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Molecular analysis using DHPLC of cystic fibrosis: increase of the mutation detection rate among the affected population in Central Italy

BACKGROUND: Cystic fibrosis (CF) is a multisystem disorder characterised by mutations of the CFTR gene, which encodes for an important component in the coordination of electrolyte movement across of epithelial cell membranes. Symptoms are pulmonary disease, pancreatic exocrine insufficiency, male in...

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Autores principales: D'Apice, Maria Rosaria, Gambardella, Stefano, Bengala, Mario, Russo, Silvia, Nardone, Anna Maria, Lucidi, Vincenzina, Sangiuolo, Federica, Novelli, Giuseppe
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC419352/
https://www.ncbi.nlm.nih.gov/pubmed/15084222
http://dx.doi.org/10.1186/1471-2350-5-8
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author D'Apice, Maria Rosaria
Gambardella, Stefano
Bengala, Mario
Russo, Silvia
Nardone, Anna Maria
Lucidi, Vincenzina
Sangiuolo, Federica
Novelli, Giuseppe
author_facet D'Apice, Maria Rosaria
Gambardella, Stefano
Bengala, Mario
Russo, Silvia
Nardone, Anna Maria
Lucidi, Vincenzina
Sangiuolo, Federica
Novelli, Giuseppe
author_sort D'Apice, Maria Rosaria
collection PubMed
description BACKGROUND: Cystic fibrosis (CF) is a multisystem disorder characterised by mutations of the CFTR gene, which encodes for an important component in the coordination of electrolyte movement across of epithelial cell membranes. Symptoms are pulmonary disease, pancreatic exocrine insufficiency, male infertility and elevated sweat concentrations. The CFTR gene has numerous mutations (>1000) and functionally important polymorphisms (>200). Early identification is important to provide appropriate therapeutic interventions, prognostic and genetic counselling and to ensure access to specialised medical services. However, molecular diagnosis by direct mutation screening has proved difficult in certain ethnic groups due to allelic heterogeneity and variable frequency of causative mutations. METHODS: We applied a gene scanning approach using DHPLC system for analysing specifically all CFTR exons and characterise sequence variations in a subgroup of CF Italian patients from the Lazio region (Central Italy) characterised by an extensive allelic heterogeneity. RESULTS: We have identified a total of 36 different mutations representing 88% of the CF chromosomes. Among these are two novel CFTR mutations, including one missense (H199R) and one microdeletion (4167delCTAAGCC). CONCLUSION: Using this approach, we were able to increase our standard power rate of mutation detection of about 11% (77% vs. 88%).
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spelling pubmed-4193522004-05-28 Molecular analysis using DHPLC of cystic fibrosis: increase of the mutation detection rate among the affected population in Central Italy D'Apice, Maria Rosaria Gambardella, Stefano Bengala, Mario Russo, Silvia Nardone, Anna Maria Lucidi, Vincenzina Sangiuolo, Federica Novelli, Giuseppe BMC Med Genet Technical Advance BACKGROUND: Cystic fibrosis (CF) is a multisystem disorder characterised by mutations of the CFTR gene, which encodes for an important component in the coordination of electrolyte movement across of epithelial cell membranes. Symptoms are pulmonary disease, pancreatic exocrine insufficiency, male infertility and elevated sweat concentrations. The CFTR gene has numerous mutations (>1000) and functionally important polymorphisms (>200). Early identification is important to provide appropriate therapeutic interventions, prognostic and genetic counselling and to ensure access to specialised medical services. However, molecular diagnosis by direct mutation screening has proved difficult in certain ethnic groups due to allelic heterogeneity and variable frequency of causative mutations. METHODS: We applied a gene scanning approach using DHPLC system for analysing specifically all CFTR exons and characterise sequence variations in a subgroup of CF Italian patients from the Lazio region (Central Italy) characterised by an extensive allelic heterogeneity. RESULTS: We have identified a total of 36 different mutations representing 88% of the CF chromosomes. Among these are two novel CFTR mutations, including one missense (H199R) and one microdeletion (4167delCTAAGCC). CONCLUSION: Using this approach, we were able to increase our standard power rate of mutation detection of about 11% (77% vs. 88%). BioMed Central 2004-04-14 /pmc/articles/PMC419352/ /pubmed/15084222 http://dx.doi.org/10.1186/1471-2350-5-8 Text en Copyright © 2004 D'Apice et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
spellingShingle Technical Advance
D'Apice, Maria Rosaria
Gambardella, Stefano
Bengala, Mario
Russo, Silvia
Nardone, Anna Maria
Lucidi, Vincenzina
Sangiuolo, Federica
Novelli, Giuseppe
Molecular analysis using DHPLC of cystic fibrosis: increase of the mutation detection rate among the affected population in Central Italy
title Molecular analysis using DHPLC of cystic fibrosis: increase of the mutation detection rate among the affected population in Central Italy
title_full Molecular analysis using DHPLC of cystic fibrosis: increase of the mutation detection rate among the affected population in Central Italy
title_fullStr Molecular analysis using DHPLC of cystic fibrosis: increase of the mutation detection rate among the affected population in Central Italy
title_full_unstemmed Molecular analysis using DHPLC of cystic fibrosis: increase of the mutation detection rate among the affected population in Central Italy
title_short Molecular analysis using DHPLC of cystic fibrosis: increase of the mutation detection rate among the affected population in Central Italy
title_sort molecular analysis using dhplc of cystic fibrosis: increase of the mutation detection rate among the affected population in central italy
topic Technical Advance
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC419352/
https://www.ncbi.nlm.nih.gov/pubmed/15084222
http://dx.doi.org/10.1186/1471-2350-5-8
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