The GeoTox Package: open-source software for connecting spatiotemporal exposure to individual and population-level risk.

IF 3.8 3区 医学 Q2 GENETICS & HEREDITY Human Genomics Pub Date : 2025-01-18 DOI:10.1186/s40246-024-00711-8
Kyle P Messier, David M Reif, Skylar W Marvel
{"title":"The GeoTox Package: open-source software for connecting spatiotemporal exposure to individual and population-level risk.","authors":"Kyle P Messier, David M Reif, Skylar W Marvel","doi":"10.1186/s40246-024-00711-8","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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/ .</p>","PeriodicalId":13183,"journal":{"name":"Human Genomics","volume":"19 1","pages":"5"},"PeriodicalIF":3.8000,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11742212/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Genomics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s40246-024-00711-8","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0

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/ .

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
GeoTox软件包:用于将时空暴露与个人和人群水平风险联系起来的开源软件。
背景:全面的环境风险表征,包括物理、化学、社会、生态和生活方式的压力源,需要创新的方法来处理不断升级的复杂性。考虑到个体和群体层面的多样性,这一点尤其正确,因为现实世界暴露的无数组合放大了组合挑战。GeoTox框架提供了一个易于处理的解决方案,通过一系列模块化、相互关联的步骤,将地理空间暴露数据从源到结果集成在一起。结果:在这里,我们介绍了GeoTox开源R软件包,用于表征基于暴露于空间参考应激源混合物的涉及不利人类健康结果的扰动分子目标的风险。我们演示了它在构建包含个人和群体多样性的计算工作流中的用法。我们的研究结果证明了GeoTox在个人和群体层面风险评估中的适用性,突出了其捕捉环境压力因素对人类健康的复杂相互作用的能力。结论:GeoTox软件包在环境风险表征方面取得了重大进展,它提供了模块化软件,以促进GeoTox框架的应用和进一步发展,从而量化环境暴露与健康结果之间的关系。通过将地理空间方法与尖端暴露和毒理学框架相结合,GeoTox为评估环境压力因素对个人和群体的风险提供了强大的工具。GeoTox可以在https://niehs.github.io/GeoTox/免费获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Human Genomics
Human Genomics GENETICS & HEREDITY-
CiteScore
6.00
自引率
2.20%
发文量
55
审稿时长
11 weeks
期刊介绍: Human Genomics is a peer-reviewed, open access, online journal that focuses on the application of genomic analysis in all aspects of human health and disease, as well as genomic analysis of drug efficacy and safety, and comparative genomics. Topics covered by the journal include, but are not limited to: pharmacogenomics, genome-wide association studies, genome-wide sequencing, exome sequencing, next-generation deep-sequencing, functional genomics, epigenomics, translational genomics, expression profiling, proteomics, bioinformatics, animal models, statistical genetics, genetic epidemiology, human population genetics and comparative genomics.
期刊最新文献
Correction: Shared genetics between breast cancer and predisposing diseases identifies novel breast cancer treatment candidates. The GeoTox Package: open-source software for connecting spatiotemporal exposure to individual and population-level risk. The interplay of sex and genotype in disease associations: a comprehensive network analysis in the UK Biobank. High clinical utility of long-read sequencing for precise diagnosis of congenital adrenal hyperplasia in 322 probands. Exploring the role of splicing in TP53 variant pathogenicity through predictions and minigene assays.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1