Literature DB >> 33600428

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

Mullin Ho Chung Yu1, Marcus Chun Yin Chan1, Claudia Ching Yan Chung1, Andrew Wang Tat Li2, Chara Yin Wa Yip2, Christopher Chun Yu Mak1, Jeffrey Fong Ting Chau1, Mianne Lee1, Jasmine Lee Fong Fung1, Mandy Ho Yin Tsang1, Joshua Chun Ki Chan1, Wilfred Hing Sang Wong1, Jing Yang1, William Chun Ming Chui2, Patrick Ho Yu Chung3, Wanling Yang1, So Lun Lee4,5, Godfrey Chi Fung Chan1,5,6, Paul Kwong Hang Tam3,7, Yu Lung Lau1,5,6, Clara Sze Man Tang3,7, Kit San Yeung1, Brian Hon Yin Chung1,4,5,6.   

Abstract

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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Year:  2021        PMID: 33600428      PMCID: PMC7891783          DOI: 10.1371/journal.pgen.1009323

Source DB:  PubMed          Journal:  PLoS Genet        ISSN: 1553-7390            Impact factor:   5.917


  31 in total

1.  CPIC: Clinical Pharmacogenetics Implementation Consortium of the Pharmacogenomics Research Network.

Authors:  M V Relling; T E Klein
Journal:  Clin Pharmacol Ther       Date:  2011-01-26       Impact factor: 6.875

2.  NUDT15 polymorphisms alter thiopurine metabolism and hematopoietic toxicity.

Authors:  Takaya Moriyama; Rina Nishii; Virginia Perez-Andreu; Wenjian Yang; Federico Antillon Klussmann; Xujie Zhao; Ting-Nien Lin; Keito Hoshitsuki; Jacob Nersting; Kentaro Kihira; Ute Hofmann; Yoshihiro Komada; Motohiro Kato; Robert McCorkle; Lie Li; Katsuyoshi Koh; Cesar Rolando Najera; Shirley Kow-Yin Kham; Tomoya Isobe; Zhiwei Chen; Edwynn Kean-Hui Chiew; Deepa Bhojwani; Cynthia Jeffries; Yan Lu; Matthias Schwab; Hiroto Inaba; Ching-Hon Pui; Mary V Relling; Atsushi Manabe; Hiroki Hori; Kjeld Schmiegelow; Allen E J Yeoh; William E Evans; Jun J Yang
Journal:  Nat Genet       Date:  2016-02-15       Impact factor: 38.330

3.  HLA common and well-documented alleles in China.

Authors:  Y He; J Li; W Mao; D Zhang; M Liu; X Shan; B Zhang; C Zhu; J Shen; Z Deng; Z Wang; W Yu; Q Chen; W Guo; P Su; R Lv; G Li; G Li; B Pei; L Jiao; G Shen; Y Liu; Z Feng; Y Su; Y Xie; W Di; X Liu; X Yang; J Wang; J Qi; Q Liu; Y Han; J He; J Cai; Z Zhang; F Zhu; D Du
Journal:  HLA       Date:  2018-10       Impact factor: 4.513

Review 4.  Thiopurine S-methyltransferase (TPMT) assessment prior to starting thiopurine drug treatment; a pharmacogenomic test whose time has come.

Authors:  L T Ford; J D Berg
Journal:  J Clin Pathol       Date:  2010-04       Impact factor: 3.411

Review 5.  UGT1A1*6 polymorphisms are correlated with irinotecan-induced neutropenia: a systematic review and meta-analysis.

Authors:  Xue Zhang; Jia-Fu Yin; Jiao Zhang; Shu-Jia Kong; Hong-Yin Zhang; Xue-Mei Chen
Journal:  Cancer Chemother Pharmacol       Date:  2017-06-05       Impact factor: 3.333

6.  Evaluation of clinical impact of pharmacogenomics knowledge involved in CPIC guidelines on Chinese pediatric patients.

Authors:  Weifeng Qin; Zhenglin Du; Jingfa Xiao; Huilong Duan; Qiang Shu; Haomin Li
Journal:  Pharmacogenomics       Date:  2020-02       Impact factor: 2.533

7.  Projected Prevalence of Actionable Pharmacogenetic Variants and Level A Drugs Prescribed Among US Veterans Health Administration Pharmacy Users.

Authors:  Catherine Chanfreau-Coffinier; Leland E Hull; Julie A Lynch; Scott L DuVall; Scott M Damrauer; Francesca E Cunningham; Benjamin F Voight; Michael E Matheny; David W Oslin; Michael S Icardi; Sony Tuteja
Journal:  JAMA Netw Open       Date:  2019-06-05

Review 8.  The Evolution of PharmVar.

Authors:  Andrea Gaedigk; Katrin Sangkuhl; Michelle Whirl-Carrillo; Greyson P Twist; Teri E Klein; Neil A Miller
Journal:  Clin Pharmacol Ther       Date:  2018-12-07       Impact factor: 6.875

Review 9.  PharmGKB: A worldwide resource for pharmacogenomic information.

Authors:  Julia M Barbarino; Michelle Whirl-Carrillo; Russ B Altman; Teri E Klein
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2018-02-23

10.  CADD: predicting the deleteriousness of variants throughout the human genome.

Authors:  Philipp Rentzsch; Daniela Witten; Gregory M Cooper; Jay Shendure; Martin Kircher
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

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  3 in total

1.  Clinical pharmacogenetic analysis in 5,001 individuals with diagnostic Exome Sequencing data.

Authors:  Javier Lanillos; Marta Carcajona; Paolo Maietta; Sara Alvarez; Cristina Rodriguez-Antona
Journal:  NPJ Genom Med       Date:  2022-02-18       Impact factor: 8.617

2.  HKG: an open genetic variant database of 205 Hong Kong cantonese exomes.

Authors:  Min Ou; Henry Chi-Ming Leung; Amy Wing-Sze Leung; Ho-Ming Luk; Bin Yan; Chi-Man Liu; Tony Ming-For Tong; Myth Tsz-Shun Mok; Wallace Ming-Yuen Ko; Wai-Chun Law; Tak-Wah Lam; Ivan Fai-Man Lo; Ruibang Luo
Journal:  NAR Genom Bioinform       Date:  2022-02-08

3.  Comprehensive analysis of recessive carrier status using exome and genome sequencing data in 1543 Southern Chinese.

Authors:  Jeffrey Fong Ting Chau; Mullin Ho Chung Yu; Martin Man Chun Chui; Cyrus Chun Wing Yeung; Aaron Wing Cheung Kwok; Xuehan Zhuang; Ryan Lee; Jasmine Lee Fong Fung; Mianne Lee; Christopher Chun Yu Mak; Nicole Ying Ting Ng; Claudia Ching Yan Chung; Marcus Chun Yin Chan; Mandy Ho Yin Tsang; Joshua Chun Ki Chan; Kelvin Yuen Kwong Chan; Anita Sik Yau Kan; Patrick Ho Yu Chung; Wanling Yang; So Lun Lee; Godfrey Chi Fung Chan; Paul Kwong Hang Tam; Yu Lung Lau; Kit San Yeung; Brian Hon Yin Chung; Clara Sze Man Tang
Journal:  NPJ Genom Med       Date:  2022-03-21       Impact factor: 8.617

  3 in total

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