{"accessLevel": "public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Kristin Isaacs", "hasEmail": "mailto:isaacs.kristin@epa.gov"}, "description": "Background: Chemicals in consumer products are a major contributor to human chemical co-exposures. Consumers purchase and use a wide variety of products containing potentially thousands of chemicals. There is a need to identify potential real-world chemical co-exposures in order to prioritize in vitro toxicity screening. However, due to the vast number of potential chemical combinations, this has been a major challenge.\n\nObjectives: We aim to develop and implement a data-driven procedure for identifying prevalent chemical combinations to which humans are exposed through purchase and use of consumer products.\n\nMethods: We applied frequent itemset mining on an integrated dataset linking consumer product chemical ingredient data with product purchasing data from sixty thousand households to identify chemical combinations resulting from co-use of consumer products.\n\nResults: We identified co-occurrence patterns of chemicals over all households as well as those specific to demographic groups based on race/ethnicity, income, education, and family composition. We also identified chemicals with the highest potential for aggregate exposure by identifying chemicals occurring in multiple products used by the same household. Lastly, a case study of chemicals active in estrogen and androgen receptor in silico models revealed priority chemical combinations co-targeting receptors involved in important biological signaling pathways.\n\nDiscussion: Integration and comprehensive analysis of household purchasing data and product-chemical information provided a means to assess human near-field exposure and inform selection of chemical combinations for high-throughput screening in in vitro assays. \n\nThis dataset is associated with the following publication:\nStanfield, Z., C. Addington, K. Dionisio, D. Lyons, R. Tornero-Velez, K. Phillips, T. Buckley, and K. Isaacs. Mining of consumer product and purchasing data to identify potential chemical co-exposures..   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 129(6): N/A, (2021).", "distribution": [{"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519316/ScienceHub_FIMofNielsenAndCPCat_2020-06-03.xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "title": "ScienceHub_FIMofNielsenAndCPCat_2020-06-03.xlsx"}], "identifier": "https://doi.org/10.23719/1519316", "keyword": ["Aggregate exposure", "ExpoCast", "chemical exposure", "consumer products", "frequent itemset mining (FIM)"], "license": "https://pasteur.epa.gov/license/sciencehub-license.html", "modified": "2021-06-10", "programCode": ["020:095"], "publisher": {"name": "U.S. EPA Office of Research and Development (ORD)", "subOrganizationOf": {"name": "U.S. Environmental Protection Agency", "subOrganizationOf": {"name": "U.S. Government"}}}, "references": ["https://doi.org/10.1289/ehp8610"], "rights": null, "title": "Datasets associated with \"Mining of Consumer Product and Purchasing Data to Identify Potential Chemical Co-exposures\""}