TY - JOUR
T1 - The LifeCycle Project-EU Child Cohort Network
T2 - a federated analysis infrastructure and harmonized data of more than 250,000 children and parents
AU - Jaddoe, Vincent W.V.
AU - Felix, Janine F.
AU - Andersen, Anne Marie Nybo
AU - Charles, Marie Aline
AU - Chatzi, Leda
AU - Corpeleijn, Eva
AU - Donner, Nina
AU - Elhakeem, Ahmed
AU - Eriksson, Johan G.
AU - Foong, Rachel
AU - Grote, Veit
AU - Haakma, Sido
AU - Hanson, Mark
AU - Harris, Jennifer R.
AU - Heude, Barbara
AU - Huang, Rae Chi
AU - Inskip, Hazel M.
AU - Järvelin, Marjo Riitta
AU - Koletzko, Berthold
AU - Lawlor, Deborah A.
AU - Lindeboom, Maarten
AU - McEachan, Rosemary R.C.
AU - Mikkola, Tuija M M.
AU - Nader, Johanna L.T.
AU - de Moira, Angela Pinot
AU - Pizzi, Costanza
AU - Richiardi, Lorenzo
AU - Sebert, Sylvain
AU - Schwalber, Ameli
AU - Sunyer, Jordi
AU - Swertz, Morris A.
AU - Vafeiadi, Marina
AU - Vrijheid, Martine
AU - Wright, John
AU - Duijts, Liesbeth
AU - El Marroun, Hanan
AU - Gaillard, Romy
AU - Santos, Susana
AU - Geurtsen, Madelon L.
AU - Kooijman, Marjolein N.
AU - Mensink-Bout, Sara M.
AU - Vehmeijer, Florianne O.L.
AU - Voerman, Ellis
AU - Nieuwenhuijsen, Mark
AU - Basagaña, Xavier
AU - Bustamante, Mariona
AU - Casas, Maribel
AU - de Castro, Montserrat
AU - Cirugeda, Lourdes E.
AU - Fernández-Barrés, Sílvia
AU - Fossati, Serena
AU - Garcia, Raquel
AU - Júlvez, Jordi
AU - Lertxundi, Aitana C.
AU - Lertxundi, Nerea
AU - Llop, Sabrina
AU - López-Vicente, Mònica
AU - Lopez-Espinosa, Maria Jose B.
AU - Maitre, Lea
AU - Murcia, Mario
AU - Lea, Jose
AU - Urquiza, H.
AU - Warembourg, Charline
AU - Zugna, Daniela
AU - Popovic, Maja
AU - Isaevska, Elena
AU - Maule, Milena
AU - Moccia, Chiara
AU - Moirano, Giovenale
AU - Rasella, Davide
AU - Hanson, Mark A.
AU - Inskip, Hazel M.
AU - Jacob, Chandni Maria
AU - Salika, Theodosia
AU - Cadman, Tim
AU - Strandberg-Larsen, Katrine M.
AU - Pedersen, Marie
AU - Vinther, Johan L.
AU - Wilson, Paul
AU - Mason, Dan
AU - Yang, Tiffany C.
AU - Cardol, Marloes
AU - van Enckevoort, Esther
AU - Hyde, Eleanor
AU - Scholtens, Salome
AU - Snieder, Harold
AU - Thio, Chris H.L.
AU - Chatzi, Lida
AU - Margetaki, Katerina C.A.
AU - Roumeliotaki, Theano
AU - Nader, Johanna L.
AU - Knudsen, Gun Peggy
AU - Magnus, Per
AU - Panico, Lidia
AU - Ichou, Mathieu
AU - de Lauzon-Guillain, Blandine
AU - Dargent-Molina, Patricia
AU - Cornet, Maxime
AU - Florian, Sandra M.
AU - Harrar, Faryal
AU - Lepeule, Johanna
AU - Lioret, Sandrine
AU - Melchior, Maria
AU - Plancoulaine, Sabine
AU - Männikkö, Minna
AU - Parmar, Priyanka
AU - Rautio, Nina
AU - Ronkainen, Justiina
AU - Tolvanen, Mimmi
AU - Mikkola, Tuija M M.
AU - Aumüller, Nicole
AU - Closa-Monasterolo, Ricardo
AU - Escribano, Joaquin
AU - Ferré, Natalia
AU - Gruszfeld, Dariusz
AU - Gürlich, Kathrin
AU - Langhendries, Jean Paul
AU - Luque, Veronica
AU - Riva, Enrica
AU - Schwarzfischer, Phillipp
AU - Totzauer, Martina
AU - Verduci, Elvira
AU - Xhonneux, Annick
AU - Zaragoza-Jordana, Marta
AU - Schwalber, Amelie
AU - Foong, Rachel E.
AU - Hall, Graham L.
AU - Lin, Ashleigh
AU - Carson, Jennie
AU - Melton, Phillip
AU - Rauschert, Sebastian
AU - LifeCycle Project Group
PY - 2020/1/1
Y1 - 2020/1/1
N2 - Early life is an important window of opportunity to improve health across the full lifecycle. An accumulating body of evidence suggests that exposure to adverse stressors during early life leads to developmental adaptations, which subsequently affect disease risk in later life. Also, geographical, socio-economic, and ethnic differences are related to health inequalities from early life onwards. To address these important public health challenges, many European pregnancy and childhood cohorts have been established over the last 30 years. The enormous wealth of data of these cohorts has led to important new biological insights and important impact for health from early life onwards. The impact of these cohorts and their data could be further increased by combining data from different cohorts. Combining data will lead to the possibility of identifying smaller effect estimates, and the opportunity to better identify risk groups and risk factors leading to disease across the lifecycle across countries. Also, it enables research on better causal understanding and modelling of life course health trajectories. The EU Child Cohort Network, established by the Horizon2020-funded LifeCycle Project, brings together nineteen pregnancy and childhood cohorts, together including more than 250,000 children and their parents. A large set of variables has been harmonised and standardized across these cohorts. The harmonized data are kept within each institution and can be accessed by external researchers through a shared federated data analysis platform using the R-based platform DataSHIELD, which takes relevant national and international data regulations into account. The EU Child Cohort Network has an open character. All protocols for data harmonization and setting up the data analysis platform are available online. The EU Child Cohort Network creates great opportunities for researchers to use data from different cohorts, during and beyond the LifeCycle Project duration. It also provides a novel model for collaborative research in large research infrastructures with individual-level data. The LifeCycle Project will translate results from research using the EU Child Cohort Network into recommendations for targeted prevention strategies to improve health trajectories for current and future generations by optimizing their earliest phases of life.
AB - Early life is an important window of opportunity to improve health across the full lifecycle. An accumulating body of evidence suggests that exposure to adverse stressors during early life leads to developmental adaptations, which subsequently affect disease risk in later life. Also, geographical, socio-economic, and ethnic differences are related to health inequalities from early life onwards. To address these important public health challenges, many European pregnancy and childhood cohorts have been established over the last 30 years. The enormous wealth of data of these cohorts has led to important new biological insights and important impact for health from early life onwards. The impact of these cohorts and their data could be further increased by combining data from different cohorts. Combining data will lead to the possibility of identifying smaller effect estimates, and the opportunity to better identify risk groups and risk factors leading to disease across the lifecycle across countries. Also, it enables research on better causal understanding and modelling of life course health trajectories. The EU Child Cohort Network, established by the Horizon2020-funded LifeCycle Project, brings together nineteen pregnancy and childhood cohorts, together including more than 250,000 children and their parents. A large set of variables has been harmonised and standardized across these cohorts. The harmonized data are kept within each institution and can be accessed by external researchers through a shared federated data analysis platform using the R-based platform DataSHIELD, which takes relevant national and international data regulations into account. The EU Child Cohort Network has an open character. All protocols for data harmonization and setting up the data analysis platform are available online. The EU Child Cohort Network creates great opportunities for researchers to use data from different cohorts, during and beyond the LifeCycle Project duration. It also provides a novel model for collaborative research in large research infrastructures with individual-level data. The LifeCycle Project will translate results from research using the EU Child Cohort Network into recommendations for targeted prevention strategies to improve health trajectories for current and future generations by optimizing their earliest phases of life.
KW - Birth cohorts
KW - Consortium
KW - Exposome
KW - Life course
KW - Non-communicable diseases
UR - http://www.scopus.com/inward/record.url?scp=85088518015&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85088518015&partnerID=8YFLogxK
U2 - 10.1007/s10654-020-00662-z
DO - 10.1007/s10654-020-00662-z
M3 - Article
C2 - 32705500
AN - SCOPUS:85088518015
SN - 0393-2990
VL - 35
SP - 709
EP - 724
JO - European Journal of Epidemiology
JF - European Journal of Epidemiology
IS - 7
ER -