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Microarray testing in clinical diagnosis: an analysis of 5,300 New Zealand patients

BACKGROUND: The use of Microarray (array CGH) analysis has become a widely accepted front-line test replacing G banded chromosome studies for patients with an unexplained phenotype. We detail our findings of over 5300 cases. RESULTS: Of 5369 pre and postnatal samples, copy number variants (CNVs) wer...

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Autores principales: Mc Cormack, Adrian, Claxton, Karen, Ashton, Fern, Asquith, Philip, Atack, Edward, Mazzaschi, Roberto, Moverley, Paula, O’Connor, Rachel, Qorri, Methat, Sheath, Karen, Love, Donald R., George, Alice M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4815202/
https://www.ncbi.nlm.nih.gov/pubmed/27034718
http://dx.doi.org/10.1186/s13039-016-0237-9
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author Mc Cormack, Adrian
Claxton, Karen
Ashton, Fern
Asquith, Philip
Atack, Edward
Mazzaschi, Roberto
Moverley, Paula
O’Connor, Rachel
Qorri, Methat
Sheath, Karen
Love, Donald R.
George, Alice M.
author_facet Mc Cormack, Adrian
Claxton, Karen
Ashton, Fern
Asquith, Philip
Atack, Edward
Mazzaschi, Roberto
Moverley, Paula
O’Connor, Rachel
Qorri, Methat
Sheath, Karen
Love, Donald R.
George, Alice M.
author_sort Mc Cormack, Adrian
collection PubMed
description BACKGROUND: The use of Microarray (array CGH) analysis has become a widely accepted front-line test replacing G banded chromosome studies for patients with an unexplained phenotype. We detail our findings of over 5300 cases. RESULTS: Of 5369 pre and postnatal samples, copy number variants (CNVs) were detected in 28.3 %, of which ~40 % were deletions and ~60 % were duplications. 96.8 % of cases with a CNV <5 Mb would not have been detected by G banding. At least 4.9 % were determined to meet the minimum criteria for a known syndrome. Chromosome 17 provided the greatest proportion of pathogenic CNVs with 65 % classified as (likely) pathogenic. X chromosome CNVs were the most commonly detected accounting for 4.2 % of cases, 0.7 % of these being classified as cryptic (likely) pathogenic CNVs. CONCLUSIONS: Microarray analysis as a primary testing strategy has led to a significant increase in the detection of CNVs (~29 % overall), with ~9 % carrying pathogenic CNVs and one syndromic case identified per 20 referred patients. We suggest these frequencies are consistent with other heterogeneous studies. Conversely, (likely) pathogenic X chromosome CNVs appear to be greater compared with previous studies.
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spelling pubmed-48152022016-04-01 Microarray testing in clinical diagnosis: an analysis of 5,300 New Zealand patients Mc Cormack, Adrian Claxton, Karen Ashton, Fern Asquith, Philip Atack, Edward Mazzaschi, Roberto Moverley, Paula O’Connor, Rachel Qorri, Methat Sheath, Karen Love, Donald R. George, Alice M. Mol Cytogenet Research BACKGROUND: The use of Microarray (array CGH) analysis has become a widely accepted front-line test replacing G banded chromosome studies for patients with an unexplained phenotype. We detail our findings of over 5300 cases. RESULTS: Of 5369 pre and postnatal samples, copy number variants (CNVs) were detected in 28.3 %, of which ~40 % were deletions and ~60 % were duplications. 96.8 % of cases with a CNV <5 Mb would not have been detected by G banding. At least 4.9 % were determined to meet the minimum criteria for a known syndrome. Chromosome 17 provided the greatest proportion of pathogenic CNVs with 65 % classified as (likely) pathogenic. X chromosome CNVs were the most commonly detected accounting for 4.2 % of cases, 0.7 % of these being classified as cryptic (likely) pathogenic CNVs. CONCLUSIONS: Microarray analysis as a primary testing strategy has led to a significant increase in the detection of CNVs (~29 % overall), with ~9 % carrying pathogenic CNVs and one syndromic case identified per 20 referred patients. We suggest these frequencies are consistent with other heterogeneous studies. Conversely, (likely) pathogenic X chromosome CNVs appear to be greater compared with previous studies. BioMed Central 2016-03-31 /pmc/articles/PMC4815202/ /pubmed/27034718 http://dx.doi.org/10.1186/s13039-016-0237-9 Text en © Mc Cormack et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Mc Cormack, Adrian
Claxton, Karen
Ashton, Fern
Asquith, Philip
Atack, Edward
Mazzaschi, Roberto
Moverley, Paula
O’Connor, Rachel
Qorri, Methat
Sheath, Karen
Love, Donald R.
George, Alice M.
Microarray testing in clinical diagnosis: an analysis of 5,300 New Zealand patients
title Microarray testing in clinical diagnosis: an analysis of 5,300 New Zealand patients
title_full Microarray testing in clinical diagnosis: an analysis of 5,300 New Zealand patients
title_fullStr Microarray testing in clinical diagnosis: an analysis of 5,300 New Zealand patients
title_full_unstemmed Microarray testing in clinical diagnosis: an analysis of 5,300 New Zealand patients
title_short Microarray testing in clinical diagnosis: an analysis of 5,300 New Zealand patients
title_sort microarray testing in clinical diagnosis: an analysis of 5,300 new zealand patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4815202/
https://www.ncbi.nlm.nih.gov/pubmed/27034718
http://dx.doi.org/10.1186/s13039-016-0237-9
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