Gene-environment interactions within a precision environmental health framework.

IF 11.1 Q1 CELL BIOLOGY
Cell genomics Pub Date : 2024-07-10 Epub Date: 2024-06-25 DOI:10.1016/j.xgen.2024.100591
Alison A Motsinger-Reif, David M Reif, Farida S Akhtari, John S House, C Ryan Campbell, Kyle P Messier, David C Fargo, Tiffany A Bowen, Srikanth S Nadadur, Charles P Schmitt, Kristianna G Pettibone, David M Balshaw, Cindy P Lawler, Shelia A Newton, Gwen W Collman, Aubrey K Miller, B Alex Merrick, Yuxia Cui, Benedict Anchang, Quaker E Harmon, Kimberly A McAllister, Rick Woychik
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引用次数: 0

Abstract

Understanding the complex interplay of genetic and environmental factors in disease etiology and the role of gene-environment interactions (GEIs) across human development stages is important. We review the state of GEI research, including challenges in measuring environmental factors and advantages of GEI analysis in understanding disease mechanisms. We discuss the evolution of GEI studies from candidate gene-environment studies to genome-wide interaction studies (GWISs) and the role of multi-omics in mediating GEI effects. We review advancements in GEI analysis methods and the importance of large-scale datasets. We also address the translation of GEI findings into precision environmental health (PEH), showcasing real-world applications in healthcare and disease prevention. Additionally, we highlight societal considerations in GEI research, including environmental justice, the return of results to participants, and data privacy. Overall, we underscore the significance of GEI for disease prediction and prevention and advocate for integrating the exposome into PEH omics studies.

精准环境健康框架下的基因-环境相互作用。
了解遗传和环境因素在疾病病因学中的复杂相互作用以及基因-环境相互作用(GEIs)在人类各发育阶段的作用非常重要。我们回顾了基因-环境互作研究的现状,包括测量环境因素所面临的挑战以及基因-环境互作分析在理解疾病机制方面的优势。我们讨论了基因-环境互作研究从候选基因-环境研究到全基因组互作研究(GWIS)的演变过程,以及多组学在介导基因-环境互作效应中的作用。我们回顾了 GEI 分析方法的进展以及大规模数据集的重要性。我们还探讨了将基因互作研究结果转化为精准环境健康(PEH)的问题,展示了在医疗保健和疾病预防方面的实际应用。此外,我们还强调了环境基因组学研究中的社会考虑因素,包括环境正义、将结果返还给参与者以及数据隐私。总之,我们强调了基因组学信息对疾病预测和预防的重要意义,并倡导将暴露组纳入 PEH 全息研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
7.10
自引率
0.00%
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