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Whole-genome long-read sequencing downsampling and its effect on variant calling precision and recall
Advances in long-read sequencing (LRS) technology continue to make whole-genome sequencing more complete, affordable, and accurate. LRS provides significant advantages over short-read sequencing approaches, including phased de novo genome assembly, access to previously excluded genomic regions, and...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187267/ https://www.ncbi.nlm.nih.gov/pubmed/37205567 http://dx.doi.org/10.1101/2023.05.04.539448 |
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author | Harvey, William T. Ebert, Peter Ebler, Jana Audano, Peter A. Munson, Katherine M. Hoekzema, Kendra Porubsky, David Beck, Christine R. Marschall, Tobias Garimella, Kiran Eichler, Evan E. |
author_facet | Harvey, William T. Ebert, Peter Ebler, Jana Audano, Peter A. Munson, Katherine M. Hoekzema, Kendra Porubsky, David Beck, Christine R. Marschall, Tobias Garimella, Kiran Eichler, Evan E. |
author_sort | Harvey, William T. |
collection | PubMed |
description | Advances in long-read sequencing (LRS) technology continue to make whole-genome sequencing more complete, affordable, and accurate. LRS provides significant advantages over short-read sequencing approaches, including phased de novo genome assembly, access to previously excluded genomic regions, and discovery of more complex structural variants (SVs) associated with disease. Limitations remain with respect to cost, scalability, and platform-dependent read accuracy and the tradeoffs between sequence coverage and sensitivity of variant discovery are important experimental considerations for the application of LRS. We compare the genetic variant calling precision and recall of Oxford Nanopore Technologies (ONT) and PacBio HiFi platforms over a range of sequence coverages. For read-based applications, LRS sensitivity begins to plateau around 12-fold coverage with a majority of variants called with reasonable accuracy (F1 score above 0.5), and both platforms perform well for SV detection. Genome assembly increases variant calling precision and recall of SVs and indels in HiFi datasets with HiFi outperforming ONT in quality as measured by the F1 score of assembly-based variant callsets. While both technologies continue to evolve, our work offers guidance to design cost-effective experimental strategies that do not compromise on discovering novel biology. |
format | Online Article Text |
id | pubmed-10187267 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-101872672023-05-17 Whole-genome long-read sequencing downsampling and its effect on variant calling precision and recall Harvey, William T. Ebert, Peter Ebler, Jana Audano, Peter A. Munson, Katherine M. Hoekzema, Kendra Porubsky, David Beck, Christine R. Marschall, Tobias Garimella, Kiran Eichler, Evan E. bioRxiv Article Advances in long-read sequencing (LRS) technology continue to make whole-genome sequencing more complete, affordable, and accurate. LRS provides significant advantages over short-read sequencing approaches, including phased de novo genome assembly, access to previously excluded genomic regions, and discovery of more complex structural variants (SVs) associated with disease. Limitations remain with respect to cost, scalability, and platform-dependent read accuracy and the tradeoffs between sequence coverage and sensitivity of variant discovery are important experimental considerations for the application of LRS. We compare the genetic variant calling precision and recall of Oxford Nanopore Technologies (ONT) and PacBio HiFi platforms over a range of sequence coverages. For read-based applications, LRS sensitivity begins to plateau around 12-fold coverage with a majority of variants called with reasonable accuracy (F1 score above 0.5), and both platforms perform well for SV detection. Genome assembly increases variant calling precision and recall of SVs and indels in HiFi datasets with HiFi outperforming ONT in quality as measured by the F1 score of assembly-based variant callsets. While both technologies continue to evolve, our work offers guidance to design cost-effective experimental strategies that do not compromise on discovering novel biology. Cold Spring Harbor Laboratory 2023-05-04 /pmc/articles/PMC10187267/ /pubmed/37205567 http://dx.doi.org/10.1101/2023.05.04.539448 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Harvey, William T. Ebert, Peter Ebler, Jana Audano, Peter A. Munson, Katherine M. Hoekzema, Kendra Porubsky, David Beck, Christine R. Marschall, Tobias Garimella, Kiran Eichler, Evan E. Whole-genome long-read sequencing downsampling and its effect on variant calling precision and recall |
title | Whole-genome long-read sequencing downsampling and its effect on variant calling precision and recall |
title_full | Whole-genome long-read sequencing downsampling and its effect on variant calling precision and recall |
title_fullStr | Whole-genome long-read sequencing downsampling and its effect on variant calling precision and recall |
title_full_unstemmed | Whole-genome long-read sequencing downsampling and its effect on variant calling precision and recall |
title_short | Whole-genome long-read sequencing downsampling and its effect on variant calling precision and recall |
title_sort | whole-genome long-read sequencing downsampling and its effect on variant calling precision and recall |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187267/ https://www.ncbi.nlm.nih.gov/pubmed/37205567 http://dx.doi.org/10.1101/2023.05.04.539448 |
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