29 resultados para SNP microarray
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Helicobacter pylori (H. pylori) is a common gastric pathogen that has infected more than 50% of the population of the world and it has been associated with chronic gastritis, gastric ulcers, duodenal ulcer, and gastric cancer. Although, almost all infected people develop gastritis, there is a variety of clinical outcomes, and only a minority (<1%) of infected individuals develop gastric cancer. There are evidences which suggest that the chronic inflammatory reaction caused by the bacterial infection may be involved in the production of reactive oxygen species or reactive nitrogen species. It may lead to DNA damage, which together with the cellular response could lead to gene mutations, chromosomal aberrations characterizing genomic instability that may represent the early step in gastric carcinogenesis. The extent and severity of gastric mucosal inflammation, as well as the clinical outcome of the infection, depend on a number of factors, including the host genetic susceptibility such SNP T3801 CYP1A1, immune response, age at which the infection was acquired, environmental factors, especially dietary and bacterial virulence factors. Due to the risk of developing gastric cancer in humans infected by H. pylori, we used the Comet Assay to investigate the influence of the SNP T3801C CYP1A1 on levels of oxidative DNA damage in gastric epithelial cells. The study was conducted with biopsies from the gastric antrum and corpus of 103 H. pylori-infected patients and 24 uninfected control patients. Genotype of SNP T3801C CYP1A1 was determined by PCR-RFLP and DNA damage levels were measured in gastric mucosal cells from antrum and corpus by the Comet assay. Levels of DNA damage in gastric mucosa cells from antrum and corpus of H. pylori-infected patients with mild, moderate, severe gastritis, and gastric cancer were significantly higher compared to uninfected normal mucosa cells. However, levels... (Complete abstract click electronic access below)
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(Microarray technology in study of head neck cancer). The microarray technology is a tool for global analysis of gene expression that allows investigating hundreds or thousands of genes in a sample using a hybridization reaction. This technology is based on hybridization between labeled targets derived from biological samples and an array of many DNA probes immobilized on a solid matrix, representing the genes of interest. The simultaneous study of hundreds of genes became the microarray technique a very important tool of global analysis, with applications in several areas, including the study of the development of cancer. Head and neck squamous cell carcinoma (HNSCC) is the fifth most common cancer worldwide, with a global annual incidence of 780,000 new cases. Large-scale studies involving microarrays have identified specific gene expression signatures associated with expression changes in HNSCC samples compared to normal tissue, as well as genes involved in clinical outcome and metastasis. However, the considerable heterogeneity among these studies occurs due to experimental design, number of samples, disease sites and stage, choice of microarray platform and results validation. Thus, there is much to be validated, before the technique has clinical utility. In relation to head and neck neoplasia, the large-scale gene analysis is very important, since the clinical and histopathological methods currently used appear to be insufficient to predict clinical progression and response to treatment. Thus, this approach could result in more effective diagnostic and prognostic and most appropriate therapy for this neoplasia.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Avaliação da autozigosidade em vacas Nelore (Bos indicus) através de genótipos SNP de alta densidade
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Pós-graduação em Medicina Veterinária - FCAV
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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The use of relatively low numbers of sires in cattle breeding programs, particularly on those for carcass and weight traits in Nellore beef cattle (Bos indicus) in Brazil, has always raised concerns about inbreeding, which affects conservation of genetic resources and sustainability of this breed. Here, we investigated the distribution of autozygosity levels based on runs of homozygosity (ROH) in a sample of 1,278 Nellore cows, genotyped for over 777,000 SNPs. We found ROH segments larger than 10 Mb in over 70% of the samples, representing signatures most likely related to the recent massive use of few sires. However, the average genome coverage by ROH (>1 Mb) was lower than previously reported for other cattle breeds (4.58%). In spite of 99.98% of the SNPs being included within a ROH in at least one individual, only 19.37% of the markers were encompassed by common ROH, suggesting that the ongoing selection for weight, carcass and reproductive traits in this population is too recent to have produced selection signatures in the form of ROH. Three short-range highly prevalent ROH autosomal hotspots (occurring in over 50% of the samples) were observed, indicating candidate regions most likely under selection since before the foundation of Brazilian Nellore cattle. The putative signatures of selection on chromosomes 4, 7, and 12 may be involved in resistance to infectious diseases and fertility, and should be subject of future investigation.
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To assist cattle producers transition from microsatellite (MS) to single nucleotide polymorphism (SNP) genotyping for parental verification we previously devised an effective and inexpensive method to impute MS alleles from SNP haplotypes. While the reported method was verified with only a limited data set (N = 479) from Brown Swiss, Guernsey, Holstein, and Jersey cattle, some of the MS-SNP haplotype associations were concordant across these phylogenetically diverse breeds. This implied that some haplotypes predate modern breed formation and remain in strong linkage disequilibrium. To expand the utility of MS allele imputation across breeds, MS and SNP data from more than 8000 animals representing 39 breeds (Bos taurus and B. indicus) were used to predict 9410 SNP haplotypes, incorporating an average of 73 SNPs per haplotype, for which alleles from 12 MS markers could be accurately be imputed. Approximately 25% of the MS-SNP haplotypes were present in multiple breeds (N = 2 to 36 breeds). These shared haplotypes allowed for MS imputation in breeds that were not represented in the reference population with only a small increase in Mendelian inheritance inconsistancies. Our reported reference haplotypes can be used for any cattle breed and the reported methods can be applied to any species to aid the transition from MS to SNP genetic markers. While ~91% of the animals with imputed alleles for 12 MS markers had ≤1 Mendelian inheritance conflicts with their parents' reported MS genotypes, this figure was 96% for our reference animals, indicating potential errors in the reported MS genotypes. The workflow we suggest autocorrects for genotyping errors and rare haplotypes, by MS genotyping animals whose imputed MS alleles fail parentage verification, and then incorporating those animals into the reference dataset.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)