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Quantitative detection of low-abundance somatic structural variants in normal cells by high throughput sequencing

The detection and quantification of low-abundance somatic DNA mutations by high throughput sequencing is challenging because of the difficulty in distinguishing errors from true mutations. While there are several approaches available for analyzing somatic point mutations and small indels, an accurat...

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Autores principales: Quispe-Tintaya, Wilber, Gorbacheva, Tatyana, Lee, Moonsook, Makhortov, Sergei, Popov, Vasily N., Vijg, Jan, Maslov, Alexander Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4927357/
https://www.ncbi.nlm.nih.gov/pubmed/27271197
http://dx.doi.org/10.1038/nmeth.3893
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author Quispe-Tintaya, Wilber
Gorbacheva, Tatyana
Lee, Moonsook
Makhortov, Sergei
Popov, Vasily N.
Vijg, Jan
Maslov, Alexander Y.
author_facet Quispe-Tintaya, Wilber
Gorbacheva, Tatyana
Lee, Moonsook
Makhortov, Sergei
Popov, Vasily N.
Vijg, Jan
Maslov, Alexander Y.
author_sort Quispe-Tintaya, Wilber
collection PubMed
description The detection and quantification of low-abundance somatic DNA mutations by high throughput sequencing is challenging because of the difficulty in distinguishing errors from true mutations. While there are several approaches available for analyzing somatic point mutations and small indels, an accurate genome-wide assessment of somatic structural variants (somSVs) in bulk DNA is still not possible. Here we present Structural Variant Search (SVS), a method to accurately detect rare somSVs by low-coverage sequencing. We demonstrate direct quantitative assessment of elevated somSV frequencies induced by known clastogenic compounds in human primary cells.
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spelling pubmed-49273572016-12-06 Quantitative detection of low-abundance somatic structural variants in normal cells by high throughput sequencing Quispe-Tintaya, Wilber Gorbacheva, Tatyana Lee, Moonsook Makhortov, Sergei Popov, Vasily N. Vijg, Jan Maslov, Alexander Y. Nat Methods Article The detection and quantification of low-abundance somatic DNA mutations by high throughput sequencing is challenging because of the difficulty in distinguishing errors from true mutations. While there are several approaches available for analyzing somatic point mutations and small indels, an accurate genome-wide assessment of somatic structural variants (somSVs) in bulk DNA is still not possible. Here we present Structural Variant Search (SVS), a method to accurately detect rare somSVs by low-coverage sequencing. We demonstrate direct quantitative assessment of elevated somSV frequencies induced by known clastogenic compounds in human primary cells. 2016-06-06 2016-07 /pmc/articles/PMC4927357/ /pubmed/27271197 http://dx.doi.org/10.1038/nmeth.3893 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Quispe-Tintaya, Wilber
Gorbacheva, Tatyana
Lee, Moonsook
Makhortov, Sergei
Popov, Vasily N.
Vijg, Jan
Maslov, Alexander Y.
Quantitative detection of low-abundance somatic structural variants in normal cells by high throughput sequencing
title Quantitative detection of low-abundance somatic structural variants in normal cells by high throughput sequencing
title_full Quantitative detection of low-abundance somatic structural variants in normal cells by high throughput sequencing
title_fullStr Quantitative detection of low-abundance somatic structural variants in normal cells by high throughput sequencing
title_full_unstemmed Quantitative detection of low-abundance somatic structural variants in normal cells by high throughput sequencing
title_short Quantitative detection of low-abundance somatic structural variants in normal cells by high throughput sequencing
title_sort quantitative detection of low-abundance somatic structural variants in normal cells by high throughput sequencing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4927357/
https://www.ncbi.nlm.nih.gov/pubmed/27271197
http://dx.doi.org/10.1038/nmeth.3893
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