Um caso para competências: avaliar o valor do traço-baseado: Avaliação de desempenho para os funcionários não-faculdade da Universidade

A case study analyzed how supervisors at one university selected competencies, or trait-based skills, for non-faculty employees. This case study provides a valuable contribution by focusing on employees at one institution type–a large, public research university. While it has been documented that non-faculty employees provide important contributions to higher education, there is more to be discovered about this population of university employee, noted as more than 2 million U.S. employees in 2011. The research question guiding this study was: Within a university setting, how are employee competencies valued by job title within colleges and divisions? Multiple correspondence analysis evaluated supervisor competency selection for 1,836 non-supervisory and 565 supervisory employees using data from this university’s 2012 performance appraisal. For non-supervisory employees, the first dimension accounted for 65.11% of adjusted inertia, or explained variance. The second dimension accounted for 23.89% of adjusted inertia. For supervisory employees, the first dimension accounted for 86.57% of adjusted inertia. The second dimension accounted for 8.26% of adjusted inertia. The key study finding was that, despite the availability of other higher-education specific competency alternatives and best practices for competency use in the appraisal, this institution’s implementation of competencies was found to be mechanical. This study proposed best practices for this and similarly situated institutions as to how competencies can be used to develop employees and improve their performance.Un estudio de caso analizado cómo supervisores en una Universidad seleccionan las competencias o habilidades basadas en el rasgo, no Facultad empleados. Este estudio de caso proporciona una valiosa contribución al centrarse en los empleados en un tipo de institución, una Universidad de investigación grande, público. Mientras que se ha documentado que no Facultad empleados brindan importantes aportes a la educación superior, hay más por descubrir acerca de esta población de empleados de la Universidad, señaló como empleados de los Estados Unidos más de 2 millones en 2011. ¿Fue la pregunta de investigación que guía este estudio: dentro de un ámbito universitario, cómo son las competencias del empleado valoradas por título del trabajo en universidades y divisiones?  Análisis de correspondencia múltiple había evaluado supervisor competencias selección de 1.836 no supervisión y 565 empleados supervisión utilizando los datos de evaluación del desempeño de la Universidad 2012. Empleados sin supervisión, la primera dimensión representaron el 65.11% de inercia ajustada o explicó la varianza. La segunda dimensión 23.89% de inercia ajustada. Para los empleados de supervisión, la primera dimensión representaron 86.57% de inercia ajustada. La segunda dimensión 8.26% de inercia ajustada. El hallazgo clave del estudio fue a pesar de la disponibilidad de otras alternativas de la competencia específica de la educación superior y las mejores prácticas para el uso de competencias en la evaluación, implementación de esta institución de competencias fue encontrado para ser mecánico. Este estudio propone instituciones situación similar en cuanto a cómo las competencias se pueden utilizar para desarrollar a empleados y mejorar su desempeño y mejores prácticas para esto.Um estudo de caso analisado como supervisores numa Universidade selecionado competências ou habilidades baseadas em traço, para os empregados não-docente. Este estudo de caso fornece uma contribuição valiosa, centrando-se sobre os funcionários em um tipo de instituição – uma grande, pública, Universidade. Embora tem sido documentado que os funcionários não-faculdade fornecem importantes contribuições para o ensino superior, há mais a ser descoberto sobre esta população de funcionários da Universidade, observou-se como funcionários de Estados Unidos mais de 2 milhões em 2011. A pergunta de pesquisa orientar este estudo foi: dentro de um cenário de Universidade, como são competências do empregado valorizadas pelo cargo dentro de faculdades e divisões? Análise de correspondência múltipla avaliada seleção de competências de supervisor para 1.836 não-supervisão e 565 funcionários supervisão usando os dados de avaliação de desempenho de 2012 da Universidade. Para empregados não-supervisão, primeira dimensão representou 65.11% da inércia ajustada ou variância, explicou. A segunda dimensão representou 23.89% da inércia ajustada. Para funcionários de fiscalização, a primeira dimensão representou 86.57% de inércia ajustada. A segunda dimensão representaram 8.26% da inércia ajustada. A conclusão do estudo chave era que apesar da disponibilidade de outras alternativas de competência específica de ensino superior e as melhores práticas para uso de competência na avaliação, implementação desta instituição de competências foi encontrada para ser mecânico. Este estudo propõe-se similarmente situadas instituições quanto como competências podem ser usadas para desenvolver os funcionários e melhorar o seu desempenho e melhores práticas para isso

Prioritization of knowledge-needs to achieve best practices for bottom trawling in relation to seabed habitats

Management and technical approaches that achieve a sustainable level of fish production while at the same time minimizing or limiting the wider ecological effects caused through fishing gear contact with the seabed might be considered to be ‘best practice’. To identify future knowledge-needs that would help to support a transition towards the adoption of best practices for trawling, a prioritization exercise was undertaken with a group of 39 practitioners from the seafood industry and management, and 13 research scientists who have an active research interest in bottom-trawl and dredge fisheries. A list of 108 knowledge-needs related to trawl and dredge fisheries was developed in conjunction with an ‘expert task force’. The long list was further refined through a three stage process of voting and scoring, including discussions of each knowledge-need. The top 25 knowledge-needs are presented, as scored separately by practitioners and scientists. There was considerable consistency in the priorities identified by these two groups. The top priority knowledge-need to improve current understanding on the distribution and extent of different habitat types also reinforced the concomitant need for the provision and access to data on the spatial and temporal distribution of all forms of towed bottom-fishing activities. Many of the other top 25 knowledge-needs concerned the evaluation of different management approaches or implementation of different fishing practices, particularly those that explore trade-offs between effects of bottom trawling on biodiversity and ecosystem services and the benefits of fish production as food.Fil: Kaiser, Michel J.. Bangor University; Reino UnidoFil: Hilborn, Ray. University of Washington; Estados UnidosFil: Jennings, Simon. Fisheries and Aquaculture Science; Reino UnidoFil: Amaroso, Ricky. University of Washington; Estados UnidosFil: Andersen, Michael. Danish Fishermen; DinamarcaFil: Balliet, Kris. Sustainable Fisheries Partnership; Estados UnidosFil: Barratt, Eric. Sanford Limited; Nueva ZelandaFil: Bergstad, Odd A. Institute of Marine Research; NoruegaFil: Bishop, Stephen. Independent Fisheries Ltd; Nueva ZelandaFil: Bostrom, Jodi L. Marine Stewardship Council; Reino UnidoFil: Boyd, Catherine. Clearwater Seafoods; CanadáFil: Bruce, Eduardo A. Friosur S.A.; ChileFil: Burden, Merrick. Marine Conservation Alliance; Estados UnidosFil: Carey, Chris. Independent Fisheries Ltd.; Estados UnidosFil: Clermont, Jason. New England Aquarium; Estados UnidosFil: Collie, Jeremy S. University of Rhode Island,; Estados UnidosFil: Delahunty, Antony. National Federation of Fishermen; Reino UnidoFil: Dixon, Jacqui. Pacific Andes International Holdings Limited; ChinaFil: Eayrs, Steve. Gulf of Maine Research Institute; Estados UnidosFil: Edwards, Nigel. Seachill Ltd.; Reino UnidoFil: Fujita, Rod. Environmental Defense Fund; Reino UnidoFil: Gauvin, John. Alaska Seafood Cooperative; Estados UnidosFil: Gleason, Mary. The Nature Conservancy; Estados UnidosFil: Harris, Brad. Alaska Pacific University; Estados UnidosFil: He, Pingguo. University of Massachusetts Dartmouth; Estados UnidosFil: Hiddink, Jan G. Bangor University; Reino UnidoFil: Hughes, Kathryn M. Bangor University; Reino UnidoFil: Inostroza, Mario. EMDEPES; ChileFil: Kenny, Andrew. Fisheries and Aquaculture Science; Reino UnidoFil: Kritzer, Jake. Environmental Defense Fund; Estados UnidosFil: Kuntzsch, Volker. Sanford Limited; Estados UnidosFil: Lasta, Mario. Diag. Montegrande N° 7078. Mar del Plata; ArgentinaFil: Lopez, Ivan. Confederacion Española de Pesca; EspañaFil: Loveridge, Craig. South Pacific Regional Fisheries Management Organisation; Nueva ZelandaFil: Lynch, Don. Gorton; Estados UnidosFil: Masters, Jim. Marine Conservation Society; Reino UnidoFil: Mazor, Tessa. CSIRO Marine and Atmospheric Research; AustraliaFil: McConnaughey, Robert A. US National Marine Fisheries Service; Estados UnidosFil: Moenne, Marcel. Pacificblu; ChileFil: Francis. Marine Scotland Science; Reino UnidoFil: Nimick, Aileen M. Alaska Pacific University; Estados UnidosFil: Olsen, Alex. A. Espersen; DinamarcaFil: Parker, David. Young; Reino UnidoFil: Parma, Ana María. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; ArgentinaFil: Penney, Christine. Clearwater Seafoods; CanadáFil: Pierce, David. Massachusetts Division of Marine Fisheries; Estados UnidosFil: Pitcher, Roland. CSIRO Marine and Atmospheric Research; AustraliaFil: Pol, Michael. Massachusetts Division of Marine Fisheries; Estados UnidosFil: Richardson, Ed. Pollock Conservation Cooperative; Estados UnidosFil: Rijnsdorp, Adriaan D. Wageningen IMARES; Países BajosFil: Rilatt, Simon. A. Espersen; DinamarcaFil: Rodmell, Dale P. National Federation of Fishermen's Organisations; Reino UnidoFil: Rose, Craig. FishNext Research; Estados UnidosFil: Sethi, Suresh A. Alaska Pacific University; Estados UnidosFil: Short, Katherine. F.L.O.W. Collaborative; Nueva ZelandaFil: Suuronen, Petri. Fisheries and Aquaculture Department; ItaliaFil: Taylor, Erin. New England Aquarium; Estados UnidosFil: Wallace, Scott. The David Suzuki Foundation; CanadáFil: Webb, Lisa. Gorton's Inc.; Estados UnidosFil: Wickham, Eric. Unit four –1957 McNicoll Avenue; CanadáFil: Wilding, Sam R. Monterey Bay Aquarium; Estados UnidosFil: Wilson, Ashley. Department for Environment; Reino UnidoFil: Winger, Paul. Memorial University Of Newfoundland; CanadáFil: Sutherland, William J. University of Cambridge; Reino Unid

An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk

Abstract: It remains elusive whether some of the associations identified in genome-wide association studies of prostate cancer (PrCa) may be due to regulatory effects of genetic variants on CpG sites, which may further influence expression of PrCa target genes. To search for CpG sites associated with PrCa risk, here we establish genetic models to predict methylation (N = 1,595) and conduct association analyses with PrCa risk (79,194 cases and 61,112 controls). We identify 759 CpG sites showing an association, including 15 located at novel loci. Among those 759 CpG sites, methylation of 42 is associated with expression of 28 adjacent genes. Among 22 genes, 18 show an association with PrCa risk. Overall, 25 CpG sites show consistent association directions for the methylation-gene expression-PrCa pathway. We identify DNA methylation biomarkers associated with PrCa, and our findings suggest that specific CpG sites may influence PrCa via regulating expression of candidate PrCa target genes

The CHEK2 Variant C.349A>G Is Associated with Prostate Cancer Risk and Carriers Share a Common Ancestor.

The identification of recurrent founder variants in cancer predisposing genes may have important implications for implementing cost-effective targeted genetic screening strategies. In this study, we evaluated the prevalence and relative risk of the CHEK2 recurrent variant c.349A>G in a series of 462 Portuguese patients with early-onset and/or familial/hereditary prostate cancer (PrCa), as well as in the large multicentre PRACTICAL case-control study comprising 55,162 prostate cancer cases and 36,147 controls. Additionally, we investigated the potential shared ancestry of the carriers by performing identity-by-descent, haplotype and age estimation analyses using high-density SNP data from 70 variant carriers belonging to 11 different populations included in the PRACTICAL consortium. The CHEK2 missense variant c.349A>G was found significantly associated with an increased risk for PrCa (OR 1.9; 95% CI: 1.1-3.2). A shared haplotype flanking the variant in all carriers was identified, strongly suggesting a common founder of European origin. Additionally, using two independent statistical algorithms, implemented by DMLE+2.3 and ESTIAGE, we were able to estimate the age of the variant between 2300 and 3125 years. By extending the haplotype analysis to 14 additional carrier families, a shared core haplotype was revealed among all carriers matching the conserved region previously identified in the high-density SNP analysis. These findings are consistent with CHEK2 c.349A>G being a founder variant associated with increased PrCa risk, suggesting its potential usefulness for cost-effective targeted genetic screening in PrCa families

Comradeship of Cock? Gay porn and the entrepreneurial voyeur

Thirty years of academic and critical scholarship on the subject of gay porn have born witness to significant changes not only in the kinds of porn produced for, and watched by, gay men, but in the modes of production and distribution of that porn, and the legal, economic and social contexts in which it has been made, sold/shared, and watched. Those thirty years have also seen a huge shift in the cultural and political position of gay men, especially in the US and UK, and other apparently ‘advanced’ democracies. Those thirty years of scholarship on the topic of gay porn have produced one striking consensus, which is that gay cultures are especially ‘pornified’: porn has arguably offered gay men not only homoerotic visibility, but a heritage culture and a radical aesthetic. However, neoliberal cultures have transformed the operation and meaning of sexuality, installing new standards of performativity and display, and new responsibilities attached to a ‘democratisation’ that offers women and men apparently expanded terms for articulating both their gender and their sexuality. Does gay porn still have the same urgency in this context? At the level of politics and cultural dissent, what’s ‘gay’ about gay porn now? This essay questions the extent to which processes of legal and social liberalization, and the emergence of networked and digital cultures, have foreclosed or expanded the apparently liberationary opportunities of gay porn. The essay attempts to map some of the political implications of the ‘pornification’ of gay culture on to ongoing debates about materiality, labour and the entrepreneurial subject by analyzing gay porn blogs

Fast and efficient QTL mapper for thousands of molecular phenotypes

In order to discover quantitative trait loci, multi-dimensional genomic datasets combining DNA-seq and ChiP-/RNA-seq require methods that rapidly correlate tens of thousands of molecular phenotypes with millions of genetic variants while appropriately controlling for multiple testing

Fine-mapping of prostate cancer susceptibility loci in a large meta-analysis identifies candidate causal variants

Prostate cancer is a polygenic disease with a large heritable component. A number of common, low-penetrance prostate cancer risk loci have been identified through GWAS. Here we apply the Bayesian multivariate variable selection algorithm JAM to fine-map 84 prostate cancer susceptibility loci, using summary data from a large European ancestry meta-analysis. We observe evidence for multiple independent signals at 12 regions and 99 risk signals overall. Only 15 original GWAS tag SNPs remain among the catalogue of candidate variants identified; the remainder are replaced by more likely candidates. Biological annotation of our credible set of variants indicates significant enrichment within promoter and enhancer elements, and transcription factor-binding sites, including AR, ERG and FOXA1. In 40 regions at least one variant is colocalised with an eQTL in prostate cancer tissue. The refined set of candidate variants substantially increase the proportion of familial relative risk explained by these known susceptibility regions, which highlights the importance of fine-mapping studies and has implications for clinical risk profiling. © 2018 The Author(s).Prostate cancer is a polygenic disease with a large heritable component. A number of common, low-penetrance prostate cancer risk loci have been identified through GWAS. Here we apply the Bayesian multivariate variable selection algorithm JAM to fine-map 84 prostate cancer susceptibility loci, using summary data from a large European ancestry meta-analysis. We observe evidence for multiple independent signals at 12 regions and 99 risk signals overall. Only 15 original GWAS tag SNPs remain among the catalogue of candidate variants identified; the remainder are replaced by more likely candidates. Biological annotation of our credible set of variants indicates significant enrichment within promoter and enhancer elements, and transcription factor-binding sites, including AR, ERG and FOXA1. In 40 regions at least one variant is colocalised with an eQTL in prostate cancer tissue. The refined set of candidate variants substantially increase the proportion of familial relative risk explained by these known susceptibility regions, which highlights the importance of fine-mapping studies and has implications for clinical risk profiling. © 2018 The Author(s).Peer reviewe

Germline variation at 8q24 and prostate cancer risk in men of European ancestry

Chromosome 8q24 is a susceptibility locus for multiple cancers, including prostate cancer. Here we combine genetic data across the 8q24 susceptibility region from 71,535 prostate cancer cases and 52,935 controls of European ancestry to define the overall contribution of germline variation at 8q24 to prostate cancer risk. We identify 12 independent risk signals for prostate cancer (p < 4.28 × 10−15), including three risk variants that have yet to be reported. From a polygenic risk score (PRS) model, derived to assess the cumulative effect of risk variants at 8q24, men in the top 1% of the PRS have a 4-fold (95%CI = 3.62–4.40) greater risk compared to the population average. These 12 variants account for ~25% of what can be currently explained of the familial risk of prostate cancer by known genetic risk factors. These findings highlight the overwhelming contribution of germline variation at 8q24 on prostate cancer risk which has implications for population risk stratification

Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction.

Prostate cancer is a highly heritable disease with large disparities in incidence rates across ancestry populations. We conducted a multiancestry meta-analysis of prostate cancer genome-wide association studies (107,247 cases and 127,006 controls) and identified 86 new genetic risk variants independently associated with prostate cancer risk, bringing the total to 269 known risk variants. The top genetic risk score (GRS) decile was associated with odds ratios that ranged from 5.06 (95% confidence interval (CI), 4.84-5.29) for men of European ancestry to 3.74 (95% CI, 3.36-4.17) for men of African ancestry. Men of African ancestry were estimated to have a mean GRS that was 2.18-times higher (95% CI, 2.14-2.22), and men of East Asian ancestry 0.73-times lower (95% CI, 0.71-0.76), than men of European ancestry. These findings support the role of germline variation contributing to population differences in prostate cancer risk, with the GRS offering an approach for personalized risk prediction