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Novel Gene Polymorphisms for Stable Warfarin Dose in a Korean Population: Genome-Wide Association Study

Warfarin has a narrow therapeutic window and high intra- and inter-individual variability. Considering that many published papers on genotype-guided dosing are derived from European populations, the aim of this study was to investigate novel genetic variants associated with the variability of stable...

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Autores principales: Kim, Jung Sun, Lee, Sak, Yee, Jeong, Park, Kyemyung, Jang, Eun Jeong, Chang, Byung Chul, Gwak, Hye Sun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10452379/
https://www.ncbi.nlm.nih.gov/pubmed/37626805
http://dx.doi.org/10.3390/biomedicines11082308
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author Kim, Jung Sun
Lee, Sak
Yee, Jeong
Park, Kyemyung
Jang, Eun Jeong
Chang, Byung Chul
Gwak, Hye Sun
author_facet Kim, Jung Sun
Lee, Sak
Yee, Jeong
Park, Kyemyung
Jang, Eun Jeong
Chang, Byung Chul
Gwak, Hye Sun
author_sort Kim, Jung Sun
collection PubMed
description Warfarin has a narrow therapeutic window and high intra- and inter-individual variability. Considering that many published papers on genotype-guided dosing are derived from European populations, the aim of this study was to investigate novel genetic variants associated with the variability of stable warfarin dose in the Korean population with cardiac valve replacement, using the GWAS approach. This retrospective cohort study was performed from January 1982 to December 2020 at the Severance Cardiovascular Hospital of Yonsei University College of Medicine. GWAS was performed to identify associations between genotypes and the warfarin maintenance dose, by comparing the allele frequency of genetic variants between individuals. Then, the extent of genetic and non-genetic factors on the dose variability was determined by multivariable regression analysis. The study enrolled 214 participants, and the most robust signal cluster was detected on chromosome 16 around VKORC1. Followed by VKORC1, three novel variants (NKX2-6 rs310279, FRAS1 rs4386623, and FAM201A rs1890109) showed an association with stable warfarin dose requirement in univariate analysis. The algorithm was constructed by using multivariable analysis that includes genetic and non-genetic factors, and it could explain 58.5% of the variations in stable warfarin doses. In this variability, VKORC1 rs9934438 and FRAS1 rs4386623 accounted for 33.0% and 9.9%, respectively. This GWAS analysis identified the fact that three novel variants (NKX2-6 rs310279, FRAS1 rs4386623, and FAM201A rs1890109) were associated with stable warfarin doses. Additional research is necessary to validate the results and establish personalized treatment strategies for the Korean population.
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spelling pubmed-104523792023-08-26 Novel Gene Polymorphisms for Stable Warfarin Dose in a Korean Population: Genome-Wide Association Study Kim, Jung Sun Lee, Sak Yee, Jeong Park, Kyemyung Jang, Eun Jeong Chang, Byung Chul Gwak, Hye Sun Biomedicines Article Warfarin has a narrow therapeutic window and high intra- and inter-individual variability. Considering that many published papers on genotype-guided dosing are derived from European populations, the aim of this study was to investigate novel genetic variants associated with the variability of stable warfarin dose in the Korean population with cardiac valve replacement, using the GWAS approach. This retrospective cohort study was performed from January 1982 to December 2020 at the Severance Cardiovascular Hospital of Yonsei University College of Medicine. GWAS was performed to identify associations between genotypes and the warfarin maintenance dose, by comparing the allele frequency of genetic variants between individuals. Then, the extent of genetic and non-genetic factors on the dose variability was determined by multivariable regression analysis. The study enrolled 214 participants, and the most robust signal cluster was detected on chromosome 16 around VKORC1. Followed by VKORC1, three novel variants (NKX2-6 rs310279, FRAS1 rs4386623, and FAM201A rs1890109) showed an association with stable warfarin dose requirement in univariate analysis. The algorithm was constructed by using multivariable analysis that includes genetic and non-genetic factors, and it could explain 58.5% of the variations in stable warfarin doses. In this variability, VKORC1 rs9934438 and FRAS1 rs4386623 accounted for 33.0% and 9.9%, respectively. This GWAS analysis identified the fact that three novel variants (NKX2-6 rs310279, FRAS1 rs4386623, and FAM201A rs1890109) were associated with stable warfarin doses. Additional research is necessary to validate the results and establish personalized treatment strategies for the Korean population. MDPI 2023-08-19 /pmc/articles/PMC10452379/ /pubmed/37626805 http://dx.doi.org/10.3390/biomedicines11082308 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kim, Jung Sun
Lee, Sak
Yee, Jeong
Park, Kyemyung
Jang, Eun Jeong
Chang, Byung Chul
Gwak, Hye Sun
Novel Gene Polymorphisms for Stable Warfarin Dose in a Korean Population: Genome-Wide Association Study
title Novel Gene Polymorphisms for Stable Warfarin Dose in a Korean Population: Genome-Wide Association Study
title_full Novel Gene Polymorphisms for Stable Warfarin Dose in a Korean Population: Genome-Wide Association Study
title_fullStr Novel Gene Polymorphisms for Stable Warfarin Dose in a Korean Population: Genome-Wide Association Study
title_full_unstemmed Novel Gene Polymorphisms for Stable Warfarin Dose in a Korean Population: Genome-Wide Association Study
title_short Novel Gene Polymorphisms for Stable Warfarin Dose in a Korean Population: Genome-Wide Association Study
title_sort novel gene polymorphisms for stable warfarin dose in a korean population: genome-wide association study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10452379/
https://www.ncbi.nlm.nih.gov/pubmed/37626805
http://dx.doi.org/10.3390/biomedicines11082308
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