Fig. 1.

Schematic representation of the study setup. a Leave-one-out cross-validation (LOOCV) for feature selection and classification model fitting. Each sample is systematically left out in each fold. Prediction error estimates are based on left out samples (blue). b The analysis procedure within each LOOCV fold includes a first round of feature selection with a logistic regression association test followed by fitting a Random forest classification model on variants below an initial association p-value threshold