Molecular diagnosis of dystrophinopathies using a multi-technique analisis algorithm

Autores
Luce, Leonela N.; Ottaviani, Daniela; Ferrer, Marcela Maria; Szijan, Irena; Cotignola, Javier Hernan; Giliberto, Florencia
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Dystrophinopathies are X-linked recessive neuromuscular diseases caused by mutations in the dystrophin gene. In this study we aimed to detect mutations within the dystrophin gene in DMD patients, to determine the carrier status of women, and to perform a prenatal diagnosis. Methods: We analyzed 17 individuals from 2 unrelated families with a history of DMD. We used multiplex PCR, multiplex ligation-dependent probe amplification (MLPA), and short tandem-repeat (STR) segregation analysis to accurately detect and characterize the mutations and to identify the at-risk haplotype. Results: The selected methodology allowed for the characterization of 2 single-exon out-of-frame deletions in the affected patients. Nine of 13 women and a fetus were excluded from being carriers. Three recombination events were found and suggested that germline mosaicism had occurred in both families. Conclusions: This methodology proved to be efficient for characterizing the disease-causing mutation in affected individuals and for assessing the carrier status in healthy relatives. These findings helped inform precise genetic counseling and contributed to characterization of the disease in the Argentine population.
Fil: Luce, Leonela N.. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Microbiología, Inmunología y Biotecnología. Cátedra de Genética y Biología Molecular; Argentina;
Fil: Ottaviani, Daniela. Gobierno de la Ciudad de Buenos Aires. Hospital de Pediatría; Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Microbiología, Inmunología y Biotecnología. Cátedra de Genética y Biología Molecular; Argentina;
Fil: Ferrer, Marcela Maria. Universidad de Buenos Aires. Facultad de Medicina. Hospital de Clínicas General San Martín; Argentina;
Fil: Szijan, Irena. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Microbiología, Inmunología y Biotecnología. Cátedra de Genética y Biología Molecular; Argentina;
Fil: Cotignola, Javier Hernan. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales; Argentina;
Fil: Giliberto, Florencia. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Microbiología, Inmunología y Biotecnología. Cátedra de Genética y Biología Molecular; Argentina;
Materia
Carrier Detection
Dmd
Duchenne
Dystrophin Gene
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/1793

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oai_identifier_str oai:ri.conicet.gov.ar:11336/1793
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Molecular diagnosis of dystrophinopathies using a multi-technique analisis algorithmLuce, Leonela N.Ottaviani, DanielaFerrer, Marcela MariaSzijan, IrenaCotignola, Javier HernanGiliberto, FlorenciaCarrier DetectionDmdDuchenneDystrophin Genehttps://purl.org/becyt/ford/2.6https://purl.org/becyt/ford/2https://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3Dystrophinopathies are X-linked recessive neuromuscular diseases caused by mutations in the dystrophin gene. In this study we aimed to detect mutations within the dystrophin gene in DMD patients, to determine the carrier status of women, and to perform a prenatal diagnosis. Methods: We analyzed 17 individuals from 2 unrelated families with a history of DMD. We used multiplex PCR, multiplex ligation-dependent probe amplification (MLPA), and short tandem-repeat (STR) segregation analysis to accurately detect and characterize the mutations and to identify the at-risk haplotype. Results: The selected methodology allowed for the characterization of 2 single-exon out-of-frame deletions in the affected patients. Nine of 13 women and a fetus were excluded from being carriers. Three recombination events were found and suggested that germline mosaicism had occurred in both families. Conclusions: This methodology proved to be efficient for characterizing the disease-causing mutation in affected individuals and for assessing the carrier status in healthy relatives. These findings helped inform precise genetic counseling and contributed to characterization of the disease in the Argentine population.Fil: Luce, Leonela N.. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Microbiología, Inmunología y Biotecnología. Cátedra de Genética y Biología Molecular; Argentina;Fil: Ottaviani, Daniela. Gobierno de la Ciudad de Buenos Aires. Hospital de Pediatría; Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Microbiología, Inmunología y Biotecnología. Cátedra de Genética y Biología Molecular; Argentina;Fil: Ferrer, Marcela Maria. Universidad de Buenos Aires. Facultad de Medicina. Hospital de Clínicas General San Martín; Argentina;Fil: Szijan, Irena. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Microbiología, Inmunología y Biotecnología. Cátedra de Genética y Biología Molecular; Argentina;Fil: Cotignola, Javier Hernan. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales; Argentina;Fil: Giliberto, Florencia. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Microbiología, Inmunología y Biotecnología. Cátedra de Genética y Biología Molecular; Argentina;Wiley2013-06-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/1793Luce, Leonela N.; Ottaviani, Daniela; Ferrer, Marcela Maria; Szijan, Irena; Cotignola, Javier Hernan; et al.; Molecular diagnosis of dystrophinopathies using a multi-technique analisis algorithm; Wiley; Muscle & Nerve; 49; 2; 26-6-2013; 249-2560148-639X1097-4598enginfo:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1002/mus.23906/abstractinfo:eu-repo/semantics/altIdentifier/doi/10.1002/mus.23906info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:01:17Zoai:ri.conicet.gov.ar:11336/1793instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:01:18.144CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Molecular diagnosis of dystrophinopathies using a multi-technique analisis algorithm
title Molecular diagnosis of dystrophinopathies using a multi-technique analisis algorithm
spellingShingle Molecular diagnosis of dystrophinopathies using a multi-technique analisis algorithm
Luce, Leonela N.
Carrier Detection
Dmd
Duchenne
Dystrophin Gene
title_short Molecular diagnosis of dystrophinopathies using a multi-technique analisis algorithm
title_full Molecular diagnosis of dystrophinopathies using a multi-technique analisis algorithm
title_fullStr Molecular diagnosis of dystrophinopathies using a multi-technique analisis algorithm
title_full_unstemmed Molecular diagnosis of dystrophinopathies using a multi-technique analisis algorithm
title_sort Molecular diagnosis of dystrophinopathies using a multi-technique analisis algorithm
dc.creator.none.fl_str_mv Luce, Leonela N.
Ottaviani, Daniela
Ferrer, Marcela Maria
Szijan, Irena
Cotignola, Javier Hernan
Giliberto, Florencia
author Luce, Leonela N.
author_facet Luce, Leonela N.
Ottaviani, Daniela
Ferrer, Marcela Maria
Szijan, Irena
Cotignola, Javier Hernan
Giliberto, Florencia
author_role author
author2 Ottaviani, Daniela
Ferrer, Marcela Maria
Szijan, Irena
Cotignola, Javier Hernan
Giliberto, Florencia
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Carrier Detection
Dmd
Duchenne
Dystrophin Gene
topic Carrier Detection
Dmd
Duchenne
Dystrophin Gene
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.6
https://purl.org/becyt/ford/2
https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Dystrophinopathies are X-linked recessive neuromuscular diseases caused by mutations in the dystrophin gene. In this study we aimed to detect mutations within the dystrophin gene in DMD patients, to determine the carrier status of women, and to perform a prenatal diagnosis. Methods: We analyzed 17 individuals from 2 unrelated families with a history of DMD. We used multiplex PCR, multiplex ligation-dependent probe amplification (MLPA), and short tandem-repeat (STR) segregation analysis to accurately detect and characterize the mutations and to identify the at-risk haplotype. Results: The selected methodology allowed for the characterization of 2 single-exon out-of-frame deletions in the affected patients. Nine of 13 women and a fetus were excluded from being carriers. Three recombination events were found and suggested that germline mosaicism had occurred in both families. Conclusions: This methodology proved to be efficient for characterizing the disease-causing mutation in affected individuals and for assessing the carrier status in healthy relatives. These findings helped inform precise genetic counseling and contributed to characterization of the disease in the Argentine population.
Fil: Luce, Leonela N.. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Microbiología, Inmunología y Biotecnología. Cátedra de Genética y Biología Molecular; Argentina;
Fil: Ottaviani, Daniela. Gobierno de la Ciudad de Buenos Aires. Hospital de Pediatría; Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Microbiología, Inmunología y Biotecnología. Cátedra de Genética y Biología Molecular; Argentina;
Fil: Ferrer, Marcela Maria. Universidad de Buenos Aires. Facultad de Medicina. Hospital de Clínicas General San Martín; Argentina;
Fil: Szijan, Irena. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Microbiología, Inmunología y Biotecnología. Cátedra de Genética y Biología Molecular; Argentina;
Fil: Cotignola, Javier Hernan. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales; Argentina;
Fil: Giliberto, Florencia. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Microbiología, Inmunología y Biotecnología. Cátedra de Genética y Biología Molecular; Argentina;
description Dystrophinopathies are X-linked recessive neuromuscular diseases caused by mutations in the dystrophin gene. In this study we aimed to detect mutations within the dystrophin gene in DMD patients, to determine the carrier status of women, and to perform a prenatal diagnosis. Methods: We analyzed 17 individuals from 2 unrelated families with a history of DMD. We used multiplex PCR, multiplex ligation-dependent probe amplification (MLPA), and short tandem-repeat (STR) segregation analysis to accurately detect and characterize the mutations and to identify the at-risk haplotype. Results: The selected methodology allowed for the characterization of 2 single-exon out-of-frame deletions in the affected patients. Nine of 13 women and a fetus were excluded from being carriers. Three recombination events were found and suggested that germline mosaicism had occurred in both families. Conclusions: This methodology proved to be efficient for characterizing the disease-causing mutation in affected individuals and for assessing the carrier status in healthy relatives. These findings helped inform precise genetic counseling and contributed to characterization of the disease in the Argentine population.
publishDate 2013
dc.date.none.fl_str_mv 2013-06-26
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/1793
Luce, Leonela N.; Ottaviani, Daniela; Ferrer, Marcela Maria; Szijan, Irena; Cotignola, Javier Hernan; et al.; Molecular diagnosis of dystrophinopathies using a multi-technique analisis algorithm; Wiley; Muscle & Nerve; 49; 2; 26-6-2013; 249-256
0148-639X
1097-4598
url http://hdl.handle.net/11336/1793
identifier_str_mv Luce, Leonela N.; Ottaviani, Daniela; Ferrer, Marcela Maria; Szijan, Irena; Cotignola, Javier Hernan; et al.; Molecular diagnosis of dystrophinopathies using a multi-technique analisis algorithm; Wiley; Muscle & Nerve; 49; 2; 26-6-2013; 249-256
0148-639X
1097-4598
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1002/mus.23906/abstract
info:eu-repo/semantics/altIdentifier/doi/10.1002/mus.23906
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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