Molecular diagnosis of autosomal dominant tubulointerstitial kidney disease (ADTKD) due to variants in the MUC1 gene has long been challenging because variants lie in a large variable number of tandem repeat (VNTR) region, making identification impossible using standard short-read techniques. Previously, we addressed this diagnostic limitation by developing a computational pipeline named VNtyper for easier reliable detection of MUC1 VNTR pathogenic variants from short-read sequences. This led to unexpected diagnoses of ADTKD-MUC1 among patients with kidney disease referred for genetic testing, which we report here.