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Genomewide Association Studies in Pharmacogenomics

The increasing availability of genotype data linked with information about drug‐response phenotypes has enabled genomewide association studies (GWAS) that uncover genetic determinants of drug response. GWAS have discovered associations between genetic variants and both drug efficacy and adverse drug...

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Detalles Bibliográficos
Autores principales: McInnes, Gregory, Yee, Sook Wah, Pershad, Yash, Altman, Russ B.
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/PMC8376796/
https://www.ncbi.nlm.nih.gov/pubmed/34185318
http://dx.doi.org/10.1002/cpt.2349
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author McInnes, Gregory
Yee, Sook Wah
Pershad, Yash
Altman, Russ B.
author_facet McInnes, Gregory
Yee, Sook Wah
Pershad, Yash
Altman, Russ B.
author_sort McInnes, Gregory
collection PubMed
description The increasing availability of genotype data linked with information about drug‐response phenotypes has enabled genomewide association studies (GWAS) that uncover genetic determinants of drug response. GWAS have discovered associations between genetic variants and both drug efficacy and adverse drug reactions. Despite these successes, the design of GWAS in pharmacogenomics (PGx) faces unique challenges. In this review, we analyze the last decade of GWAS in PGx. We review trends in publications over time, including the drugs and drug classes studied and the clinical phenotypes used. Several data sharing consortia have contributed substantially to the PGx GWAS literature. We anticipate increased focus on biobanks and highlight phenotypes that would best enable future PGx discoveries.
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spelling pubmed-83767962021-09-27 Genomewide Association Studies in Pharmacogenomics McInnes, Gregory Yee, Sook Wah Pershad, Yash Altman, Russ B. Clin Pharmacol Ther Reviews The increasing availability of genotype data linked with information about drug‐response phenotypes has enabled genomewide association studies (GWAS) that uncover genetic determinants of drug response. GWAS have discovered associations between genetic variants and both drug efficacy and adverse drug reactions. Despite these successes, the design of GWAS in pharmacogenomics (PGx) faces unique challenges. In this review, we analyze the last decade of GWAS in PGx. We review trends in publications over time, including the drugs and drug classes studied and the clinical phenotypes used. Several data sharing consortia have contributed substantially to the PGx GWAS literature. We anticipate increased focus on biobanks and highlight phenotypes that would best enable future PGx discoveries. John Wiley and Sons Inc. 2021-07-18 2021-09 /pmc/articles/PMC8376796/ /pubmed/34185318 http://dx.doi.org/10.1002/cpt.2349 Text en © 2021 The Authors. Clinical Pharmacology & Therapeutics 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 Reviews
McInnes, Gregory
Yee, Sook Wah
Pershad, Yash
Altman, Russ B.
Genomewide Association Studies in Pharmacogenomics
title Genomewide Association Studies in Pharmacogenomics
title_full Genomewide Association Studies in Pharmacogenomics
title_fullStr Genomewide Association Studies in Pharmacogenomics
title_full_unstemmed Genomewide Association Studies in Pharmacogenomics
title_short Genomewide Association Studies in Pharmacogenomics
title_sort genomewide association studies in pharmacogenomics
topic Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8376796/
https://www.ncbi.nlm.nih.gov/pubmed/34185318
http://dx.doi.org/10.1002/cpt.2349
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