349 research outputs found

    Age group, location or pedagogue: factors affecting parental choice of kindergartens in Hungary

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    Hungary has experienced significant political, economic, demographic and social changes since the end of Soviet domination in the 1990s. The gradual move towards liberal-democracy has been accompanied by growing emphasis on individualism, choice and diversity. Universal kindergarten provision for 5-6 year olds is a long established feature of the Hungarian education system, but little is known about parental choice (Török, 2004). A case study (Yin, 2004) of factors influencing parental choice and satisfaction was undertaken in one Hungarian town. This was based on a survey of 251 parents of children attending both mixed-age and same-age groups across 12 kindergartens. Parents suggested that the most important influences were geographical location and the individual pedagogue(s). Given that traditionally each pedagogue follows ‘their’ cohort from kindergarten entry to primary school, their influence appears heightened. Although generally satisfied with their chosen arrangement, parents from same-age groups expressed significantly more confidence and satisfaction, particularly in relation to cognitive development and preparation for school. Parents appear less convinced about the trend towards mixed-age groups and questions are raised about sufficiency of evidence of their benefits in a Hungarian context and the driving factors behind change

    Clinical application of tumour-in-normal contamination assessment from whole genome sequencing

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    The unexpected contamination of normal samples with tumour cells reduces variant detection sensitivity, compromising downstream analyses in canonical tumour-normal analyses. Leveraging whole-genome sequencing data available at Genomics England, we develop a tool for normal sample contamination assessment, which we validate in silico and against minimal residual disease testing. From a systematic review of 771 patients with haematological malignancies and sarcomas, we find contamination across a range of cancer clinical indications and DNA sources, with highest prevalence in saliva samples from acute myeloid leukaemia patients, and sorted CD3+ T-cells from myeloproliferative neoplasms. Further exploration reveals 108 hotspot mutations in genes associated with haematological cancers at risk of being subtracted by standard variant calling pipelines. Our work highlights the importance of contamination assessment for accurate somatic variants detection in research and clinical settings, especially with large-scale sequencing projects being utilised to deliver accurate data from which to make clinical decisions for patient care

    Hybrid cloud computing architecture based on open source technology

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    The advance of technologies such as distributed computing, Internetand grid computing, have enabled Cloud Computing to become part of a new model of computing and business. Cloud Computing is transforming the traditional ways in which companies use and acquire Information Technology (IT) resources. After an initial boom in Public Cloud, companies begun to mount hybrid Clouds that offer the advantages of Cloud Computing in addition to the privacy of data they consider strategic. A hybrid Cloud solution allows the integration of both systems. Leading companies in cloud solutions have understood this evolution and begun to offer hybrid solutions. Moreover, many of these companies are taking the next step by offering solutions based on open source standards that allow a high degree of interoperability and portability

    Manganese [III] tetrakis [5,10,15,20]-benzoic acid porphyrin reduces adiposity and improves insulin action in mice with pre-existing obesity

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    The superoxide dismutase mimetic manganese [III] tetrakis [5,10,15,20]-benzoic acid porphyrin (MnTBAP) is a potent antioxidant compound that has been shown to limit weight gain during short-term high fat feeding without preventing insulin resistance. However, whether MnTBAP has therapeutic potential to treat pre-existing obesity and insulin resistance remains unknown. To investigate this, mice were treated with MnTBAP or vehicle during the last five weeks of a 24-week high fat diet (HFD) regimen. MnTBAP treatment significantly decreased body weight and reduced white adipose tissue (WAT) mass in mice fed a HFD and a low fat diet (LFD). The reduction in adiposity was associated with decreased caloric intake without significantly altering energy expenditure, indicating that MnTBAP decreases adiposity in part by modulating energy balance. MnTBAP treatment also improved insulin action in HFD-fed mice, a physiologic response that was associated with increased protein kinase B (PKB) phosphorylation and expression in muscle and WAT. Since MnTBAP is a metalloporphyrin molecule, we hypothesized that its ability to promote weight loss and improve insulin sensitivity was regulated by heme oxygenase-1 (HO-1), in a similar fashion as cobalt protoporphyrins. Despite MnTBAP treatment increasing HO-1 expression, administration of the potent HO-1 inhibitor tin mesoporphyrin (SnMP) did not block the ability of MnTBAP to alter caloric intake, adiposity, or insulin action, suggesting that MnTBAP influences these metabolic processes independent of HO-1. These data demonstrate that MnTBAP can ameliorate pre-existing obesity and improve insulin action by reducing caloric intake and increasing PKB phosphorylation and expression

    Identifying Cis-Regulatory Sequences by Word Profile Similarity

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    Recognizing regulatory sequences in genomes is a continuing challenge, despite a wealth of available genomic data and a growing number of experimentally validated examples.We discuss here a simple approach to search for regulatory sequences based on the compositional similarity of genomic regions and known cis-regulatory sequences. This method, which is not limited to searching for predefined motifs, recovers sequences known to be under similar regulatory control. The words shared by the recovered sequences often correspond to known binding sites. Furthermore, we show that although local word profile clustering is predictive for the regulatory sequences involved in blastoderm segmentation, local dissimilarity is a more universal feature of known regulatory sequences in Drosophila.Our method leverages sequence motifs within a known regulatory sequence to identify co-regulated sequences without explicitly defining binding sites. We also show that regulatory sequences can be distinguished from surrounding sequences by local sequence dissimilarity, a novel feature in identifying regulatory sequences across a genome. Source code for WPH-finder is available for download at http://rana.lbl.gov/downloads/wph.tar.gz

    Equity in cancer genomics in the UK: a cross-sectional analysis of a national cancer cohort

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    Background: Most research on genetic screening and precision oncology is based on individuals of European ancestry. We applied the National Health Service (NHS) England's cancer variant prioritisation workflow to evaluate the performance of these approaches in ethinically and ancestrally diverse populations. The second aim of the study was to assess the representativeness of the 100 000 Genomes Project cancer cohort of the population of England. Methods: In this cross-sectional analysis, whole-genome sequencing data from patients with cancer recruited into the 100 000 Genomes Project between February 2015 to December 2018 were analysed. Clinical information, including tumour stage and grade, was gathered from the NHS England National Cancer Registration and Analysis Service. Patients with cancer types with fewer than five individuals, haematological cancers, childhood cancers, unknown primary carcinomas, patients with indeterminate sex, and patients missing somatic mutations in genes were excluded. To assess ethnicity representation in the 100 000 Genomes Project, we calculated the recruitment ratios for self-reported ethnicities for patients with cancer recruited to the 100 000 Genomes Project and patients with cancer in England. We also analysed differences in classification rates for potentially pathogenic variants to assess ancestry-related differences in germline and somatic mutations of different ancestry groups. Findings: 14 775 patients with cancer were recruited between February, 2015, and December, 2018, into the 100 000 Genomes Project. There was no evidence of under-representation of diverse ethnic groups in the 100 000 Genomes Project when compared with the national statistics. The recruitment rate ratio for breast cancer was 2·2 (95% CI 1·6–3·0) for Black versus White women in the 100 000 Genomes Project compared with 0·81 (0·79–0·83) for Black versus White women in the national data (fold-change in rate ratios 2·7; 95% CI 2·0–3·7, p<0·0001), suggesting higher representation of Black women in the 100 000 Genomes Project than expected given the ethnicity-specific incidence rates in England. Compared with national rates, the 100 000 Genomes Project also had higher recruitment rates of Black versus White men with prostate cancer (fold-change in rate ratios 3·7; 1·8–7·5, p=0·0004), Black versus White men with bladder cancer (fold change in rate ratios 6·1; 2·0–18·8, p=0·0016), and Asian versus White women with breast cancer (fold change in rate ratios 1·4; 1·2–1·7, p=0·0008). Ancestry had a significant association with the likelihood of carrying a variant classified as a potentially pathogenic (likelihood ratio test p=0·0011). Potentially pathogenic variants were identified in 23 (4·6%) of 500 South Asian (adjusted model odds ratio [OR] 1·88, 95% CI 1·21–2·93, p=0·0052) and 24 (5·3%) of 453 African ancestry patients (OR 2·24, 1·44–3·48, p=0·0003) compared with 263 (2·2%) of 11 955 in European-ancestry patients. However, we found that fewer tumour mutations in actionable genes were identified for patients of non-European ancestry compared with patients of European ancestry when adjusting for sex and cancer type (likelihood ratio test p<0·0001). Interpretation: The was an excess of germline variants classified as potentially pathogenic variants in patients with non-European ancestry, which might impede the diagnostic process. Improved variant prioritisation workflows and more research in diverse groups are needed to ensure equitable implementation of genomics in cancer care

    Genomic characterization of a repetitive motif strongly associated with developmental genes in Drosophila

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    BACKGROUND: Non-coding DNA represents a high proportion of all metazoan genomes. Although an undetermined fraction of this DNA may be considered devoid of any function, it also contains important information residing in specific cis-regulatory sequences. RESULTS: We report a 27 bp motif that is overrepresented within the fly genome. This motif does not show any significant similarity with transposon sequences and is strongly associated with genes involved in development and/or signal transduction. The 27 bp motif is preferentially located within introns, and has a tendency to be present in multiple copies around genes. Furthermore, it is often found embedded in known non-coding regulatory regions. The regulatory network defined by this motif is partially shared in D. pseudoobscura. CONCLUSION: We have identified a 27 bp cis-regulatory sequence widely distributed within the Drosophila genome in association with developmental genes. This motif may be very useful towards the annotation of functional regulatory regions within the Drosophila genome and the construction of regulatory networks of Drosophila development

    Truncating Homozygous Mutation of Carboxypeptidase E (CPE) in a Morbidly Obese Female with Type 2 Diabetes Mellitus, Intellectual Disability and Hypogonadotrophic Hypogonadism

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    Carboxypeptidase E is a peptide processing enzyme, involved in cleaving numerous peptide precursors, including neuropeptides and hormones involved in appetite control and glucose metabolism. Exome sequencing of a morbidly obese female from a consanguineous family revealed homozygosity for a truncating mutation of the CPE gene (c.76_98del; p.E26RfsX68). Analysis detected no CPE expression in whole blood-derived RNA from the proband, consistent with nonsense-mediated decay. The morbid obesity, intellectual disability, abnormal glucose homeostasis and hypogonadotrophic hypogonadism seen in this individual recapitulates phenotypes in the previously described fat/fat and Cpe knockout mouse models, evidencing the importance of this peptide/hormone-processing enzyme in regulating body weight, metabolism, and brain and reproductive function in humans.The Section of Investigative Medicine is funded by grants from the Medical Research Council, Biotechnology and Biological Sciences Research Council (BBSRC), National Institute for Health Research (NIHR), an Integrative Mammalian Biology (IMB) Capacity Building Award, an FP7- HEALTH- 2009- 241592 EuroCHIP grant, and is supported by the NIHR Imperial Biomedical Research Centre Funding Scheme. This work was also funded by a project grant from Diabetes UK to AB and RW, and Biomedical Research Centre awards to AB, RW, MVH and CLR. Authors AB and AG are each also funded by the UK Medical Research Council. JB is also funded by the Wellcome Trust. The Imperial Genomics Facility is funded by the NIHR Imperial BRC. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript

    Statistical significance of cis-regulatory modules

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    BACKGROUND: It is becoming increasingly important for researchers to be able to scan through large genomic regions for transcription factor binding sites or clusters of binding sites forming cis-regulatory modules. Correspondingly, there has been a push to develop algorithms for the rapid detection and assessment of cis-regulatory modules. While various algorithms for this purpose have been introduced, most are not well suited for rapid, genome scale scanning. RESULTS: We introduce methods designed for the detection and statistical evaluation of cis-regulatory modules, modeled as either clusters of individual binding sites or as combinations of sites with constrained organization. In order to determine the statistical significance of module sites, we first need a method to determine the statistical significance of single transcription factor binding site matches. We introduce a straightforward method of estimating the statistical significance of single site matches using a database of known promoters to produce data structures that can be used to estimate p-values for binding site matches. We next introduce a technique to calculate the statistical significance of the arrangement of binding sites within a module using a max-gap model. If the module scanned for has defined organizational parameters, the probability of the module is corrected to account for organizational constraints. The statistical significance of single site matches and the architecture of sites within the module can be combined to provide an overall estimation of statistical significance of cis-regulatory module sites. CONCLUSION: The methods introduced in this paper allow for the detection and statistical evaluation of single transcription factor binding sites and cis-regulatory modules. The features described are implemented in the Search Tool for Occurrences of Regulatory Motifs (STORM) and MODSTORM software
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