Literature DB >> 20833655

Genome-wide association study identifies genetic determinants of warfarin responsiveness for Japanese.

Pei-Chieng Cha1, Taisei Mushiroda, Atsushi Takahashi, Michiaki Kubo, Shiro Minami, Naoyuki Kamatani, Yusuke Nakamura.   

Abstract

Warfarin is a commonly used anticoagulant, whose dose needs to be determined for each individual patient owing to large inter-individual variability in its therapeutic dose. Although several clinical and genetic variables influencing warfarin dose have been identified, uncovering additional factors are critically important for safer use of warfarin. Through a genome-wide association study, we identified single-nucleotide polymorphism (SNP) rs2108622 [cytochrome P450, family 4, subfamily F, polypeptide 2 (CYP4F2)] as a genetic determinant of warfarin responsiveness for Japanese. Stratifying subjects who have been pre-classified according to the genotypes of SNP rs10509680 [cytochrome P450, family 2, subfamily C, polypeptide 9 (CYP2C9)] and SNP rs9923231 [vitamin K epoxide reductase complex subunit 1 (VKORC1)], based on their genotypes of rs2108622 allowed identification of subjects who require higher dose of warfarin. Incorporating genotypes of rs2108622 into a warfarin dosing algorithm that considers age, body surface area, status of amiodarone co-administration and genotypes of SNPs in the CYP2C9 and VKORC1 genes improved the model's predictability to 43.4%. In this study, the association of CYP4F2 with warfarin dose of the Japanese has been established for the first time. Besides, a warfarin dosing algorithm that incorporates genotypes of rs2108622 and amiodarone co-administration status was suggested for the Japanese. Our study also implied that common SNPs other than those in the CYP2C9, VKORC1 and CYP4F2 genes that show strong effect on the therapeutic warfarin dose might not exist.

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Year:  2010        PMID: 20833655     DOI: 10.1093/hmg/ddq389

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  59 in total

1.  Effect of CYP4F2, VKORC1, and CYP2C9 in Influencing Coumarin Dose: A Single-Patient Data Meta-Analysis in More Than 15,000 Individuals.

Authors:  Elisa Danese; Sara Raimondi; Martina Montagnana; Angela Tagetti; Taimour Langaee; Paola Borgiani; Cinzia Ciccacci; Antonio J Carcas; Alberto M Borobia; Hoi Y Tong; Cristina Dávila-Fajardo; Mariana Rodrigues Botton; Stephane Bourgeois; Panos Deloukas; Michael D Caldwell; Jim K Burmester; Richard L Berg; Larisa H Cavallari; Katarzyna Drozda; Min Huang; Li-Zi Zhao; Han-Jing Cen; Rocio Gonzalez-Conejero; Vanessa Roldan; Yusuke Nakamura; Taisei Mushiroda; Inna Y Gong; Richard B Kim; Keita Hirai; Kunihiko Itoh; Carlos Isaza; Leonardo Beltrán; Enrique Jiménez-Varo; Marisa Cañadas-Garre; Alice Giontella; Marianne K Kringen; Kari Bente Foss Haug; Hye Sun Gwak; Kyung Eun Lee; Pietro Minuz; Ming Ta Michael Lee; Steven A Lubitz; Stuart Scott; Cristina Mazzaccara; Lucia Sacchetti; Ece Genç; Mahmut Özer; Anil Pathare; Rajagopal Krishnamoorthy; Andras Paldi; Virginie Siguret; Marie-Anne Loriot; Vijay Kumar Kutala; Guilherme Suarez-Kurtz; Jamila Perini; Josh C Denny; Andrea H Ramirez; Balraj Mittal; Saurabh Singh Rathore; Hersh Sagreiya; Russ Altman; Mohamed Hossam A Shahin; Sherief I Khalifa; Nita A Limdi; Charles Rivers; Aditi Shendre; Chrisly Dillon; Ivet M Suriapranata; Hong-Hao Zhou; Sheng-Lan Tan; Vacis Tatarunas; Vaiva Lesauskaite; Yumao Zhang; Anke H Maitland-van der Zee; Talitha I Verhoef; Anthonius de Boer; Monica Taljaard; Carlo Federico Zambon; Vittorio Pengo; Jieying Eunice Zhang; Munir Pirmohamed; Julie A Johnson; Cristiano Fava
Journal:  Clin Pharmacol Ther       Date:  2019-02-17       Impact factor: 6.875

Review 2.  Pharmacogenetics of warfarin: challenges and opportunities.

Authors:  Ming Ta Michael Lee; Teri E Klein
Journal:  J Hum Genet       Date:  2013-05-09       Impact factor: 3.172

Review 3.  The future of warfarin pharmacogenetics in under-represented minority groups.

Authors:  Larisa H Cavallari; Minoli A Perera
Journal:  Future Cardiol       Date:  2012-07

Review 4.  Clinical utility of pharmacogenetic biomarkers in cardiovascular therapeutics: a challenge for clinical implementation.

Authors:  Frank S Ong; Joshua L Deignan; Jane Z Kuo; Kenneth E Bernstein; Jerome I Rotter; Wayne W Grody; Kingshuk Das
Journal:  Pharmacogenomics       Date:  2012-03       Impact factor: 2.533

Review 5.  Personalized medicine: Genetic risk prediction of drug response.

Authors:  Ge Zhang; Daniel W Nebert
Journal:  Pharmacol Ther       Date:  2017-02-14       Impact factor: 12.310

6.  The pharmacoepigenomics informatics pipeline defines a pathway of novel and known warfarin pharmacogenomics variants.

Authors:  Ari Allyn-Feuer; Alex Ade; Jasmine A Luzum; Gerald A Higgins; Brian D Athey
Journal:  Pharmacogenomics       Date:  2018-02-05       Impact factor: 2.533

7.  Verification of pharmacogenomics-based algorithms to predict warfarin maintenance dose using registered data of Japanese patients.

Authors:  Maki Sasano; Masako Ohno; Yuya Fukuda; Shinpei Nonen; Sachiko Hirobe; Shinichiro Maeda; Yoshihiro Miwa; Junya Yokoyama; Hiroyuki Nakayama; Shigeru Miyagawa; Yoshiki Sawa; Yasushi Fujio; Makiko Maeda
Journal:  Eur J Clin Pharmacol       Date:  2019-03-09       Impact factor: 2.953

Review 8.  Effect of genetic variants, especially CYP2C9 and VKORC1, on the pharmacology of warfarin.

Authors:  Erik Fung; Nikolaos A Patsopoulos; Steven M Belknap; Daniel J O'Rourke; John F Robb; Jeffrey L Anderson; Nicholas W Shworak; Jason H Moore
Journal:  Semin Thromb Hemost       Date:  2012-10-06       Impact factor: 4.180

9.  Effect of NQO1 and CYP4F2 genotypes on warfarin dose requirements in Hispanic-Americans and African-Americans.

Authors:  Adam Bress; Shitalben R Patel; Minoli A Perera; Richard T Campbell; Rick A Kittles; Larisa H Cavallari
Journal:  Pharmacogenomics       Date:  2012-12       Impact factor: 2.533

Review 10.  Pharmacogenetics and cardiovascular disease--implications for personalized medicine.

Authors:  Julie A Johnson; Larisa H Cavallari
Journal:  Pharmacol Rev       Date:  2013-05-17       Impact factor: 25.468

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