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Our study demonstrates the feasibility of Integer Linear Programming (ILP) to style a mid-density genotyping panel from heterogenous source data. In the absence of available high-confidence targets, and delivered the design standards and targets is usually expressed as linear equations, ILP is more explainable than device learning and fewer biased