Classifiers that are gene and endophenotype specific—such as those produced by the ePOSE algorithm—will benefit from learning which variants (or genes) contribute to specific components of disease: as an example, CFTR variants that effect processing versus chloride conductance, or complex heart disease phenotypes that can result from varying combinations of LDLR-specific cholesterol plaques [27] or LPA-specific calcium plaques [56]. The gene discussed is CFTR; the disease is heart disorder.