This Research Topic in Frontiers in Genetics highlights innovative studies that integrate longitudinal exposomics with genetic and multi-omics data to understand how exposures across the lifespan shape health, aging, and disease. Most exposure studies capture a single timepoint, missing the dynamic interactions between environmental factors, genetic variation, and molecular regulation. Life-course exposomics, spanning prenatal, developmental, adult, and aging stages, offers a framework for linking exposure trajectories to biological mechanisms and precision health outcomes.

We invite empirical, methodological, and review articles that combine temporal exposure data with genomics, epigenomics, transcriptomics, proteomics, metabolomics, or microbiome profiling. Priority will be given to studies that move beyond associations to identify predictive mechanisms and actionable biomarkers. Approaches may include high-throughput functional genomics (e.g., spatial or single-cell omics), machine learning, and real-world exposure monitoring through sensors or digital health data.

We particularly encourage translational and regulatory studies connecting exposome–genome insights to disease prevention, precision risk assessment, and health equity. Ethical and societal dimensions, such as data privacy, fairness, and inclusion of diverse populations, are integral to this emerging field.

Scope includes:

• Longitudinal exposomics from prenatal to aging stages

• Multi-omics integration for gene–environment research

• Computational modeling of exposure–genome mechanisms

• Functional validation of exposome–genome interactions

• Translational and policy applications in predictive toxicology and precision health

This Research Topic will establish Frontiers in Genetics as a leading venue for exposomics research, fostering cross-disciplinary collaboration among exposure scientists, geneticists, and computational biologists to advance predictive and equitable frameworks for human health across the lifespan.

Are you interested in contributing a manuscript to this Research Topic?

Life-Course Exposomics and Gene–Environment Interactions: Longitudinal Multi-Omics for Precision Risk Assessment