Metabolic bone disorders in children frequently are heritable, but the expanding number of genes associated with these conditions makes it difficult to perform molecular diagnosis. In the present study, we therefore evaluated a semiconductor (SC)-based sequencing system for this purpose. A total of 65 DNA samples were analyzed comprising 24 samples from patients with 27 known pathogenic mutations, 6 samples from patients with prior negative Sanger sequencing, and 35 consecutive samples from patients with suspected heritable metabolic bone disorders who had not had prior molecular diagnosis. In the samples with known pathogenic mutations, 26 of 27 mutations were identified by SC sequencing. All single nucleotide variants were correctly identified, but a 7-nucleotide duplication in CYP27B1 was not detected. SC sequencing revealed two pathogenic mutations in the six samples where prior Sanger sequencing had failed to identify a mutation. Finally, pathogenic mutations were found in 27 samples of patients with unknown mutation status (15 in COL1A1, 9 in COL1A2, 1 in LEPRE1, 1 in LRP5, 1 in PHEX). Subsequent Sanger sequencing confirmed the mutations in all 27 samples. In conclusion, we found that SC sequencing is suitable for the diagnosis of heritable metabolic bone disorders in children.