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[EN]Background: The urban environment may influence neurodevelopment from conception onwards, but there is no evaluation of the impact of multiple groups of exposures simultaneously. We investigated the association between early-life urban environment and cognitive and motor function in children. Methods: We used data from 5403 mother-child pairs from four population-based birth-cohorts (UK, France, Spain, and Greece). We estimated thirteen urban home exposures during pregnancy and childhood, including: built environment, natural spaces, and air pollution. Verbal, non-verbal, gross motor, and fine motor functions were assessed using validated tests at five years old. We ran adjusted multi-exposure models using the Deletion-Substitution-Addition algorithm. Results: Higher greenness exposure within 300 m during pregnancy was associated with higher verbal abilities (1.5 points (95% confidence interval 0.4, 2.7) per 0.20 unit increase in greenness). Higher connectivity density within 100 m and land use diversity during pregnancy were related to lower verbal abilities. Childhood exposure to PM2.5 mediated 74% of the association between greenness during childhood and verbal abilities. Higher exposure to PM2.5 during pregnancy was related to lower fine motor function (-1.2 points (-2.1, -0.4) per 3.2 mu g/m3 increase in PM2.5). No associations were found with non-verbal abilities and gross motor function. Discussion: This study suggests that built environment, greenness, and air pollution may impact child cognitive and motor function at five years old. This study adds evidence that well-designed urban planning may benefit children's cognitive and motor development. Acknowledgements We are grateful to all the participating children, parents, practi-tioners and researchers in the four countries who took part in this study. This work was supported by funding from the European Community's Seventh Framework Programme [FP7/2007-206 n 308333; the HELIX project] . This INMA cohort was funded by grants from Instituto de Salud Carlos III (Red INMA G03/176; CB06/02/0041; PI041436; PI081151 incl. FEDER funds, FIS PI06/0867, FIS-PI09/00090, FIS and FIS-PI18/01142 incl. FEDER funds, FIS-FEDER: PI03/1615, PI04/1509, PI04/1112, PI04/1931, PI05/1079, PI05/1052, PI06/1213, PI07/0314, PI09/02647, PI11/01007, PI11/02591, PI11/02038, PI13/1944, PI13/2032, PI14/00891, PI14/01687, PI16/1288, PI16/00118 and PI17/00663; FIS-FSE: 17/00260; Miguel Servet-FEDER CP11/00178, CP15/00025, CPII16/00051, and CPII18/00018) , from UE (FP7-ENV-2011 cod 282957, HEALTH.2010.2.4.5-1, and H2020 n 824989) , Generalitat de Catalunya-CIRIT 1999SGR 00241, Fundacio La marato de TV3 (090430) , Generalitat Valenciana: FISABIO (UGP 15-230, UGP-15-244, and UGP-15-249) , Alicia Koplowitz Foundation 2017, CIBERESP, Department of Health of the Basque Government (2013111089, 2009111069, 2013111089, 2015111065 and 2018111086) , Provincial Government of Gipuzkoa (DFG06/002, DFG08/001, DFG15/221 and DFG 89/17) and annual agreements with the municipalities of the study area (Zumarraga, Urretxu , Legazpi, Azkoitia y Azpeitia y Beasain) . We acknowledge support from the Spanish Ministry of Science and Inno-vation and the State Research Agency through the "Centro de Excelencia Severo Ochoa 2019-2023" Program (CEX2018-000806-S) , and support from the Generalitat de Catalunya through the CERCA Program. The work was also supported by MICINN [MTM2015-68140-R] and Centro Nacional de Genotipado-CEGEN-PRB2-ISCIII (Spain) . The Rhea project was financially supported by European projects, and the Greek Ministry of Health (Program of Prevention of obesity and neurodevelopmental disorders in preschool children, in Heraklion district, Crete, Greece: 2011-2014; "Rhea Plus": Primary Prevention Program of Environmental Risk Factors for Reproductive Health, and Child Health: 2012-15) . This paper presents independent research funded by the National Institute for Health Research (NIHR) under its Collaboration for Applied Health Research and Care (CLAHRC) for Yorkshire and Humber (UK) . The EDEN study was supported by Foundation for medical research (FRM) , National Agency for Research (ANR) , National Institute for Research inPublic health (IRESP: TGIR cohorte sante 2008 program) , French Min-istry of Health (DGS) , French Ministry of Research, INSERM Bone and Joint Diseases National Research (PRO-A) , and Human Nutrition Na-tional Research Programs, Paris-Sud University, Nestle, French National Institute for Population Health Surveillance (InVS) , French National Institute for Health Education (INPES) , the European Union FP7 pro-grams (ESCAPE, ENRIECO, Medall projects) , Diabetes National Research Program (through a collaboration with the French Association of Diabetic Patients (AFD) ) , French Agency for Environmental Health Safety and French National Agency for Food Security (now ANSES) , Mutuelle Generale de l'Education Nationale a complementary health insurance (MGEN) , French-speaking association for the study of diabetes and metabolism (ALFEDIAM) . Core support for Born in Bradford is also provided by the Wellcome Trust (WT101597MA, UK) . Born in Bradford (BiB) is only possible because of the enthusiasm and commitment of the children and parents in BiB. We are grateful to all the participants, health professionals, schools and researchers who have made BiB happen. BiB receives funding from the ESRC/MRC, the Wellcome Trust (WT101597MA) and the National Institute for Health Research York-shire and Humber ARC (reference: NIHR20016) . M. Mon-Williams was supported by a Fellowship from the Alan Turing Institute. Additional funding from the National Institute of Environmental Health Science supported Dr Chatzi (R01ES030691, R01ES029944, R01ES030364, R21ES029681, and P30ES007048) . The views expressed are those of the authors, and not necessarily those of the NHS or the NIHR. None of the funders were involved in designing the study, collecting the data, analyzing or interpreting the data, deciding to submit the article for publication, or the writing of the report. Data sharing statement The HELIX data warehouse has been established as an accessible resource for collaborative research involving researchers external to the project. Access to HELIX data is based on approval by the HELIX Project Executive Committee and by the individual cohorts. Further details on the content of the data warehouse (data catalogue) and procedures for external access are described on the project website (http:// www.proj-ecthelix.eu/index.php/es/data-inventory) .

Key message Pollination is a key step for fruit production. To provide a tool for future in-depth analysis of pollination in chestnut, we describe in detail a chestnut orchard (location, genotype, phenotype and seed-set of all trees). Context Chestnuts, which are insect-pollinated trees, have been massively planted around the world for nut production. Orchards are planted with clonal varieties selected from crosses between the European chestnuts (Castanea sativa) and Japanese chestnuts (C. crenata) or Chinese chestnuts (C. mollissima) because these two last species are tolerant to blight and ink diseases. Aims To characterize chestnut genetic resources and accurately model male and female fitness as well as pollen exchanges in orchards, we characterized all chestnuts of the INRAE chestnut germplasm collection located near Bordeaux (France). Methods All chestnut trees were geolocated and genotyped using 79 SNP and 98 SSR loci. We scored their flowering phenology using chestnut BBCH scale and precisely described their phenotype (height, diameter a breast height (DBH), canopy diameter…), their capacity to produce pollen (flower type, catkins length…) and their fruit production (number of burrs, seed-set…). Results We geolocated 275 trees and genotyped 273 of them. We identified 115 unique genotypes and assigned each genotype to species. To assess phenology, we evaluated 244 trees twice a week, for 6 weeks from early June to mid-July. We also described tree phenotypes with 11 variables, pollen production with 5 variables and fruit production with 3 variables. All measures were recorded in 2018 except seed set that was measured two consecutive years, in 2018 and 2019. Conclusion The data collected is very detailed and allows modelling precisely pollen exchanges between trees. Parts of this data have been successfully published in scientific articles. Data are available at: https://data.inrae.fr/dataset.xhtml?persistentId=doi:10.15454/GSJSWW Associated metadata are available at:https://metadata-afs.nancy.inra.fr/geonetwork/srv/fre/catalog.search#/metadata/02c5ca07-1536-4f89-9a0c-9e8d44a91287

International audience; The major human cytochrome P450 CYP2D6 isoform enzyme plays important roles in the liver and in the brain with regards to xenobiotic metabolism. Xenobiotics as CYP2D6 substrates include a whole range of pharmaceuticals, pesticides and plant alkaloids to cite but a few. In addition, a number of endogenous compounds have been shown to be substrates of CYP2D6 including trace amines in the brain such as tyramine and 5-methoxytryptamine as well as anandamide and progesterone. Because of the polymorphic nature of CYP2D6, considerable inter-phenotypic and inter-ethnic differences in the pharmaco/toxicokinetics (PK/TK) and metabolism of CYP2D6 substrates exist with potential consequences on the pharmacology and toxicity of chemicals. Here, large extensive literature searches have been performed to collect PK data from published human studies for a wide range of pharmaceutical probe substrates and investigate human variability in CYP2D6 metabolism. The computed kinetic parameters resulted in the largest open source database, quantifying inter-phenotypic differences for the kinetics of CYP2D6 probe substrates in Caucasian and Asian populations, to date. The database is available in supplementary material (CYPD6 DB) and EFSA knowledge junction (DOI to added). Subsequently, meta-analyses using a hierarchical Bayesian model for markers of chronic oral exposure (oral clearance, area under the plasma concentration time curve) and acute oral exposure (maximum plasma concentration (Cmax) provided estimates of inter-phenotypic differences and CYP2D6-related uncertainty factors (UFs) for chemical risk assessment in Caucasian and Asian populations classified as ultra-rapid (UM), extensive (EMs), intermediate (IMs) and poor metabolisers (PMs). The model allowed the integration of inter-individual (i.e. inter-phenotypic and inter-ethnic), inter-compound and inter-study variability together with uncertainty in each PK parameter. Key findings include 1. Higher frequencies of PMs in Caucasian populations compared to Asian populations (>8% vs 1-2%) for which EM and IM were the most frequent phenotype. 2. Large inter-phenotypic differences in PK parameters for Caucasian EMs (coefficients of variation (CV) > 50%) compared with Caucasian PMs and Asian EMs and IMs (i.e CV < 40%). 3. Inter-phenotypic PK differences between EMs and PMs in Caucasian populations increase with the quantitative contribution of CYP2D6 for the metabolism (fm) for a range of substrates (fm CYP2D6 range: 20-95% of dose) (range: 1-54) to a much larger extent than those for Asian populations (range: 1-4). 4. Exponential meta-regressions between Fm CYP2D6 in EMs and inter-phenotypic differences were also shown to differ between Caucasian and Asian populations as well as CYP2D6-related UFs. Finally, implications of these results for the risk assessment of food chemicals and emerging designer drugs of public health concern, as CYP2D6 substrates, are highlighted and include the integration of in vitro metabolism data and CYP2D6 variability distributions for the development of quantitative in vitro in vivo extrapolation models.