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Tackling the Complexity of the Exposome: Considerations from the Gunma University Initiative for Advanced Research (GIAR) Exposome Symposium

机译:解决外星人的复杂性:群马大学高级研究计划(GIAR)外星人研讨会的思考

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The attempt to describe complex diseases by solely genetic determination has not been successful. There is increasing recognition that the development of disease is often a consequence of interactions between multiple genetic and environmental factors. To date, much of the research on environmental determinants of disease has focused on single exposures generally measured at a single time point. In order to address this limitation, the concept of the exposome has been introduced as a comprehensive approach, studying the full complement of environmental exposures from conception onwards. However, exposures are vast, dynamic, and diverse, and only a small proportion can be reasonably measured due to limitations in technology and feasibility. In addition, the interplay between genes and exposure as well as between different exposures is complicated and multifaceted, which leads to difficulties in linking disease or health outcomes with exposures. The large numbers of collected samples require well-designed logistics. Furthermore, the immense data sets generated from exposome studies require a significant computational investment for both data analysis and data storage. This report summarizes discussions during an international exposome symposium held at Gunma University in Japan regarding the concept of the exposome, challenges in exposome research, and future perspectives in the field.
机译:仅通过基因测定来描述复杂疾病的尝试尚未成功。人们日益认识到,疾病的发展通常是多种遗传因素与环境因素相互作用的结果。迄今为止,有关疾病的环境决定因素的许多研究都集中在通常在单个时间点测量的单次接触。为了解决此限制,已将暴露体的概念作为一种综合方法引入,从概念开始就研究环境暴露的完整补充。但是,风险敞口是巨大的,动态的和多样化的,由于技术和可行性的限制,只能合理地衡量一小部分。另外,基因与暴露之间以及不同暴露之间的相互作用是复杂和多方面的,这导致将疾病或健康结果与暴露联系起来的困难。收集的大量样本需要精心设计的物流。此外,由暴露研究产生的巨大数据集需要大量的计算投资来进行数据分析和数据存储。本报告总结了在日本群马大学举行的一次国际暴露研讨会上有关该暴露的概念,暴露研究的挑战以及该领域未来前景的讨论。

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