Decoding the exposome: data science methodologies and implications in exposome-wide association studies (ExWASs).
Decoding the exposome: data science methodologies and implications in exposome-wide association studies (ExWASs).
复制标题
解码暴露组：数据科学方法及其对全暴露组关联研究（ExWAS）的影响。
DOI：
10.1093/exposome/osae001
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发表时间：
2024
期刊：
影响因子：
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通讯作者：
Motsinger-Re
中科院分区：
文献类型：
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作者：
Chung,MingKei;House,JohnS;Akhtari,FaridaS;Makris,KonstantinosC;Langston,MichaelA;Islam,KhandakerTalat;Holmes,Philip;Chadeau-Hyam,Marc;Smirnov,AlexI;Du,Xiuxia;Thessen,AnneE;Cui,Yuxia;Zhang,Kai;Manrai,ArjunK;Motsinger-Re
本文探讨了这一令人烦恼的概念及其在阐明环境暴露与人类健康之间相互作用方面的作用。我们介绍了两个关键的概念，关键的基因组学研究。首先，我们讨论了遗传和环境对表型的联合影响，强调了可归因于共享和非共享环境因素的方差，强调了量化干扰素对健康结果影响的复杂性。其次，我们介绍了先进的数据驱动的方法在大型队列研究中的重要性。在这里，我们介绍了全基因组关联研究（ExWAS），这是一种旨在系统发现表型和各种暴露之间关系的方法，在控制多重比较的同时确定显着的关联。我们提倡标准化使用术语“全脑域关联研究，ExWAS”，以促进该领域的清晰沟通和文献检索。本文旨在指导未来的健康研究人员理解和评价药物组学研究。我们的讨论延伸到新兴的主题，如公平的数据原则，生物银行的医疗保健数据集，和功能性基因组，概述了未来的方向，在基因组学研究。本摘要提供了一个简明扼要的概述，我们的综合方法来理解复杂的动态的麻烦和它对人类健康的重大影响。
This paper explores the exposome concept and its role in elucidating the interplay between environmental exposures and human health. We introduce two key concepts critical for exposomics research. Firstly, we discuss the joint impact of genetics and environment on phenotypes, emphasizing the variance attributable to shared and nonshared environmental factors, underscoring the complexity of quantifying the exposome’s influence on health outcomes. Secondly, we introduce the importance of advanced data-driven methods in large cohort studies for exposomic measurements. Here, we introduce the exposome-wide association study (ExWAS), an approach designed for systematic discovery of relationships between phenotypes and various exposures, identifying significant associations while controlling for multiple comparisons. We advocate for the standardized use of the term “exposome-wide association study, ExWAS,” to facilitate clear communication and literature retrieval in this field. The paper aims to guide future health researchers in understanding and evaluating exposomic studies. Our discussion extends to emerging topics, such as FAIR Data Principles, biobanked healthcare datasets, and the functional exposome, outlining the future directions in exposomic research. This abstract provides a succinct overview of our comprehensive approach to understanding the complex dynamics of the exposome and its significant implications for human health.