues associated with detecting microsatellites in genomic data. In Chapter 2 I undertook a meta-analysis of studies investigating the distribution of microsatellites in yeast and showed that studies comparing the distribution of microsatellites in genomic data can be fraught due to the application of different definitions for microsatellites by different investigators. In particular, I found that variation in how investigators choose the repeat unit size of a microsatellite, handle imperfections in the array and especially the choice of minimum array length used, leads to a large divergence in results and can distort the conclusions drawn from such studies, particularly where inter-specific comparisons are being made. In a review of the currently available suite of bioinformatics tools (Chapter 3), I further showed that this bias extends beyond a solely theoretical controversy into a methodological issue because most software tools not only incorporate different definitions for the key parameters used to define microsatellites, but also employ different strategies to search and filter for microsatellites in genomic data. In this chapter I provide an overview of the available tools and a practical guide to help other researchers choose the appropriate tool for their research purpose. In the second part of my thesis, I use the analytical framework developed from the previous chapters to explore the biological significance of microsatellites exploiting the well annotated genome of the model organism Saccharomyces cerevisiae (baker’s yeast). Several studies in different organisms have indicated spatial associations between microsatellites and individual genomic features, such as transposable elements, recombinational hotspots, GC-content or local substitution rate. In Chapter 4, I summarized these studies and tested some of the underlying hypotheses on microsatellite distribution in the yeast genome using Generalized Linear Models (GLM) and wavelet transformation. I found that microsatellite type and distribution within the genome is strongly governed by local sequence composition and negative selection in coding regions, and that microsatellite frequency is inversely correlated with SNP density reflecting the stabilizing effect point mutations have on microsatellites. Microsatellites may also be markers for recent genome modifications, due to their depletion in regions nearby LTR transposons, and elements of potential structural importance, since I found associations with features such as meiotic double strand breaks, regulatory sites and nucleosomes. Microsatellites are subject to local genomic influences, particularly on small (1-2kb) scales. Although, these local scale influences might not be as dominant as other factors on a genome-wide scale they are certainly of importance with respect to individual loci. Analysis of locus conservation across 40 related yeast strains (Chapter 5) showed no bias in the type of microsatellites conserved, only a negative influence of coding sequences, which supports again the idea that microsatellites evolve neutrally. Polymorphism was rare, and despite a positive correlation with array length, there was no relationship with either genomic fraction or repeat size. However, the analysis also revealed a non-random distribution of microsatellites in genes of functionally distinct groups. For example, conserved microsatellites (similar to general microsatellites in yeast) are mostly found in genes associated with the regulation of biological and cellular processes. Polymorphic loci show further an association with the organization and biogenesis of cellular components, morphogenesis, development of anatomical structures and pheromone response, which, is absent for monomorphic loci. Whether this distribution is an indication of functionality or simply neutral mutation (e.g. genetic hitch-hiking) is debatable since most conserved microsatellites, particularly variable loci, are located within genes that show low selective constraints. Overall, microsatellites appear as neutrally evolving sequences, but owing to the sheer number of loci within a single genome, individual loci may well acquire some functionality. More work is definitely needed in this area, particularly experimental studies, such as reporter-gene expression assays, to confirm phenotypic effects.

Microsatellites are short (1-6bp long) highly polymorphic tandem repeats, found in all genomes analyzed so far. Popular genetic markers for many applications including population genetics, pedigree analysis, genetic mapping and linkage analysis, some microsatellites also can cause a variety of human neurodegenerative diseases and may act as agents of adaptive evolution through the regulation of gene expression. As a consequence of these diverse uses and functions, the mutational and evolutionary dynamics of microsatellite sequences have gained much attention in recent years. Mostly, the focus of studies investigating microsatellite evolution has been to develop more refined evolutionary models for estimating parameters such as genetic distance or linkage disequilibrium. However, there is an incentive in using our understanding of the evolutionary processes that affect these sequences to examine the functional implications of microsatellite evolution. What has emerged from nearly two decades of study are highly complex mutational dynamics, with mutation rates varying across species, loci and alleles, and a multitude of potential influences on these rates, most of which are not yet fully understood. The increasing availability of whole genome sequences has immensely extended the scope for studying microsatellite evolution. For example, where once it was common to examine single loci, it is now possible to examine microsatellites using genome wide approaches. In the first part of my dissertation I discuss approaches and issues associated with detecting microsatellites in genomic data. In Chapter 2 I undertook a meta-analysis of studies investigating the distribution of microsatellites in yeast and showed that studies comparing the distribution of microsatellites in genomic data can be fraught due to the application of different definitions for microsatellites by different investigators. In particular, I found that variation in how investigators choose the repeat unit size of a microsatellite, handle imperfections in the array and especially the choice of minimum array length used, leads to a large divergence in results and can distort the conclusions drawn from such studies, particularly where inter-specific comparisons are being made. In a review of the currently available suite of bioinformatics tools (Chapter 3), I further showed that this bias extends beyond a solely theoretical controversy into a methodological issue because most software tools not only incorporate different definitions for the key parameters used to define microsatellites, but also employ different strategies to search and filter for microsatellites in genomic data. In this chapter I provide an overview of the available tools and a practical guide to help other researchers choose the appropriate tool for their research purpose. In the second part of my thesis, I use the analytical framework developed from the previous chapters to explore the biological significance of microsatellites exploiting the well annotated genome of the model organism Saccharomyces cerevisiae (baker’s yeast). Several studies in different organisms have indicated spatial associations between microsatellites and individual genomic features, such as transposable elements, recombinational hotspots, GC-content or local substitution rate. In Chapter 4, I summarized these studies and tested some of the underlying hypotheses on microsatellite distribution in the yeast genome using Generalized Linear Models (GLM) and wavelet transformation. I found that microsatellite type and distribution within the genome is strongly governed by local sequence composition and negative selection in coding regions, and that microsatellite frequency is inversely correlated with SNP density reflecting the stabilizing effect point mutations have on microsatellites. Microsatellites may also be markers for recent genome modifications, due to their depletion in regions nearby LTR transposons, and elements of potential structural importance, since I found associations with features such as meiotic double strand breaks, regulatory sites and nucleosomes. Microsatellites are subject to local genomic influences, particularly on small (1-2kb) scales. Although, these local scale influences might not be as dominant as other factors on a genome-wide scale they are certainly of importance with respect to individual loci. Analysis of locus conservation across 40 related yeast strains (Chapter 5) showed no bias in the type of microsatellites conserved, only a negative influence of coding sequences, which supports again the idea that microsatellites evolve neutrally. Polymorphism was rare, and despite a positive correlation with array length, there was no relationship with either genomic fraction or repeat size. However, the analysis also revealed a non-random distribution of microsatellites in genes of functionally distinct groups. For example, conserved microsatellites (similar to general microsatellites in yeast) are mostly found in genes associated with the regulation of biological and cellular processes. Polymorphic loci show further an association with the organization and biogenesis of cellular components, morphogenesis, development of anatomical structures and pheromone response, which, is absent for monomorphic loci. Whether this distribution is an indication of functionality or simply neutral mutation (e.g. genetic hitch-hiking) is debatable since most conserved microsatellites, particularly variable loci, are located within genes that show low selective constraints. Overall, microsatellites appear as neutrally evolving sequences, but owing to the sheer number of loci within a single genome, individual loci may well acquire some functionality. More work is definitely needed in this area, particularly experimental studies, such as reporter-gene expression assays, to confirm phenotypic effects.

A genética forense vem se desenvolvendo cada vez mais, com novas tecnologias e implementação de novos conjuntos de marcadores de DNA com maiores níveis de informatividade. Os marcadores genéticos são amplamente usados na identificação humana, pois permitem distinguir indivíduos com alta acurácia. Duas classes de marcadores muito utilizadas atualmente são os STRs (Short Tandem Repeats) e os SNPs (Single Nucleotide Polymorphisms). Os STRs são altamente informativos e, portanto, úteis para a prática forense. Kits mais novos como GlobalFiler (Thermo Fisher Scientific) e PowerPlex Fusion System (Promega) apresentam a análise de mais de 20 loci STRs de uma só vez. Já os SNPs, por possuírem sua informatividade mais reduzida (necessita de mais loci analisados), são menos utilizados, porém apresentam vantagem em amostras degradadas de DNA; assim, conjuntos de identificação como o 52-plex desenvolvido pelo consórcio SNPforID e o conjunto IISNPs, vêm sendo estudados em várias populações do mundo. Com o desenvolvimento de técnicas de sequenciamento de nova geração (NGS Next Generation Sequencing) para análise de DNA, a obtenção de perfis de DNA se tornou mais acurada. Algumas plataformas permitem gerar perfis de até 96 indivíduos simultaneamente. Este estudo tem por objetivo principal analisar 171 marcadores genéticos (Amelogenina, Y-INDEL, 30 STRSs e 139 SNPs) em 340 indivíduos miscigenados da região da cidade de Ribeirão Preto (SP) utilizando a plataforma de sequenciamento de nova geração MiSeq Personal Sequencer (Illumina Inc.), bem como calcular as frequências alélicas e genotípicas, verificar a aderência ao equilíbrio de HardyWeinberg e estimar parâmetros forenses para os diferentes conjuntos de marcadores. Análises de ancestralidade foram realizadas para os conjuntos de SNPs. Para o preparo das bibliotecas de amostras a serem sequenciadas, foi utilizado o kit HaloPlex (Agilent Technologies, Inc), onde foram incluídos os marcadores dos kits GlobalFiler e PowerPlex Fusion System, e os SNPs existentes no conjunto do consórcio SNPforID (52-plex) e IISNPs (92 SNPs). De todos os marcadores incluídos no ensaio, apenas um SNP (rs763869) presente no conjunto SNPforID não pôde ser analisado devido a questões técnicas. Dos 139 SNPs analisados apenas seis apresentaram desvios significativos em relação ao equilíbrio de Hardy-Weinberg,número este esperado devido ao acaso. Os conjuntos de SNPs apresentam elevada informatividade com Probabilidade de Match de 6,48 x 10-21 (52-plex) a 4,91 x 10-38 (IISNP), e Poder de Exclusão de 0,9997 (52-plex) e 0,99999997 (IISNP). De modo geral, as inferências de ancestralidade obtida utilizando estes conjuntos, indicaram elevada contribuição europeia (superior a 70%) e baixa contribuição ameríndia (inferior a 10%) na população, enquanto que as análises de mistura individual se mostraram consistentes, com a maioria dos indivíduos apresentando elevada ancestralidade europeia. Os resultados dos marcadores relativos ao sexo (Amelogenina, Y-INDEL e DYS391) foram consistentes com o sexo dos doadores das amostras. As frequências alélicas e parâmetros forenses foram calculados para os STRs, revelando uma alta informatividade. A Probabilidade de Match combinada e o Poder de Exclusão combinado foram de 1,19 x 10-36 e 0,999999999997 respectivamente. Dos 29 STRs autossômicos presentes, seis apresentaram desvios ao equilíbrio de Hardy-Weinberg, refletindo possíveis falhas no sequenciamento e genotipagem destes marcadores / The field of forensic genetics has developed increasingly with the implementation of new sets of DNA markers with higher levels of informativeness. The genetic markers are widely used in human identification as they allow distinguishing individuals with high accuracy. Two of the most commonly used markers are the Short Tandem Repeats (STRs) and the Single Nucleotide Polymorphisms (SNPs). Newer kits such as GlobalFiler (Thermo Fisher Scientific) and PowerPlex Fusion System (Promega) can analyze more than 20 STRs loci at once. When comparing with STRs, the SNPs are less informative and many more loci are needed to reach the same informativeness of STR kits. However, they are advantageous when using degraded DNA samples. The identification sets such as the 52-plex developed by the SNPforID Consortium and the IISNPs have been analyzed in many worldwide populations. With the development of next generation sequencing techniques (NGS Next Generation Sequencing), obtaining DNA profiles has become more accurate and some platforms allow generating profiles of up to 96 individuals simultaneously. The main goal of this study is to analyze 171 markers (Amelogenin, Y-INDEL, 30 STRs and 139 SNPs) in 340 admixed individuals from Ribeirão Preto, SP, using the NGS platform MiSeq Personal Sequencer (Illumina Inc.). This will allow the calculation of allele and genotype frequencies, the verification of adherence to Hardy-Weinbergs equilibrium and the estimation of forensic parameters for each set of marker. Ancestry analysis was performed for the sets of SNPs. The HaloPlex kit (Agilent Technologies, Inc) was used for library preparation including the STRs from the kits GlobalFiler and PowerPlex Fusion System and the SNPs from the SNPforID consortium (52-plex) and IISNPs (92 SNPs) identification sets. A single SNP (rs763869) from the SNPforID set was not analyzed due to technical issues. Only six of the 139 analyzed SNPs presented significant deviation from the Hardy-Weinberg equilibrium expectations, which is expected by chance alone. The SNPs sets exhibited high informativeness, with matchprobability ranging from 6.48 x 10-21 (52-plex) to 4.91 x 10-38 (IISNPs) and exclusion power of 0.9997 (52-plex) and 0.99999997 (IISNPs). In general, ancestry estimates obtained using these sets indicated a high European contribution (higher than 70%) and low Amerindian contribution (less than 10%) in the population sample, while the individual admixture analyses exhibited were highly consistent, with the majority of individuals presenting high European ancestry. The results of the sex markers (Amelogenin, Y-INDEL and DYS391) were in agreement with the reported sexes from sample donors. The allele frequencies and forensic parameters calculated for the STRs revealed high informativeness. The combined match probability and the combined exclusion power were 1.19 x 10-36 and 0.999999999997 respectively. Six of the 29 autosomal STRs presented significant deviations from the HardyWeinberg equilibrium expectations, reflecting possible failures in sequencing and genotyping of these markers

A genética forense vem se desenvolvendo cada vez mais, com novas tecnologias e implementação de novos conjuntos de marcadores de DNA com maiores níveis de informatividade. Os marcadores genéticos são amplamente usados na identificação humana, pois permitem distinguir indivíduos com alta acurácia. Duas classes de marcadores muito utilizadas atualmente são os STRs (Short Tandem Repeats) e os SNPs (Single Nucleotide Polymorphisms). Os STRs são altamente informativos e, portanto, úteis para a prática forense. Kits mais novos como GlobalFiler (Thermo Fisher Scientific) e PowerPlex Fusion System (Promega) apresentam a análise de mais de 20 loci STRs de uma só vez. Já os SNPs, por possuírem sua informatividade mais reduzida (necessita de mais loci analisados), são menos utilizados, porém apresentam vantagem em amostras degradadas de DNA; assim, conjuntos de identificação como o 52-plex desenvolvido pelo consórcio SNPforID e o conjunto IISNPs, vêm sendo estudados em várias populações do mundo. Com o desenvolvimento de técnicas de sequenciamento de nova geração (NGS Next Generation Sequencing) para análise de DNA, a obtenção de perfis de DNA se tornou mais acurada. Algumas plataformas permitem gerar perfis de até 96 indivíduos simultaneamente. Este estudo tem por objetivo principal analisar 171 marcadores genéticos (Amelogenina, Y-INDEL, 30 STRSs e 139 SNPs) em 340 indivíduos miscigenados da região da cidade de Ribeirão Preto (SP) utilizando a plataforma de sequenciamento de nova geração MiSeq Personal Sequencer (Illumina Inc.), bem como calcular as frequências alélicas e genotípicas, verificar a aderência ao equilíbrio de HardyWeinberg e estimar parâmetros forenses para os diferentes conjuntos de marcadores. Análises de ancestralidade foram realizadas para os conjuntos de SNPs. Para o preparo das bibliotecas de amostras a serem sequenciadas, foi utilizado o kit HaloPlex (Agilent Technologies, Inc), onde foram incluídos os marcadores dos kits GlobalFiler e PowerPlex Fusion System, e os SNPs existentes no conjunto do consórcio SNPforID (52-plex) e IISNPs (92 SNPs). De todos os marcadores incluídos no ensaio, apenas um SNP (rs763869) presente no conjunto SNPforID não pôde ser analisado devido a questões técnicas. Dos 139 SNPs analisados apenas seis apresentaram desvios significativos em relação ao equilíbrio de Hardy-Weinberg,número este esperado devido ao acaso. Os conjuntos de SNPs apresentam elevada informatividade com Probabilidade de Match de 6,48 x 10-21 (52-plex) a 4,91 x 10-38 (IISNP), e Poder de Exclusão de 0,9997 (52-plex) e 0,99999997 (IISNP). De modo geral, as inferências de ancestralidade obtida utilizando estes conjuntos, indicaram elevada contribuição europeia (superior a 70%) e baixa contribuição ameríndia (inferior a 10%) na população, enquanto que as análises de mistura individual se mostraram consistentes, com a maioria dos indivíduos apresentando elevada ancestralidade europeia. Os resultados dos marcadores relativos ao sexo (Amelogenina, Y-INDEL e DYS391) foram consistentes com o sexo dos doadores das amostras. As frequências alélicas e parâmetros forenses foram calculados para os STRs, revelando uma alta informatividade. A Probabilidade de Match combinada e o Poder de Exclusão combinado foram de 1,19 x 10-36 e 0,999999999997 respectivamente. Dos 29 STRs autossômicos presentes, seis apresentaram desvios ao equilíbrio de Hardy-Weinberg, refletindo possíveis falhas no sequenciamento e genotipagem destes marcadores / The field of forensic genetics has developed increasingly with the implementation of new sets of DNA markers with higher levels of informativeness. The genetic markers are widely used in human identification as they allow distinguishing individuals with high accuracy. Two of the most commonly used markers are the Short Tandem Repeats (STRs) and the Single Nucleotide Polymorphisms (SNPs). Newer kits such as GlobalFiler (Thermo Fisher Scientific) and PowerPlex Fusion System (Promega) can analyze more than 20 STRs loci at once. When comparing with STRs, the SNPs are less informative and many more loci are needed to reach the same informativeness of STR kits. However, they are advantageous when using degraded DNA samples. The identification sets such as the 52-plex developed by the SNPforID Consortium and the IISNPs have been analyzed in many worldwide populations. With the development of next generation sequencing techniques (NGS Next Generation Sequencing), obtaining DNA profiles has become more accurate and some platforms allow generating profiles of up to 96 individuals simultaneously. The main goal of this study is to analyze 171 markers (Amelogenin, Y-INDEL, 30 STRs and 139 SNPs) in 340 admixed individuals from Ribeirão Preto, SP, using the NGS platform MiSeq Personal Sequencer (Illumina Inc.). This will allow the calculation of allele and genotype frequencies, the verification of adherence to Hardy-Weinbergs equilibrium and the estimation of forensic parameters for each set of marker. Ancestry analysis was performed for the sets of SNPs. The HaloPlex kit (Agilent Technologies, Inc) was used for library preparation including the STRs from the kits GlobalFiler and PowerPlex Fusion System and the SNPs from the SNPforID consortium (52-plex) and IISNPs (92 SNPs) identification sets. A single SNP (rs763869) from the SNPforID set was not analyzed due to technical issues. Only six of the 139 analyzed SNPs presented significant deviation from the Hardy-Weinberg equilibrium expectations, which is expected by chance alone. The SNPs sets exhibited high informativeness, with matchprobability ranging from 6.48 x 10-21 (52-plex) to 4.91 x 10-38 (IISNPs) and exclusion power of 0.9997 (52-plex) and 0.99999997 (IISNPs). In general, ancestry estimates obtained using these sets indicated a high European contribution (higher than 70%) and low Amerindian contribution (less than 10%) in the population sample, while the individual admixture analyses exhibited were highly consistent, with the majority of individuals presenting high European ancestry. The results of the sex markers (Amelogenin, Y-INDEL and DYS391) were in agreement with the reported sexes from sample donors. The allele frequencies and forensic parameters calculated for the STRs revealed high informativeness. The combined match probability and the combined exclusion power were 1.19 x 10-36 and 0.999999999997 respectively. Six of the 29 autosomal STRs presented significant deviations from the HardyWeinberg equilibrium expectations, reflecting possible failures in sequencing and genotyping of these markers

Indiana University-Purdue University Indianapolis (IUPUI) / In the past, the present and the future, Lebanon has been an important link between the East and the West. It was always known as the ‘Switzerland of the East’. Over the years, it was a hotspot for different civilizations that uniquely shaped the genomic backbone of the current Lebanese. It is also a good representation of genetically admixed individuals with diverse phenotype characteristics and unique features. Lebanon, quite like other Middle Eastern populations, lacks sufficient genetic studies that helps to better comprehend the complex genomic composition of different traits and diseases. The lack of good representation of the Middle East and North Africa (MENA) region in global studies has led to ambiguity in discovering special ancestry markers and patterns in the Lebanese genome. Yet, in this study, a thorough investigation into a Lebanese collection shows new patterns that potentially would be helpful in forensic and genealogical applications. The investigation into the autosomal and Y-STRs revealed unique alleles that would be valuable in future forensic investigation analysis. In addition, the assessment of phenotype prediction models to predict eye, hair and skin color showed promising results in terms of prediction performance. Those results encourage the future use of intelligence tools in the regions that in return would aid in serving justice and furthering science research. In fact, ancestry and genetic distance studies confirms the presence of admixture within Lebanon between Europe and North Africa. / 2029-06-01

Made available in DSpace on 2015-04-01T14:16:04Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 1809210 bytes, checksum: e118d10e8ea156df56a7871608a59d7b (MD5) Previous issue date: 2014-02-26 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES / Human identification is based on analyzing DNA through present throughout the genome molecular markers. These markers are transmitted from parents to offspring by heredity. STR markers are currently the most commonly used genetic markers in Forensic Genetics due to their high polymorphism, high reproducibility, possibility of being amplified by PCR in multiple copies in a single reaction, and minute quantities of DNA (1ng). The DNA test that allows individualization of the people is essential tool to the solution of forensic human identification cases, sex crimes, crime scenes (including or excluding suspects), mass disasters, and its result is presented in statistical calculations that consider allele frequency of markers used. So it is important to know the allele frequencies presented in the regional population so that the results are the most reliable possible. In this study , 15 autossomal markers (loci) STR or microsatellite (CSF1PO, D13S317, D16S539, D18S51, D19S433, D21S11, D2S1338, D3S1358, D5S818, D7S820, D8S1179, FGA, TH01, and VWA TPOX) were studied in 766 unrelated individuals paraibanos, demonstrating a tri population - hybrid formed Africans (25.86 %), Amerindian (6.81 %) and Europeans (67.33 %). The most informative were D21S11 and FGA, and were less informative TPOX, D7S820 and D13S317. The results are important for a database with allele frequencies found in Paraiba population can serve as a useful basis for calculating forensic practice in the State of Paraíba. / A identificação humana está baseada na análise do DNA através de marcadores moleculares presente em todo o genoma. Estes marcadores são transmitidos de pais para filhos por hereditariedade. Atualmente os marcadores STR são os marcadores genéticos mais utilizados em Genética Forense devido ao seu elevado polimorfismo, alta reprodutibilidade, possibilidade de serem amplificados por PCR em inúmeras cópias numa só reação e em mínimas quantidades de DNA (1ng). O exame de DNA que permite a individualização das pessoas é ferramenta indispensável à solução de casos forenses de identificação humana, crimes sexuais, locais de crime (incluindo ou excluindo suspeitos), desastres em massa, e tem seu resultado apresentado em cálculos estatísticos que consideram a frequência alélica dos marcadores usados. Por isso é importante o conhecimento das frequências alélicas apresentadas na população regional de forma que os resultados sejam os mais fidedignos possíveis. Neste trabalho, 15 marcadores autossômicos (loci) STR ou microssatélites (CSF1PO, D13S317, D16S539, D18S51, D19S433, D21S11, D2S1338, D3S1358, D5S818, D7S820, D8S1179, FGA, TH01, TPOX e vWA) foram estudados em 766 indivíduos paraibanos não aparentados, demonstrando uma população tri - hibrida, formada de africanos (25,86%), ameríndios (6,81%) e europeus (67,33%). Os mais informativos foram D21S11 e FGA, e os menos informativos foram TPOX, D7S820 e D13S317. Os resultados são importantes para que um banco de dados com as frequências alélicas encontradas na população paraibana possa servir de base de cálculo útil para prática forense no Estado da Paraíba.

>Magister Scientiae - MSc / In this study the 10 Y-specific loci of the University of the Western Cape (DYS710, DYS518 385a/b, DYS644, DYS612, DYS626, DYS504, DYS447, DYS447, and DYS481) were analysed in 492 individuals from South African population groups. Four different populations namely; Zulu, Coloured, Afrikaner and Asian Indian were sampled. A total of 488 haplotypes were observed, 412 of which were unique. Haplotype diversity was 0.9981. Gene Diversity values ranged from 0.8075 for DYS447 to 0.9209 for DYS710. The discriminatory capacity was 0.9106 which is high. The study showed that the University of the Western Cape 10 locus is a powerful discrimination tool for routine forensic applications and could be used in genealogical investigations as compared to other commercial kits when used on the South African populations (Zulu, Coloured, Afrikaner and Asian Indian) considering its high discriminatory capacity. This data will be used for the establishment of a Y-STR DNA databases for South African population which would aid law enforcement authorities in the investigation and resolution of crimes AMOVA computed using haplotype frequencies showed that when male haplotypes from the four different populations were compared, 0.22 % of the total genetic variation was due to the variability among populations and 99.78 % of the total variation is found within populations. However AMOVA computed using distance matrix showed that 5.97 % of the total variation was due to variability among populations and 94.07 % of the total variation is found within populations. Genetic substructure was found among the four studied South African population groups. All the six population pairwise comparisons using AMOVA were significant .Therefore Y-STRs are very useful in comparing closely related populations. It should be noted that their utility for evolutionary purposes, they need to be combined more stable Y-DNA markers such as single nucleotide polymorphisms (SNPs). Factorial Correspondence Analysis (FCA) showed that the Coloured population has large genetic contribution from Afrikaner population and lesser contribution from the Zulu and Asian Indian population groups. / National Research Foundation (NFR)