Literature DB >> 23140244

Omics and drug response.

Urs A Meyer1, Ulrich M Zanger, Matthias Schwab.   

Abstract

A new generation of technologies commonly named omics permits assessment of the entirety of the components of biological systems and produces an explosion of data and a major shift in our concepts of disease. These technologies will likely shape the future of health care. One aspect of these advances is that the data generated document the uniqueness of each human being in regard to disease risk and treatment response. These developments have reemphasized the concept of personalized medicine. Here we review the impact of omics technologies on one key aspect of personalized medicine: the individual drug response. We describe how knowledge of different omics may affect treatment decisions, namely drug choice and drug dose, and how it can be used to improve clinical outcomes.

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Mesh:

Year:  2012        PMID: 23140244     DOI: 10.1146/annurev-pharmtox-010510-100502

Source DB:  PubMed          Journal:  Annu Rev Pharmacol Toxicol        ISSN: 0362-1642            Impact factor:   13.820


  42 in total

Review 1.  Overcoming multiple myeloma drug resistance in the era of cancer 'omics'.

Authors:  Matthew Ho Zhi Guang; Amanda McCann; Giada Bianchi; Li Zhang; Paul Dowling; Despina Bazou; Peter O'Gorman; Kenneth C Anderson
Journal:  Leuk Lymphoma       Date:  2017-06-13

Review 2.  Genetic biomarkers in epilepsy.

Authors:  Yvonne G Weber; Anne T Nies; Matthias Schwab; Holger Lerche
Journal:  Neurotherapeutics       Date:  2014-04       Impact factor: 7.620

3.  Digital Twins in Biomanufacturing.

Authors:  Steffen Zobel-Roos; Axel Schmidt; Lukas Uhlenbrock; Reinhard Ditz; Dirk Köster; Jochen Strube
Journal:  Adv Biochem Eng Biotechnol       Date:  2021       Impact factor: 2.635

Review 4.  Pharmacometrics and systems pharmacology for metabolic bone diseases.

Authors:  Matthew M Riggs; Serge Cremers
Journal:  Br J Clin Pharmacol       Date:  2019-02-28       Impact factor: 4.335

Review 5.  Applying genomics in heart transplantation.

Authors:  Brendan J Keating; Alexandre C Pereira; Michael Snyder; Brian D Piening
Journal:  Transpl Int       Date:  2018-02-12       Impact factor: 3.782

Review 6.  Applications of omics and nanotechnology to improve pig embryo production in vitro.

Authors:  Caroline G Lucas; Paula R Chen; Fabiana K Seixas; Randall S Prather; Tiago Collares
Journal:  Mol Reprod Dev       Date:  2019-09-03       Impact factor: 2.609

7.  The genome, microbiome and evolutionary medicine.

Authors:  Robert C Brunham
Journal:  CMAJ       Date:  2018-02-12       Impact factor: 8.262

8.  Beyond drugs: the evolution of genes involved in human response to medications.

Authors:  Silvia Fuselli
Journal:  Proc Biol Sci       Date:  2019-10-23       Impact factor: 5.349

9.  Functional characterization of common protein variants in the efflux transporter ABCC11 and identification of T546M as functionally damaging variant.

Authors:  R Arlanov; T Lang; G Jedlitschky; E Schaeffeler; T Ishikawa; M Schwab; A T Nies
Journal:  Pharmacogenomics J       Date:  2015-04-21       Impact factor: 3.550

10.  Copy number variation profiling in pharmacogenes using panel-based exome resequencing and correlation to human liver expression.

Authors:  Roman Tremmel; Kathrin Klein; Florian Battke; Sarah Fehr; Stefan Winter; Tim Scheurenbrand; Elke Schaeffeler; Saskia Biskup; Matthias Schwab; Ulrich M Zanger
Journal:  Hum Genet       Date:  2019-11-30       Impact factor: 4.132

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