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Phasing of de novo mutations using a scaled‐up multiple amplicon long‐read sequencing approach

De novo mutations (DNMs) play an important role in severe genetic disorders that reduce fitness. To better understand their role in disease, it is important to determine the parent‐of‐origin and timing of mutational events that give rise to these mutations, especially in sex‐specific developmental d...

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Autores principales: Holt, Giles S., Batty, Lois E., Alobaidi, Bilal K. S., Smith, Hannah E., Oud, Manon S., Ramos, Liliana, Xavier, Miguel J., Veltman, Joris A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9826063/
https://www.ncbi.nlm.nih.gov/pubmed/36047340
http://dx.doi.org/10.1002/humu.24450
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author Holt, Giles S.
Batty, Lois E.
Alobaidi, Bilal K. S.
Smith, Hannah E.
Oud, Manon S.
Ramos, Liliana
Xavier, Miguel J.
Veltman, Joris A.
author_facet Holt, Giles S.
Batty, Lois E.
Alobaidi, Bilal K. S.
Smith, Hannah E.
Oud, Manon S.
Ramos, Liliana
Xavier, Miguel J.
Veltman, Joris A.
author_sort Holt, Giles S.
collection PubMed
description De novo mutations (DNMs) play an important role in severe genetic disorders that reduce fitness. To better understand their role in disease, it is important to determine the parent‐of‐origin and timing of mutational events that give rise to these mutations, especially in sex‐specific developmental disorders such as male infertility. However, currently available short‐read sequencing approaches are not ideally suited for phasing, as this requires long continuous DNA strands that span both the DNM and one or more informative single‐nucleotide polymorphisms. To overcome these challenges, we optimized and implemented a multiplexed long‐read sequencing approach using Oxford Nanopore technologies MinION platform. We focused on improving target amplification, integrating long‐read sequenced data with high‐quality short‐read sequence data, and developing an anchored phasing computational method. This approach handled the inherent phasing challenges of long‐range target amplification and the normal accumulation of sequencing error associated with long‐read sequencing. In total, 77 of 109 DNMs (71%) were successfully phased and parent‐of‐origin identified. The majority of phased DNMs were prezygotic (90%), the accuracy of which is highlighted by an average mutant allele frequency of 49.6% and standard error of 0.84%. This study demonstrates the benefits of employing an integrated short‐read and long‐read sequencing approach for large‐scale DNM phasing.
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spelling pubmed-98260632023-01-09 Phasing of de novo mutations using a scaled‐up multiple amplicon long‐read sequencing approach Holt, Giles S. Batty, Lois E. Alobaidi, Bilal K. S. Smith, Hannah E. Oud, Manon S. Ramos, Liliana Xavier, Miguel J. Veltman, Joris A. Hum Mutat Methods De novo mutations (DNMs) play an important role in severe genetic disorders that reduce fitness. To better understand their role in disease, it is important to determine the parent‐of‐origin and timing of mutational events that give rise to these mutations, especially in sex‐specific developmental disorders such as male infertility. However, currently available short‐read sequencing approaches are not ideally suited for phasing, as this requires long continuous DNA strands that span both the DNM and one or more informative single‐nucleotide polymorphisms. To overcome these challenges, we optimized and implemented a multiplexed long‐read sequencing approach using Oxford Nanopore technologies MinION platform. We focused on improving target amplification, integrating long‐read sequenced data with high‐quality short‐read sequence data, and developing an anchored phasing computational method. This approach handled the inherent phasing challenges of long‐range target amplification and the normal accumulation of sequencing error associated with long‐read sequencing. In total, 77 of 109 DNMs (71%) were successfully phased and parent‐of‐origin identified. The majority of phased DNMs were prezygotic (90%), the accuracy of which is highlighted by an average mutant allele frequency of 49.6% and standard error of 0.84%. This study demonstrates the benefits of employing an integrated short‐read and long‐read sequencing approach for large‐scale DNM phasing. John Wiley and Sons Inc. 2022-09-14 2022-11 /pmc/articles/PMC9826063/ /pubmed/36047340 http://dx.doi.org/10.1002/humu.24450 Text en © 2022 The Authors. Human Mutation published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methods
Holt, Giles S.
Batty, Lois E.
Alobaidi, Bilal K. S.
Smith, Hannah E.
Oud, Manon S.
Ramos, Liliana
Xavier, Miguel J.
Veltman, Joris A.
Phasing of de novo mutations using a scaled‐up multiple amplicon long‐read sequencing approach
title Phasing of de novo mutations using a scaled‐up multiple amplicon long‐read sequencing approach
title_full Phasing of de novo mutations using a scaled‐up multiple amplicon long‐read sequencing approach
title_fullStr Phasing of de novo mutations using a scaled‐up multiple amplicon long‐read sequencing approach
title_full_unstemmed Phasing of de novo mutations using a scaled‐up multiple amplicon long‐read sequencing approach
title_short Phasing of de novo mutations using a scaled‐up multiple amplicon long‐read sequencing approach
title_sort phasing of de novo mutations using a scaled‐up multiple amplicon long‐read sequencing approach
topic Methods
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9826063/
https://www.ncbi.nlm.nih.gov/pubmed/36047340
http://dx.doi.org/10.1002/humu.24450
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