945 resultados para Genome-wide Search


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Aims/hypothesis Insulin hypersecretion may be an independent predictor of progression to type 2 diabetes. Identifying genes affecting insulin hypersecretion are important in understanding disease progression. We have previously shown that diabetes-susceptible DBA/2 mice congenitally display high insulin secretion. We studied this model to map and identify the gene(s) responsible for this trait.

Methods Intravenous glucose tolerance tests followed by a genome-wide scan were performed on 171 (C57BL/6 × DBA/2) × C57BL/6 backcross mice.

Results A quantitative trait locus, designated hyperinsulin production-1 (Hip1), was mapped with a logarithm of odds score of 7.7 to a region on chromosome 13. Production of congenic mice confirmed that Hip1 influenced the insulin hypersecretion trait. By studying appropriate recombinant inbred mouse strains, the Hip1 locus was further localised to a 2 Mb interval, which contained only nine genes. Expression analysis showed that the only gene differentially expressed in islets isolated from the parental strains was Nnt, which encodes the mitochondrial proton pump, nicotinamide nucleotide transhydrogenase (NNT). We also found in five mouse strains a positive correlation (r 2  = 0.90, p < 0.01) between NNT activity and first-phase insulin secretion, emphasising the importance of this enzyme in beta cell function. Furthermore, of these five strains, only those with high NNT activity are known to exhibit severe diabetes after becoming obese.

Conclusions/interpretation Insulin hypersecretion is associated with increased Nnt expression. We suggest that NNT must play an important role in beta cell function and that its effect on the high insulin secretory capacity of the DBA/2 mouse may predispose beta cells of these mice to failure.

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Human impacts through habitat destruction, introduction of invasive species and climate change are increasing the number of species threatened with extinction. Decreases in population size simultaneously lead to reductions in genetic diversity, ultimately reducing the ability of populations to adapt to a changing environment. In this way, loss of genetic polymorphism is linked with extinction risk. Recent advances in sequencing technologies mean that obtaining measures of genetic diversity at functionally important genes is within reach for conservation programs. A key region of the genome that should be targeted for population genetic studies is the Major Histocompatibility Complex (MHC). MHC genes, found in all jawed vertebrates, are the most polymorphic genes in vertebrate genomes. They play key roles in immune function via immune-recognition and -surveillance and host-parasite interaction. Therefore, measuring levels of polymorphism at these genes can provide indirect measures of the immunological fitness of populations. The MHC has also been linked with mate-choice and pregnancy outcomes and has application for improving mating success in captive breeding programs. The recent discovery that genetic diversity at MHC genes may protect against the spread of contagious cancers provides an added impetus for managing and protecting MHC diversity in wild populations. Here we review the field and focus on the successful applications of MHC-typing for conservation management. We emphasize the importance of using MHC markers when planning and executing wildlife rescue and conservation programs but stress that this should not be done to the detriment of genome-wide diversity.

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The high fat content in Western diets probably affects placental function during pregnancy with potential consequences for the offspring in the short and long term. The aim of the present study was to compare genome-wide placental gene expression between rat dams fed a high-fat diet (HFD) and those fed a control diet for 3 weeks before conception and during gestation. Gene expression was measured by microarray and pathway analysis was performed. Gene expression differences were replicated by real-time PCR and protein expression was assessed by Western blot analysis. Placental and fetal weights at E17.25 were not altered by exposure to the maternal HFD. Gene pathways targeting placental growth, blood supply and chemokine signalling were up-regulated in the placentae of dams fed the HFD. The up-regulation in messenger RNA expression for five genes Ptgs2 (fatty acid cyclo-oxidase 2; COX2), Limk1 (LIM domain kinase 1), Pla2g2a (phospholipase A2), Itga1 (integrin α-1) and Serpine1 was confirmed by real-time PCR. Placental protein expression for COX2 and LIMK was also increased in HFD-fed dams. In conclusion, maternal HFD feeding alters placental gene expression patterns of placental growth and blood supply and specifically increases the expression of genes involved in arachidonic acid and PG metabolism. These changes indicate a placental response to the altered maternal metabolic environment.

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Similar to most cancers, genome-wide DNA methylation profiles are commonly altered in pediatric acute lymphoblastic leukemia (ALL); however, recent observations highlight that a large portion of malignancy-associated DNA methylation alterations are not accompanied by related gene expression changes. By analyzing and integrating the methylome and transcriptome profiles of pediatric B-cell ALL cases and primary tissue controls, we report 325 genes hypermethylated and downregulated and 45 genes hypomethylated and upregulated in pediatric B-cell ALL, irrespective of subtype. Repressed cation channel subunits and cAMP signaling activators and transducers are overrepresented, potentially indicating a reduced cellular potential to receive and propagate apoptotic signals. Furthermore, we report specific DNA methylation alterations with concurrent gene expression changes within individual ALL subtypes. The ETV6-RUNX1 translocation was associated with downregulation of ASNS and upregulation of the EPO-receptor, while Hyperdiploid patients (> 50 chr) displayed upregulation of B-cell lymphoma (BCL) members and repression of PTPRG and FHIT. In combination, these data indicate genetically distinct B-cell ALL subtypes contain cooperative epimutations and genome-wide epigenetic deregulation is common across all B-cell ALL subtypes.

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We aimed to investigate the relationship between genetic and environmental exposure and vitamin D status at age one, stratified by ethnicity. This study included 563 12-month-old infants in the HealthNuts population-based study. DNA from participants' blood samples was genotyped using Sequenom MassARRAY MALDI-TOF system on 28 single nucleotide polymorphisms (SNPs) in six genes. Using logistic regression, we examined associations between environmental exposure and SNPs in vitamin D pathway and filaggrin genes and vitamin D insufficiency (VDI). VDI, defined as serum 25-hydroxyvitamin D3(25(OH)D3) level ≤50 nmol/L, was measured using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Infants were stratified by ethnicity determined by parent's country of birth. Infants formula fed at 12 months were associated with reduced odds of VDI compared to infants with no current formula use at 12 months. This association differed by ethnicity (P;bsubesub;= 0.01). The odds ratio (OR) of VDI was 0.29 for Caucasian infants (95% CI, 0.18-0.47) and 0.04 for Asian infants (95% CI, 0.006-0.23). Maternal vitamin D supplementation during pregnancy and/or breastfeeding were associated with increased odds of infants being VDI (OR, 2.39; 95% CI, 1.11-5.18 and OR, 2.5; 95% CI, 1.20-5.24 respectively). Presence of a minor allele for any GC SNP (rs17467825, rs1155563, rs2282679, rs3755967, rs4588, rs7041) was associated with increased odds of VDI. Caucasian infants homozygous (AA) for rs4588 had an OR of 2.49 of being associated with VDI (95% CI, 1.19-5.18). In a country without routine infant vitamin D supplementation or food chain fortification, formula use is strongly associated with a reduced risk of VDI regardless of ethnicity. There was borderline significance for an association between filaggrin mutations and VDI. However, polymorphisms in vitamin D pathway related genes were associated with increased likelihood of being VDI in infancy. © 2014 Elsevier B.V. All rights reserved.

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In this paper, an evolutionary algorithm is used for developing a decision support tool to undertake multi-objective job-shop scheduling problems. A modified micro genetic algorithm (MmGA) is adopted to provide optimal solutions according to the Pareto optimality principle in solving multi-objective optimisation problems. MmGA operates with a very small population size to explore a wide search space of function evaluations and to improve the convergence score towards the true Pareto optimal front. To evaluate the effectiveness of the MmGA-based decision support tool, a multi-objective job-shop scheduling problem with actual information from a manufacturing company is deployed. The statistical bootstrap method is used to evaluate the experimental results, and compared with those from the enumeration method. The outcome indicates that the decision support tool is able to achieve those optimal solutions as generated by the enumeration method. In addition, the proposed decision support tool has advantage of achieving the results within a fraction of the time.

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A atenção à saúde da população no Brasil gera um grande volume de dados sobre os serviços de saúde prestados. O tratamento adequado destes dados com técnicas de acesso à grande massa de dados pode permitir a extração de informações importantes para um melhor conhecimento do setor saúde. Avaliar o desempenho dos sistemas de saúde através da utilização da massa de dados produzida tem sido uma tendência mundial, uma vez que vários países já mantêm programas de avaliação baseados em dados e indicadores. Neste contexto, A OCDE – Organização para Cooperação e Desenvolvimento Econômico, que é uma organização internacional que avalia as políticas econômicas de seus 34 países membros, possui uma publicação bienal, chamada Health at a Glance, que tem por objetivo fazer a comparação dos sistemas de saúde dos países membros da OCDE. Embora o Brasil não seja um membro, a OCDE procura incluí-lo no cálculo de alguns indicadores, quando os dados estão disponíveis, pois considera o Brasil como uma das maiores economias que não é um país membro. O presente estudo tem por objetivo propor e implementar, com base na metodologia da publicação Health at a Glance de 2015, o cálculo para o Brasil de 22 indicadores em saúde que compõem o domínio “utilização de serviços em saúde” da publicação da OCDE. Para isto foi feito um levantamento das principais bases de dados nacionais em saúde disponíveis que posteriormente foram capturadas, conforme necessidade, através de técnicas para acessar e tratar o grande volume de dados em saúde no Brasil. As bases de dados utilizadas são provenientes de três principais fontes remuneração: SUS, planos privados de saúde e outras fontes de remuneração como, por exemplo, planos públicos de saúde, DPVAT e particular. A realização deste trabalho permitiu verificar que os dados em saúde disponíveis publicamente no Brasil podem ser usados na avaliação do desempenho do sistema de saúde, e além de incluir o Brasil no benchmark internacional dos países da OCDE nestes 22 indicadores, promoveu a comparação destes indicadores entre o setor público de saúde do Brasil, o SUS, e o setor de planos privados de saúde, a chamada saúde suplementar. Além disso, também foi possível comparar os indicadores calculados para o SUS para cada UF, demonstrando assim as diferenças na prestação de serviços de saúde nos estados do Brasil para o setor público. A análise dos resultados demonstrou que, em geral, o Brasil comparado com os países da OCDE apresenta um desempenho abaixo da média dos demais países, o que indica necessidade de esforços para atingir um nível mais alto na prestação de serviços em saúde que estão no âmbito de avaliação dos indicadores calculados. Quando segmentado entre SUS e saúde suplementar, a análise dos resultados dos indicadores do Brasil aponta para uma aproximação do desempenho do setor de saúde suplementar em relação à média dos demais países da OCDE, e por outro lado um distanciamento do SUS em relação a esta média. Isto evidencia a diferença no nível de prestação de serviços dentro do Brasil entre o SUS e a saúde suplementar. Por fim, como proposta de melhoria na qualidade dos resultados obtidos neste estudo sugere-se o uso da base de dados do TISS/ANS para as informações provenientes do setor de saúde suplementar, uma vez que o TISS reflete toda a troca de informações entre os prestadores de serviços de saúde e as operadoras de planos privados de saúde para fins de pagamento dos serviços prestados.

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Preeclampsia is a spectral disease, with different clinical forms which can evolve with severe multisystemic complications. This present study aimed to determine the risk factors associated with preeclampsia (PE); to validate the existence of aggregation of hypertensive disease in families of women with preeclampsia and verify the existence of association between polymorphisms in the VEGF gene and level of VEGF and its soluble receptor (sFlt1). A case-control study was performed (n = 851). Genotyping of VEGF was performed and serum levels of VEGF and sFlt1 were measured by ELISA. It was observed that 38% of mothers (173, 455) of a case of preeclampsia and 30.8% (78 of 361) of controls had history of hypertension (p <0.0001). Similarly, when examining the history of maternal preeclampsia, we observed that 14.6% (48 of 328) of mothers of women with preeclampsia and 9.6% (12 of 294) of mothers of controls had a history of preeclampsia (p = 0.0001). As for maternal history of preeclampsia, we found that 5.1% (15 of 295) of cases and 3.6% (7 of 314) of controls had a history of preeclampsia (p = 0.0568). Sisters of women with preeclampsia also had a history of hypertensive disease in 9% (41 of 455) versus 6.6% (13 of 361), p = 0.002. Similarly when examining the history of preeclampsia in sisters, it was observed that 22.7% (57 of 251) of a sister of case versus 11.4% (26 of 228) of controls had a history of preeclampsia (P = 0.0011). We observed a decrease in free VEGF in the serum of patients (P <0.05) and increased soluble VEGF receptor. There was no association between polymorphisms in the VEGF gene and preeclampsia. The data obtained in this work validate that hypertensive disease in mothers and sisters with preeclampsia are risk factors for preeclampsia. The risk of illness in the family is higher according to disease severity. High incidence of preeclampsia can be assumed by the high incidence of this disease among the controls. Significant differences between the frequency of preeclampsia in mothers of cases and controls indicate familial factors. Work is being conducted with the to eventually perform genome wide association studies to identify susceptibility loci

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Speech and language disorders are some of the most common referral reasons to child development centers accounting for approximately 40% of cases. Stuttering is a disorder in which involuntary repetition, prolongation, or cessation of the sound precludes the flow of speech. About 5% of individuals in the general population have a stuttering problem, and about 80% of the affected children recover naturally. The causal factors of stuttering remain uncertain in most cases; studies suggest that genetic factors are responsible for 70% of the variance in liability for stuttering, whereas the remaining 30% is due to environmental effects supporting a complex cause of the disorder. The use of high-resolution genome wide array comparative genomic hybridization has proven to be a powerful strategy to narrow down candidate regions for complex disorders. We report on a case with a complex set of speech and language difficulties including stuttering who presented with a 10Mb deletion of chromosome region 7q33-35 causing the deletion of several genes and the disruption of CNTNAP2 by deleting the first three exons of the gene. CNTNAP2 is known to be involved in the cause of language and speech disorders and autism spectrum disorder and is in the same pathway as FOXP2, another important language gene, which makes it a candidate gene for causal studies speech and language disorders such as stuttering. (C) 2010 Wiley-Liss, Inc.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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We report a method for studying global DNA methylation based on using bisulfite treatment of DNA and simultaneous PCR of multiple DNA repetitive elements, such as Alu elements and long interspersed nucleotide elements (LINE). The PCR product, which represents a pool of approximately 15000 genomic loci, could be used for direct sequencing, selective restriction digestion or pyrosequencing, in order to quantitate DNA methylation. By restriction digestion or pyrosequencing, the assay was reproducible with a standard deviation of only 2% between assays. Using this method we found that almost two-thirds of the CpG methylation sites in Alu elements are mutated, but of the remaining methylation target sites, 87% were methylated. Due to the heavy methylation of repetitive elements, this assay was especially useful in detecting decreases in DNA methylation, and this assay was validated by examining cell lines treated with the methylation inhibitor 5-aza-2'deoxycytidine (DAC), where we found a 1-16% decrease in Alu element and 18-60% LINE methylation within 3 days of treatment. This method can be used as a surrogate marker of genome-wide methylation changes. In addition, it is less labor intensive and requires less DNA than previous methods of assessing global DNA methylation.

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Amelogenesis imperfecta (AI) is a collective term used to describe phenotypically diverse forms of defective tooth enamel development. AI has been reported to exhibit a variety of inheritance patterns, and several loci have been identified that are associated with AI. We have performed a genome-wide scan in a large Brazilian family segregating an autosomal dominant form of AI and mapped a novel locus to 8q24.3. A maximum multipoint LOD score of 7.5 was obtained at marker D8S2334 (146,101,309 bp). The disease locus lies in a 1.9 cM (2.1 Mb) region according to the Rutgers Combined Linkage-Physical map, between a VNTR marker (at 143,988,705 bp) and the telomere (146,274,826 bp). Ten candidate genes were identified based on gene ontology and microarray-facilitated gene selection using the expression of murine orthologues in dental tissue, and examined for the presence of a mutation. However, no causative mutation was identified.