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Explore novel methodological approaches for investigating DNA methylation as a biomarker of gene-environment interactions in large-scale population biobanks through this 23-minute conference talk. Discover how time-dependent associations emerge between DNA methylation patterns and prenatal as well as childhood environmental exposures. Learn about cutting-edge computational techniques for analyzing epigenetic data in the context of gene-environment interplay, with particular emphasis on temporal dynamics and developmental timing effects. Examine research findings that reveal how environmental factors during critical developmental windows leave lasting epigenetic signatures that can be detected and analyzed in population-based studies. Gain insights into the methodological challenges and solutions for studying complex gene-environment interactions using DNA methylation data, including approaches for handling longitudinal epigenetic datasets and identifying time-sensitive exposure effects. Understand the implications of these findings for precision medicine and public health interventions targeting early-life environmental exposures.
