The GeoTox Package: open-source software for connecting spatiotemporal exposure to individual and population-level risk
Abstract Background Comprehensive environmental risk characterization, encompassing physical, chemical, social, ecological, and lifestyle stressors, necessitates innovative approaches to handle the escalating complexity. This is especially true when considering individual and population-level divers...
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| Format: | Article |
| Language: | English |
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BMC
2025-01-01
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| Series: | Human Genomics |
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| Online Access: | https://doi.org/10.1186/s40246-024-00711-8 |
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| author | Kyle P. Messier David M. Reif Skylar W. Marvel |
| author_facet | Kyle P. Messier David M. Reif Skylar W. Marvel |
| author_sort | Kyle P. Messier |
| collection | DOAJ |
| description | Abstract Background Comprehensive environmental risk characterization, encompassing physical, chemical, social, ecological, and lifestyle stressors, necessitates innovative approaches to handle the escalating complexity. This is especially true when considering individual and population-level diversity, where the myriad combinations of real-world exposures magnify the combinatoric challenges. The GeoTox framework offers a tractable solution by integrating geospatial exposure data from source-to-outcome in a series of modular, interconnected steps. Results Here, we introduce the GeoTox open-source R software package for characterizing the risk of perturbing molecular targets involved in adverse human health outcomes based on exposure to spatially-referenced stressor mixtures. We demonstrate its usage in building computational workflows that incorporate individual and population-level diversity. Our results demonstrate the applicability of GeoTox for individual and population-level risk assessment, highlighting its capacity to capture the complex interplay of environmental stressors on human health. Conclusions The GeoTox package represents a significant advancement in environmental risk characterization, providing modular software to facilitate the application and further development of the GeoTox framework for quantifying the relationship between environmental exposures and health outcomes. By integrating geospatial methods with cutting-edge exposure and toxicological frameworks, GeoTox offers a robust tool for assessing individual and population-level risks from environmental stressors. GeoTox is freely available at https://niehs.github.io/GeoTox/ . |
| format | Article |
| id | doaj-art-e7988e1313f44b3a8d5955d547cb16d8 |
| institution | Kabale University |
| issn | 1479-7364 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
| record_format | Article |
| series | Human Genomics |
| spelling | doaj-art-e7988e1313f44b3a8d5955d547cb16d82025-01-19T12:32:25ZengBMCHuman Genomics1479-73642025-01-0119111210.1186/s40246-024-00711-8The GeoTox Package: open-source software for connecting spatiotemporal exposure to individual and population-level riskKyle P. Messier0David M. Reif1Skylar W. Marvel2Predictive Toxicology Branch, Division of Translational Toxicology, National Institute of Environmental Health SciencesPredictive Toxicology Branch, Division of Translational Toxicology, National Institute of Environmental Health SciencesPredictive Toxicology Branch, Division of Translational Toxicology, National Institute of Environmental Health SciencesAbstract Background Comprehensive environmental risk characterization, encompassing physical, chemical, social, ecological, and lifestyle stressors, necessitates innovative approaches to handle the escalating complexity. This is especially true when considering individual and population-level diversity, where the myriad combinations of real-world exposures magnify the combinatoric challenges. The GeoTox framework offers a tractable solution by integrating geospatial exposure data from source-to-outcome in a series of modular, interconnected steps. Results Here, we introduce the GeoTox open-source R software package for characterizing the risk of perturbing molecular targets involved in adverse human health outcomes based on exposure to spatially-referenced stressor mixtures. We demonstrate its usage in building computational workflows that incorporate individual and population-level diversity. Our results demonstrate the applicability of GeoTox for individual and population-level risk assessment, highlighting its capacity to capture the complex interplay of environmental stressors on human health. Conclusions The GeoTox package represents a significant advancement in environmental risk characterization, providing modular software to facilitate the application and further development of the GeoTox framework for quantifying the relationship between environmental exposures and health outcomes. By integrating geospatial methods with cutting-edge exposure and toxicological frameworks, GeoTox offers a robust tool for assessing individual and population-level risks from environmental stressors. GeoTox is freely available at https://niehs.github.io/GeoTox/ .https://doi.org/10.1186/s40246-024-00711-8ExposomeRiskPopulation susceptibilitySource-to-outcome |
| spellingShingle | Kyle P. Messier David M. Reif Skylar W. Marvel The GeoTox Package: open-source software for connecting spatiotemporal exposure to individual and population-level risk Human Genomics Exposome Risk Population susceptibility Source-to-outcome |
| title | The GeoTox Package: open-source software for connecting spatiotemporal exposure to individual and population-level risk |
| title_full | The GeoTox Package: open-source software for connecting spatiotemporal exposure to individual and population-level risk |
| title_fullStr | The GeoTox Package: open-source software for connecting spatiotemporal exposure to individual and population-level risk |
| title_full_unstemmed | The GeoTox Package: open-source software for connecting spatiotemporal exposure to individual and population-level risk |
| title_short | The GeoTox Package: open-source software for connecting spatiotemporal exposure to individual and population-level risk |
| title_sort | geotox package open source software for connecting spatiotemporal exposure to individual and population level risk |
| topic | Exposome Risk Population susceptibility Source-to-outcome |
| url | https://doi.org/10.1186/s40246-024-00711-8 |
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