Literature DB >> 21852204

A wide methodological approach to identify a large duplication in CFTR gene in a CF patient uncharacterised by sequencing analysis.

Lucy Costantino1, Damiana Rusconi, Laura Claut, Carla Colombo, Francesca Novara, Valentina Paracchini, Luigi Porcaro, Patrizia Capasso, Orsetta Zuffardi, Manuela Seia.   

Abstract

BACKGROUND: PCR-based diagnostic procedures are not able to characterise 6% of CF alleles. Recently, the application of array-CGH and of CFTR mRNA analysis has allowed the identification of new copy number mutations and splicing defects, that account for 2% and 13% of CF alleles, respectively, in the Italian population.
METHODS: Here, we report the characterisation of a large duplication in CFTR gene through different methods: MLPA assay, RT-PCR and high-resolution array-CGH.
RESULTS: We identified a large duplication, involving exons 6b-16, in a patient heterozygous for F508del mutation. This duplication produces an abnormal transcript with an out of frame addition of 2244 nucleotides and leads to the insertion of 8 amino-acid residues in the protein, followed by a stop codon.
CONCLUSIONS: We propose a wide methodological approach based on MLPA assay, RT-PCR and high-resolution array-CGH to routinely analyse CF patients uncharacterised for one or both CFTR alleles.
Copyright © 2011 European Cystic Fibrosis Society. Published by Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21852204     DOI: 10.1016/j.jcf.2011.06.007

Source DB:  PubMed          Journal:  J Cyst Fibros        ISSN: 1569-1993            Impact factor:   5.482


  2 in total

1.  Intragenic CFTR Duplication and 5T/12TG Variant in a Patient with Non-Classic Cystic Fibrosis.

Authors:  Patricia B S Celestino-Soper; Edward Simpson; Danika Tumbleson Brink; Ty C Lynnes; Stephen Dlouhy; Matteo Vatta; Jana Yeley; Cynthia Brown; Shaochun Bai
Journal:  Sci Rep       Date:  2016-12-20       Impact factor: 4.379

2.  Analysis of CNVs of CFTR gene in Chinese Han population with CBAVD.

Authors:  Chengquan Ma; Ruyi Wang; Tengyan Li; Hongjun Li; Binbin Wang
Journal:  Mol Genet Genomic Med       Date:  2020-09-19       Impact factor: 2.183

  2 in total

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