Scientific publications
2023
- Fernandes et al. (2023). School‐Based Interventions to Support Healthy Indoor and Outdoor Environments for Children: A Systematic Review. International Journal of Environmental Research and Public Health 20(3):1746.
- Fabbri et al. (2023). Childhood exposure to non-persistent endocrine disrupting chemicals and multi-omic profiles: A panel study. Environment International 173:107856.
- Cano-Sancho et al. (2023). Nutritional Modulation of Associations between Prenatal Exposure to Persistent Organic Pollutants and Childhood Obesity: A Prospective Cohort Study. Environmental Health Perspectives 131(3).
2022
- Stratakis et al. (2022). Urinary metabolic biomarkers of diet quality in European children are associated with metabolic health. eLife 11:e71332.
- Isaevska et al. (2022). Prenatal exposure to PM10 and changes in DNA methylation and telomere length in cord blood. Environmental Research 209: 112717.
- Avraam et al. (2022). A deterministic approach for protecting privacy in sensitive personal data. BMC Medical Informatics and Decision Making 22 (24).
- Balagué-Dobón et al. (2022). Fully exploiting SNP arrays: a systematic review on the tools to extract underlying genomic structure. Briefings in Bioinformatics bbac043.
- Abellan et al. (2022). In utero exposure to bisphenols and asthma, wheeze, and lung function in school-age children: a prospective meta-analysis of 8 European birth cohorts. Environment International 162: 107178.
- Ruiz-Arenas et al. (2022). Identification of autosomal cis expression quantitative trait methylation (cis eQTMs) in children’s blood. eLife 11:e65310.
- de Prado-Bert et al. (2022). Short- and medium-term air pollution exposure, plasmatic protein levels and blood pressure in children. Environmental Research 2011:113109.
- Carreras-Gallo et al. (2022). The early-life exposome modulates the effect of polymorphic inversions on DNA methylation. Communications Biology 455(2022).
- Maritano et al. (2022). Maternal pesticides exposure in pregnancy and the risk of wheezing in infancy: A prospective cohort study. Environment International 163: 107229.
- Stachulski et al. (2022). A host-gut microbial amino acid co-metabolite, p-cresol glucuronide, promotes blood-brain barrier integrity in vivo. Tissue Barriers e2073175-2.
- Cosin-Tomas et al. (2022). Prenatal Maternal Smoke, DNA Methylation, and Multi-omics of Tissues and Child Health. Current Environmental Health Reports 9: 502-512.
- de Leeuw et al. (2022). Neuronal differentiation pathways and compound-induced developmental neurotoxicity in the human neural progenitor cell test (hNPT) revealed by RNA-seq. Chemosphere 304: 135298.
- Maitre et al. (2022). State-of-the-art methods for exposure-health studies: Results from the exposome data challenge event. Environment International 168: 107422.
- Fuentes-Paez et al. (2022). Study of the Combined Effect of Maternal Tobacco Smoking and Polygenic Risk Scores on Birth Weight and Body Mass Index in Childhood. Frontiers in Genetics 13: 867611.
- Guil-Oumrait et al. (2022). Prenatal exposure to mixtures of phthalates and phenols and body mass index and blood pressure in Spanish preadolescents. Environment International 169: 107527.
- Escribà-Montagut et al. (2022). Software Application Profile: ShinyDataSHIELD—an R Shiny application to perform federated non-disclosive data analysis in multicohort studies. International Journal of Epidemiology dyac201.
- Maitre et al. (2022). Multi-omics signatures of the human early life exposome. Nature Communications 13:7024.
- Swertz et al. (2022). Towards an Interoperable Ecosystem of Research Cohort and Real-world Data Catalogues Enabling Multi-center Studies. Yearbook of Medical Informatics 31(01):262-272.
- Wang et al. (2022). Genetic regulation of newborn telomere length is mediated and modified by DNA methylation. Frontiers in Genetics 13:934277.
- Lemire et al. (2022). Association between household cleaning product profiles evaluated by the Ménag’Score® index and asthma symptoms among women from the SEPAGES cohort. International Archives of Occupational and Environmental Health 95.
- Blaauwendraad et al. (2022). Associations of Early Pregnancy Metabolite Profiles with Gestational Blood Pressure Development. Metabolites 12(12).
2021
- Guillien A et al. (2021). The Exposome Approach to Decipher the Role of Multiple Environmental and Lifestyle Determinants in Asthma. International Journal of Environmental Research and Public Health 18 (3).
- Cadiou S et al. (2021). Performance of approaches relying on multidimensional intermediary data to decipher causal relationships between the exposome and health: A simulation study under various causal structures. Environment International 153: 106509.
- Marcon Y et al. (2021). Orchestrating privacy-protected big data analyses of data from different resources with R and DataSHIELD. PLOS Computational Biology 17(3): e1008880.
- Wiertsema CJ et al. (2021). First trimester fetal proportion volumetric measurements using a Virtual Reality approach. Prenatal Diagnosis 41(7): 868-876.
- Santos S et al. (2021). Maternal phthalate urine concentrations, fetal growth and adverse birth outcomes. A population-based prospective cohort study. Environment International 151: 106443.
- Sol CM et al. (2021). Maternal bisphenol urine concentrations, fetal growth and adverse birth outcomes: A population-based prospective cohort. Environmental Health 20(1).
- Avraam D et al. (2021). Privacy preserving data visualizations. EPJ Data Science 10(2).
- Prado-Bert P et al. (2021). The early-life exposome and epigenetic age acceleration in children. Environment International 155.
- Gallego-Paüls M et al. (2021). Variability of multi-omics profiles in a population-based child cohort. BMC Medicine 19 (1).
- Escriba-Montagut X et al. (2021). Software Application Profile: exposomeShiny: a Toolbox for exposome data analysis. International Journal of Epidemiology dyab220.
- Vrijheid M et al. (2021). Advancing tools for human early life-course exposome research and translation (ATHLETE) – project overview. Environmental Epidemiology 5: e166.
- van den Dries et al. (2021). Prenatal Exposure to Nonpersistent Chemical Mixtures and Fetal Growth: A Population-Based Study. Environmental Health Perspectives 129(11).
- Hoyles et al. (2021). Regulation of blood–brain barrier integrity by microbiome-associated methylamines and cognition by trimethylamine N-oxide. Microbiome 9:235.
- Hu et al. (2021). A population-based study on associations of stool microbiota with atopic diseases in school-age children. The Journal of Allergy and Clinical Immunology 148(2).
- Quezada-Pinedo et al. (2021). Maternal Iron Status in Pregnancy and Child Health Outcomes after Birth: A Systematic Review and Meta-Analysis. Nutrients 13(7).
2020
- Santos S et al. (2020). Applying the exposome concept in birth cohort research: a review of statistical approaches. European Journal of Epidemiology 35 (3): 193–204.
- Vives-Usano M et al. (2020). In utero and childhood exposure to tobacco smoke and multi-layer molecular signatures in children. BMC Medicine 18 (1).
- Stratakis N et al. (2020). Association of Fish Consumption and Mercury Exposure During Pregnancy with Metabolic Health and Inflammatory Biomarkers in Children. JAMA Netw Open 3(3): e201007.
- Mensink-Bout SM et al. (2020). Associations of Plasma Fatty Acid Patterns during Pregnancy with Respiratory and Allergy Outcomes at School Age. Nutrients 12(10): 3057.
- Sol CM et al. (2020). Associations of maternal phthalate and bisphenol urine concentrations during pregnancy with childhood blood pressure in a population-based prospective cohort study. Environment International 138: 105677.
- Sol CM et al. (2020). Fetal phthalates and bisphenols and childhood lipid and glucose metabolism. A population-based prospective cohort study. Environment International 144: 106063.
- Sol CM et al. (2020). Fetal exposure to phthalates and bisphenols and childhood general and organ fat. A population-based prospective cohort study. International Journal of Obesity 44(11): 3070565.
- Calvo-Serra B et al. (2020). Urinary metabolite quantitative trait loci in children and their interaction with dietary factors. Human Molecular Genetics 29(23).