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Variant‐based heritability assessment of dexmedetomidine and fentanyl clearance in pediatric patients

Despite complex pathways of drug disposition, clinical pharmacogenetic predictors currently rely on only a few high effect variants. Quantification of the polygenic contribution to variability in drug disposition is necessary to prioritize target drugs for pharmacogenomic approaches and guide analyt...

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Autores principales: Shannon, Morgan L., Muhammad, Ayesha, James, Nathan T., Williams, Michael L., Breeyear, Joseph, Edwards, Todd, Mosley, Jonathan D., Choi, Leena, Kannankeril, Prince, Van Driest, Sara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499425/
https://www.ncbi.nlm.nih.gov/pubmed/37353859
http://dx.doi.org/10.1111/cts.13574
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author Shannon, Morgan L.
Muhammad, Ayesha
James, Nathan T.
Williams, Michael L.
Breeyear, Joseph
Edwards, Todd
Mosley, Jonathan D.
Choi, Leena
Kannankeril, Prince
Van Driest, Sara
author_facet Shannon, Morgan L.
Muhammad, Ayesha
James, Nathan T.
Williams, Michael L.
Breeyear, Joseph
Edwards, Todd
Mosley, Jonathan D.
Choi, Leena
Kannankeril, Prince
Van Driest, Sara
author_sort Shannon, Morgan L.
collection PubMed
description Despite complex pathways of drug disposition, clinical pharmacogenetic predictors currently rely on only a few high effect variants. Quantification of the polygenic contribution to variability in drug disposition is necessary to prioritize target drugs for pharmacogenomic approaches and guide analytic methods. Dexmedetomidine and fentanyl, often used in postoperative care of pediatric patients, have high rates of inter‐individual variability in dosing requirements. Analyzing previously generated population pharmacokinetic parameters, we used Bayesian hierarchical mixed modeling to measure narrow‐sense (additive) heritability ([Formula: see text]) of dexmedetomidine and fentanyl clearance in children and identify relative contributions of small, moderate, and large effect‐size variants to [Formula: see text]. We used genome‐wide association studies (GWAS) to identify variants contributing to variation in dexmedetomidine and fentanyl clearance, followed by functional analyses to identify associated pathways. For dexmedetomidine, median clearance was 33.0 L/h (interquartile range [IQR] 23.8–47.9 L/h) and [Formula: see text] was estimated to be 0.35 (90% credible interval 0.00–0.90), with 45% of [Formula: see text] attributed to large‐, 32% to moderate‐, and 23% to small‐effect variants. The fentanyl cohort had median clearance of 8.2 L/h (IQR 4.7–16.7 L/h), with estimated [Formula: see text] of 0.30 (90% credible interval 0.00–0.84). Large‐effect variants accounted for 30% of [Formula: see text] , whereas moderate‐ and small‐effect variants accounted for 37% and 33%, respectively. As expected, given small sample sizes, no individual variants or pathways were significantly associated with dexmedetomidine or fentanyl clearance by GWAS. We conclude that clearance of both drugs is highly polygenic, motivating the future use of polygenic risk scores to guide appropriate dosing of dexmedetomidine and fentanyl.
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spelling pubmed-104994252023-09-14 Variant‐based heritability assessment of dexmedetomidine and fentanyl clearance in pediatric patients Shannon, Morgan L. Muhammad, Ayesha James, Nathan T. Williams, Michael L. Breeyear, Joseph Edwards, Todd Mosley, Jonathan D. Choi, Leena Kannankeril, Prince Van Driest, Sara Clin Transl Sci Research Despite complex pathways of drug disposition, clinical pharmacogenetic predictors currently rely on only a few high effect variants. Quantification of the polygenic contribution to variability in drug disposition is necessary to prioritize target drugs for pharmacogenomic approaches and guide analytic methods. Dexmedetomidine and fentanyl, often used in postoperative care of pediatric patients, have high rates of inter‐individual variability in dosing requirements. Analyzing previously generated population pharmacokinetic parameters, we used Bayesian hierarchical mixed modeling to measure narrow‐sense (additive) heritability ([Formula: see text]) of dexmedetomidine and fentanyl clearance in children and identify relative contributions of small, moderate, and large effect‐size variants to [Formula: see text]. We used genome‐wide association studies (GWAS) to identify variants contributing to variation in dexmedetomidine and fentanyl clearance, followed by functional analyses to identify associated pathways. For dexmedetomidine, median clearance was 33.0 L/h (interquartile range [IQR] 23.8–47.9 L/h) and [Formula: see text] was estimated to be 0.35 (90% credible interval 0.00–0.90), with 45% of [Formula: see text] attributed to large‐, 32% to moderate‐, and 23% to small‐effect variants. The fentanyl cohort had median clearance of 8.2 L/h (IQR 4.7–16.7 L/h), with estimated [Formula: see text] of 0.30 (90% credible interval 0.00–0.84). Large‐effect variants accounted for 30% of [Formula: see text] , whereas moderate‐ and small‐effect variants accounted for 37% and 33%, respectively. As expected, given small sample sizes, no individual variants or pathways were significantly associated with dexmedetomidine or fentanyl clearance by GWAS. We conclude that clearance of both drugs is highly polygenic, motivating the future use of polygenic risk scores to guide appropriate dosing of dexmedetomidine and fentanyl. John Wiley and Sons Inc. 2023-06-26 /pmc/articles/PMC10499425/ /pubmed/37353859 http://dx.doi.org/10.1111/cts.13574 Text en © 2023 The Authors. Clinical and Translational Science published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research
Shannon, Morgan L.
Muhammad, Ayesha
James, Nathan T.
Williams, Michael L.
Breeyear, Joseph
Edwards, Todd
Mosley, Jonathan D.
Choi, Leena
Kannankeril, Prince
Van Driest, Sara
Variant‐based heritability assessment of dexmedetomidine and fentanyl clearance in pediatric patients
title Variant‐based heritability assessment of dexmedetomidine and fentanyl clearance in pediatric patients
title_full Variant‐based heritability assessment of dexmedetomidine and fentanyl clearance in pediatric patients
title_fullStr Variant‐based heritability assessment of dexmedetomidine and fentanyl clearance in pediatric patients
title_full_unstemmed Variant‐based heritability assessment of dexmedetomidine and fentanyl clearance in pediatric patients
title_short Variant‐based heritability assessment of dexmedetomidine and fentanyl clearance in pediatric patients
title_sort variant‐based heritability assessment of dexmedetomidine and fentanyl clearance in pediatric patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499425/
https://www.ncbi.nlm.nih.gov/pubmed/37353859
http://dx.doi.org/10.1111/cts.13574
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