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A novel custom high density-comparative genomic hybridization array detects common rearrangements as well as deep intronic mutations in dystrophinopathies

BACKGROUND: The commonest pathogenic DMD changes are intragenic deletions/duplications which make up to 78% of all cases and point mutations (roughly 20%) detectable through direct sequencing. The remaining mutations (about 2%) are thought to be pure intronic rearrangements/mutations or 5'-3�...

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Autores principales: Bovolenta, Matteo, Neri, Marcella, Fini, Sergio, Fabris, Marina, Trabanelli, Cecilia, Venturoli, Anna, Martoni, Elena, Bassi, Elena, Spitali, Pietro, Brioschi, Simona, Falzarano, Maria S, Rimessi, Paola, Ciccone, Roberto, Ashton, Emma, McCauley, Joanne, Yau, Shu, Abbs, Stephen, Muntoni, Francesco, Merlini, Luciano, Gualandi, Francesca, Ferlini, Alessandra
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2612025/
https://www.ncbi.nlm.nih.gov/pubmed/19040728
http://dx.doi.org/10.1186/1471-2164-9-572
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author Bovolenta, Matteo
Neri, Marcella
Fini, Sergio
Fabris, Marina
Trabanelli, Cecilia
Venturoli, Anna
Martoni, Elena
Bassi, Elena
Spitali, Pietro
Brioschi, Simona
Falzarano, Maria S
Rimessi, Paola
Ciccone, Roberto
Ashton, Emma
McCauley, Joanne
Yau, Shu
Abbs, Stephen
Muntoni, Francesco
Merlini, Luciano
Gualandi, Francesca
Ferlini, Alessandra
author_facet Bovolenta, Matteo
Neri, Marcella
Fini, Sergio
Fabris, Marina
Trabanelli, Cecilia
Venturoli, Anna
Martoni, Elena
Bassi, Elena
Spitali, Pietro
Brioschi, Simona
Falzarano, Maria S
Rimessi, Paola
Ciccone, Roberto
Ashton, Emma
McCauley, Joanne
Yau, Shu
Abbs, Stephen
Muntoni, Francesco
Merlini, Luciano
Gualandi, Francesca
Ferlini, Alessandra
author_sort Bovolenta, Matteo
collection PubMed
description BACKGROUND: The commonest pathogenic DMD changes are intragenic deletions/duplications which make up to 78% of all cases and point mutations (roughly 20%) detectable through direct sequencing. The remaining mutations (about 2%) are thought to be pure intronic rearrangements/mutations or 5'-3' UTR changes. In order to screen the huge DMD gene for all types of copy number variation mutations we designed a novel custom high density comparative genomic hybridisation array which contains the full genomic region of the DMD gene and spans from 100 kb upstream to 100 kb downstream of the 2.2 Mb DMD gene. RESULTS: We studied 12 DMD/BMD patients who either had no detectable mutations or carried previously identified quantitative pathogenic changes in the DMD gene. We validated the array on patients with previously known mutations as well as unaffected controls, we identified three novel pure intronic rearrangements and we defined all the mutation breakpoints both in the introns and in the 3' UTR region. We also detected a novel polymorphic intron 2 deletion/duplication variation. Despite the high resolution of this approach, RNA studies were required to confirm the functional significance of the intronic mutations identified by CGH. In addition, RNA analysis identified three intronic pathogenic variations affecting splicing which had not been detected by the CGH analysis. CONCLUSION: This novel technology represents an effective high throughput tool to identify both common and rarer DMD rearrangements. RNA studies are required in order to validate the significance of the CGH array findings. The combination of these tools will fully cover the identification of causative DMD rearrangements in both coding and non-coding regions, particularly in patients in whom standard although extensive techniques are unable to detect a mutation.
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spelling pubmed-26120252008-12-30 A novel custom high density-comparative genomic hybridization array detects common rearrangements as well as deep intronic mutations in dystrophinopathies Bovolenta, Matteo Neri, Marcella Fini, Sergio Fabris, Marina Trabanelli, Cecilia Venturoli, Anna Martoni, Elena Bassi, Elena Spitali, Pietro Brioschi, Simona Falzarano, Maria S Rimessi, Paola Ciccone, Roberto Ashton, Emma McCauley, Joanne Yau, Shu Abbs, Stephen Muntoni, Francesco Merlini, Luciano Gualandi, Francesca Ferlini, Alessandra BMC Genomics Research Article BACKGROUND: The commonest pathogenic DMD changes are intragenic deletions/duplications which make up to 78% of all cases and point mutations (roughly 20%) detectable through direct sequencing. The remaining mutations (about 2%) are thought to be pure intronic rearrangements/mutations or 5'-3' UTR changes. In order to screen the huge DMD gene for all types of copy number variation mutations we designed a novel custom high density comparative genomic hybridisation array which contains the full genomic region of the DMD gene and spans from 100 kb upstream to 100 kb downstream of the 2.2 Mb DMD gene. RESULTS: We studied 12 DMD/BMD patients who either had no detectable mutations or carried previously identified quantitative pathogenic changes in the DMD gene. We validated the array on patients with previously known mutations as well as unaffected controls, we identified three novel pure intronic rearrangements and we defined all the mutation breakpoints both in the introns and in the 3' UTR region. We also detected a novel polymorphic intron 2 deletion/duplication variation. Despite the high resolution of this approach, RNA studies were required to confirm the functional significance of the intronic mutations identified by CGH. In addition, RNA analysis identified three intronic pathogenic variations affecting splicing which had not been detected by the CGH analysis. CONCLUSION: This novel technology represents an effective high throughput tool to identify both common and rarer DMD rearrangements. RNA studies are required in order to validate the significance of the CGH array findings. The combination of these tools will fully cover the identification of causative DMD rearrangements in both coding and non-coding regions, particularly in patients in whom standard although extensive techniques are unable to detect a mutation. BioMed Central 2008-11-28 /pmc/articles/PMC2612025/ /pubmed/19040728 http://dx.doi.org/10.1186/1471-2164-9-572 Text en Copyright © 2008 Bovolenta et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Bovolenta, Matteo
Neri, Marcella
Fini, Sergio
Fabris, Marina
Trabanelli, Cecilia
Venturoli, Anna
Martoni, Elena
Bassi, Elena
Spitali, Pietro
Brioschi, Simona
Falzarano, Maria S
Rimessi, Paola
Ciccone, Roberto
Ashton, Emma
McCauley, Joanne
Yau, Shu
Abbs, Stephen
Muntoni, Francesco
Merlini, Luciano
Gualandi, Francesca
Ferlini, Alessandra
A novel custom high density-comparative genomic hybridization array detects common rearrangements as well as deep intronic mutations in dystrophinopathies
title A novel custom high density-comparative genomic hybridization array detects common rearrangements as well as deep intronic mutations in dystrophinopathies
title_full A novel custom high density-comparative genomic hybridization array detects common rearrangements as well as deep intronic mutations in dystrophinopathies
title_fullStr A novel custom high density-comparative genomic hybridization array detects common rearrangements as well as deep intronic mutations in dystrophinopathies
title_full_unstemmed A novel custom high density-comparative genomic hybridization array detects common rearrangements as well as deep intronic mutations in dystrophinopathies
title_short A novel custom high density-comparative genomic hybridization array detects common rearrangements as well as deep intronic mutations in dystrophinopathies
title_sort novel custom high density-comparative genomic hybridization array detects common rearrangements as well as deep intronic mutations in dystrophinopathies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2612025/
https://www.ncbi.nlm.nih.gov/pubmed/19040728
http://dx.doi.org/10.1186/1471-2164-9-572
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