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Application of a target array Comparative Genomic Hybridization to prenatal diagnosis

BACKGROUND: While conventional G-banded karyotyping still remains a gold standard in prenatal genetic diagnoses, the widespread adoption of array Comparative Genomic Hybridization (array CGH) technology for postnatal genetic diagnoses has led to increasing interest in the use of this same technology...

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Autores principales: Park, Ji Hyeon, Woo, Jung Hoon, Shim, Sung Han, Yang, Song-Ju, Choi, Young Min, Yang, Kap-Seok, Cha, Dong Hyun
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2909938/
https://www.ncbi.nlm.nih.gov/pubmed/20576126
http://dx.doi.org/10.1186/1471-2350-11-102
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author Park, Ji Hyeon
Woo, Jung Hoon
Shim, Sung Han
Yang, Song-Ju
Choi, Young Min
Yang, Kap-Seok
Cha, Dong Hyun
author_facet Park, Ji Hyeon
Woo, Jung Hoon
Shim, Sung Han
Yang, Song-Ju
Choi, Young Min
Yang, Kap-Seok
Cha, Dong Hyun
author_sort Park, Ji Hyeon
collection PubMed
description BACKGROUND: While conventional G-banded karyotyping still remains a gold standard in prenatal genetic diagnoses, the widespread adoption of array Comparative Genomic Hybridization (array CGH) technology for postnatal genetic diagnoses has led to increasing interest in the use of this same technology for prenatal diagnosis. We have investigated the value of our own designed DNA chip as a prenatal diagnostic tool for detecting submicroscopic deletions/duplications and chromosome aneuploidies. METHODS: We designed a target bacterial artificial chromosome (BAC)-based aCGH platform (MacArray™ M-chip), which specifically targets submicroscopic deletions/duplications for 26 known genetic syndromes of medical significance observed prenatally. To validate the DNA chip, we obtained genomic DNA from 132 reference materials generated from patients with 22 genetic diseases and 94 clinical amniocentesis samples obtained for karyotyping. RESULTS: In the 132 reference materials, all known genomic alterations were successfully identified. In the 94 clinical samples that were also subjected to conventional karyotyping, three cases of balanced chromosomal aberrations were not detected by aCGH. However, we identified eight cases of microdeletions in the Yq11.23 chromosomal region that were not found by conventional karyotyping. This region harbors the DAZ gene, and deletions may lead to non-obstructive spermatogenesis. CONCLUSIONS: We have successfully designed and applied a BAC-based aCGH platform for prenatal diagnosis. This platform can be used in conjunction with conventional karyotyping and will provide rapid and accurate diagnoses for the targeted genomic regions while eliminating the need to interpret clinically-uncertain genomic regions.
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spelling pubmed-29099382010-07-27 Application of a target array Comparative Genomic Hybridization to prenatal diagnosis Park, Ji Hyeon Woo, Jung Hoon Shim, Sung Han Yang, Song-Ju Choi, Young Min Yang, Kap-Seok Cha, Dong Hyun BMC Med Genet Research Article BACKGROUND: While conventional G-banded karyotyping still remains a gold standard in prenatal genetic diagnoses, the widespread adoption of array Comparative Genomic Hybridization (array CGH) technology for postnatal genetic diagnoses has led to increasing interest in the use of this same technology for prenatal diagnosis. We have investigated the value of our own designed DNA chip as a prenatal diagnostic tool for detecting submicroscopic deletions/duplications and chromosome aneuploidies. METHODS: We designed a target bacterial artificial chromosome (BAC)-based aCGH platform (MacArray™ M-chip), which specifically targets submicroscopic deletions/duplications for 26 known genetic syndromes of medical significance observed prenatally. To validate the DNA chip, we obtained genomic DNA from 132 reference materials generated from patients with 22 genetic diseases and 94 clinical amniocentesis samples obtained for karyotyping. RESULTS: In the 132 reference materials, all known genomic alterations were successfully identified. In the 94 clinical samples that were also subjected to conventional karyotyping, three cases of balanced chromosomal aberrations were not detected by aCGH. However, we identified eight cases of microdeletions in the Yq11.23 chromosomal region that were not found by conventional karyotyping. This region harbors the DAZ gene, and deletions may lead to non-obstructive spermatogenesis. CONCLUSIONS: We have successfully designed and applied a BAC-based aCGH platform for prenatal diagnosis. This platform can be used in conjunction with conventional karyotyping and will provide rapid and accurate diagnoses for the targeted genomic regions while eliminating the need to interpret clinically-uncertain genomic regions. BioMed Central 2010-06-24 /pmc/articles/PMC2909938/ /pubmed/20576126 http://dx.doi.org/10.1186/1471-2350-11-102 Text en Copyright ©2010 Park 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
Park, Ji Hyeon
Woo, Jung Hoon
Shim, Sung Han
Yang, Song-Ju
Choi, Young Min
Yang, Kap-Seok
Cha, Dong Hyun
Application of a target array Comparative Genomic Hybridization to prenatal diagnosis
title Application of a target array Comparative Genomic Hybridization to prenatal diagnosis
title_full Application of a target array Comparative Genomic Hybridization to prenatal diagnosis
title_fullStr Application of a target array Comparative Genomic Hybridization to prenatal diagnosis
title_full_unstemmed Application of a target array Comparative Genomic Hybridization to prenatal diagnosis
title_short Application of a target array Comparative Genomic Hybridization to prenatal diagnosis
title_sort application of a target array comparative genomic hybridization to prenatal diagnosis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2909938/
https://www.ncbi.nlm.nih.gov/pubmed/20576126
http://dx.doi.org/10.1186/1471-2350-11-102
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