Our study demonstrates the feasibility of Integer Linear Programming (ILP) to design a mid-density genotyping panel from heterogenous source knowledge. From the absence of available high-self-assurance targets, and furnished the design standards and goals could be expressed as linear equations, ILP is more explainable than machine learning and less