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From Days to Hours: Reporting Clinically Actionable Variants from Whole Genome Sequencing
As the cost of whole genome sequencing (WGS) decreases, clinical laboratories will be looking at broadly adopting this technology to screen for variants of clinical significance. To fully leverage this technology in a clinical setting, results need to be reported quickly, as the turnaround rate coul...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914798/ https://www.ncbi.nlm.nih.gov/pubmed/24505267 http://dx.doi.org/10.1371/journal.pone.0086803 |
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author | Middha, Sumit Baheti, Saurabh Hart, Steven N. Kocher, Jean-Pierre A. |
author_facet | Middha, Sumit Baheti, Saurabh Hart, Steven N. Kocher, Jean-Pierre A. |
author_sort | Middha, Sumit |
collection | PubMed |
description | As the cost of whole genome sequencing (WGS) decreases, clinical laboratories will be looking at broadly adopting this technology to screen for variants of clinical significance. To fully leverage this technology in a clinical setting, results need to be reported quickly, as the turnaround rate could potentially impact patient care. The latest sequencers can sequence a whole human genome in about 24 hours. However, depending on the computing infrastructure available, the processing of data can take several days, with the majority of computing time devoted to aligning reads to genomics regions that are to date not clinically interpretable. In an attempt to accelerate the reporting of clinically actionable variants, we have investigated the utility of a multi-step alignment algorithm focused on aligning reads and calling variants in genomic regions of clinical relevance prior to processing the remaining reads on the whole genome. This iterative workflow significantly accelerates the reporting of clinically actionable variants with no loss of accuracy when compared to genotypes obtained with the OMNI SNP platform or to variants detected with a standard workflow that combines Novoalign and GATK. |
format | Online Article Text |
id | pubmed-3914798 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-39147982014-02-06 From Days to Hours: Reporting Clinically Actionable Variants from Whole Genome Sequencing Middha, Sumit Baheti, Saurabh Hart, Steven N. Kocher, Jean-Pierre A. PLoS One Research Article As the cost of whole genome sequencing (WGS) decreases, clinical laboratories will be looking at broadly adopting this technology to screen for variants of clinical significance. To fully leverage this technology in a clinical setting, results need to be reported quickly, as the turnaround rate could potentially impact patient care. The latest sequencers can sequence a whole human genome in about 24 hours. However, depending on the computing infrastructure available, the processing of data can take several days, with the majority of computing time devoted to aligning reads to genomics regions that are to date not clinically interpretable. In an attempt to accelerate the reporting of clinically actionable variants, we have investigated the utility of a multi-step alignment algorithm focused on aligning reads and calling variants in genomic regions of clinical relevance prior to processing the remaining reads on the whole genome. This iterative workflow significantly accelerates the reporting of clinically actionable variants with no loss of accuracy when compared to genotypes obtained with the OMNI SNP platform or to variants detected with a standard workflow that combines Novoalign and GATK. Public Library of Science 2014-02-05 /pmc/articles/PMC3914798/ /pubmed/24505267 http://dx.doi.org/10.1371/journal.pone.0086803 Text en © 2014 Middha et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Middha, Sumit Baheti, Saurabh Hart, Steven N. Kocher, Jean-Pierre A. From Days to Hours: Reporting Clinically Actionable Variants from Whole Genome Sequencing |
title | From Days to Hours: Reporting Clinically Actionable Variants from Whole Genome Sequencing |
title_full | From Days to Hours: Reporting Clinically Actionable Variants from Whole Genome Sequencing |
title_fullStr | From Days to Hours: Reporting Clinically Actionable Variants from Whole Genome Sequencing |
title_full_unstemmed | From Days to Hours: Reporting Clinically Actionable Variants from Whole Genome Sequencing |
title_short | From Days to Hours: Reporting Clinically Actionable Variants from Whole Genome Sequencing |
title_sort | from days to hours: reporting clinically actionable variants from whole genome sequencing |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914798/ https://www.ncbi.nlm.nih.gov/pubmed/24505267 http://dx.doi.org/10.1371/journal.pone.0086803 |
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