The demographic history of human populations, both archaic and modern, have been the focus of extensive research. Earlier studies were based on a small number of genetic markers but technological advances have made possible the examination of data at the genome scale to answer important questions regarding the history of our species. A widely used application of single nucleotide polymorphisms (SNPs) are genotyping arrays that allow the study of several hundred thousand of these sites at the same time. However, most of the SNPs present in commercial genotyping arrays have often been discovered by sampling a small number of chromosomes from a group of selected populations. This form of non-random discovery skews patterns of nucleotide diversity and can affect population genetic inferences. Although different methods have been proposed to take into account this ascertainment bias, the challenge remains because the exact discovery protocols are not known for most of the commercial arrays. In this dissertation, I propose a demographic inference pipeline that explicitly models the underlying SNP discovery and I implement this methodology in specific examples of admixture in human populations when only SNP array data are available. In the first chapter, I describe the developed pipeline and applied it to a known example of recent population admixture in Mexico. The inferred time of admixture between Iberian and Native American populations that gave rise to admixed Mexicans was in line with historical records, as opposed to previous published underestimates. Next, I examined different demographic models on the first human settlement in Easter Island and determined that the island of Mangareva is the most likely point of origin for this migration. Finally, I investigated the dynamics of the admixture process between the ancestral Jomon and Yayoi populations in different locations across Japan. The estimates of the time of this encounter were closer to dates inferred from anthropological data, in contrast with past works. The results show that the proposed framework corrects ascertainment bias to improve inference in cases when only SNP chip data are available, and for genotype data originated from different platforms.

Submitted by admin tede (tede@pucgoias.edu.br) on 2018-06-22T19:18:01Z No. of bitstreams: 1 LORRAYNNE GUIMARÃES OLIVEIRA.pdf: 972251 bytes, checksum: 3d1335f8344b25e2c479fd95096c777d (MD5) / Made available in DSpace on 2018-06-22T19:18:01Z (GMT). No. of bitstreams: 1 LORRAYNNE GUIMARÃES OLIVEIRA.pdf: 972251 bytes, checksum: 3d1335f8344b25e2c479fd95096c777d (MD5) Previous issue date: 2018-03-08 / At the end of 1987 was one of the most serious radiological accidents in history, occurred in Goiânia-Goiás-Brazil, causing the contamination of the environment, succeending in the external irradiation and the internal contamination of several people. The direct and indirect effects of radiation initiate a series of biochemical and molecular signaling events that can repair the damage or culminate in permanent physiological changes or cell death. Mammalian cells have integrated response systems that detect DNA damage, activate signaling cascades, and realize repair. Chromosomal rearrangements induced by exposure to ionizing radiation can occur by Double Strand Break in the DNA (DSB). The main DNA repair mechanism responsible for the repair of DSBs is Nonallelic Homologous Recombination (NAHR). Through the NAHR process, the Low Copy Repeats known also with Segmental Duplications (LCRs / SDs) can lead to DNA rearrangements, such: deletions, duplications, inversions and translocations. Chromosomal Microarray Analysis (CMA) based on SNP array, is established on the identification of Copy Number Variantion (CNV), including gains and losses. The goal of this study was to investigate the effect of the presence of LCRs in the formation of new CNVs observed in the offspring of individuals exposed to low doses of IR of Cesium-137. The exposed group consisted of 12 families, of which at least one parent was directly exposed to IR Césio-137, including a total of 40 individuals (12 couples and 16 children born after the accident). The absorbed dose for the exposed individuals was estimated at ≤0.2 Gray. A group with 8 families of individuals not exposed to IR was used as control. The statistical tests used were Chi-Square, Pearson's Chi-Square, ANOVA, Spearman's Correlation, Kruskal Wallis, Likelihood Ratio and Linear Linear Association. All analyzes were performed with a significance level of 5% (p <0.05). We identified 50 (10.6%) and 23 (9.7%) CNVs that were being flanked by LCRs for the case and control groups, respectively. The test showed no significant difference. The comparison of gain and loss CNVs flanked by LCRs showed a significant difference where LCRs were significantly more associated with gain CNVs. The presence of LCRs was often associated with more longer CNVs, suggesting that CNVs originating from NAHR tend to be bigger. The CNV rates mutation and paternal meiosis in F1 generation of the case and control groups showed a significant difference. Men exposed to IR transmit more CNVs again small when compared to transmission based on maternal exposure and between controls. The estimation of rate mutation in LCR-mediated CNVs analyzed in F1 generation and in their biological parents was a useful biomarker in the retrospective evaluation of parental exposure to IR in human populations, especially for Burden mutation rate estimation. / No final de 1987 houve um dos mais graves acidentes radiológicos da história, ocorrido em Goiânia-Goiás-Brasil, ocasionando a contaminação do ambiente, sucedendo na irradiação externa e a contaminação interna de várias pessoas. Os efeitos diretos e indiretos da radiação iniciam uma série de eventos de sinalização bioquímica e molecular que podem reparar o dano ou culminar em mudanças fisiológicas permanentes ou morte celular. As células de mamíferos integraram sistemas de resposta que detectam danos no DNA, ativam cascatas de sinalização e efetuam o reparo. Os rearranjos cromossômicos induzidos pela exposição à radiação ionizante podem ocorrer por quebras na dupla fita do DNA (DSB). O principal mecanismo de reparo do DNA, responsável pela reparação de DSBs é a Recombinação Homóloga Não Alélica (NAHR). Através do processo de NAHR, as Repetições de poucas cópias conhecidas também com Duplicações Segmentares (LCRs / SDs) podem levar a rearranjos de DNA, como: deleções, duplicações, inversões e translocações. A análise Cromossômica em Microarranjos (CMA) baseada em SNP array, fundamenta-se na identificação de Variação no Número de Cópias (CNV), incluindo ganhos e perdas. O objetivo deste trabalho foi investigar o efeito da presença de LCR na formação de CNVs novas observadas na prole de indivíduos expostos a baixas doses de RI de Césio-137. O grupo exposto foi constituído por 12 famílias, dos quais pelo menos um dos progenitores foi diretamente exposto à RI de Césio-137, incluindo um total de 40 indivíduos (12 casais e 16 filhos nascidos após o acidente). A dose absorvida para os indivíduos expostos foi estimada em ≤0,2 Gray. Um grupo com 8 famílias, de indivíduos não-expostos à radiação ionizante foi usado como controle. Os testes estatísticos utilizados foram Qui–Quadrado, Qui-Quadrado de Pearson, ANOVA, Correlação de Spearman, Kruskal Wallis, Razão de verossimilhança e Associação Linear por Linear. Todas as análises foram realizadas com nível de significância de 5% (p<0,05). Identificamos 50 (10,6%) e 23 (9,7%) CNVs que estavam sendo flanqueadas por LCRs, para os grupos caso e controle, respectivamente. O teste não demonstrou diferença significante. A comparação de CNVs de ganho e perda flanqueadas por LCRs mostrou diferença significativa onde LCRs estavam significativamente mais associadas as CNVs de ganhos. A presença de LCRs esteve associada frequentemente em CNVs mais longas, sugerindo que CNVs originadas a partir de NAHR tendem a ser maiores. As taxas de mutações de CNV e a meiose paterna na geração F1 dos grupos caso e controle demonstram diferença significativa. Homens expostos à RI transmitem mais CNVs de novo pequenas quando comparado com a transmissão em função da exposição materna e entre controles. A estimativa da taxa de mutação em CNVs mediadas por LCRs analisada na geração F1 e em seus pais biológicos foi um biomarcador útil na avaliação retrospectiva de exposição parental

Marine bivalves are a group of species composed of clams, mussels and oysters. Bivalves are keystone species in coastal ecosystems and represent an increasingly important segment of the global aquaculture industry. Domestication of shellfish species is in the early stages, with few organized breeding programmes and a heavy reliance on wild seed. Consequently, the development and use of genomic markers may significantly assist shellfish aquaculture breeding and production. However, molecular genetic markers typically exhibit unusual patterns of segregation in bivalve species, which result in deviations from Mendelian expectations, and could potentially limit their use in parental assignment, mapping of quantitative trait loci and genomic prediction. Previous studies have suggested that segregation distortions originate at the larval stage, as a result of the linkage of markers to deleterious mutations. This high genetic load has been associated with the high fecundity of bivalve species. However, no direct evidence of a high incidence of de novo mutations has been provided. The aim of this thesis is to gain further insight into segregation distortions in bivalve species by studying the phenomenon at a genome-wide scale, using modern high-throughput sequencing technology. The studies presented in this thesis derive from experiments involving genotyping of parents and offspring from pair-crosses of three different bivalve species (the Pacific oyster Crassostrea gigas, the Blue mussel Mytilus edulis, and the GreenshellTM mussel Perna canaliculus) using high throughput sequencing and SNP arrays. The parent and offspring genotype data were used to characterize patterns of segregation distortion at a genome-wide level, followed by exploratory analyses to test hypotheses related to possible causes of this distortion. Three main findings resulted from the genome-wide analysis of segregation patterns. First, by using Restriction site Associated DNA sequencing (RAD-Seq) we observe that technical artefacts are more widespread than previously considered, contributing to apparent distortions via unreliable genotype calls. By analysing read depth data from RAD-Seq, we suggest that apparent homozygous genotype calls may actually be hemizygous, suggesting a very high frequency of null alleles which contribute to distorted segregation patterns. Bioinformatic pipelines to improve RAD-Seq locus assembly and marker genotyping for bivalve species are presented. Second, by using a high-density SNP array and RAD-Seq in pair crosses of Pacific oyster and aligning to the reference genome assembly, we find that segregation distortions cover extensive regions of the genome, and that certain genomic regions are consistently distorted in different families. Finally, following previous suggestions that the reproductive strategies of bivalve species may favour a high mutation rate, we provide preliminary evidence of a high incidence of de novo mutations that appear spontaneously (i) during male and female gamete formation and (ii) post-zygotically, during larval development. This putative high de novo mutation rate is likely to also contribute to deviations from Mendelian inheritance patterns in these species. New genomic technologies have allowed us to gain substantial insight into the intriguing yet poorly understood phenomena related to inheritance in bivalve species. The results have both fundamental and practical implications for genetic analysis interpretation and selective breeding for aquaculture in this large and highly diverse group of species.

DNA copy number variations (CNVs), which involve the deletion or duplication of subchromosomal segments of the genome, have become a focus of genetics research. This dissertation develops Bayesian HMMs for finding CNVs from single nucleotide polymorphism (SNP) arrays. A Bayesian framework to reconstruct the DNA copy number sequence from the observed sequence of SNP array measurements is proposed. A Markov chain Monte Carlo (MCMC) algorithm, with a forward-backward stochastic algorithm for sampling DNA copy number sequences, is developed for estimating model parameters. Numerous versions of Bayesian HMMs are explored, including a discrete-time model and different models for the instantaneous transition rates of change among copy number states of a continuous-time HMM. The most general model proposed makes no restrictions and assumes the rate of transition depends on the current state, whereas the nested model fixes some of these rates by assuming that the rate of transition is independent of the current state. Each model is assessed using a subset of the HapMap data. More general parameterizations of the transition intensity matrix of the continuous-time Markov process produced more accurate inference with respect to the length of CNV regions. The observed SNP array measurements are assumed to be stochastic with distribution determined by the underlying DNA copy number. Copy-number-specific distributions, including a non-symmetric distribution for the 0-copy state (homozygous deletions) and mixture distributions for 2-copy state (normal), are developed and shown to be more appropriate than existing implementations which lead to biologically implausible results. Compared to existing HMMs for SNP array data, this approach is more flexible in that model parameters are estimated from the data rather than set to a priori values. Measures of uncertainty, computed as simulation-based probabilities, can be determined for putative CNVs detected by the HMM. Finally, the dissertation concludes with a discussion of future work, with special attention given to model extensions for multiple sample analysis and family trio data.

DNA copy number variations (CNVs), which involve the deletion or duplication of subchromosomal segments of the genome, have become a focus of genetics research. This dissertation develops Bayesian HMMs for finding CNVs from single nucleotide polymorphism (SNP) arrays. A Bayesian framework to reconstruct the DNA copy number sequence from the observed sequence of SNP array measurements is proposed. A Markov chain Monte Carlo (MCMC) algorithm, with a forward-backward stochastic algorithm for sampling DNA copy number sequences, is developed for estimating model parameters. Numerous versions of Bayesian HMMs are explored, including a discrete-time model and different models for the instantaneous transition rates of change among copy number states of a continuous-time HMM. The most general model proposed makes no restrictions and assumes the rate of transition depends on the current state, whereas the nested model fixes some of these rates by assuming that the rate of transition is independent of the current state. Each model is assessed using a subset of the HapMap data. More general parameterizations of the transition intensity matrix of the continuous-time Markov process produced more accurate inference with respect to the length of CNV regions. The observed SNP array measurements are assumed to be stochastic with distribution determined by the underlying DNA copy number. Copy-number-specific distributions, including a non-symmetric distribution for the 0-copy state (homozygous deletions) and mixture distributions for 2-copy state (normal), are developed and shown to be more appropriate than existing implementations which lead to biologically implausible results. Compared to existing HMMs for SNP array data, this approach is more flexible in that model parameters are estimated from the data rather than set to a priori values. Measures of uncertainty, computed as simulation-based probabilities, can be determined for putative CNVs detected by the HMM. Finally, the dissertation concludes with a discussion of future work, with special attention given to model extensions for multiple sample analysis and family trio data.

Cancer, the uncontrolled growth of morphologically and genetically abnormal cells in the body, is a major worldwide public health problem and there is a great need for novel insights into this disease. The majority of tumors arise from the acquisition of somatic alterations leading to changes in gene function and expression. The clinical success of targeted therapeutics in molecularly defined subsets of patients has highlighted the need for comprehensive characterization of the somatic alterations in individual cancer types. Copy number profiling using SNP arrays is a common approach for profiling the extent of copy number variation across the cancer genome. In addition, next-generation sequencing technologies now offer researchers the ability to also systematically catalog nucleotide substitutions and structural rearrangements in dramatically less time and expense. In this thesis, we describe the application of SNP arrays and whole-exome sequencing to characterize two separate cohorts of cancer samples, as well as describe the development of a software tool to aid in the annotation of mutational data. Specifically, we detailed focal amplifications of PDGFRA and KIT in a combined set of lung adenocarcinoma and squamous cell carcinomas. Furthermore, in a cohort of small bowel neuroendocrine tumors, we characterized the global genetic landscape to show that these tumors are molecularly distinct from other neuroendocrine tumors. Lastly, we report Oncotator, a novel web application and service for comprehensive annotation of point mutations and indels found in cancer. It is hoped that the knowledge gained from these studies will fuel improvements in cancer diagnosis, prognosis, and therapy.

No description available.

Aberrationen in der DNA-Kopienzahl sind häufige genetische Veränderungen bei malignen Lymphomerkrankungen. Zugewinne sowie Deletionen stellen dabei Mechanismen zur Onkogen-Aktivierung sowie Tumorsuppressorgen-Inaktivierung dar und tragen somit zur Pathogenese der Erkrankung bei. Array-CGH und SNP-Array sind Messplattformen, die die genomweite Bestimmung von Kopienzahlaberrationen in einem Experiment ermöglichen. Die bei der Analyse entstehenden Datensätze sind komplex und erfordern automatische Methoden zur Unterstützung der Analyse und Interpretation der Messergebnisse. In dieser Promotionsarbeit wurden Methoden entwickelt, welche die Analyse von Array-CGH- und SNP-Array-Messungen ermöglichen. Diese Methoden wurden für die Auswertung umfangreicher Datensätze von malignen Non-Hodgkin-Lymphomen verwendet. Dabei wurden Lymphome der Entitäten Burkitt-Lymphom, diffus großzelliges B-Zell-Lymphom, Mantelzelllymphom, primäres ZNS-Lymphom und peripheres T-Zell-Lymphom – nicht anderweitig spezifiziert – analysiert. Für die untersuchten Lymphom-Entitäten konnten hierbei zahlreiche neue rekurrente Kopienzahlaberrationen sowie uniparentale Disomien gezeigt werden, die neue Einblicke in die Pathogenese der jeweiligen Erkrankungen erlauben. Darüber hinaus erfolgte ein Vergleich beider Messplattformen anhand eines Datensatzes mit gepaarten Array-CGH- und SNP-Array-Daten. Für die eingesetzten Plattformen (2800k-BAC-Array vs. Affymetrix 250k-Sty-SNP-Array) konnte eine circa zwölffach höhere effektive Auflösung der SNP-Array-Plattform gezeigt werden. Die wesentlichen Ergebnisse dieser Arbeit sind in sieben Publikationen eingeflossen.

Obesidade sindrômica é definida como a obesidade ocorrendo em conjunto com várias características clínicas distintas, associadas a retardo mental. A forma sindrômica mais freqüente é a síndrome de Prader-Willi (PWS) caracterizada por hipotonia, dificuldade de sucção no período neonatal, atraso do desenvolvimento neuropsicomotor (DNPM), hiperfagia, obesidade, baixa estatura na adolescência, mãos e pés pequenos, hipogonadismo, dificuldade de aprendizado e distúrbios de comportamento. Estudamos 141 pacientes com obesidade e/ou hiperfagia, atraso no desenvolvimento neuropsicomotor e/ou dificuldades de aprendizado e distúrbios de comportamento, pela técnica de MLPA (multiplex ligation-dependent probe amplification) assim como 19 pacientes que apresentavam além de atraso do DNPM e/ou dificuldade de aprendizado, distúrbios de comportamento, obesidade e/ou hiperfagia, outro sinal ao exame físico que sugerisse alteração cromossômica, pela técnica de SNP-array (The GeneChip 174; Mapping 100K Set, Affymetrix), com o objetivo de identificar genes e/ou segmentos cromossômicos envolvidos com obesidade sindrômica. Essas técnicas detectam deleções e/ ou duplicações do genoma, seja analisando regiões específicas, como a de MLPA, seja cobrindo praticamente o genoma inteiro (SNP-array). Dez pacientes apresentaram alterações cromossômicas: duas deleções 1p36, uma deleção 2p25.3, uma deleção 3p26.3 e duplicação 11q22.3, uma deleção 6(q16.1-q21), duas deleções 12(q15q21.1) (irmãs gêmeas), uma deleção X(p22.13p22.12), uma duplicação 14q11.2 e uma duplicação X(q26.3). Dentre as alterações encontradas estão duas síndromes relacionadas com obesidade já descritas, a monossomia 1p36 e a monossomia 6q16, que são diagnósticos diferencias da PWS. Nos segmentos alterados foram localizados vários genes relacionados a obesidade: DRD2, MCHR2, PLCH2, PRKCZ, RAB21, RAB2B, RAB39, TPO e SIM1. Onze genitores foram analisados por MLPA, SNP-Array e/ou cariótipo e rearranjos cromossômicos não foram identificados. Na presença dos cromossomos parentais normais o risco de recorrência é considerado desprezível. O diagnóstico de pacientes com obesidade sindrômica é um desafio, pois há sobreposição de fenótipos impossibilitando até agora o diagnóstico diferencial, a não ser o da síndrome de Prader-Willi clinicamente reconhecível, pelo menos, em sua segunda fase. O emprego de técnicas que detectam variações no número de cópias do genoma humano amplia a possibilidade de reconhecimento de novas síndromes e a descrição do espectro da variabilidade fenotípica de síndromes conhecidas. Estas síndromes são uma potencial fonte de esclarecimento das causas das formas comuns de obesidade. / Syndromic obesity is defined as obesity occurring in association with several distinct clinical features and mental retardation (MR). Prader-Willi syndrome (PWS) is the most frequent syndromic form of obesity and is characterized by hypotonia, poor sucking in the neonatal period, developmental delay, hyperphagia, obesity, short stature in adolescence, small hands and feet, hypogonadism, learning disabilities and behavior disturbances. Herein, we studied 141 patients with obesity and/or hyperphagia, psychomotor developmental delay and/or learning disabilities and behavior disturbances with the technique of MLPA (multiplex ligation-dependent probe amplification), and 19 patients by SNP-array technique (\"The GeneChip 174; Mapping 100K Set, Affymetrix) to identify copy number variations. By using both techniques we detected deletions or duplications of the genome in ten patients: two deletions at 1p36, two deletions at 12q15q21.1 (twins), a deletion of chromosomes 2p25.3, 6q16.1-q21, and Xp22.13p22.12, a duplication of chromosomes 14q11.2 and Xq26.3, and an unbalanced translocation between chromosomes 3p26.3 and 11q22.3. Monosomy 1p36 and monosomy 6q16 are well-known syndromes and had already been related with obesity. Both syndromes are considered as differential diagnosis of PWS. Several genes related to obesity are mapped in the altered chromosome segments: DRD2, MCHR2, PLCH2, PRKCZ, RAB21, RAB2B, RAB39, TPO and SIM1. Eleven parents were studied by MLPA, SNP array, and / or karyotype analyses, and chromosomal rearrangements were not identified. Therefore, we consider these rearrangements to be causative of the patients´ phenotype. The diagnosis of patients with syndromic obesity is a challenge due to the overlapping of the phenotypes, except for Prader-Willi syndrome that is a clinically recognizable syndrome, mainly in its second phase. The use of techniques that detect copy number variations of the human genome will increase the recognition of new syndromes and also the description of the spectrum of phenotypic variability of known syndromes. These syndromes are a potential source for the understanding of the etiology of the common forms of obesity.

Obesidade sindrômica é definida como a obesidade ocorrendo em conjunto com várias características clínicas distintas, associadas a retardo mental. A forma sindrômica mais freqüente é a síndrome de Prader-Willi (PWS) caracterizada por hipotonia, dificuldade de sucção no período neonatal, atraso do desenvolvimento neuropsicomotor (DNPM), hiperfagia, obesidade, baixa estatura na adolescência, mãos e pés pequenos, hipogonadismo, dificuldade de aprendizado e distúrbios de comportamento. Estudamos 141 pacientes com obesidade e/ou hiperfagia, atraso no desenvolvimento neuropsicomotor e/ou dificuldades de aprendizado e distúrbios de comportamento, pela técnica de MLPA (multiplex ligation-dependent probe amplification) assim como 19 pacientes que apresentavam além de atraso do DNPM e/ou dificuldade de aprendizado, distúrbios de comportamento, obesidade e/ou hiperfagia, outro sinal ao exame físico que sugerisse alteração cromossômica, pela técnica de SNP-array (The GeneChip 174; Mapping 100K Set, Affymetrix), com o objetivo de identificar genes e/ou segmentos cromossômicos envolvidos com obesidade sindrômica. Essas técnicas detectam deleções e/ ou duplicações do genoma, seja analisando regiões específicas, como a de MLPA, seja cobrindo praticamente o genoma inteiro (SNP-array). Dez pacientes apresentaram alterações cromossômicas: duas deleções 1p36, uma deleção 2p25.3, uma deleção 3p26.3 e duplicação 11q22.3, uma deleção 6(q16.1-q21), duas deleções 12(q15q21.1) (irmãs gêmeas), uma deleção X(p22.13p22.12), uma duplicação 14q11.2 e uma duplicação X(q26.3). Dentre as alterações encontradas estão duas síndromes relacionadas com obesidade já descritas, a monossomia 1p36 e a monossomia 6q16, que são diagnósticos diferencias da PWS. Nos segmentos alterados foram localizados vários genes relacionados a obesidade: DRD2, MCHR2, PLCH2, PRKCZ, RAB21, RAB2B, RAB39, TPO e SIM1. Onze genitores foram analisados por MLPA, SNP-Array e/ou cariótipo e rearranjos cromossômicos não foram identificados. Na presença dos cromossomos parentais normais o risco de recorrência é considerado desprezível. O diagnóstico de pacientes com obesidade sindrômica é um desafio, pois há sobreposição de fenótipos impossibilitando até agora o diagnóstico diferencial, a não ser o da síndrome de Prader-Willi clinicamente reconhecível, pelo menos, em sua segunda fase. O emprego de técnicas que detectam variações no número de cópias do genoma humano amplia a possibilidade de reconhecimento de novas síndromes e a descrição do espectro da variabilidade fenotípica de síndromes conhecidas. Estas síndromes são uma potencial fonte de esclarecimento das causas das formas comuns de obesidade. / Syndromic obesity is defined as obesity occurring in association with several distinct clinical features and mental retardation (MR). Prader-Willi syndrome (PWS) is the most frequent syndromic form of obesity and is characterized by hypotonia, poor sucking in the neonatal period, developmental delay, hyperphagia, obesity, short stature in adolescence, small hands and feet, hypogonadism, learning disabilities and behavior disturbances. Herein, we studied 141 patients with obesity and/or hyperphagia, psychomotor developmental delay and/or learning disabilities and behavior disturbances with the technique of MLPA (multiplex ligation-dependent probe amplification), and 19 patients by SNP-array technique (\"The GeneChip 174; Mapping 100K Set, Affymetrix) to identify copy number variations. By using both techniques we detected deletions or duplications of the genome in ten patients: two deletions at 1p36, two deletions at 12q15q21.1 (twins), a deletion of chromosomes 2p25.3, 6q16.1-q21, and Xp22.13p22.12, a duplication of chromosomes 14q11.2 and Xq26.3, and an unbalanced translocation between chromosomes 3p26.3 and 11q22.3. Monosomy 1p36 and monosomy 6q16 are well-known syndromes and had already been related with obesity. Both syndromes are considered as differential diagnosis of PWS. Several genes related to obesity are mapped in the altered chromosome segments: DRD2, MCHR2, PLCH2, PRKCZ, RAB21, RAB2B, RAB39, TPO and SIM1. Eleven parents were studied by MLPA, SNP array, and / or karyotype analyses, and chromosomal rearrangements were not identified. Therefore, we consider these rearrangements to be causative of the patients´ phenotype. The diagnosis of patients with syndromic obesity is a challenge due to the overlapping of the phenotypes, except for Prader-Willi syndrome that is a clinically recognizable syndrome, mainly in its second phase. The use of techniques that detect copy number variations of the human genome will increase the recognition of new syndromes and also the description of the spectrum of phenotypic variability of known syndromes. These syndromes are a potential source for the understanding of the etiology of the common forms of obesity.