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Application of long-read sequencing to elucidate complex pharmacogenomic regions: a proof of principle

The use of pharmacogenomics in clinical practice is becoming standard of care. However, due to the complex genetic makeup of pharmacogenes, not all genetic variation is currently accounted for. Here, we show the utility of long-read sequencing to resolve complex pharmacogenes by analyzing a well-cha...

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Autores principales: van der Lee, Maaike, Rowell, William J., Menafra, Roberta, Guchelaar, Henk-Jan, Swen, Jesse J., Anvar, Seyed Yahya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8794781/
https://www.ncbi.nlm.nih.gov/pubmed/34741133
http://dx.doi.org/10.1038/s41397-021-00259-z
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author van der Lee, Maaike
Rowell, William J.
Menafra, Roberta
Guchelaar, Henk-Jan
Swen, Jesse J.
Anvar, Seyed Yahya
author_facet van der Lee, Maaike
Rowell, William J.
Menafra, Roberta
Guchelaar, Henk-Jan
Swen, Jesse J.
Anvar, Seyed Yahya
author_sort van der Lee, Maaike
collection PubMed
description The use of pharmacogenomics in clinical practice is becoming standard of care. However, due to the complex genetic makeup of pharmacogenes, not all genetic variation is currently accounted for. Here, we show the utility of long-read sequencing to resolve complex pharmacogenes by analyzing a well-characterised sample. This data consists of long reads that were processed to resolve phased haploblocks. 73% of pharmacogenes were fully covered in one phased haploblock, including 9/15 genes that are 100% complex. Variant calling accuracy in the pharmacogenes was high, with 99.8% recall and 100% precision for SNVs and 98.7% precision and 98.0% recall for Indels. For the majority of gene-drug interactions in the DPWG and CPIC guidelines, the associated genes could be fully resolved (62% and 63% respectively). Together, these findings suggest that long-read sequencing data offers promising opportunities in elucidating complex pharmacogenes and haplotype phasing while maintaining accurate variant calling.
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spelling pubmed-87947812022-02-07 Application of long-read sequencing to elucidate complex pharmacogenomic regions: a proof of principle van der Lee, Maaike Rowell, William J. Menafra, Roberta Guchelaar, Henk-Jan Swen, Jesse J. Anvar, Seyed Yahya Pharmacogenomics J Article The use of pharmacogenomics in clinical practice is becoming standard of care. However, due to the complex genetic makeup of pharmacogenes, not all genetic variation is currently accounted for. Here, we show the utility of long-read sequencing to resolve complex pharmacogenes by analyzing a well-characterised sample. This data consists of long reads that were processed to resolve phased haploblocks. 73% of pharmacogenes were fully covered in one phased haploblock, including 9/15 genes that are 100% complex. Variant calling accuracy in the pharmacogenes was high, with 99.8% recall and 100% precision for SNVs and 98.7% precision and 98.0% recall for Indels. For the majority of gene-drug interactions in the DPWG and CPIC guidelines, the associated genes could be fully resolved (62% and 63% respectively). Together, these findings suggest that long-read sequencing data offers promising opportunities in elucidating complex pharmacogenes and haplotype phasing while maintaining accurate variant calling. Nature Publishing Group UK 2021-11-05 2022 /pmc/articles/PMC8794781/ /pubmed/34741133 http://dx.doi.org/10.1038/s41397-021-00259-z Text en © The Author(s) 2021 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
van der Lee, Maaike
Rowell, William J.
Menafra, Roberta
Guchelaar, Henk-Jan
Swen, Jesse J.
Anvar, Seyed Yahya
Application of long-read sequencing to elucidate complex pharmacogenomic regions: a proof of principle
title Application of long-read sequencing to elucidate complex pharmacogenomic regions: a proof of principle
title_full Application of long-read sequencing to elucidate complex pharmacogenomic regions: a proof of principle
title_fullStr Application of long-read sequencing to elucidate complex pharmacogenomic regions: a proof of principle
title_full_unstemmed Application of long-read sequencing to elucidate complex pharmacogenomic regions: a proof of principle
title_short Application of long-read sequencing to elucidate complex pharmacogenomic regions: a proof of principle
title_sort application of long-read sequencing to elucidate complex pharmacogenomic regions: a proof of principle
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8794781/
https://www.ncbi.nlm.nih.gov/pubmed/34741133
http://dx.doi.org/10.1038/s41397-021-00259-z
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