Andre Luis Garao Rico, Nicole Palmiero, Marylyn D Ritchie, Molly A Hall
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引用次数: 0
摘要
基因-环境相互作用(GxE)研究提供了遗传与环境相互作用的见解,但往往忽视了多种环境因素的协同效应。本研究包括利用环境相互作用(ExE)研究来探索影响脂质表型的环境因素之间的相互作用(例如,HDL、LDL、总胆固醇和甘油三酯),这对疾病风险评估至关重要。我们开发了一个新的知识库,GE.db,整合了基因组和暴露体的相互作用。在本研究中,我们筛选了NHANES暴露变量(1999-2018年可用),以使用GE.db识别显著的ExE。从101316名参与者和77次暴露中,我们在发现和复制数据集中确定了263个具有统计学意义的相互作用(FDR p < 0.1),其中21个相互作用对HDL-C具有统计学意义(Bonferroni p < 0.05)。显著的相互作用包括二十二碳五烯酸(22:5n-3) (DPA) -花生酸(20:0)、硬脂酸(18:0)-花生酸(20:0)和与HDL-C水平相关的血液2,5-二甲呋喃-血苯。这些发现强调了GE.db在提高组学研究效率方面的作用,并强调了环境暴露对脂质代谢的复杂影响,为未来的健康策略提供了信息。
Integrated exposomic analysis of lipid phenotypes: Leveraging GE.db in environment by environment interaction studies.
Gene-environment interaction (GxE) studies provide insights into the interplay between genetics and the environment but often overlook multiple environmental factors' synergistic effects. This study encompasses the use of environment by environment interaction (ExE) studies to explore interactions among environmental factors affecting lipid phenotypes (e.g., HDL, LDL, and total cholesterol, and triglycerides), which are crucial for disease risk assessment. We developed a novel curated knowledge base, GE.db, integrating genomic and exposomic interactions. In this study, we filtered NHANES exposure variables (available 1999-2018) to identify significant ExE using GE.db. From 101,316 participants and 77 exposures, we identified 263 statistically significant interactions (FDR p < 0.1) in discovery and replication datasets, with 21 interactions significant for HDL-C (Bonferroni p < 0.05). Notable interactions included docosapentaenoic acid (22:5n-3) (DPA) - arachidic acid (20:0), stearic acid (18:0) - arachidic acid (20:0), and blood 2,5-dimethyfuran - blood benzene associated with HDL-C levels. These findings underscore GE.db's role in enhancing -omics research efficiency and highlight the complex impact of environmental exposures on lipid metabolism, informing future health strategies.