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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/1793
Ver los metadatos del registro completo
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oai:ri.conicet.gov.ar:11336/1793 |
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3498 |
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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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1842269687858069504 |
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13.13397 |