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3 results on '"van Enckevort, E. (Esther)"'

1. LongITools:dynamic longitudinal exposome trajectories in cardiovascular and metabolic noncommunicable diseases

Author

Ronkainen, J. (Justiina), Nedelec, R. (Rozenn), Atehortua, A. (Angelica), Balkhiyarova, Z. (Zhanna), Cascarano, A. (Anna), Elhakeem, A. (Ahmed), van Enckevort, E. (Esther), Soares, A. G. (Ana Goncalves), Haakma, S. (Sido), Halonen, M. (Miia), Heil, K. F. (Katharina F.), Heiskala, A. (Anni), Hyde, E. (Eleanor), Jacquemin, B. (Benedicte), Keikkala, E. (Elina), Kerckhoffs, J. (Jules), Klavus, A. (Anton), Kopinska, J. A. (Joanna A.), Lepeule, J. (Johanna), Marazzi, F. (Francesca), Motoc, I. (Irina), Näätänen, M. (Mari), Ribbenstedt, A. (Anton), Rundblad, A. (Amanda), Savolainen, O. (Otto), Simonetti, V. (Valentina), Eadie, N. d. (Nina de Toro), Tzala, E. (Evangelia), Ulrich, A. (Anna), Wright, T. (Thomas), Zarei, I. (Iman), d'Amico, E. (Enrico), Belotti, F. (Federico), Brunius, C. (Carl), Castleton, C. (Christopher), Charles, M.-A. (Marie-Aline), Gaillard, R. (Romy), Hanhineva, K. (Kati), Hoek, G. (Gerard), Holven, K. B. (Kirsten B.), Jaddoe, V. W. (Vincent W. V.), Kaakinen, M. A. (Marika A.), Kajantie, E. (Eero), Kavousi, M. (Maryam), Lakka, T. (Timo), Matthews, J. (Jason), Mortari, A. P. (Andrea Piano), Vääräsmäki, M. (Marja), Voortman, T. (Trudy), Webster, C. (Claire), Zins, M. (Marie), Atella, V. (Vincenzo), Bulgheroni, M. (Maria), Chadeau-Hyam, M. (Marc), Conti, G. (Gabriella), Evans, J. (Jayne), Felix, J. F. (Janine F.), Heude, B. (Barbara), Järvelin, M.-R. (Marjo-Riitta), Kolehmainen, M. (Marjukka), Landberg, R. (Rikard), Lekadir, K. (Karim), Parusso, S. (Stefano), Prokopenko, I. (Inga), de Rooij, S. R. (Susanne R.), Roseboom, T. (Tessa), Swertz, M. (Morris), Timpson, N. (Nicholas), Ulven, S. M. (Stine M.), Vermeulen, R. (Roel), Juola, T. (Teija), Sebert, S. (Sylvain), Ronkainen, J. (Justiina), Nedelec, R. (Rozenn), Atehortua, A. (Angelica), Balkhiyarova, Z. (Zhanna), Cascarano, A. (Anna), Elhakeem, A. (Ahmed), van Enckevort, E. (Esther), Soares, A. G. (Ana Goncalves), Haakma, S. (Sido), Halonen, M. (Miia), Heil, K. F. (Katharina F.), Heiskala, A. (Anni), Hyde, E. (Eleanor), Jacquemin, B. (Benedicte), Keikkala, E. (Elina), Kerckhoffs, J. (Jules), Klavus, A. (Anton), Kopinska, J. A. (Joanna A.), Lepeule, J. (Johanna), Marazzi, F. (Francesca), Motoc, I. (Irina), Näätänen, M. (Mari), Ribbenstedt, A. (Anton), Rundblad, A. (Amanda), Savolainen, O. (Otto), Simonetti, V. (Valentina), Eadie, N. d. (Nina de Toro), Tzala, E. (Evangelia), Ulrich, A. (Anna), Wright, T. (Thomas), Zarei, I. (Iman), d'Amico, E. (Enrico), Belotti, F. (Federico), Brunius, C. (Carl), Castleton, C. (Christopher), Charles, M.-A. (Marie-Aline), Gaillard, R. (Romy), Hanhineva, K. (Kati), Hoek, G. (Gerard), Holven, K. B. (Kirsten B.), Jaddoe, V. W. (Vincent W. V.), Kaakinen, M. A. (Marika A.), Kajantie, E. (Eero), Kavousi, M. (Maryam), Lakka, T. (Timo), Matthews, J. (Jason), Mortari, A. P. (Andrea Piano), Vääräsmäki, M. (Marja), Voortman, T. (Trudy), Webster, C. (Claire), Zins, M. (Marie), Atella, V. (Vincenzo), Bulgheroni, M. (Maria), Chadeau-Hyam, M. (Marc), Conti, G. (Gabriella), Evans, J. (Jayne), Felix, J. F. (Janine F.), Heude, B. (Barbara), Järvelin, M.-R. (Marjo-Riitta), Kolehmainen, M. (Marjukka), Landberg, R. (Rikard), Lekadir, K. (Karim), Parusso, S. (Stefano), Prokopenko, I. (Inga), de Rooij, S. R. (Susanne R.), Roseboom, T. (Tessa), Swertz, M. (Morris), Timpson, N. (Nicholas), Ulven, S. M. (Stine M.), Vermeulen, R. (Roel), Juola, T. (Teija), and Sebert, S. (Sylvain)

Abstract

The current epidemics of cardiovascular and metabolic noncommunicable diseases have emerged alongside dramatic modifications in lifestyle and living environments. These correspond to changes in our ”modern” postwar societies globally characterized by rural-to-urban migration, modernization of agricultural practices, and transportation, climate change, and aging. Evidence suggests that these changes are related to each other, although the social and biological mechanisms as well as their interactions have yet to be uncovered. LongITools, as one of the 9 projects included in the European Human Exposome Network, will tackle this environmental health equation linking multidimensional environmental exposures to the occurrence of cardiovascular and metabolic noncommunicable diseases.

Published
2022

2. Life course of retrospective harmonization initiatives:key elements to consider

Author

Fortier, I. (Isabel), Wey, T. W. (Tina W.), Bergeron, J. (Julie), de Moira, A. P. (Angela Pinot), Nybo-Andersen, A.-M. (Anne-Marie), Bishop, T. (Tom), Murtagh, M. J. (Madeleine J.), Miočević, M. (Milica), Swertz, M. A. (Morris A.), van Enckevort, E. (Esther), Marcon, Y. (Yannick), Mayrhofer, M. T. (Michaela. Th.), Ornelas, J. P. (Jos Pedro), Sebert, S. (Sylvain), Santos, A. C. (Ana Cristina), Rocha, A. (Artur), Wilson, R. C. (Rebecca C.), Griffith, L. E. (Lauren E.), Burton, P. (Paul), Fortier, I. (Isabel), Wey, T. W. (Tina W.), Bergeron, J. (Julie), de Moira, A. P. (Angela Pinot), Nybo-Andersen, A.-M. (Anne-Marie), Bishop, T. (Tom), Murtagh, M. J. (Madeleine J.), Miočević, M. (Milica), Swertz, M. A. (Morris A.), van Enckevort, E. (Esther), Marcon, Y. (Yannick), Mayrhofer, M. T. (Michaela. Th.), Ornelas, J. P. (Jos Pedro), Sebert, S. (Sylvain), Santos, A. C. (Ana Cristina), Rocha, A. (Artur), Wilson, R. C. (Rebecca C.), Griffith, L. E. (Lauren E.), and Burton, P. (Paul)

Abstract

Optimizing research on the developmental origins of health and disease (DOHaD) involves implementing initiatives maximizing the use of the available cohort study data; achieving sufficient statistical power to support subgroup analysis; and using participant data presenting adequate follow-up and exposure heterogeneity. It also involves being able to undertake comparison, cross-validation, or replication across data sets. To answer these requirements, cohort study data need to be findable, accessible, interoperable, and reusable (FAIR), and more particularly, it often needs to be harmonized. Harmonization is required to achieve or improve comparability of the putatively equivalent measures collected by different studies on different individuals. Although the characteristics of the research initiatives generating and using harmonized data vary extensively, all are confronted by similar issues. Having to collate, understand, process, host, and co-analyze data from individual cohort studies is particularly challenging. The scientific success and timely management of projects can be facilitated by an ensemble of factors. The current document provides an overview of the ‘life course’ of research projects requiring harmonization of existing data and highlights key elements to be considered from the inception to the end of the project.

Published
2022

3. The EU Child Cohort Network’s core data:establishing a set of findable, accessible, interoperable and re-usable (FAIR) variables

Author

Pinot de Moira, A. (Angela), Haakma, S. (Sido), Strandberg-Larsen, K. (Katrine), van Enckevort, E. (Esther), Kooijman, M. (Marjolein), Cadman, T. (Tim), Cardol, M. (Marloes), Corpeleijn, E. (Eva), Crozier, S. (Sarah), Duijts, L. (Liesbeth), Elhakeem, A. (Ahmed), Eriksson, J. G. (Johan G.), Felix, J. F. (Janine F.), Fernandez-Barres, S. (Silvia), Foong, R. E. (Rachel E.), Forhan, A. (Anne), Grote, V. (Veit), Guerlich, K. (Kathrin), Heude, B. (Barbara), Huang, R.-C. (Rae-Chi), Järvelin, M.-R. (Marjo-Riitta), Jorgensen, A. C. (Anne Cathrine), Mikkola, T. M. (Tuija M.), Nader, J. L. (Johanna L. T.), Pedersen, M. (Marie), Popovic, M. (Maja), Rautio, N. (Nina), Richiardi, L. (Lorenzo), Ronkainen, J. (Justiina), Roumeliotaki, T. (Theano), Salika, T. (Theodosia), Sebert, S. (Sylvain), Vinther, J. L. (Johan L.), Voerman, E. (Ellis), Vrijheid, M. (Martine), Wright, J. (John), Yang, T. C. (Tiffany C.), Zariouh, F. (Faryal), Charles, M.-A. (Marie-Aline), Inskip, H. (Hazel), Jaddoe, V. W. (Vincent W. V.), Swertz, M. A. (Morris A.), Nybo Andersen, A.-M. (Anne-Marie), Pinot de Moira, A. (Angela), Haakma, S. (Sido), Strandberg-Larsen, K. (Katrine), van Enckevort, E. (Esther), Kooijman, M. (Marjolein), Cadman, T. (Tim), Cardol, M. (Marloes), Corpeleijn, E. (Eva), Crozier, S. (Sarah), Duijts, L. (Liesbeth), Elhakeem, A. (Ahmed), Eriksson, J. G. (Johan G.), Felix, J. F. (Janine F.), Fernandez-Barres, S. (Silvia), Foong, R. E. (Rachel E.), Forhan, A. (Anne), Grote, V. (Veit), Guerlich, K. (Kathrin), Heude, B. (Barbara), Huang, R.-C. (Rae-Chi), Järvelin, M.-R. (Marjo-Riitta), Jorgensen, A. C. (Anne Cathrine), Mikkola, T. M. (Tuija M.), Nader, J. L. (Johanna L. T.), Pedersen, M. (Marie), Popovic, M. (Maja), Rautio, N. (Nina), Richiardi, L. (Lorenzo), Ronkainen, J. (Justiina), Roumeliotaki, T. (Theano), Salika, T. (Theodosia), Sebert, S. (Sylvain), Vinther, J. L. (Johan L.), Voerman, E. (Ellis), Vrijheid, M. (Martine), Wright, J. (John), Yang, T. C. (Tiffany C.), Zariouh, F. (Faryal), Charles, M.-A. (Marie-Aline), Inskip, H. (Hazel), Jaddoe, V. W. (Vincent W. V.), Swertz, M. A. (Morris A.), and Nybo Andersen, A.-M. (Anne-Marie)

Abstract

The Horizon2020 LifeCycle Project is a cross-cohort collaboration which brings together data from multiple birth cohorts from across Europe and Australia to facilitate studies on the influence of early-life exposures on later health outcomes. A major product of this collaboration has been the establishment of a FAIR (findable, accessible, interoperable and reusable) data resource known as the EU Child Cohort Network. Here we focus on the EU Child Cohort Network’s core variables. These are a set of basic variables, derivable by the majority of participating cohorts and frequently used as covariates or exposures in lifecourse research. First, we describe the process by which the list of core variables was established. Second, we explain the protocol according to which these variables were harmonised in order to make them interoperable. Third, we describe the catalogue developed to ensure that the network’s data are findable and reusable. Finally, we describe the core data, including the proportion of variables harmonised by each cohort and the number of children for whom harmonised core data are available. EU Child Cohort Network data will be analysed using a federated analysis platform, removing the need to physically transfer data and thus making the data more accessible to researchers. The network will add value to participating cohorts by increasing statistical power and exposure heterogeneity, as well as facilitating cross-cohort comparisons, cross-validation and replication. Our aim is to motivate other cohorts to join the network and encourage the use of the EU Child Cohort Network by the wider research community.

Published
2021

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