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.

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Published
2024-11-21
DOI
https://doi.org/10.1142/9789819807024_0038
Citations
1
Primary Topic
Health, Environment, Cognitive Aging
Type
article
Field-Weighted Citation Impact
0.31

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article

Integrated exposomic analysis of lipid phenotypes: Leveraging GE.db in environment by environment interaction studies

Molly A. Hall, Nicole E. Palmiero, Marylyn DeRiggi Ritchie, ANDRE LUIS GARAO RICO
1 citations
Health, Environment, Cognitive Aging
0.31
article

Integrated exposomic analysis of lipid phenotypes: Leveraging GE.db in environment by environment interaction studies

Molly A. Hall, Nicole E. Palmiero, Marylyn DeRiggi Ritchie, ANDRE LUIS GARAO RICO
article en
1 citations

Abstract

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.

Vol. 30
University of Pennsylvania (US)
U.S. Department of Agriculture, National Institute of Food and Agriculture, National Institute of Child Health and Human Development
Openalex Percentile: Top 36%
Health, Environment, Cognitive Aging
0.31
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