Representativeness of the European social partner organisations : Industrial cleaning sector

Aquesta publicació s'elabora a partir de les contribucions de cadascú dels membres nacionals que integren la Network of Eufound Correspondent. Pel cas d'Espanya la contribució ha estat realitzada per l'Alejandro GodinoThis study provides information to allow for an assessment of the representativeness of the actors involved in the European sectoral social dialogue committee for the industrial cleaning sector. Their relative representativeness legitimises their right to be consulted, their role and effective participation in the European sectoral social dialogue, and their capacity to negotiate agreements. The aim of Eurofound's representativeness studies is to identify the relevant national and European social partner organisations in the field of industrial relations in selected sectors in the EU Member States. This study identified the European Cleaning and Facility Services Industry (EFCI) (representing employers) and UNI Europa (representing employees) as the most representative European-level social partner organisations in the industrial cleaning sector

Representativeness of the European social partner organisations : private security sector

Aquesta publicació s'elabora a partir de les contribucions de cadascú dels membres nacionals que integren la Network of Eufound Correspondent. Pel cas d'Espanya la contribució ha estat realitzada per l'Oscar MolinaThis study provides information allowing for an assessment of the representativeness of the actors involved in the European sectoral social dialogue committee for the private security sector. Their relative representativeness legitimises their right to be consulted, their role and effective participation in the European sectoral social dialogue and their capacity to negotiate agreements. The aim of Eurofound's representativeness studies is to identify the relevant national and European social partner organisations in the field of industrial relations in the EU Member States. This study identified the Confederation of European of Security Services (CoESS) (representing employers) and UNI Europa Private Security (representing employees) as the most representative European-level social partner organisations in the private security sector

Representativeness of the European social partner organisations : education sector

Aquesta publicació s'elabora a partir de les contribucions de cadascú dels membres nacionals que integren la Network of Eufound Correspondent. Pel cas d'Espanya la contribució ha estat realitzada per l'Oscar MolinaThis study provides information allowing for an assessment of the representativeness of the actors involved in the European sectoral social dialogue committee for the education sector. Their relative representativeness legitimises their right to be consulted, their role and effective participation in the European sectoral social dialogue and their capacity to negotiate agreements. The aim of Eurofound's representativeness studies is to identify the relevant national and European social partner organisations in the field of industrial relations in the EU Member States. This study identified the European Federation of Education Employers (EFEE - representing employers) and the European Trade Union Committee for Education (ETUCE - representing employees) as the most representative European-level social partner organisations in the education sector. The European Public Service Union (EPSU) and the European Confederation of Independent Trade Unions (CESI) also organise workers in the sector in several EU Member States and the UK

Association of whole-genome and NETRIN1 signaling pathway-derived polygenic risk scores for Major Depressive Disorder and white matter microstructure in UK Biobank

Background: Major depressive disorder is a clinically heterogeneous psychiatric disorder with a polygenic architecture. Genome-wide association studies have identified a number of risk-associated variants across the genome and have reported growing evidence of NETRIN1 pathway involvement. Stratifying disease risk by genetic variation within the NETRIN1 pathway may provide important routes for identification of disease mechanisms by focusing on a specific process, excluding heterogeneous risk-associated variation in other pathways. Here, we sought to investigate whether major depressive disorder polygenic risk scores derived from the NETRIN1 signaling pathway (NETRIN1-PRSs) and the whole genome, excluding NETRIN1 pathway genes (genomic-PRSs), were associated with white matter microstructure. Methods: We used two diffusion tensor imaging measures, fractional anisotropy (FA) and mean diffusivity (MD), in the most up-to-date UK Biobank neuroimaging data release (FA: n = 6401; MD: n = 6390). Results: We found significantly lower FA in the superior longitudinal fasciculus (β = −.035, p =.029) and significantly higher MD in a global measure of thalamic radiations (β =.029, p =.021), as well as higher MD in the superior (β =.034, p =.039) and inferior (β =.029, p =.043) longitudinal fasciculus and in the anterior (β =.025, p =.046) and superior (β =.027, p =.043) thalamic radiation associated with NETRIN1-PRS. Genomic-PRS was also associated with lower FA and higher MD in several tracts. Conclusions: Our findings indicate that variation in the NETRIN1 signaling pathway may confer risk for major depressive disorder through effects on a number of white matter tracts

Association of Whole-Genome and NETRIN1 Signaling Pathway-Derived Polygenic Risk Scores for Major Depressive Disorder and White Matter Microstructure in the UK Biobank

BACKGROUND: Major depressive disorder is a clinically heterogeneous psychiatric disorder with a polygenic architecture. Genome-wide association studies have identified a number of risk-associated variants across the genome and have reported growing evidence of NETRIN1 pathway involvement. Stratifying disease risk by genetic variation within the NETRIN1 pathway may provide important routes for identification of disease mechanisms by focusing on a specific process, excluding heterogeneous risk-associated variation in other pathways. Here, we sought to investigate whether major depressive disorder polygenic risk scores derived from the NETRIN1 signaling pathway (NETRIN1-PRSs) and the whole genome, excluding NETRIN1 pathway genes (genonnic-PRSs), were associated with white matter microstructure