983 resultados para SNPs em genes


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Tesis (Maestría en Ciencias con Orientación Terminal en Biología Molecular e Ingeniería Genética) UANL, 2012.

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Tesis (Maestría en Ciencias con Especialidad en Biología Molecular e Ingeniería Genética) UANL, 2012.

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A Síndrome de Berardinelli-Seip (SBS) é um distúrbio raro do metabolismo dos lipídios, caracterizada pela ausência quase total de tecido adiposo subcutâneo, hipertrigliceridemia, hipoleptinemia e diabetes insulino resistente ou lipoatrófico. Sua etiologia envolve implicações hipotalâmicas, alterações nos receptores de insulina e mutações nos genes AGPAT2, Gng3lg, CAV1 e PTRF. O tecido adiposo secreta diversas substâncias, tais como: leptina, resistina, adiponectina, esteróides, TNF , IL-6, PAI-1, angiotensinogênio, IGF-1. Muitas delas estão associadas ao diabetes mellitus tipo 2, obesidade e hipertensão. Os PPARs são fatores transcricionais pertencentes à superfamília de receptores nucleares ligantes ativados. Sabe-se que o PPAR , é importante para o metabolismo lipídico e glicídico e que o ligante natural do PPAR é derivado do ácido graxo. Nesse sentido, foram avaliados 24 pacientes portadores da SBS, provenientes do Estado do Rio Grande do Norte, com a mediana das idades de 18,5 anos (0,55 a 47 a), sendo 9 (37,5 %) do gênero masculino e 15 (62,5 %) do gênero feminino. Quanto ao grupo étnico, foram classificados em caucasóides (brancos) 21 (87,5 %) e negróides 3 (12,5 %) pacientes. Foram feitas avaliações clínico-endocrinológica, bioquímica, hormonal, molecular e o estudo dos polimorfismos Adiponectina ADIPOQ, PPARγ2 Pro12Ala, LPL-PvuII, APOC3-SstI e LDLR-AvaII em portadores da SBS. Nesta população nós não encontramos nenhuma associação de parâmetros lipídicos e glicídicos com os polimorfismos LPL-PvuII, APOC3-SstI e LDLR-AvaII. Porém, observamos associação entre Adiponectina ADIPOQ e PPARγ2 Pro12Ala e níveis lipídicos mais elevados, sugerindo um papel biológico para estes fatores, indicando estudos mais aprofundados

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Pós-graduação em Genética e Melhoramento Animal - FCAV

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Gene-based tests of association are frequently applied to common SNPs (MAF>5%) as an alternative to single-marker tests. In this analysis we conduct a variety of simulation studies applied to five popular gene-based tests investigating general trends related to their performance in realistic situations. In particular, we focus on the impact of non-causal SNPs and a variety of LD structures on the behavior of these tests. Ultimately, we find that non-causal SNPs can significantly impact the power of all gene-based tests. On average, we find that the “noise” from 6–12 non-causal SNPs will cancel out the “signal” of one causal SNP across five popular gene-based tests. Furthermore, we find complex and differing behavior of the methods in the presence of LD within and between non-causal and causal SNPs. Ultimately, better approaches for a priori prioritization of potentially causal SNPs (e.g., predicting functionality of non-synonymous SNPs), application of these methods to sequenced or fully imputed datasets, and limited use of window-based methods for assigning inter-genic SNPs to genes will improve power. However, significant power loss from non-causal SNPs may remain unless alternative statistical approaches robust to the inclusion of non-causal SNPs are developed.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Luteal insufficiency affects fertility and hence study of mechanisms that regulate corpus luteum (CL) function is of prime importance to overcome infertility problems. Exploration of human genome sequence has helped to study the frequency of single nucleotide polymorphisms (SNPs). Clinical benefits of screening SNPs in infertility are being recognized well in recent times. Examining SNPs in genes associated with maintenance and regression of CL may help to understand unexplained luteal insufficiency and related infertility. Publicly available microarray gene expression databases reveal the global gene expression patterns in primate CL during the different functional state. We intend to explore computationally the deleterious SNPs of human genes reported to be common targets of luteolysin and luteotropin in primate CL Different computational algorithms were used to dissect out the functional significance of SNPs in the luteinizing hormone sensitive genes. The results raise the possibility that screening for SNPs might be integrated to evaluate luteal insufficiency associated with human female infertility for future studies. (C) 2012 Elsevier B.V. All rights reserved,

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As freqüências de variantes alélicas de diferentes genes envolvidos no desenvolvimento da resposta imune foram analisadas em uma população de origem japonesa do sul do Brasil (n=119). Polimorfismos bialélicos dos genes CCR5, TNFR-II e IL-10, e dos segmentos gênicos TCRBV3S1, TCRBV13S5 e TCRBV18 foram analisados por PCR-RFLP. As freqüências alélicas foram determinadas e comparadas com as freqüências encontradas em outros grupos étnicos (caucasóides e afro-brasileiros). Nós observamos a ausência do alelo CCR5D32 na população testada. Os polimorfismos dos segmentos gênicos TCRBV3S1 e TCRBV13S5, e do gene IL-10 apresentaram freqüências alélicas significativamente diferentes das freqüências observadas em caucasóides e afro-brasileiros. O polimorfismo do segmento gênico TCRBV18 apresentou freqüências alélicas estatisticamente diferentes de caucasóides. Além disso, a comparação de duas sub-populações (definidas em nossa amostra de acordo com a origem geográfica no Japão) indicou diferenças entre as freqüências alélicas dos polimorfismos gênicos de TCRBV18 e IL-10 das mesmas. Esses dados indicam a existência de diferentes padrões imunogenéticos entre diferentes grupos étnicos. Outros polimorfismos SNPs de genes ligados ao sistema imune serão testados e comparados em nosso laboratório, utilizando as mesmas populações.

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In vitro and in animal models, APE1, OGG1, and PARP-1 have been proposed as being involved with inflammatory response. In this work, we have investigated if the SNPs APE1 Asn148Glu, OGG1 Ser326Cys, and PARP-1 Val762Ala are associated to meningitis and also developed a system to enable the functional analysis of polymorphic proteins. Patients with bacterial meningitis (BM), aseptic meningitis (AM) and controls (non-infected) genotypes were investigated by PIRA-PCR or PCR-RFLP. DNA damages were detected in genomic DNA by Fpg treatment. IgG and IgA were measured from plasma and the cytokines and chemokines were measured from cerebrospinal fluid samples using Bio-Plex assays. The levels of NF-κB and c-Jun were measured in CSF by dot blot assays. A significant (P<0.05) increase in the frequency of APE1 148Glu allele in BM and AM patients was observed. A significant increase in the genotypes Asn/Asn in control group and Asn/Glu in BM group was also found. For the SNP OGG1 Ser326Cys, the genotype Cys/Cys was more frequent (P<0.05) in BM group. The frequency of PARP-1 Val/Val genotype was higher in control group (P<0.05). The occurrence of combined SNPs increased significantly in BM patients, indicating that these SNPs may be associated to the disease. Increasing in sensitive sites to Fpg was observed in carriers of APE1 148Glu allele or OGG1 326Cys allele, suggesting that SNPs affect DNA repair activity. Alterations in IgG production were observed in the presence of SNPs APE1Asn148Glu, OGG1Ser326Cys or PARP-1Val762Ala. Reductions in the levels ofIL-6, IL-1Ra, MCP-1/CCL2and IL-8/CXCL8 were observed in the presence of APE1148Glu allele in BM patients, however no differences were observed in the levels of NF-κB and c-Jun considering genotypes and analyzed groups. Using APE1 as model, a system to enable the analysis of cellular effects and functional characterization of polymorphic proteins was developed using strategies of cloning APE1 cDNA in pIRES2-EGFP vector, cellular transfection of the construction obtained, siRNA for endogenous APE1 and cellular cultures genotyping. In conclusion, we obtained evidences of an effect of SNPs in DNA repair genes on the regulation of immune response. This is a pioneering work in the field that shows association of BER variant enzymes with an infectious disease in human patients, suggesting that the SNPs analyzed may affect immune response and damage by oxidative stress level during brain infection. Considering these data, new approaches of functional characterization must be developed to better analysis and interactions of polymorphic proteins in response to this context