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A method for accurate detection of genomic microdeletions using real-time quantitative PCR

BACKGROUND: Quantitative Polymerase Chain Reaction (qPCR) is a well-established method for quantifying levels of gene expression, but has not been routinely applied to the detection of constitutional copy number alterations of human genomic DNA. Microdeletions or microduplications of the human genom...

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Autores principales: Weksberg, Rosanna, Hughes, Simon, Moldovan, Laura, Bassett, Anne S, Chow, Eva WC, Squire, Jeremy A
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1327677/
https://www.ncbi.nlm.nih.gov/pubmed/16351727
http://dx.doi.org/10.1186/1471-2164-6-180
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author Weksberg, Rosanna
Hughes, Simon
Moldovan, Laura
Bassett, Anne S
Chow, Eva WC
Squire, Jeremy A
author_facet Weksberg, Rosanna
Hughes, Simon
Moldovan, Laura
Bassett, Anne S
Chow, Eva WC
Squire, Jeremy A
author_sort Weksberg, Rosanna
collection PubMed
description BACKGROUND: Quantitative Polymerase Chain Reaction (qPCR) is a well-established method for quantifying levels of gene expression, but has not been routinely applied to the detection of constitutional copy number alterations of human genomic DNA. Microdeletions or microduplications of the human genome are associated with a variety of genetic disorders. Although, clinical laboratories routinely use fluorescence in situ hybridization (FISH) to identify such cryptic genomic alterations, there remains a significant number of individuals in which constitutional genomic imbalance is suspected, based on clinical parameters, but cannot be readily detected using current cytogenetic techniques. RESULTS: In this study, a novel application for real-time qPCR is presented that can be used to reproducibly detect chromosomal microdeletions and microduplications. This approach was applied to DNA from a series of patient samples and controls to validate genomic copy number alteration at cytoband 22q11. The study group comprised 12 patients with clinical symptoms of chromosome 22q11 deletion syndrome (22q11DS), 1 patient trisomic for 22q11 and 4 normal controls. 6 of the patients (group 1) had known hemizygous deletions, as detected by standard diagnostic FISH, whilst the remaining 6 patients (group 2) were classified as 22q11DS negative using the clinical FISH assay. Screening of the patients and controls with a set of 10 real time qPCR primers, spanning the 22q11.2-deleted region and flanking sequence, confirmed the FISH assay results for all patients with 100% concordance. Moreover, this qPCR enabled a refinement of the region of deletion at 22q11. Analysis of DNA from chromosome 22 trisomic sample demonstrated genomic duplication within 22q11. CONCLUSION: In this paper we present a qPCR approach for the detection of chromosomal microdeletions and microduplications. The strategic use of in silico modelling for qPCR primer design to avoid regions of repetitive DNA, whilst providing a level of genomic resolution greater than standard cytogenetic assays. The implementation of qPCR detection in clinical laboratories will address the need to replace complex, expensive and time consuming FISH screening to detect genomic microdeletions or duplications of clinical importance.
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spelling pubmed-13276772006-01-24 A method for accurate detection of genomic microdeletions using real-time quantitative PCR Weksberg, Rosanna Hughes, Simon Moldovan, Laura Bassett, Anne S Chow, Eva WC Squire, Jeremy A BMC Genomics Research Article BACKGROUND: Quantitative Polymerase Chain Reaction (qPCR) is a well-established method for quantifying levels of gene expression, but has not been routinely applied to the detection of constitutional copy number alterations of human genomic DNA. Microdeletions or microduplications of the human genome are associated with a variety of genetic disorders. Although, clinical laboratories routinely use fluorescence in situ hybridization (FISH) to identify such cryptic genomic alterations, there remains a significant number of individuals in which constitutional genomic imbalance is suspected, based on clinical parameters, but cannot be readily detected using current cytogenetic techniques. RESULTS: In this study, a novel application for real-time qPCR is presented that can be used to reproducibly detect chromosomal microdeletions and microduplications. This approach was applied to DNA from a series of patient samples and controls to validate genomic copy number alteration at cytoband 22q11. The study group comprised 12 patients with clinical symptoms of chromosome 22q11 deletion syndrome (22q11DS), 1 patient trisomic for 22q11 and 4 normal controls. 6 of the patients (group 1) had known hemizygous deletions, as detected by standard diagnostic FISH, whilst the remaining 6 patients (group 2) were classified as 22q11DS negative using the clinical FISH assay. Screening of the patients and controls with a set of 10 real time qPCR primers, spanning the 22q11.2-deleted region and flanking sequence, confirmed the FISH assay results for all patients with 100% concordance. Moreover, this qPCR enabled a refinement of the region of deletion at 22q11. Analysis of DNA from chromosome 22 trisomic sample demonstrated genomic duplication within 22q11. CONCLUSION: In this paper we present a qPCR approach for the detection of chromosomal microdeletions and microduplications. The strategic use of in silico modelling for qPCR primer design to avoid regions of repetitive DNA, whilst providing a level of genomic resolution greater than standard cytogenetic assays. The implementation of qPCR detection in clinical laboratories will address the need to replace complex, expensive and time consuming FISH screening to detect genomic microdeletions or duplications of clinical importance. BioMed Central 2005-12-13 /pmc/articles/PMC1327677/ /pubmed/16351727 http://dx.doi.org/10.1186/1471-2164-6-180 Text en Copyright © 2005 Weksberg 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
Weksberg, Rosanna
Hughes, Simon
Moldovan, Laura
Bassett, Anne S
Chow, Eva WC
Squire, Jeremy A
A method for accurate detection of genomic microdeletions using real-time quantitative PCR
title A method for accurate detection of genomic microdeletions using real-time quantitative PCR
title_full A method for accurate detection of genomic microdeletions using real-time quantitative PCR
title_fullStr A method for accurate detection of genomic microdeletions using real-time quantitative PCR
title_full_unstemmed A method for accurate detection of genomic microdeletions using real-time quantitative PCR
title_short A method for accurate detection of genomic microdeletions using real-time quantitative PCR
title_sort method for accurate detection of genomic microdeletions using real-time quantitative pcr
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1327677/
https://www.ncbi.nlm.nih.gov/pubmed/16351727
http://dx.doi.org/10.1186/1471-2164-6-180
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