{
  "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\""
}