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Accelerated identification of disease-causing variants with ultra-rapid nanopore genome sequencing

Whole-genome sequencing (WGS) can identify variants that cause genetic disease, but the time required for sequencing and analysis has been a barrier to its use in acutely ill patients. In the present study, we develop an approach for ultra-rapid nanopore WGS that combines an optimized sample prepara...

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Autores principales: Goenka, Sneha D., Gorzynski, John E., Shafin, Kishwar, Fisk, Dianna G., Pesout, Trevor, Jensen, Tanner D., Monlong, Jean, Chang, Pi-Chuan, Baid, Gunjan, Bernstein, Jonathan A., Christle, Jeffrey W., Dalton, Karen P., Garalde, Daniel R., Grove, Megan E., Guillory, Joseph, Kolesnikov, Alexey, Nattestad, Maria, Ruzhnikov, Maura R. Z., Samadi, Mehrzad, Sethia, Ankit, Spiteri, Elizabeth, Wright, Christopher J., Xiong, Katherine, Zhu, Tong, Jain, Miten, Sedlazeck, Fritz J., Carroll, Andrew, Paten, Benedict, Ashley, Euan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287171/
https://www.ncbi.nlm.nih.gov/pubmed/35347328
http://dx.doi.org/10.1038/s41587-022-01221-5
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author Goenka, Sneha D.
Gorzynski, John E.
Shafin, Kishwar
Fisk, Dianna G.
Pesout, Trevor
Jensen, Tanner D.
Monlong, Jean
Chang, Pi-Chuan
Baid, Gunjan
Bernstein, Jonathan A.
Christle, Jeffrey W.
Dalton, Karen P.
Garalde, Daniel R.
Grove, Megan E.
Guillory, Joseph
Kolesnikov, Alexey
Nattestad, Maria
Ruzhnikov, Maura R. Z.
Samadi, Mehrzad
Sethia, Ankit
Spiteri, Elizabeth
Wright, Christopher J.
Xiong, Katherine
Zhu, Tong
Jain, Miten
Sedlazeck, Fritz J.
Carroll, Andrew
Paten, Benedict
Ashley, Euan A.
author_facet Goenka, Sneha D.
Gorzynski, John E.
Shafin, Kishwar
Fisk, Dianna G.
Pesout, Trevor
Jensen, Tanner D.
Monlong, Jean
Chang, Pi-Chuan
Baid, Gunjan
Bernstein, Jonathan A.
Christle, Jeffrey W.
Dalton, Karen P.
Garalde, Daniel R.
Grove, Megan E.
Guillory, Joseph
Kolesnikov, Alexey
Nattestad, Maria
Ruzhnikov, Maura R. Z.
Samadi, Mehrzad
Sethia, Ankit
Spiteri, Elizabeth
Wright, Christopher J.
Xiong, Katherine
Zhu, Tong
Jain, Miten
Sedlazeck, Fritz J.
Carroll, Andrew
Paten, Benedict
Ashley, Euan A.
author_sort Goenka, Sneha D.
collection PubMed
description Whole-genome sequencing (WGS) can identify variants that cause genetic disease, but the time required for sequencing and analysis has been a barrier to its use in acutely ill patients. In the present study, we develop an approach for ultra-rapid nanopore WGS that combines an optimized sample preparation protocol, distributing sequencing over 48 flow cells, near real-time base calling and alignment, accelerated variant calling and fast variant filtration for efficient manual review. Application to two example clinical cases identified a candidate variant in <8 h from sample preparation to variant identification. We show that this framework provides accurate variant calls and efficient prioritization, and accelerates diagnostic clinical genome sequencing twofold compared with previous approaches.
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spelling pubmed-92871712022-07-17 Accelerated identification of disease-causing variants with ultra-rapid nanopore genome sequencing Goenka, Sneha D. Gorzynski, John E. Shafin, Kishwar Fisk, Dianna G. Pesout, Trevor Jensen, Tanner D. Monlong, Jean Chang, Pi-Chuan Baid, Gunjan Bernstein, Jonathan A. Christle, Jeffrey W. Dalton, Karen P. Garalde, Daniel R. Grove, Megan E. Guillory, Joseph Kolesnikov, Alexey Nattestad, Maria Ruzhnikov, Maura R. Z. Samadi, Mehrzad Sethia, Ankit Spiteri, Elizabeth Wright, Christopher J. Xiong, Katherine Zhu, Tong Jain, Miten Sedlazeck, Fritz J. Carroll, Andrew Paten, Benedict Ashley, Euan A. Nat Biotechnol Article Whole-genome sequencing (WGS) can identify variants that cause genetic disease, but the time required for sequencing and analysis has been a barrier to its use in acutely ill patients. In the present study, we develop an approach for ultra-rapid nanopore WGS that combines an optimized sample preparation protocol, distributing sequencing over 48 flow cells, near real-time base calling and alignment, accelerated variant calling and fast variant filtration for efficient manual review. Application to two example clinical cases identified a candidate variant in <8 h from sample preparation to variant identification. We show that this framework provides accurate variant calls and efficient prioritization, and accelerates diagnostic clinical genome sequencing twofold compared with previous approaches. Nature Publishing Group US 2022-03-28 2022 /pmc/articles/PMC9287171/ /pubmed/35347328 http://dx.doi.org/10.1038/s41587-022-01221-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Goenka, Sneha D.
Gorzynski, John E.
Shafin, Kishwar
Fisk, Dianna G.
Pesout, Trevor
Jensen, Tanner D.
Monlong, Jean
Chang, Pi-Chuan
Baid, Gunjan
Bernstein, Jonathan A.
Christle, Jeffrey W.
Dalton, Karen P.
Garalde, Daniel R.
Grove, Megan E.
Guillory, Joseph
Kolesnikov, Alexey
Nattestad, Maria
Ruzhnikov, Maura R. Z.
Samadi, Mehrzad
Sethia, Ankit
Spiteri, Elizabeth
Wright, Christopher J.
Xiong, Katherine
Zhu, Tong
Jain, Miten
Sedlazeck, Fritz J.
Carroll, Andrew
Paten, Benedict
Ashley, Euan A.
Accelerated identification of disease-causing variants with ultra-rapid nanopore genome sequencing
title Accelerated identification of disease-causing variants with ultra-rapid nanopore genome sequencing
title_full Accelerated identification of disease-causing variants with ultra-rapid nanopore genome sequencing
title_fullStr Accelerated identification of disease-causing variants with ultra-rapid nanopore genome sequencing
title_full_unstemmed Accelerated identification of disease-causing variants with ultra-rapid nanopore genome sequencing
title_short Accelerated identification of disease-causing variants with ultra-rapid nanopore genome sequencing
title_sort accelerated identification of disease-causing variants with ultra-rapid nanopore genome sequencing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287171/
https://www.ncbi.nlm.nih.gov/pubmed/35347328
http://dx.doi.org/10.1038/s41587-022-01221-5
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