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Identification of Somatic Structural Variants in Solid Tumors by Optical Genome Mapping

Genomic structural variants comprise a significant fraction of somatic mutations driving cancer onset and progression. However, such variants are not readily revealed by standard next-generation sequencing. Optical genome mapping (OGM) surpasses short-read sequencing in detecting large (>500 bp)...

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Autores principales: Goldrich, David Y., LaBarge, Brandon, Chartrand, Scott, Zhang, Lijun, Sadowski, Henry B., Zhang, Yang, Pham, Khoa, Way, Hannah, Lai, Chi-Yu Jill, Pang, Andy Wing Chun, Clifford, Benjamin, Hastie, Alex R., Oldakowski, Mark, Goldenberg, David, Broach, James R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921992/
https://www.ncbi.nlm.nih.gov/pubmed/33670576
http://dx.doi.org/10.3390/jpm11020142
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author Goldrich, David Y.
LaBarge, Brandon
Chartrand, Scott
Zhang, Lijun
Sadowski, Henry B.
Zhang, Yang
Pham, Khoa
Way, Hannah
Lai, Chi-Yu Jill
Pang, Andy Wing Chun
Clifford, Benjamin
Hastie, Alex R.
Oldakowski, Mark
Goldenberg, David
Broach, James R.
author_facet Goldrich, David Y.
LaBarge, Brandon
Chartrand, Scott
Zhang, Lijun
Sadowski, Henry B.
Zhang, Yang
Pham, Khoa
Way, Hannah
Lai, Chi-Yu Jill
Pang, Andy Wing Chun
Clifford, Benjamin
Hastie, Alex R.
Oldakowski, Mark
Goldenberg, David
Broach, James R.
author_sort Goldrich, David Y.
collection PubMed
description Genomic structural variants comprise a significant fraction of somatic mutations driving cancer onset and progression. However, such variants are not readily revealed by standard next-generation sequencing. Optical genome mapping (OGM) surpasses short-read sequencing in detecting large (>500 bp) and complex structural variants (SVs) but requires isolation of ultra-high-molecular-weight DNA from the tissue of interest. We have successfully applied a protocol involving a paramagnetic nanobind disc to a wide range of solid tumors. Using as little as 6.5 mg of input tumor tissue, we show successful extraction of high-molecular-weight genomic DNA that provides a high genomic map rate and effective coverage by optical mapping. We demonstrate the system’s utility in identifying somatic SVs affecting functional and cancer-related genes for each sample. Duplicate/triplicate analysis of select samples shows intra-sample reliability but also intra-sample heterogeneity. We also demonstrate that simply filtering SVs based on a GRCh38 human control database provides high positive and negative predictive values for true somatic variants. Our results indicate that the solid tissue DNA extraction protocol, OGM and SV analysis can be applied to a wide variety of solid tumors to capture SVs across the entire genome with functional importance in cancer prognosis and treatment.
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spelling pubmed-79219922021-03-03 Identification of Somatic Structural Variants in Solid Tumors by Optical Genome Mapping Goldrich, David Y. LaBarge, Brandon Chartrand, Scott Zhang, Lijun Sadowski, Henry B. Zhang, Yang Pham, Khoa Way, Hannah Lai, Chi-Yu Jill Pang, Andy Wing Chun Clifford, Benjamin Hastie, Alex R. Oldakowski, Mark Goldenberg, David Broach, James R. J Pers Med Article Genomic structural variants comprise a significant fraction of somatic mutations driving cancer onset and progression. However, such variants are not readily revealed by standard next-generation sequencing. Optical genome mapping (OGM) surpasses short-read sequencing in detecting large (>500 bp) and complex structural variants (SVs) but requires isolation of ultra-high-molecular-weight DNA from the tissue of interest. We have successfully applied a protocol involving a paramagnetic nanobind disc to a wide range of solid tumors. Using as little as 6.5 mg of input tumor tissue, we show successful extraction of high-molecular-weight genomic DNA that provides a high genomic map rate and effective coverage by optical mapping. We demonstrate the system’s utility in identifying somatic SVs affecting functional and cancer-related genes for each sample. Duplicate/triplicate analysis of select samples shows intra-sample reliability but also intra-sample heterogeneity. We also demonstrate that simply filtering SVs based on a GRCh38 human control database provides high positive and negative predictive values for true somatic variants. Our results indicate that the solid tissue DNA extraction protocol, OGM and SV analysis can be applied to a wide variety of solid tumors to capture SVs across the entire genome with functional importance in cancer prognosis and treatment. MDPI 2021-02-18 /pmc/articles/PMC7921992/ /pubmed/33670576 http://dx.doi.org/10.3390/jpm11020142 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Goldrich, David Y.
LaBarge, Brandon
Chartrand, Scott
Zhang, Lijun
Sadowski, Henry B.
Zhang, Yang
Pham, Khoa
Way, Hannah
Lai, Chi-Yu Jill
Pang, Andy Wing Chun
Clifford, Benjamin
Hastie, Alex R.
Oldakowski, Mark
Goldenberg, David
Broach, James R.
Identification of Somatic Structural Variants in Solid Tumors by Optical Genome Mapping
title Identification of Somatic Structural Variants in Solid Tumors by Optical Genome Mapping
title_full Identification of Somatic Structural Variants in Solid Tumors by Optical Genome Mapping
title_fullStr Identification of Somatic Structural Variants in Solid Tumors by Optical Genome Mapping
title_full_unstemmed Identification of Somatic Structural Variants in Solid Tumors by Optical Genome Mapping
title_short Identification of Somatic Structural Variants in Solid Tumors by Optical Genome Mapping
title_sort identification of somatic structural variants in solid tumors by optical genome mapping
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921992/
https://www.ncbi.nlm.nih.gov/pubmed/33670576
http://dx.doi.org/10.3390/jpm11020142
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