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Genomewide association analysis of warfarin dose requirements in Middle Eastern and North African populations

To date, there has been no genomewide association study (GWAS) from the Middle East and North African (MENA) region to identify genetic variants associated with warfarin dose variability using this approach. In this study, we aimed to conduct the first GWAS of warfarin dose requirements in patients...

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Autores principales: El Rouby, Nihal, Shahin, Mohamed H., Bader, Loulia, Khalifa, Sherief I., Elewa, Hazem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8841446/
https://www.ncbi.nlm.nih.gov/pubmed/34729928
http://dx.doi.org/10.1111/cts.13176
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author El Rouby, Nihal
Shahin, Mohamed H.
Bader, Loulia
Khalifa, Sherief I.
Elewa, Hazem
author_facet El Rouby, Nihal
Shahin, Mohamed H.
Bader, Loulia
Khalifa, Sherief I.
Elewa, Hazem
author_sort El Rouby, Nihal
collection PubMed
description To date, there has been no genomewide association study (GWAS) from the Middle East and North African (MENA) region to identify genetic variants associated with warfarin dose variability using this approach. In this study, we aimed to conduct the first GWAS of warfarin dose requirements in patients from the MENA region. A total of 132 Qatari (discovery) and 50 Egyptians (replication) were genotyped using Illumina Multi‐Ethnic Global BeadChip Array. A GWAS was performed on log‐transformed weekly warfarin dose in the studied population, adjusting for clinical characteristics and ancestry. The genomewide signals from the discovery cohort were tested in the Egyptian cohort. A GWAS meta‐analysis, including the Qatari and Egyptian cohorts, was also performed and the output from this analysis was used in a gene‐based analysis. The discovery analysis in Qatari identified five genomewide single‐nucleotide polymorphisms (SNPs) in chromosome 16. These signals were replicated in the Egyptian cohort. Combining the two data through a GWAS meta‐analysis strengthened the association in chromosome 16 with VKORC1 rs9934438 being the lead genomewide signal (β = −0.17, 6 × 10(−15)). Other SNPs were identified in chromosome 10 at a p value less than 1 × 10(−5). The genetic variants within VKORC1 rs9934438 and CYP2C9 rs4086116 explained 39% and 27% of the variability in the weekly warfarin dose requirement in the Qatari and Egyptians, respectively. This is the first GWAS of warfarin dose variability in the MENA region. It confirms the importance of VKORC1 and CYP2C9 variants in warfarin dose variability among patients from the MENA region.
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spelling pubmed-88414462022-02-22 Genomewide association analysis of warfarin dose requirements in Middle Eastern and North African populations El Rouby, Nihal Shahin, Mohamed H. Bader, Loulia Khalifa, Sherief I. Elewa, Hazem Clin Transl Sci Research To date, there has been no genomewide association study (GWAS) from the Middle East and North African (MENA) region to identify genetic variants associated with warfarin dose variability using this approach. In this study, we aimed to conduct the first GWAS of warfarin dose requirements in patients from the MENA region. A total of 132 Qatari (discovery) and 50 Egyptians (replication) were genotyped using Illumina Multi‐Ethnic Global BeadChip Array. A GWAS was performed on log‐transformed weekly warfarin dose in the studied population, adjusting for clinical characteristics and ancestry. The genomewide signals from the discovery cohort were tested in the Egyptian cohort. A GWAS meta‐analysis, including the Qatari and Egyptian cohorts, was also performed and the output from this analysis was used in a gene‐based analysis. The discovery analysis in Qatari identified five genomewide single‐nucleotide polymorphisms (SNPs) in chromosome 16. These signals were replicated in the Egyptian cohort. Combining the two data through a GWAS meta‐analysis strengthened the association in chromosome 16 with VKORC1 rs9934438 being the lead genomewide signal (β = −0.17, 6 × 10(−15)). Other SNPs were identified in chromosome 10 at a p value less than 1 × 10(−5). The genetic variants within VKORC1 rs9934438 and CYP2C9 rs4086116 explained 39% and 27% of the variability in the weekly warfarin dose requirement in the Qatari and Egyptians, respectively. This is the first GWAS of warfarin dose variability in the MENA region. It confirms the importance of VKORC1 and CYP2C9 variants in warfarin dose variability among patients from the MENA region. John Wiley and Sons Inc. 2021-11-02 2022-02 /pmc/articles/PMC8841446/ /pubmed/34729928 http://dx.doi.org/10.1111/cts.13176 Text en © 2021 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
El Rouby, Nihal
Shahin, Mohamed H.
Bader, Loulia
Khalifa, Sherief I.
Elewa, Hazem
Genomewide association analysis of warfarin dose requirements in Middle Eastern and North African populations
title Genomewide association analysis of warfarin dose requirements in Middle Eastern and North African populations
title_full Genomewide association analysis of warfarin dose requirements in Middle Eastern and North African populations
title_fullStr Genomewide association analysis of warfarin dose requirements in Middle Eastern and North African populations
title_full_unstemmed Genomewide association analysis of warfarin dose requirements in Middle Eastern and North African populations
title_short Genomewide association analysis of warfarin dose requirements in Middle Eastern and North African populations
title_sort genomewide association analysis of warfarin dose requirements in middle eastern and north african populations
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8841446/
https://www.ncbi.nlm.nih.gov/pubmed/34729928
http://dx.doi.org/10.1111/cts.13176
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