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Pharmacogenetic profiling via genome sequencing in children with medical complexity
BACKGROUND: Children with medical complexity (CMC) are a priority pediatric population, with high resource use and associated costs. Genome-wide sequencing is increasingly organized for CMC early in life as a diagnostic test. Polypharmacy becomes common as CMC age. Clinically relevant pharmacogeneti...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10033400/ https://www.ncbi.nlm.nih.gov/pubmed/36167815 http://dx.doi.org/10.1038/s41390-022-02313-3 |
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author | Pan, Amy Scodellaro, Sierra Khan, Tayyaba Ushcatz, Inna Wu, Wendy Curtis, Meredith Cohen, Eyal Cohn, Ronald D. Hayeems, Robin Z. Meyn, M. Stephen Orkin, Julia Otal, Jaskiran Reuter, Miriam S. Walker, Susan Scherer, Stephen W. Marshall, Christian R. Cohn, Iris Costain, Gregory |
author_facet | Pan, Amy Scodellaro, Sierra Khan, Tayyaba Ushcatz, Inna Wu, Wendy Curtis, Meredith Cohen, Eyal Cohn, Ronald D. Hayeems, Robin Z. Meyn, M. Stephen Orkin, Julia Otal, Jaskiran Reuter, Miriam S. Walker, Susan Scherer, Stephen W. Marshall, Christian R. Cohn, Iris Costain, Gregory |
author_sort | Pan, Amy |
collection | PubMed |
description | BACKGROUND: Children with medical complexity (CMC) are a priority pediatric population, with high resource use and associated costs. Genome-wide sequencing is increasingly organized for CMC early in life as a diagnostic test. Polypharmacy becomes common as CMC age. Clinically relevant pharmacogenetic (PGx) information can be extracted from existing genome sequencing (GS) data via GS-PGx profiling. The role of GS-PGx profiling in the CMC population is unclear. METHODS: Prescribed medications were extracted from care plans of 802 eligible CMC enrolled in a structured Complex Care Program over a 10-year period. Drug-gene associations were annotated using curated Clinical Pharmacogenetics Implementation Consortium data. GS-PGx profiling was then performed for a subset of 50 CMC. RESULTS: Overall, 546 CMC (68%) were prescribed at least one medication with an established PGx association. In the GS-PGx subgroup, 24 (48%) carried variants in pharmacogenes with drug-gene guidelines for one or more of their current medications. All had findings of potential relevance to some medications, including 32 (64%) with variants in CYP2C19 that could affect their metabolism of proton-pump inhibitors. CONCLUSION: GS-PGx profiling at the time of diagnostics-focused genetic testing could be an efficient way to incorporate precision prescribing practices into the lifelong care of CMC. IMPACT: Polypharmacy and genetic test utilization are both common in children with medical complexity. The role of repurposing genome sequencing data for pharmacogenetic profiling in children with medical complexity was previously unclear. We identified a high rate of medication use with clinically relevant drug-gene associations in this priority pediatric population and demonstrated that relevant pharmacogenetic information can be extracted from their existing genome sequencing data. Pharmacogenetic profiling at the time of diagnostics-focused genetic testing could be an efficient way to incorporate precision prescribing practices into the lifelong care of children with medical complexity. |
format | Online Article Text |
id | pubmed-10033400 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-100334002023-03-24 Pharmacogenetic profiling via genome sequencing in children with medical complexity Pan, Amy Scodellaro, Sierra Khan, Tayyaba Ushcatz, Inna Wu, Wendy Curtis, Meredith Cohen, Eyal Cohn, Ronald D. Hayeems, Robin Z. Meyn, M. Stephen Orkin, Julia Otal, Jaskiran Reuter, Miriam S. Walker, Susan Scherer, Stephen W. Marshall, Christian R. Cohn, Iris Costain, Gregory Pediatr Res Clinical Research Article BACKGROUND: Children with medical complexity (CMC) are a priority pediatric population, with high resource use and associated costs. Genome-wide sequencing is increasingly organized for CMC early in life as a diagnostic test. Polypharmacy becomes common as CMC age. Clinically relevant pharmacogenetic (PGx) information can be extracted from existing genome sequencing (GS) data via GS-PGx profiling. The role of GS-PGx profiling in the CMC population is unclear. METHODS: Prescribed medications were extracted from care plans of 802 eligible CMC enrolled in a structured Complex Care Program over a 10-year period. Drug-gene associations were annotated using curated Clinical Pharmacogenetics Implementation Consortium data. GS-PGx profiling was then performed for a subset of 50 CMC. RESULTS: Overall, 546 CMC (68%) were prescribed at least one medication with an established PGx association. In the GS-PGx subgroup, 24 (48%) carried variants in pharmacogenes with drug-gene guidelines for one or more of their current medications. All had findings of potential relevance to some medications, including 32 (64%) with variants in CYP2C19 that could affect their metabolism of proton-pump inhibitors. CONCLUSION: GS-PGx profiling at the time of diagnostics-focused genetic testing could be an efficient way to incorporate precision prescribing practices into the lifelong care of CMC. IMPACT: Polypharmacy and genetic test utilization are both common in children with medical complexity. The role of repurposing genome sequencing data for pharmacogenetic profiling in children with medical complexity was previously unclear. We identified a high rate of medication use with clinically relevant drug-gene associations in this priority pediatric population and demonstrated that relevant pharmacogenetic information can be extracted from their existing genome sequencing data. Pharmacogenetic profiling at the time of diagnostics-focused genetic testing could be an efficient way to incorporate precision prescribing practices into the lifelong care of children with medical complexity. Nature Publishing Group US 2022-09-27 2023 /pmc/articles/PMC10033400/ /pubmed/36167815 http://dx.doi.org/10.1038/s41390-022-02313-3 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 | Clinical Research Article Pan, Amy Scodellaro, Sierra Khan, Tayyaba Ushcatz, Inna Wu, Wendy Curtis, Meredith Cohen, Eyal Cohn, Ronald D. Hayeems, Robin Z. Meyn, M. Stephen Orkin, Julia Otal, Jaskiran Reuter, Miriam S. Walker, Susan Scherer, Stephen W. Marshall, Christian R. Cohn, Iris Costain, Gregory Pharmacogenetic profiling via genome sequencing in children with medical complexity |
title | Pharmacogenetic profiling via genome sequencing in children with medical complexity |
title_full | Pharmacogenetic profiling via genome sequencing in children with medical complexity |
title_fullStr | Pharmacogenetic profiling via genome sequencing in children with medical complexity |
title_full_unstemmed | Pharmacogenetic profiling via genome sequencing in children with medical complexity |
title_short | Pharmacogenetic profiling via genome sequencing in children with medical complexity |
title_sort | pharmacogenetic profiling via genome sequencing in children with medical complexity |
topic | Clinical Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10033400/ https://www.ncbi.nlm.nih.gov/pubmed/36167815 http://dx.doi.org/10.1038/s41390-022-02313-3 |
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