Such a multimodal interpretation would integrate biomarkers from various domains, such as more classical markers (insulin, leptin), multiomics (e.g. genetics, epigenomics, transcriptomics, proteomics, and metabolomics), behavioral attributes (dietary, PA, and sleep patterns, and smoking status), psychological traits (mental health status, depression, and eating disorders), and gut-microbiota (composition and diversity) into a combined interpretation, also employing more advanced interpretation tools, such as machine learning and artificial intelligence. The gene discussed is LEP; the disease is depressive disorder.