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Pharmacogenomics of GPCR Drug Targets.
Hauser, Alexander S; Chavali, Sreenivas; Masuho, Ikuo; Jahn, Leonie J; Martemyanov, Kirill A; Gloriam, David E; Babu, M Madan.
Afiliación
  • Hauser AS; MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, UK; Department of Drug Design and Pharmacology, University of Copenhagen, Universitetsparken 2, 2100 Copenhagen, Denmark. Electronic address: alexander.hauser@sund.ku.dk.
  • Chavali S; MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, UK.
  • Masuho I; Department of Neuroscience, The Scripps Research Institute Florida, Jupiter, FL 33458, USA.
  • Jahn LJ; The Novo Nordisk Foundation Center for Biosustainability, Technical University Denmark, Kemitorvet 2800 Kgs. Lyngby, Denmark.
  • Martemyanov KA; Department of Neuroscience, The Scripps Research Institute Florida, Jupiter, FL 33458, USA.
  • Gloriam DE; Department of Drug Design and Pharmacology, University of Copenhagen, Universitetsparken 2, 2100 Copenhagen, Denmark.
  • Babu MM; MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, UK. Electronic address: madanm@mrc-lmb.cam.ac.uk.
Cell ; 172(1-2): 41-54.e19, 2018 01 11.
Article en En | MEDLINE | ID: mdl-29249361
ABSTRACT
Natural genetic variation in the human genome is a cause of individual differences in responses to medications and is an underappreciated burden on public health. Although 108 G-protein-coupled receptors (GPCRs) are the targets of 475 (∼34%) Food and Drug Administration (FDA)-approved drugs and account for a global sales volume of over 180 billion US dollars annually, the prevalence of genetic variation among GPCRs targeted by drugs is unknown. By analyzing data from 68,496 individuals, we find that GPCRs targeted by drugs show genetic variation within functional regions such as drug- and effector-binding sites in the human population. We experimentally show that certain variants of µ-opioid and Cholecystokinin-A receptors could lead to altered or adverse drug response. By analyzing UK National Health Service drug prescription and sales data, we suggest that characterizing GPCR variants could increase prescription precision, improving patients' quality of life, and relieve the economic and societal burden due to variable drug responsiveness. VIDEO ABSTRACT.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Farmacogenética / Programas Informáticos / Receptores Acoplados a Proteínas G / Variantes Farmacogenómicas Tipo de estudio: Risk_factors_studies Límite: Humans Idioma: En Revista: Cell Año: 2018 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Farmacogenética / Programas Informáticos / Receptores Acoplados a Proteínas G / Variantes Farmacogenómicas Tipo de estudio: Risk_factors_studies Límite: Humans Idioma: En Revista: Cell Año: 2018 Tipo del documento: Article