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Actionable pharmacogenetic variants in Hong Kong Chinese exome sequencing data and projected prescription impact in the Hong Kong population

Preemptive pharmacogenetic testing has the potential to improve drug dosing by providing point-of-care patient genotype information. Nonetheless, its implementation in the Chinese population is limited by the lack of population-wide data. In this study, secondary analysis of exome sequencing data wa...

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Autores principales: Yu, Mullin Ho Chung, Chan, Marcus Chun Yin, Chung, Claudia Ching Yan, Li, Andrew Wang Tat, Yip, Chara Yin Wa, Mak, Christopher Chun Yu, Chau, Jeffrey Fong Ting, Lee, Mianne, Fung, Jasmine Lee Fong, Tsang, Mandy Ho Yin, Chan, Joshua Chun Ki, Wong, Wilfred Hing Sang, Yang, Jing, Chui, William Chun Ming, Chung, Patrick Ho Yu, Yang, Wanling, Lee, So Lun, Chan, Godfrey Chi Fung, Tam, Paul Kwong Hang, Lau, Yu Lung, Tang, Clara Sze Man, Yeung, Kit San, Chung, Brian Hon Yin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7891783/
https://www.ncbi.nlm.nih.gov/pubmed/33600428
http://dx.doi.org/10.1371/journal.pgen.1009323
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author Yu, Mullin Ho Chung
Chan, Marcus Chun Yin
Chung, Claudia Ching Yan
Li, Andrew Wang Tat
Yip, Chara Yin Wa
Mak, Christopher Chun Yu
Chau, Jeffrey Fong Ting
Lee, Mianne
Fung, Jasmine Lee Fong
Tsang, Mandy Ho Yin
Chan, Joshua Chun Ki
Wong, Wilfred Hing Sang
Yang, Jing
Chui, William Chun Ming
Chung, Patrick Ho Yu
Yang, Wanling
Lee, So Lun
Chan, Godfrey Chi Fung
Tam, Paul Kwong Hang
Lau, Yu Lung
Tang, Clara Sze Man
Yeung, Kit San
Chung, Brian Hon Yin
author_facet Yu, Mullin Ho Chung
Chan, Marcus Chun Yin
Chung, Claudia Ching Yan
Li, Andrew Wang Tat
Yip, Chara Yin Wa
Mak, Christopher Chun Yu
Chau, Jeffrey Fong Ting
Lee, Mianne
Fung, Jasmine Lee Fong
Tsang, Mandy Ho Yin
Chan, Joshua Chun Ki
Wong, Wilfred Hing Sang
Yang, Jing
Chui, William Chun Ming
Chung, Patrick Ho Yu
Yang, Wanling
Lee, So Lun
Chan, Godfrey Chi Fung
Tam, Paul Kwong Hang
Lau, Yu Lung
Tang, Clara Sze Man
Yeung, Kit San
Chung, Brian Hon Yin
author_sort Yu, Mullin Ho Chung
collection PubMed
description Preemptive pharmacogenetic testing has the potential to improve drug dosing by providing point-of-care patient genotype information. Nonetheless, its implementation in the Chinese population is limited by the lack of population-wide data. In this study, secondary analysis of exome sequencing data was conducted to study pharmacogenomics in 1116 Hong Kong Chinese. We aimed to identify the spectrum of actionable pharmacogenetic variants and rare, predicted deleterious variants that are potentially actionable in Hong Kong Chinese, and to estimate the proportion of dispensed drugs that may potentially benefit from genotype-guided prescription. The projected preemptive pharmacogenetic testing prescription impact was evaluated based on the patient prescription data of the public healthcare system in 2019, serving 7.5 million people. Twenty-nine actionable pharmacogenetic variants/ alleles were identified in our cohort. Nearly all (99.6%) subjects carried at least one actionable pharmacogenetic variant, whereas 93.5% of subjects harbored at least one rare deleterious pharmacogenetic variant. Based on the prescription data in 2019, 13.4% of the Hong Kong population was prescribed with drugs with pharmacogenetic clinical practice guideline recommendations. The total expenditure on actionable drugs was 33,520,000 USD, and it was estimated that 8,219,000 USD (24.5%) worth of drugs were prescribed to patients with an implicated actionable phenotype. Secondary use of exome sequencing data for pharmacogenetic analysis is feasible, and preemptive pharmacogenetic testing has the potential to support prescription decisions in the Hong Kong Chinese population.
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spelling pubmed-78917832021-03-01 Actionable pharmacogenetic variants in Hong Kong Chinese exome sequencing data and projected prescription impact in the Hong Kong population Yu, Mullin Ho Chung Chan, Marcus Chun Yin Chung, Claudia Ching Yan Li, Andrew Wang Tat Yip, Chara Yin Wa Mak, Christopher Chun Yu Chau, Jeffrey Fong Ting Lee, Mianne Fung, Jasmine Lee Fong Tsang, Mandy Ho Yin Chan, Joshua Chun Ki Wong, Wilfred Hing Sang Yang, Jing Chui, William Chun Ming Chung, Patrick Ho Yu Yang, Wanling Lee, So Lun Chan, Godfrey Chi Fung Tam, Paul Kwong Hang Lau, Yu Lung Tang, Clara Sze Man Yeung, Kit San Chung, Brian Hon Yin PLoS Genet Research Article Preemptive pharmacogenetic testing has the potential to improve drug dosing by providing point-of-care patient genotype information. Nonetheless, its implementation in the Chinese population is limited by the lack of population-wide data. In this study, secondary analysis of exome sequencing data was conducted to study pharmacogenomics in 1116 Hong Kong Chinese. We aimed to identify the spectrum of actionable pharmacogenetic variants and rare, predicted deleterious variants that are potentially actionable in Hong Kong Chinese, and to estimate the proportion of dispensed drugs that may potentially benefit from genotype-guided prescription. The projected preemptive pharmacogenetic testing prescription impact was evaluated based on the patient prescription data of the public healthcare system in 2019, serving 7.5 million people. Twenty-nine actionable pharmacogenetic variants/ alleles were identified in our cohort. Nearly all (99.6%) subjects carried at least one actionable pharmacogenetic variant, whereas 93.5% of subjects harbored at least one rare deleterious pharmacogenetic variant. Based on the prescription data in 2019, 13.4% of the Hong Kong population was prescribed with drugs with pharmacogenetic clinical practice guideline recommendations. The total expenditure on actionable drugs was 33,520,000 USD, and it was estimated that 8,219,000 USD (24.5%) worth of drugs were prescribed to patients with an implicated actionable phenotype. Secondary use of exome sequencing data for pharmacogenetic analysis is feasible, and preemptive pharmacogenetic testing has the potential to support prescription decisions in the Hong Kong Chinese population. Public Library of Science 2021-02-18 /pmc/articles/PMC7891783/ /pubmed/33600428 http://dx.doi.org/10.1371/journal.pgen.1009323 Text en © 2021 Yu et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Yu, Mullin Ho Chung
Chan, Marcus Chun Yin
Chung, Claudia Ching Yan
Li, Andrew Wang Tat
Yip, Chara Yin Wa
Mak, Christopher Chun Yu
Chau, Jeffrey Fong Ting
Lee, Mianne
Fung, Jasmine Lee Fong
Tsang, Mandy Ho Yin
Chan, Joshua Chun Ki
Wong, Wilfred Hing Sang
Yang, Jing
Chui, William Chun Ming
Chung, Patrick Ho Yu
Yang, Wanling
Lee, So Lun
Chan, Godfrey Chi Fung
Tam, Paul Kwong Hang
Lau, Yu Lung
Tang, Clara Sze Man
Yeung, Kit San
Chung, Brian Hon Yin
Actionable pharmacogenetic variants in Hong Kong Chinese exome sequencing data and projected prescription impact in the Hong Kong population
title Actionable pharmacogenetic variants in Hong Kong Chinese exome sequencing data and projected prescription impact in the Hong Kong population
title_full Actionable pharmacogenetic variants in Hong Kong Chinese exome sequencing data and projected prescription impact in the Hong Kong population
title_fullStr Actionable pharmacogenetic variants in Hong Kong Chinese exome sequencing data and projected prescription impact in the Hong Kong population
title_full_unstemmed Actionable pharmacogenetic variants in Hong Kong Chinese exome sequencing data and projected prescription impact in the Hong Kong population
title_short Actionable pharmacogenetic variants in Hong Kong Chinese exome sequencing data and projected prescription impact in the Hong Kong population
title_sort actionable pharmacogenetic variants in hong kong chinese exome sequencing data and projected prescription impact in the hong kong population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7891783/
https://www.ncbi.nlm.nih.gov/pubmed/33600428
http://dx.doi.org/10.1371/journal.pgen.1009323
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