IFNA2 and tuberculosis: When the data was trimmed using a statistical procedure in which the influence of outliers on the data is scaled down, before analysis, there was an increase in the predictive abilities of the 4-analyte models (Table S3), with the three most accurate models comprising of four-analyte combinations between IL-1Ra (N), IL-1α (N), IP-10(N), sCD40L(Ag), TNF-α(N), TGF-α (Ag-N) and IFN-α2 (Ag), accurately predicting up to 84% (48/57) of the non TB cases and up to 84.2% (16/19) of the TB cases after leave-one-out cross validation (Table S3).