In general, there was a consistent gain in performance achieved from using the dosage summaries or mixture models in comparison to using the best guess genotypes. This improvement was larger for the two-parameter regression models, regardless of the underlying genetic model, with absolute gains in power of ≈14%. For additive or one-parameter models, the average gain was more modest (3–4%). All differences between the dosage and mixture model strategies were small (<2%).
