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@article{Agier:2020:ije/dyaa017,
author = {Agier, L and Basagaña, X and Hernandez-Ferrer, C and Maitre, L and Tamayo, Uria I and Urquiza, J and Andrusaityte, S and Casas, M and de, Castro M and Cequier, E and Chatzi, L and Donaire-Gonzalez, D and Giorgis-Allemand, L and Gonzalez, JR and Grazuleviciene, R and Gützkow, KB and Haug, LS and Sakhi, AK and McEachan, RRC and Meltzer, HM and Nieuwenhuijsen, M and Robinson, O and Roumeliotaki, T and Sunyer, J and Thomsen, C and Vafeiadi, M and Valentin, A and West, J and Wright, J and Siroux, V and Vrijheid, M and Slama, R},
doi = {ije/dyaa017},
journal = {International Journal of Epidemiology},
pages = {572--586},
title = {Association between the pregnancy exposome and fetal growth},
url = {http://dx.doi.org/10.1093/ije/dyaa017},
volume = {49},
year = {2020}
}

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TY  - JOUR
AB  - BackgroundSeveral environmental contaminants were shown to possibly influence fetal growth, generally from single exposure family studies, which are prone to publication bias and confounding by co-exposures. The exposome paradigm offers perspectives to avoid selective reporting of findings and to control for confounding by co-exposures. We aimed to characterize associations of fetal growth with the pregnancy chemical and external exposomes.MethodsWithin the Human Early-Life Exposome project, 131 prenatal exposures were assessed using biomarkers and environmental models in 1287 mother–child pairs from six European cohorts. We investigated their associations with fetal growth using a deletion-substitution-addition (DSA) algorithm considering all exposures simultaneously, and an exposome-wide association study (ExWAS) considering each exposure independently. We corrected for exposure measurement error and tested for exposure–exposure and sex–exposure interactions.ResultsThe DSA model identified lead blood level, which was associated with a 97 g birth weight decrease for each doubling in lead concentration. No exposure passed the multiple testing-corrected significance threshold of ExWAS; without multiple testing correction, this model was in favour of negative associations of lead, fine particulate matter concentration and absorbance with birth weight, and of a positive sex-specific association of parabens with birth weight in boys. No two-way interaction between exposure variables was identified.ConclusionsThis first large-scale exposome study of fetal growth simultaneously considered >100 environmental exposures. Compared with single exposure studies, our approach allowed making all tests (usually reported in successive publications) explicit. Lead exposure is still a health concern in Europe and parabens health effects warrant further investigation.
AU  - Agier,L
AU  - Basagaña,X
AU  - Hernandez-Ferrer,C
AU  - Maitre,L
AU  - Tamayo,Uria I
AU  - Urquiza,J
AU  - Andrusaityte,S
AU  - Casas,M
AU  - de,Castro M
AU  - Cequier,E
AU  - Chatzi,L
AU  - Donaire-Gonzalez,D
AU  - Giorgis-Allemand,L
AU  - Gonzalez,JR
AU  - Grazuleviciene,R
AU  - Gützkow,KB
AU  - Haug,LS
AU  - Sakhi,AK
AU  - McEachan,RRC
AU  - Meltzer,HM
AU  - Nieuwenhuijsen,M
AU  - Robinson,O
AU  - Roumeliotaki,T
AU  - Sunyer,J
AU  - Thomsen,C
AU  - Vafeiadi,M
AU  - Valentin,A
AU  - West,J
AU  - Wright,J
AU  - Siroux,V
AU  - Vrijheid,M
AU  - Slama,R
DO  - ije/dyaa017
EP  - 586
PY  - 2020///
SN  - 0300-5771
SP  - 572
TI  - Association between the pregnancy exposome and fetal growth
T2  - International Journal of Epidemiology
UR  - http://dx.doi.org/10.1093/ije/dyaa017
UR  - http://hdl.handle.net/10044/1/78581
VL  - 49
ER  -

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