Current statistical/computational advances in network analysis lack the ability to understand the interconnectedness between network nodes in a tactile manner. The overall research goal is to design-develop-demonstrate-evaluate a novel data visualization method that brings together data analytics, augmented reality (AR), and 3D Printed Electronics (3DPE). Our approach can yield novel image-derived phenotype (IDP) biomarkers for complex diseases as well as provide pleiotropic gene targets for drug repurposing.