Mix Masters: Using a New Tool to Identify Commonly Occurring Chemical Mixtures

PDF Version (898 KB) About This Article Published: 5 December 2017 Note to readers with disabilities: EHP strives to ensure that all journal content is accessible to all readers. However, some figures and Supplemental Material published in EHP articles may not conform to 508 standards due to the complexity of the information being presented. If you need assistance accessing journal content, please contact ehponline@niehs.nih.gov. Our staff will work with you to assess and meet your accessibility needs within 3 working days. Related EHP Article A Method for Identifying Prevalent Chemical Combinations in the U.S. Population Dustin F. Kapraun, John F. Wambaugh, Caroline L. Ring, Rogelio Tornero-Velez, and R. Woodrow Setzer  Modern industry and manufacturing rely on a roster of more than 84,000 chemicals,1 many of which have received minimal study.2 Through programs such as ToxCast™ and Tox21, researchers are working hard to create safety profiles for as many of these compounds as possible. But while the primary paradigm in toxicology remains studying exposures to individual agents, few chemical exposures occur in isolation, and it can be difficult to predict how chemical mixtures might affect health. In a new report in Environmental Health Perspectives, researchers describe a new tool called frequent itemset mining (FIM) to identify the mixtures to which people are most commonly exposed.3 There is a “pretty big data gap” between what we know...
Source: EHP Research - Category: Environmental Health Authors: Tags: Science Selection Source Type: research