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3 results on '"Fernadez O"'

1. Smart Partnerships to Increase Equity in Education

Author

Leahy, M., Davis, N., Lewin, C., Charania, A., Hasniza Nordin, Orlič, D., Butler, D., and Lopez-Fernadez, O.

Abstract

This exploratory analysis of smart partnerships identifies the risk of increasing the digital divide with the deployment of data analytics. Smart partnerships in education appear to include a process of evolution into a synergy of strategic and holistic approaches that enhance the quality of education with digital technologies, harnessing ICT “smartly” both in relation to learning and support of the partnership itself. To guide strategic development as data analytics start to emerge in the schooling sector, two cases of large multi-stakeholder partnership initiatives aiming to increase access to education with ICT nationwide in India and Malaysia are analyzed. Mapping the partners’ collaborative activities in Davis’ Arena of change with digital technologies enabled the identification of both local and global influences in that ecological framework, which inform the choice of partners and their roles to increase equitable access to education. Research and development is recommended so that multi-stakeholder partnerships leverage data analytics alongside technology enhanced learning in the schooling sector with strategies that proactively increase equity.

Published
2016

2. Smart Partnerships to Increase Equity in Education

Author

Leahy, M, Davis, N, Lewin, C, Charania, A, Nordin, H, Orlič, D, Butler, D, Lopez-Fernadez, O, Leahy, M, Davis, N, Lewin, C, Charania, A, Nordin, H, Orlič, D, Butler, D, and Lopez-Fernadez, O

Abstract

This exploratory analysis of smart partnerships identifies the risk of increasing the digital divide with the deployment of data analytics. Smart partnerships in education appear to include a process of evolution into a synergy of strategic and holistic approaches that enhance the quality of education with digital technologies, harnessing ICT “smartly” both in relation to learning and support of the partnership itself. To guide strategic development as data analytics start to emerge in the schooling sector, two cases of large multi-stakeholder partnership initiatives aiming to increase access to education with ICT nationwide in India and Malaysia are analyzed. Mapping the partners’ collaborative activities in Davis’ Arena of change with digital technologies enabled the identification of both local and global influences in that ecological framework, which inform the choice of partners and their roles to increase equitable access to education. Research and development is recommended so that multi-stakeholder partnerships leverage data analytics alongside technology enhanced learning in the schooling sector with strategies that proactively increase equity.

Published
2016

3. Closing the case of APOE in multiple sclerosis: no association with disease risk in over 29 000 subjects.

Author

Lill CM, Liu T, Schjeide BM, Roehr JT, Akkad DA, Damotte V, Alcina A, Ortiz MA, Arroyo R, Lopez de Lapuente A, Blaschke P, Winkelmann A, Gerdes LA, Luessi F, Fernadez O, Izquierdo G, Antigüedad A, Hoffjan S, Cournu-Rebeix I, Gromöller S, Faber H, Liebsch M, Meissner E, Chanvillard C, Touze E, Pico F, Corcia P, Dörner T, Steinhagen-Thiessen E, Baeckman L, Heekeren HR, Li SC, Lindenberger U, Chan A, Hartung HP, Aktas O, Lohse P, Kümpfel T, Kubisch C, Epplen JT, Zettl UK, Fontaine B, Vandenbroeck K, Matesanz F, Urcelay E, Bertram L, and Zipp F

Subjects
Databases, Genetic, Humans, Polymorphism, Single Nucleotide genetics, Risk Factors, White People genetics, Apolipoproteins E genetics, Genetic Association Studies, Genetic Predisposition to Disease, Multiple Sclerosis genetics
Abstract

Background: Single nucleotide polymorphisms (SNPs) rs429358 (ε4) and rs7412 (ε2), both invoking changes in the amino-acid sequence of the apolipoprotein E (APOE) gene, have previously been tested for association with multiple sclerosis (MS) risk. However, none of these studies was sufficiently powered to detect modest effect sizes at acceptable type-I error rates. As both SNPs are only imperfectly captured on commonly used microarray genotyping platforms, their evaluation in the context of genome-wide association studies has been hindered until recently., Methods: We genotyped 12 740 subjects hitherto not studied for their APOE status, imputed raw genotype data from 8739 subjects from five independent genome-wide association studies datasets using the most recent high-resolution reference panels, and extracted genotype data for 8265 subjects from previous candidate gene assessments., Results: Despite sufficient power to detect associations at genome-wide significance thresholds across a range of ORs, our analyses did not support a role of rs429358 or rs7412 on MS susceptibility. This included meta-analyses of the combined data across 13 913 MS cases and 15 831 controls (OR=0.95, p=0.259, and OR 1.07, p=0.0569, for rs429358 and rs7412, respectively)., Conclusion: Given the large sample size of our analyses, it is unlikely that the two APOE missense SNPs studied here exert any relevant effects on MS susceptibility.

Published
2012
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