Fig. 2.

Influence of immunosuppressive drugs on the predicted probabilities of tolerance.

(a) – GAMBIT-g9 (R²≤1%); (b) – GAMBIT-g4 (R²≤1%); (c) – ROEDDER-g3 (R²=21%); (d) – NEWELL-g2 (R²=31%); (e) – DANDER-g6 (R²=33%); R² – percentage of explained variability from linear models regressing the predicted probability of tolerance (log-odds) on immunosuppressive (IS) drugs, i.e. the percentage of variability in the probabilities, which is explained by IS drugs coded as follows: prednisolone (PRED) – off or on; calcineurin inhibitors (CNI) – off, on cyclosporine (CYC), or on tacrolimus (TAC); anti-proliferative agents (AP) – off, on azathioprine (AZA), or on mycophenolate mofetil (MMF) (log-odds convert the probability scale, restricted between zero and one, to a continuous scale required for linear regression); p-values – derived from Wald tests in the linear regression models described above, i.e. adjusted for therapy with other IS drugs (of note, most patients off CNI received prednisolone and vice versa, which would explain why differences in gene-expression levels observed between off/on CNI are not always reflected in the adjusted p-values); pail symbols – stable kidney transplant recipients; dark symbols – patients with chronic rejection (CR); horizontal lines per group – mean probability of tolerance for the group; horizontal reference lines – median probability of tolerance in tolerant patients, i.e. a cut-off ensuring 50% sensitivity.