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Our DNA consists of a static set of base pairs that are dynamically influenced by lifestyle and environmental factors. These influences vary across populations and may confer differential risk for disease susceptibility. Sina Booeshaghi studies this variation within the historically overlooked non-protein-coding region of our genome. He works with chromatin accessibility and gene expression data in mouse models of obesity, cancer, and diabetes, aiming to produce robust genomics measurements that associate genomic variation with disease.