47 research outputs found

    Genetic Loci Involved in Antibody Response to Mycobacterium avium ssp. paratuberculosis in Cattle

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    Background: Mycobacterium avium subsp. paratuberculosis (MAP) causes chronic enteritis in a wide range of animal species. In cattle, MAP causes a chronic disease called Johne's disease, or paratuberculosis, that is not treatable and the efficacy of vaccine control is controversial. The clinical phase of the disease is characterised by diarrhoea, weight loss, drop in milk production and eventually death. Susceptibility to MAP infection is heritable with heritability estimates ranging from 0.06 to 0.10. There have been several studies over the last few years that have identified genetic loci putatively associated with MAP susceptibility, however, with the availability of genome-wide high density SNP maker panels it is now possible to carry out association studies that have higher precision. Methodology/Principal Findings: The objective of the current study was to localize genes having an impact on Johne's disease susceptibility using the latest bovine genome information and a high density SNP panel (Illumina BovineSNP50 BeadChip) to perform a case/control, genome-wide association analysis. Samples from MAP case and negative controls were selected from field samples collected in 2007 and 2008 in the province of Lombardy, Italy. Cases were defined as animals serologically positive for MAP by ELISA. In total 966 samples were genotyped: 483 MAP ELISA positive and 483 ELISA negative. Samples were selected randomly among those collected from 119 farms which had at least one positive animal. Conclusion/Significance: The analysis of the genotype data identified several chromosomal regions associated with disease status: a region on chromosome 12 with high significance (P<5 710-6), while regions on chromosome 9, 11, and 12 had moderate significance (P<5 710-5). These results provide evidence for genetic loci involved in the humoral response to MAP. Knowledge of genetic variations related to susceptibility will facilitate the incorporation of this information into breeding programmes for the improvement of health status

    The Protein-Protein Interaction tasks of BioCreative III: classification/ranking of articles and linking bio-ontology concepts to full text

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    BACKGROUND: Determining usefulness of biomedical text mining systems requires realistic task definition and data selection criteria without artificial constraints, measuring performance aspects that go beyond traditional metrics. The BioCreative III Protein-Protein Interaction (PPI) tasks were motivated by such considerations, trying to address aspects including how the end user would oversee the generated output, for instance by providing ranked results, textual evidence for human interpretation or measuring time savings by using automated systems. Detecting articles describing complex biological events like PPIs was addressed in the Article Classification Task (ACT), where participants were asked to implement tools for detecting PPI-describing abstracts. Therefore the BCIII-ACT corpus was provided, which includes a training, development and test set of over 12,000 PPI relevant and non-relevant PubMed abstracts labeled manually by domain experts and recording also the human classification times. The Interaction Method Task (IMT) went beyond abstracts and required mining for associations between more than 3,500 full text articles and interaction detection method ontology concepts that had been applied to detect the PPIs reported in them.RESULTS:A total of 11 teams participated in at least one of the two PPI tasks (10 in ACT and 8 in the IMT) and a total of 62 persons were involved either as participants or in preparing data sets/evaluating these tasks. Per task, each team was allowed to submit five runs offline and another five online via the BioCreative Meta-Server. From the 52 runs submitted for the ACT, the highest Matthew's Correlation Coefficient (MCC) score measured was 0.55 at an accuracy of 89 and the best AUC iP/R was 68. Most ACT teams explored machine learning methods, some of them also used lexical resources like MeSH terms, PSI-MI concepts or particular lists of verbs and nouns, some integrated NER approaches. For the IMT, a total of 42 runs were evaluated by comparing systems against manually generated annotations done by curators from the BioGRID and MINT databases. The highest AUC iP/R achieved by any run was 53, the best MCC score 0.55. In case of competitive systems with an acceptable recall (above 35) the macro-averaged precision ranged between 50 and 80, with a maximum F-Score of 55. CONCLUSIONS: The results of the ACT task of BioCreative III indicate that classification of large unbalanced article collections reflecting the real class imbalance is still challenging. Nevertheless, text-mining tools that report ranked lists of relevant articles for manual selection can potentially reduce the time needed to identify half of the relevant articles to less than 1/4 of the time when compared to unranked results. Detecting associations between full text articles and interaction detection method PSI-MI terms (IMT) is more difficult than might be anticipated. This is due to the variability of method term mentions, errors resulting from pre-processing of articles provided as PDF files, and the heterogeneity and different granularity of method term concepts encountered in the ontology. However, combining the sophisticated techniques developed by the participants with supporting evidence strings derived from the articles for human interpretation could result in practical modules for biological annotation workflows

    A . (2002) . One role or two? The function of psychological separation in role conflict

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    Student athletes vary in how much they view their academic and athletic role identities as separate from and interfering with each other. The authors investigated the relation of these perceptions to psychological well-being in 200 intercollegiate athletes. Measures included role separation, interference, identity, and well-being. Correlations indicated that interference related negatively to well-being, whereas viewing the roles as distinct related positively to well-being. Regression analyses of demographic and role identity variables also showed a positive association between role separation and well-being, and a significant Separation ϫ Interference interaction. Specifically, role interference was negatively related to well-being for those who viewed the two roles as distinct but unrelated for those who did not. The buffering effects of role separation are discussed

    Meta-analysis of two genome-wide association studies of bovine paratuberculosis

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    Bovine paratuberculosis (ParaTB) also known as Johne's disease, is a contagious fatal disease resulting from infection by Mycobacterium avium subspecies paratuberculosis (MAP). Previous studies have identified loci associated with ParaTB using different measurements to define cases and controls. The objective of this study was to combine the data from two recent studies to identify genetic loci associated with MAP tissue infection and humoral immune response, defined by MAP ELISA-positive cattle, by comparing cases and control animals for one or both measures of infection. The two populations used for the association analyses were a cohort of MAP tissue infected animals and control Holstein cows from the USA and the second cohort composed of ELISA-positive and ELISA-negative Holstein cows from Italy. Altogether 1190 cattle were genotyped with the Illumina BovineSNP50 BeadChip. SNP markers were removed if the minor allele frequency 5%. Animals were removed with >5% genotyping failure. Whole genome association analyses were conducted with the GRAMMAR-CG method using two different definitions of control populations. The analyses identified several loci (P<5 e-05) associated with ParaTB, defined by positive ELISA and presence of bacteria in tissue compared to ELISA and tissue negative animals, on chromosomes 1, 12 and 15 and one unassigned SNP. These results confirmed associations on chromosome 12 and the unassigned SNP with ParaTB which had been found in the Italian population alone. Furthermore, several additional genomic regions were found associated with ParaTB when ELISA and tissue positive animals were compared with tissue negative samples. These loci were on chromosomes 1, 6, 7, 13, 16, 21,23 and 25 (P<5 e-05). The results clearly indicate the importance of the phenotype definition when seeking to identify markers associated with different disease responses

    Manhattan plot displaying the −log<sub>10</sub>(<i>p</i>-value) results of the genome wide scan (Group A).

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    <p>Manhattan plot displaying the −log<sub>10</sub>(<b><i>p</i></b>-value) results of the genome-wide scan using the GRAMMAR-GC method with respect to their Btau4.0 genomic position for an association with <i>Mycobaterium avium</i> subspecies <i>paratuberculosis</i> defining a case as an animal that is <i>MAP</i> ELISA or tissue positive and a control as an animal that is <i>MAP</i> ELISA or tissue negative <b>(Group A)</b>.</p

    SNPs associated with positive ELISA and tissue culture test for <i>MAP</i> infection indentified by joint analysis of two genome-wide association studies in Holstein cattle.

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    1<p>BTA: <i>Bos taurus</i> chromosome.</p>2<p>BTA Position: the Btau4.0 location of the SNPs on the cattle chromosome in base pairs.</p>3<p>UMD Position: the UMD3.0 location of the SNPs on the cattle chromosome in base pairs.</p>4<p>N: number of animals represented in the comparison.</p>5<p>effB Q.2.: effect of the minor allele.</p>6<p>P-values: p-values after GRAMMAR-GC test for association.</p

    Inclusive production of rho0^{0} in nu.p charged current interactions

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    Inclusive\pi^{0} production in neutrino-proton charged-current interactions is studied, using a sample of 7831 events obtained in BEBC filled with hydrogen and exposed to the CERN wideband neutrino beam. An average multiplicity of 0.14+or-0.02 rho ^{0} per event is found, corresponding to a ratio ( rho ^{0})/(\pi^{-}) =0.13+or-0.02. The rho ^{0} production characteristics are determined as functions of leptonic variables (W, Q/sup 2/, x/sub B/) and hadronic variables (x/sub F/, z, p/sub t//sup 2/) and are found to be similar to those determined for hadron- and other lepton-induced reactions
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