暴露的
疾病
数据科学
基因-环境相互作用
计算机科学
生物
医学
环境卫生
遗传学
基因
病理
基因型
作者
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 Schmitt,Kristianna G. Pettibone,David M. Balshaw,Cindy P. Lawler,Shelia A. Newton,Gwen W. Collman,Aubrey Miller,B. Alex Merrick,Yuxia Cui,Benedict Anchang,Quaker E. Harmon
出处
期刊:Cell genomics
[Elsevier]
日期:2024-06-25
卷期号:4 (7): 100591-100591
被引量:28
标识
DOI:10.1016/j.xgen.2024.100591
摘要
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.
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