COL4A3 and kidney disorder: The predictive performance of in silico programs has been evaluated with computational methods against data sets that contain pathogenic and benign variants obtained from public resources (eg, Universal Protein Resource [Uniprot]), literature, and curated disease databases in which variants in kidney disease genes are not highly represented.19, 20, 21, 22, 23, 24, 25, 26 We evaluate the predictive performance of in silico programs for COL4A3/A4/A5 missense variants by first comparing with clinically categorized variants deposited in 3 public disease databases and a local FSGS cohort.