Literature DB >> 25086671

Targeted sequencing of a pediatric metabolic bone gene panel using a desktop semiconductor next-generation sequencer.

Frank Rauch1, Liljana Lalic, Francis H Glorieux, Pierre Moffatt, Peter Roughley.   

Abstract

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.

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Year:  2014        PMID: 25086671     DOI: 10.1007/s00223-014-9897-9

Source DB:  PubMed          Journal:  Calcif Tissue Int        ISSN: 0171-967X            Impact factor:   4.333


  6 in total

1.  ALPL mutations in adults with rheumatologic disorders and low serum alkaline phosphatase activity.

Authors:  Frank Rauch; Ghalib Bardai; Cheryl Rockman-Greenberg
Journal:  J Bone Miner Metab       Date:  2019-02-04       Impact factor: 2.626

Review 2.  Osteogenesis imperfecta in children and adolescents-new developments in diagnosis and treatment.

Authors:  P Trejo; F Rauch
Journal:  Osteoporos Int       Date:  2016-08-05       Impact factor: 4.507

3.  DNA sequence analysis in 598 individuals with a clinical diagnosis of osteogenesis imperfecta: diagnostic yield and mutation spectrum.

Authors:  G Bardai; P Moffatt; F H Glorieux; F Rauch
Journal:  Osteoporos Int       Date:  2016-08-11       Impact factor: 4.507

4.  Novel mutations in FKBP10 in Chinese patients with osteogenesis imperfecta and their treatment with zoledronic acid.

Authors:  Xiao-Jie Xu; Fang Lv; Yi Liu; Jian-Yi Wang; Dou-Dou Ma; Jia-Wei Wang; Li-Jie Song; Yan Jiang; Ou Wang; Wei-Bo Xia; Xiao-Ping Xing; Mei Li
Journal:  J Hum Genet       Date:  2016-08-25       Impact factor: 3.172

5.  Gene mutation spectrum and genotype-phenotype correlation in a cohort of Chinese osteogenesis imperfecta patients revealed by targeted next generation sequencing.

Authors:  Y Liu; D Ma; F Lv; X Xu; J Wang; W Xia; Y Jiang; O Wang; X Xing; W Yu; J Wang; J Sun; L Song; Y Zhu; H Yang; J Wang; M Li
Journal:  Osteoporos Int       Date:  2017-07-19       Impact factor: 4.507

6.  Functional Analysis of VDR Gene Mutation R343H in A Child with Vitamin D-Resistant Rickets with Alopecia.

Authors:  Min-Hua Tseng; Shih-Ming Huang; Fu-Sung Lo; Jing-Long Huang; Chih-Jen Cheng; Hwei-Jen Lee; Shih-Hua Lin
Journal:  Sci Rep       Date:  2017-11-10       Impact factor: 4.379

  6 in total

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