Patients with schizophrenia and their siblings typically show subtle changes of brain structures, such as a reduction of hippocampal volume. Hippocampal volume is heritable, may explain a variety of cognitive symptoms of schizophrenia and is thus considered an intermediate phenotype for this mental illness. The aim of our analyses was to identify single-nucleotide polymorphisms (SNP) related to hippocampal volume without making prior assumptions about possible candidate genes. In this study, we combined genetics, imaging and neuropsychological data obtained from the Mind Clinical Imaging Consortium study of schizophrenia (n = 328). A total of 743,591 SNPs were tested for association with hippocampal volume in a genome-wide association study. Gene expression profiles of human hippocampal tissue were investigated for gene regions of significantly associated SNPs. None of the genetic markers reached genome-wide significance. However, six highly correlated SNPs (rs4808611, rs35686037, rs12982178, rs1042178, rs10406920, rs8170) on chromosome 19p13.11, located within or in close proximity to the genes NR2F6, USHBP1, and BABAM1, as well as four SNPs in three other genomic regions (chromosome 1, 2 and 10) had p-values between 6.75×10−6 and 8.3×10−7. Using existing data of a very recently published GWAS of hippocampal volume and additional data of a multicentre study in a large cohort of adolescents of European ancestry, we found supporting evidence for our results. Furthermore, allelic differences in rs4808611 and rs8170 were highly associated with differential mRNA expression in the cis-acting region. Associations with memory functioning indicate a possible functional importance of the identified risk variants. Our findings provide new insights into the genetic architecture of a brain structure closely linked to schizophrenia. In silico replication, mRNA expression and cognitive data provide additional support for the relevance of our findings. Identification of causal variants and their functional effects may unveil yet unknown players in the neurodevelopment and the pathogenesis of neuropsychiatric disorders.

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No. of bitstreams: 1 arce_cds_me_jabo.pdf: 1179630 bytes, checksum: c8a13228e501d97cb1dd118aca364265 (MD5) Previous issue date: 2018-02-27 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / Com o avanço dos estudos em genética e da tecnologia aplicada à genotipagem de marcadores moleculares, a identificação de polimorfismos associados às características de interesse econômico se tornou mais acessível, possibilitando a sua utilização aumentar a acurácia de modelos de predição do mérito genético dos animais. Esse avanço também possibilitou aumentar a acurácia dos estudos para identificação de QTLs para características de interesse econômico. Entretanto, os marcadores comumente utilizados para tal fim são os SNPs, que por serem bi-alélicos podem não ser muito eficientes na identificação dos QTLs. Os haplótipos, multi-alélicos, apresentam maior possibilidade de estarem em desequilíbrios de ligação (DL) com os QTLs. Dessa forma, objetivou-se no presente trabalho identificar o melhor método de construção de haplótipos para utilização em estudos de detecção de QTLs, a partir da comparação dos três métodos mais comumente utilizados para este fim. Foram utilizadas três populações simuladas representando características com três diferentes valores de herdabilidade, para as quais foram armazenados os dados fenotípicos, genotípicos e de pedigree dos 6.000 animais da população mais recente: Pop1 com herdabilidade baixa (0,10); Pop2 com herdabilidade moderada (0,25); e, Pop3 com herdabilidade alta (0,35). Os genomas simulados consistiram de 750.000 marcadores do tipo SNP, e 750 QTLs, com dois a quatro alelos, dispostos aleatoriamente em 29 cromossomos com tamanho total de 2.333 centimorgans (cM). A partir da simulação foram eliminados os SNPs cuja frequência do menor alelo foi menor que 0,1, restando 576.027, 577.189 e 576.675 marcadores para as populações Pop1, Pop2 e Pop3, respectivamente. A variação fenotípica foi de 1,0 e a variação dos QTLs foi de 50% das herdabilidades, para cada população. As médias dos DL para cada cromossomo, medidas pela estatística D', variaram de 0,20 até 0,30 para todas as populações, na última geração. Foram construídos haplótipos utilizando três métodos: Intervalo de Confiança (IC), Regra de Quatro Gametas (RQG) e Janelas Sobrepostas (JS). Para Pop1, no cromossomo 15, os métodos IC, RQG e JS identificaram cinco, oito e sete QTLs, respectivamente. Somente um QTL foi identificado nos cromossomos 19 e 29. Para a característica de herdabilidade alta, foi identificado um QTL no cromossomo 11. Em relação às análises de associação utilizando SNPs individuais, foram identificados quatro QTLs no cromossomo 15. Para a característica de herdabilidade moderada, não foram encontrados haplótipos ou SNPs isolados significativos. A metodologia de formação de haplótipos baseado na RQG foi considerada a mais eficiente para detecção de QTLs em relação aos métodos IC e JS, bem como ao uso dos SNPs isolados. / With the advancement of genetic studies and the technology applied to the genotyping of molecular markers, the identification of polymorphisms associated with the characteristics of economic interest became more accessible, allowing its use to increase the accuracy of prediction models of the genetic merit of the animals. This advance also made it possible to increase the accuracy of studies to identify QTLs for characteristics of economic interest. However, the commonly used markers for this purpose are SNPs, which because they are bi-allelic may not be very efficient in identifying QTLs. The haplotypes, multi-allelic, are more likely to be in linkage disequilibrium (LD) with QTLs. Thus, the objective of this work was to identify the best haplotype construction method for use in QTLs detection studies, by comparing the three methods most commonly used for this purpose. Three simulated populations representing characteristics with three different heritability values were used for which the phenotypic, genotypic and pedigree data of the 6,000 animals were stored: Pop1 with low heritability (0.10); Pop2 with moderate heritability (0.25); and, Pop3 with high heritability (0.35). The simulated genomes consisted of 750,000 SNP-type markers, and 750 QTLs, with two to four alleles, arranged randomly on 29 chromosomes with a total size of 2,333 centimorgans (cM). From the simulation the SNPs whose frequency of the lowest allele was less than 0.1 were eliminated, leaving 576,027, 577,189 and 576,675 markers for Pop1, Pop2 and Pop3 populations, respectively. The phenotypic variation was 1.0 and the variation of QTLs was 50% of the heritabilities, for each population. The mean LD for each chromosome, measured by the D' statistic, ranged from 0.20 to 0.30 for all populations in the last generation. Haplotypes were constructed using three methods: Confidence Interval (CI), Four Gametes Rule (FGR) and Sliding-Window (SW). For Pop1, on chromosome 15, CI, FGR and SW methods identified five, eight and seven QTLs, respectively. Only one QTL was identified on chromosomes 19 and 29. For the high heritability characteristic, a QTL was identified on chromosome 11. Regarding the association analyzes using individual SNPs, four QTLs were identified on chromosome 15. For the moderate heritability characteristic, no significant isolated haplotypes or SNPs were found. The methodology of haplotype formation based on the FGR was considered the most efficient for the detection of QTLs in relation to CI and SW methods, as well as to the use of isolated SNPs.

No description available.

Meningitis is an infection of the meninges, a layer of tissue surrounding the brain. In cases of pneumococcal meningitis (where the bacterium Streptococcus pneumoniae is the causat- ive agent) this causes severe inflammation, requiring intensive care and rapid antibiotic treatment. The contribution of variation in host and pathogen genetics to pneumococcal meningitis is unknown. In this thesis I develop and apply statistical genetics techniques to identify genomic variation associated with the various stages of pneumococcal meningitis, including colonisation, invasion and severity. I start by describing the development of a method to perform genome-wide association studies (GWAS) in bacteria, which can find variation in bacterial genomes associated with bacterial traits such as antibiotic resistance and virulence. I then applied this method to longitudinal samples from asymptomatic carriage, and found lineages and specific variants associated with altered duration of carriage. To assess meningitis versus carriage samples I applied similar analysis techniques, and found that the bacterial genome is crucial in determining invasive potential. As well as bacterial serotype, which I found to be the main effect, I discovered many independent sequence variants associated with disease. Separately, I analysed within host-diversity during the invasive phase of disease and found it to be of less relevance to disease progression. Finally, I analysed host genotype data from four independent studies using GWAS and heritability estimates to determine the contribution of human sequence variation to pneumococcal meningitis. Host sequence accounted for some variation in susceptibility to and severity of meningitis. The work concludes with a combined analysis of pairs of bacterial and human sequences from meningitis cases, and finds variation correlated between the two.

Human ageing is accompanied by characteristic metabolic and endocrine changes, including altered hormone profiles, insulin resistance and deterioration of skeletal muscle. Obesity and diabetes may themselves drive an accelerated ageing phenotype. Untangling the causal web between ageing, obesity and diabetes is a priority in order to understand their aetiology and improve prevention and management. The role of biological ageing in determining the risk of obesity and associated conditions has often been examined using mean leukocyte telomere length (LTL), a marker of replicative fatigue and senescence. However, considering phenotypes which represent different domains of biological and functional ageing as exposures for obesity and related traits could allow the elucidation of new understudied phenotypes relevant to cardio-metabolic risk in the wider population. This PhD considers the causal role of (1) hand grip strength (HGS), a marker of overall strength and physical functioning, and (2) resting energy expenditure, an indicator of overall energy metabolism and the major component of daily energy expenditure, in cardio-metabolic risk. I also characterise a new and readily-quantifiable marker of age-related genomic instability, mosaic loss of the Y chromosome (mLOY). Observational evidence implicates each of these phenotypes in cardio-metabolic conditions and intermediate phenotypes. However, it is not possible to infer causality from these observational associations due to confounding and reverse-causality. Mendelian randomisation offers a solution to these limitations and can allow the causal nature of these relationships to be investigated. Using population-based data including UK Biobank, this thesis presents the first large-scale genetic discovery effort for each trait and provides new biological insight into their shared and separate aetiology. I used identified variants to investigate the bidirectional causal associations of each trait with cardio-metabolic outcomes, intermediate phenotypes and other related traits such as frailty and mortality. In total I identified 16 loci for hand grip strength, 19 for mLOY, and one signal for REE. I have shown that HGS is likely to be causally linked to fracture risk, and I have identified the important shared genetic architecture between mLOY, glycaemic traits and cancer. I have also demonstrated that at least one known genetic variant contributing to obesity risk acts partially via reduced REE. Overall the findings of my PhD contribute to our wider understanding of the aetiological role of ageing processes in metabolic dysfunction, and have implications for both basic science and translational applications.

Les études d’association pangénomique (GWAS) ont permis la mise en évidence de nouvelles voies putativement importantes dans la physiopathologie du diabète de type 2, par l’identification de variants génétiques fréquents (SNP) de susceptibilité au diabète de type 2, mais souvent avec peu ou pas d'informations sur le mécanisme sous-jacent expliquant le lien entre ces variants génétiques et le phénotype diabétique. En effet ces SNP sont souvent non codants et ont un effet modeste sur le risque de diabète de type 2, ce qui rend difficile leur étude d’un point de vue fonctionnel. Dès le début des GWAS, il a été suggéré que ces gènes associés au diabète de type 2, étaient des « gènes de la cellule β pancréatique » sans que des études fonctionnelles n’aient été faites de manière systématique. Dans ce contexte, nous avons mené une étude de fishing pour déblayer cette quantité importante de données provenant des GWAS et d’identifier des gènes potentiellement importants, pouvant être de nouvelles cibles thérapeutiques. Le premier objectif de ma thèse a été l’étude de l’expression des gènes de susceptibilité au diabète de type 2 dans un panel de tissus humains comprenant des tissus pancréatiques et des tissus sensibles à l’insuline. Pour cela nous avons utilisé une technique de quantification non biaisée de l’expression génique dans le but de montrer si ces gènes associés au diabète de type 2 avaient une expression enrichie (proportion de gènes de susceptibilité au diabète de type 2 surexprimés dans les cellules β versus les autres tissus) dans les cellules β pancréatiques. Nous avons ensuite réalisé des études fonctionnelles sur la trentaine de gènes de susceptibilité au diabète de type 2 les plus exprimés dans notre modèle cellulaire par des tests de sécrétion d’insuline, des études de la viabilité cellulaire, du séquençage d’ARN (RNA-seq) et du western blotting dans la lignée de cellules β pancréatiques humaines EndoC-βH1. Les EndoC-βH1 sont des cellules en mesure de sécréter de l’insuline en réponse au glucose et à d’autres sécrétagogues. Nous les avons utilisé afin d’étudier le rôle de ces gènes de susceptibilité au diabète de type 2 dans la fonction de la cellule β pancréatique, en particulier dans la sécrétion insulinique. Notre étude d’expression a montré que l’expression des gènes de susceptibilité au diabète de type 2 est enrichie de manière significative dans les cellules β pancréatiques et la lignée EndoC-βH1. Pour cinq gènes du diabète de type 2 (TBC1D4, TCF19, KCNK16, CDKN2A et SLC30A8) ayant une présence et un effet déjà connus dans la fonction des cellules β, nous avons démontré une variation significative de la sécrétion d’insuline après extinction génique, en concordance avec la littérature. Par ailleurs, nous avons pu mettre en évidence quatre gènes de susceptibilité au diabète de type 2 (PRC1, SRR, ZFAND3 et ZFAND6) montrant une baisse significative de la sécrétion d’insuline après extinction génique et dont la présence ou la fonction dans la cellule β était pour l’heure inconnue. Les analyses RNA-seq ont montré une association significative de l’extinction de ces gènes avec des réseaux moléculaires liés à la physiopathologie du diabète de type 2 (par exemple : l’apoptose des cellules pancréatiques, l’insulinémie, la glycolyse, le stress du réticulum endoplasmique…). Et l’évaluation de l’expression de nos quatre gènes dans des îlots de souris obèses (ob/ob) ou traitées à la streptozotocine a montré une corrélation positive de leur expression avec celle de l’insuline. Notre étude a démontré que les études fonctionnelles post-GWAS sont importantes et permettent de définir le lien de causalité des gènes de susceptibilité avec la maladie, et ainsi de mener à des progrès sur la compréhension de la physiopathologie de la maladie [...] / Genome-wide association studies (GWAS) have identified a plethora of single nucleotide polymorphisms (SNPs) associated with the risk of type 2 diabetes, but most often with little information about the mechanism underlying the relationship between these genetic variants associated with type 2 diabetes and the diabetic phenotype. Indeed, these SNPs are often noncoding and have a modest effect on the risk of type 2 diabetes, making difficult their functional study. At the beginning of the GWAS era, it has been suggested that susceptibility genes for type 2 diabetes are strongly involved in pancreatic β cell gene function, while no functional studies had been systematically performed. In this context, we conducted a “fishing” study to decipher this large amount of data generated by GWAS and to pinpoint potentially important genes that may be new therapeutic targets. The first objective of my thesis was to study the expression of type 2 diabetes susceptibility genes in a panel of human tissues comprising pancreatic and insulin-sensitive tissues using an unbiased technique of quantification of genes expression in order to show that these genes associated with type 2 diabetes were enriched in pancreatic β-cells. We then performed functional studies on the thirty mostly expressed genes in our cell model by insulin secretion tests, cell viability test, RNA sequencing (RNA-seq) and Western blotting in the human pancreatic β cell line (EndoC-βH1). These cells are able to secrete insulin in response to glucose and other secretagogues. Our goal was to study the role of these type 2 diabetes susceptibility genes in pancreatic β cell function, particularly in insulin secretion. Our expression study of type 2 diabetes susceptibility genes showed that their expression is significantly enriched in pancreatic β cells and the EndoC-βH1 cell line. For five genes associated with type 2 diabetes (TBC1D4, TCF19, KCNK16, CDKN2A and SLC30A8) with an already known presence and function in pancreatic β cell, we showed a significant variation in glucose-stimulated insulin secretion after gene silencing, in agreement with the literature. In addition, we identified four type 2 diabetes associated genes (PRC1, SRR, ZFAND3 and ZFAND6), with a significant decrease in insulin secretion after gene silencing without already know function in pancreatic β cell. RNA-seq has shown a significant association between the extinction of these genes and molecular networks related to the pathophysiology of type 2 diabetes (e.g. apoptosis of pancreatic cells, insulinemia, glycolysis, endoplasmic reticulum stress response...). The assessment of the expression of our four genes in the islets of obese mice (ob/ob) or treated with streptozotocin shows a positive correlation between their expression and the expression of insulin. Our study has shown that post-GWAS functional studies are important and can help to define the causal link between these genes and the disease, and therefore to make progress in the understanding of the pathophysiology of type 2 diabetes. This study allowed us to identify genes whose function in β cell was not anterior known and which are involved in pancreatic β cell function and the pathophysiology of type 2 diabetes.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / Um estudo sugere que o fenótipo da periodontite agressiva localizada está ligado a região 1q25. O objetivo do presente estudo foi aperfeiçoar o mapeamento genético da periodontite agressiva na região cromossômica supracitada em famílias clinicamente bem caracterizadas segregando a doença. A hipótese deste estudo é que variações genéticas localizadas no cromossomo 1 entre as regiões 1q 24.2 e 1q 31.3 contribuem para o fenótipo da periodontite agressiva. Como objetivos específicos, determinamos o modo de herança da periodontite agressiva através de análise de segregação, e verificamos a existência de ligação e/ou associação entre a região 1q 24.2-1q 31.3 e a periodontite agressiva. A análise de segregação foi executada no programa SEGREG do pacote SAGE versão 5.4.2 com base nos dados dos pedigrees das primeiras 74 famílias recrutadas neste estudo, totalizando 475 indivíduos (média de 6.4 indivíduos por família) de origem geográfica similar. Assumiu-se a herança Mendeliana como um locus autossômico com 2 alelos A e B, onde o alelo A estava associado ao fenótipo relevante. Cinco modos de transmissão (não homogêneo, Mendeliano homogêneo, homogêneo geral, semigeral, heterogêneo geral) foram testados assumindo que a prevalência da periodontite agressiva é de 1% sob o Equilíbrio de Hardy-Weinberg. Foram coletadas amostras de saliva de 54 das 74 famílias recrutadas, totalizando 371 amostras de saliva para a extração do DNA genômico. 21 polimorfismos de um único nucleotídeo (SNPs) foram selecionados dentro da região proposta e analisados por reação em cadeia da polimerase (PCR). Os genótipos foram obtidos pelo método TaqMan. A análise não paramétrica de ligação familial foi executada com o Programa Merlin. As detecções de transmissão (associação) foram executadas com os programas FBAT e PLINK. O modo de herança mais adequado para cada teste de susceptibilidade dos alelos executado foi o modelo semigeral (p=0,31). Este modelo de transmissão sugere que os alelos de risco para a periodontite agressiva são transmitidos pelos pais heterozigotos, fornecendo suporte para a hipótese que variantes genéticas exercem um papel importante na patogênese da periodontite agressiva e que poucos loci com efeitos relativamente pequenos contribuem para a doença, independente da interação com fatores ambientais. Os resultados mostram uma associação estatisticamente significante entre os SNPs rs1935881 (G>A) e rs1342913 (A>G) localizados no gene FAM5C e a periodontite agressiva (p=0,03). O sequenciamento das regiões codificantes de FAM5C não apresentaram mutação, mas foram encontradas duas mutações em íntrons do gene FAM5C próximas aos SNPs rs57694932 (A>G) e rs10494634 (A>T). Estas variantes não estão associadas a periodontite agressiva nesta população. Por outro lado, o haplótipo rs1935881-rs1342913 está associado a periodontite agressiva (p=0,009). Os resultados deste estudo suportam a hipótese de que o gene FAM5C contido na região 1q 24.2 a 1q 31.3 contribui para a etiopatogenia da periodontite agressiva e, portanto, pode ser sugerido como gene candidato. / It has been suggested that the localized aggressive periodontitis phenotype is linked to the region 1q25. The aim of this study was to fine map the chromosome interval suggested as containing a localized aggressive periodontitis locus in clinically well characterized group of families segregating aggressive periodontitis. The hypothesis of this study is that genetic variation located between 1q24.2 to 1q31.3 contributes to the phenotype of aggressive periodontitis. As specific aims, we evaluated the inheritance mode of aggressive periodontitis performing segregation analysis and, we tested the presence of linkage and or association between the target region of chromosome 1 and aggressive periodontitis. Segregation analysis was performed in pedigree data from the first 74 families, comprised of 475 individuals (average of 6.4 individuals per family) with similar geographic origin by the use of the SEGREG program of SAGE v.5.4.2. Mendelian inheritance was assumed to be through an autosomal locus with two alleles A and B, where the A allele was associated with the relevant phenotype. Five inheritance modes (homogeneous no transmission, homogeneous Mendelian transmission, homogeneous general transmission, semi-general transmission, heterogeneous general transmission) were tested assuming the prevalence of aggressive periodontitis as 1% and no deviations from Hardy-Weinberg equilibrium. Saliva samples were collected from 54 families, 371 individuals and DNA was extracted from this biological material. Twenty-one single nucleotide polymorphisms (SNPs) were selected and analyzed by standard polymerase chain reaction. The genotypes were obtained by the TaqMan method. The non-parametric analysis of familial linkage was performed with Merlin software. Analyses of transmission detection (association) were performed by FBAT and PLINK programs. The most parsimonious mode of inheritance in each susceptibility type tested was the semi-general transmission mode (p=0,31). This mode suggests an excess of risk alleles being transmitted from heterozygous parents. This result provides strong support for the hypothesis that genetic factors play a role in aggressive periodontitis and that a few loci, each with relatively small effects, contribute to aggressive periodontitis, with or without interaction with environmental factors. We found a statistically significant association between the SNPs rs1935881 (G>A) and rs1342913 (A>G) in the FAM5C gene and aggressive periodontitis (p=0.03). Sequence analysis of FAM5C coding regions did not disclose any mutations, but two variants in intronic regions of FAM5C gene: rs57694932 (A>G) and rs10494634 (A>T) were found. The two variants are not associated with aggressive periodontitis in this population. A stronger association could has seen between aggressive periodontitis and the haplotypes rs1935881-rs1342913 (p=0.009). This study supports the hypothesis that FAM5C gene might contribute to aggressive periodontitis and then, could be suggested as a candidate gene.

Made available in DSpace on 2016-06-02T20:21:37Z (GMT). No. of bitstreams: 1 6501.pdf: 1672444 bytes, checksum: 64754c3f12e26620a22bf55af9f8d5ff (MD5) Previous issue date: 2014-08-13 / The Brazilian cattle industry is presented as highlighted on the world stage and the significant participation of this productive sector in the economy means that there is concern with production losses, among which stands out those caused by infestation of Rhipicephalus (Boophilus) microplus, main ectoparasite vector cattle and various diseases. The genetic variability for resistance to the cattle tick shows that this trait can be genetically improved. For the execution of this work, it was used a study of genome wide association (GWAS) for resistance to Rhipicephalus (Boophilus) microplus, performed by Dr. Fernando Flores Cardoso, with 260 Hereford and 500 Braford animals. The monitoring of the infestation was accomplished by counting tick females larger than 4.5 mm from one of the animal's body side, and the degree of infestation was evaluated for each animal by averaging at least two consecutive counts, with intervals of approximately thirty days, in the months of highest incidence of the parasite. The animals were genotyped using a 50K SNP chip, and it was found a total of 37,346 SNPs that passed in quality test. Among these markers, 178 showed significant effects and allowed the mining of 175 genes in these regions, at an interval of 200 Kb (100 Kb for each side of each marker). Most of these polymorphisms associated with the trait is located in regions without defined functions (intronic and intergenic), and only one of them is located in the splicing region. The most significant regions of the GWAS were identified on chromosomes 7, 21 and 23, which were found 72 genes in linkage disequilibrium with the molecular markers. Therefore, a functional annotation of the genes on these 3 chromosomes was performed, allowing the choice of 11 candidate genes for the study of various metabolic pathways in which they are inserted. Among these pathways, the most important are those related to immune responses, secretion and intracellular transport, calcium influx and epidermal growth and differentiation. / A bovinocultura brasileira apresenta-se como destaque no cenário mundial e a expressiva participação deste setor produtivo na economia faz com que haja preocupação com as perdas produtivas, dentre as quais destaca-se aquelas causadas pela infestação do carrapato Rhipicephalus (Boophilus) microplus, principal ectoparasita de bovinos e vetor de diversas doenças. A variabilidade genética observada para a resistência dos bovinos ao carrapato permite que essa característica seja melhorada geneticamente, como forma alternativa de controle desses ectoparasitos. Para a execução do presente trabalho, foi utilizado um estudo de associação genômica ampla (GWAS) para a resistência ao carrapato R. microplus, o qual foi realizado pela equipe do Dr. Fernando Flores Cardoso (Embrapa Pecuária Sul), com 260 animais da raça Hereford e 500 animais da raça Braford. O monitoramento das infestações foi realizado por meio da contagem de fêmeas do carrapato com tamanho superior a 4,5 mm em um dos lados do corpo do animal, e o grau de infestação de cada animal foi avaliado pela média de pelo menos duas contagens consecutivas, com intervalos de aproximadamente trinta dias, conduzidas no sobreano, nos meses de maior incidência do parasito. Os animais foram genotipados com utilização de um chip de SNPs de 50 K e, após a realização do GWAS, verificou-se que um total de 37.346 SNPs passou nos teste de qualidade. Dentre esses marcadores, 178 SNPs apresentaram efeitos significativos e permitiram a mineração de 175 genes nessas regiões, em um intervalo de 200 Kb (100 Kb para cada lado de cada marcador). A maioria dos polimorfismos associados com a característica está localizada em regiões sem funções determinadas (intergênicas e intrônicas), apenas um deles encontra-se em região de splicing. Sendo assim, estes marcadores podem constituir mutações não causais que se encontram em desequilíbrio de ligação com mutações funcionais. As regiões mais significativas do GWAS foram identificadas nos cromossomos 7, 21 e 23, onde foram identificados 72 genes em desequilíbrio de ligação com os marcadores moleculares. Portanto, foi realizada uma anotação funcional dos genes localizados nesses 3 cromossomos, o que permitiu a seleção de 11 genes candidatos para um estudo mais aprofundado das vias metabólicas nas quais eles estão inseridos. Verificou-se que esses genes participam de processos importantes em vias já relacionadas com a resistência a carrapatos, tais como apresentação de antígenos, transporte e secreção intracelular e diferenciação da epiderme.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / Um estudo sugere que o fenótipo da periodontite agressiva localizada está ligado a região 1q25. O objetivo do presente estudo foi aperfeiçoar o mapeamento genético da periodontite agressiva na região cromossômica supracitada em famílias clinicamente bem caracterizadas segregando a doença. A hipótese deste estudo é que variações genéticas localizadas no cromossomo 1 entre as regiões 1q 24.2 e 1q 31.3 contribuem para o fenótipo da periodontite agressiva. Como objetivos específicos, determinamos o modo de herança da periodontite agressiva através de análise de segregação, e verificamos a existência de ligação e/ou associação entre a região 1q 24.2-1q 31.3 e a periodontite agressiva. A análise de segregação foi executada no programa SEGREG do pacote SAGE versão 5.4.2 com base nos dados dos pedigrees das primeiras 74 famílias recrutadas neste estudo, totalizando 475 indivíduos (média de 6.4 indivíduos por família) de origem geográfica similar. Assumiu-se a herança Mendeliana como um locus autossômico com 2 alelos A e B, onde o alelo A estava associado ao fenótipo relevante. Cinco modos de transmissão (não homogêneo, Mendeliano homogêneo, homogêneo geral, semigeral, heterogêneo geral) foram testados assumindo que a prevalência da periodontite agressiva é de 1% sob o Equilíbrio de Hardy-Weinberg. Foram coletadas amostras de saliva de 54 das 74 famílias recrutadas, totalizando 371 amostras de saliva para a extração do DNA genômico. 21 polimorfismos de um único nucleotídeo (SNPs) foram selecionados dentro da região proposta e analisados por reação em cadeia da polimerase (PCR). Os genótipos foram obtidos pelo método TaqMan. A análise não paramétrica de ligação familial foi executada com o Programa Merlin. As detecções de transmissão (associação) foram executadas com os programas FBAT e PLINK. O modo de herança mais adequado para cada teste de susceptibilidade dos alelos executado foi o modelo semigeral (p=0,31). Este modelo de transmissão sugere que os alelos de risco para a periodontite agressiva são transmitidos pelos pais heterozigotos, fornecendo suporte para a hipótese que variantes genéticas exercem um papel importante na patogênese da periodontite agressiva e que poucos loci com efeitos relativamente pequenos contribuem para a doença, independente da interação com fatores ambientais. Os resultados mostram uma associação estatisticamente significante entre os SNPs rs1935881 (G>A) e rs1342913 (A>G) localizados no gene FAM5C e a periodontite agressiva (p=0,03). O sequenciamento das regiões codificantes de FAM5C não apresentaram mutação, mas foram encontradas duas mutações em íntrons do gene FAM5C próximas aos SNPs rs57694932 (A>G) e rs10494634 (A>T). Estas variantes não estão associadas a periodontite agressiva nesta população. Por outro lado, o haplótipo rs1935881-rs1342913 está associado a periodontite agressiva (p=0,009). Os resultados deste estudo suportam a hipótese de que o gene FAM5C contido na região 1q 24.2 a 1q 31.3 contribui para a etiopatogenia da periodontite agressiva e, portanto, pode ser sugerido como gene candidato. / It has been suggested that the localized aggressive periodontitis phenotype is linked to the region 1q25. The aim of this study was to fine map the chromosome interval suggested as containing a localized aggressive periodontitis locus in clinically well characterized group of families segregating aggressive periodontitis. The hypothesis of this study is that genetic variation located between 1q24.2 to 1q31.3 contributes to the phenotype of aggressive periodontitis. As specific aims, we evaluated the inheritance mode of aggressive periodontitis performing segregation analysis and, we tested the presence of linkage and or association between the target region of chromosome 1 and aggressive periodontitis. Segregation analysis was performed in pedigree data from the first 74 families, comprised of 475 individuals (average of 6.4 individuals per family) with similar geographic origin by the use of the SEGREG program of SAGE v.5.4.2. Mendelian inheritance was assumed to be through an autosomal locus with two alleles A and B, where the A allele was associated with the relevant phenotype. Five inheritance modes (homogeneous no transmission, homogeneous Mendelian transmission, homogeneous general transmission, semi-general transmission, heterogeneous general transmission) were tested assuming the prevalence of aggressive periodontitis as 1% and no deviations from Hardy-Weinberg equilibrium. Saliva samples were collected from 54 families, 371 individuals and DNA was extracted from this biological material. Twenty-one single nucleotide polymorphisms (SNPs) were selected and analyzed by standard polymerase chain reaction. The genotypes were obtained by the TaqMan method. The non-parametric analysis of familial linkage was performed with Merlin software. Analyses of transmission detection (association) were performed by FBAT and PLINK programs. The most parsimonious mode of inheritance in each susceptibility type tested was the semi-general transmission mode (p=0,31). This mode suggests an excess of risk alleles being transmitted from heterozygous parents. This result provides strong support for the hypothesis that genetic factors play a role in aggressive periodontitis and that a few loci, each with relatively small effects, contribute to aggressive periodontitis, with or without interaction with environmental factors. We found a statistically significant association between the SNPs rs1935881 (G>A) and rs1342913 (A>G) in the FAM5C gene and aggressive periodontitis (p=0.03). Sequence analysis of FAM5C coding regions did not disclose any mutations, but two variants in intronic regions of FAM5C gene: rs57694932 (A>G) and rs10494634 (A>T) were found. The two variants are not associated with aggressive periodontitis in this population. A stronger association could has seen between aggressive periodontitis and the haplotypes rs1935881-rs1342913 (p=0.009). This study supports the hypothesis that FAM5C gene might contribute to aggressive periodontitis and then, could be suggested as a candidate gene.

Introduction: The Restless Legs Syndrome (RLS) is a frequent neurological disorder with a prevalence ranging from 5 - 10%. RLS is characterized by an urge to move the lower extremities during the night, thus RLS causes sleep disturbance. It presents as both idiopathic and secondary form. Idiopathic RLS is associated with common genetic variants in MEIS1, BTBD9, PTPRD and MAP2K5/SCOR1. Recently, multiple sclerosis (MS) was identified as a common cause for secondary RLS, the prevalence of RLS in patients with MS ranges from 13.3 to 37.5%. The aim of our study was to analyse the clinical and genetic aspects of this disorder, especially in patients with multiple sclerosis. In the clinical part, we evaluated the prevalence of RLS among Czech patients with MS and we compared the extent of brain damage between patients with and without RLS using magnetic resonance imaging (MRI). In the genetic part, we further analysed the impact of known genetic variants (MEIS1, BTBD9, MAP2K5/SCOR1, PTPRD) for RLS in other European populations and in patients with MS. Methods: Clinical part: Each patient with MS underwent a semi-structured interview. A patient was considered to be affected by RLS if he/she met all four standard criteria at life- long interval. Lesion load (LL - T2), brain atrophy - T1 and brain...