All parts of the work will provide input to the ATHLETE Online Toolbox on this page. This will ensure that data and tools will not only be developed and used within the project, but will be accessible to researchers and policy makers long after the project has finished.
The figure on the right shows the contributions of each Work Packages (WP) to the online toolbox.
Exposome data and analysis tools
European Networks Health Data and Cohort Catalogue
This catalogue contains metadata on cohorts/data sources, the variables they collect, and/or harmonization efforts to enable integrated reuse of their rich valuable data.
Protocol and SOPs for exposure data, health outcome data and biological samples collection in adolescents (HELIX Subcohort)
This tool present the protocol and SOPs for the collection of data on cardiometabolic, respiratory and neurodevelopment/mental health outcomes, exposures data, and biological samples collection for the follow-up of the HELIX Subcohort cohort into adolescence.
Data access protocols
This tool is a protocol, or technical explanation / ‘manual’ for implementation and maintenance of the federated data access system which has been put in place by WP1. The intended audience are members of technical teams within institutions taking -or wanting to take- part in the Athlete research network.
DataSHIELD beginners’ workshop
The beginners’ workshop covers the basics of how to begin to use DataSHIELD statistical software. The first part focuses on getting the training environment set up, followed by working through several sections on various statistical techniques.
DataSHIELD resources workshop
This workshop covers how to use the resource, a DataSHIELD extension that allows to manage any large data sets.
DataSHIELD OMICs analysis workshop
This workshop covers how to perform state‐of‐the‐art methods in omic data using non‐disclosive approaches implemented in DataSHIELD including GWAS, gene expression and methylation data analysis.
Statistical analysis to study exposome workshop
This workshop provides a brief overview of available statistical methods to study exposome‐health outcome associations. We explain the data pre‐processing steps required to perform such analysis, and introduce the rexposome package (ExWAS, data visualization).
EXPOApp3 and EXPOHub for personal monitoring of physical activity and localization
The smartphone app ExpoApp3 and its software platform (EXPOHub) have been developed by the SME Bettair Cities within ATHLETE. The app monitors, in real-time, location (GPS), accelerometer, physical activity and screen (on/off). The app can be used alone or as part of a larger set of data collection tools (e.g. wearable and air pollution monitoring devices) to record personal exposure data in epidemiological and intervention studies.
Tutorial: Non-disclosive federated exposome data analysis with DataSHIELD and Bioconductor
This R package allows us, among others, the analysis of exposome data since we can define a resource as an ExposomeSet an specific method to encapsulate exposome data in R.
ShinyDataSHIELD—an R Shiny app to perform federated non-disclosive data analysis in multicohort studies
ShinyDataSHIELD is a web application with an R backend that serves as a graphical user interface (GUI) to the DataSHIELD infrastructure.
exposomeShiny—a toolbox for exposome data analysis
ExposomeShiny is a standalone web application implemented in R. It is available as source files and can be installed in any server or computer avoiding problems with data confidentiality. It is executed in RStudio which opens a browser window with the web application.
Longitudinal exposome evidence
Web application to query and download findings from Exposome-omics-Wide Association Study (ExWAS)
Our comprehensive and unique resource of exposome-omics associations that serves to replicate findings from other studies and to guide future investigation into the biological imprints of the early life exposome.
Catalogue “blood eQTMs in children”
Web application to download correlations between DNA methylation and expression of nearby genes (eQTMs) in child blood. It will help biological interpretation of epigenome-wide association studies (EWAS) in children.
Knowledge translation tools
It aims to identify the effects of chemical and urban factors on child health and attribute a level of evidence (LoE) for each factor-outcome pair. To reference: “Colzin S et al, manuscript, A plausibility database summarizing the level of evidence regarding the hazards induced by the exposome on children health.”
Webinar: Prenatal exposure to phthalates, bisphenol, and organophosphate pesticide mixtures and fetal growth
In collaboration with ATHLETE partner Health and Environment Alliance (HEAL), Dr. Kelly Ferguson (NIEHS) presents her work on prenatal exposure to nonpersistent chemical mixtures and fetal growth.