Literature DB >> 24898040

Personalized pharmacogenomics: predicting efficacy and adverse drug reactions.

Munir Pirmohamed1.   

Abstract

Drug response varies between individuals owing to disease heterogeneity, environmental factors, and genetic factors. Genetic factors can affect both the pharmacokinetics and pharmacodynamics of a drug, leading to changes in local and systemic drug exposure and/or changes in the function of the drug target, altering drug response. Several pharmacogenetic biomarkers are already utilized in clinical practice and have been shown to improve clinical outcomes. However, a large number of other biomarkers have never made it beyond the discovery stage. Concerted effort is needed to improve the translation of pharmacogenetic biomarkers into clinical practice, and this will involve the use of standardized phenotyping and genotyping strategies, collaborative work, multidisciplinary approaches to identifying and replicating associations, and cooperation with industry to facilitate translation and commercialization. Acceptance of these approaches by clinicians, regulators, patients, and the public will be important in determining future success.

Entities:  

Keywords:  biomarkers; drug efficacy; drug safety; personalized medicine; pharmacogenomics

Mesh:

Substances:

Year:  2014        PMID: 24898040     DOI: 10.1146/annurev-genom-090413-025419

Source DB:  PubMed          Journal:  Annu Rev Genomics Hum Genet        ISSN: 1527-8204            Impact factor:   8.929


  51 in total

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Journal:  Clin Pharmacol Ther       Date:  2015-11-20       Impact factor: 6.875

3.  The role of drug profiles as similarity metrics: applications to repurposing, adverse effects detection and drug-drug interactions.

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4.  Integration analysis of metabolites and single nucleotide polymorphisms improves the prediction of drug response of celecoxib.

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Review 5.  Pharmacogenomic Biomarkers for Improved Drug Therapy-Recent Progress and Future Developments.

Authors:  Volker M Lauschke; Lili Milani; Magnus Ingelman-Sundberg
Journal:  AAPS J       Date:  2017-11-27       Impact factor: 4.009

6.  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
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Review 7.  Clinical phenotype network: the underlying mechanism for personalized diagnosis and treatment of traditional Chinese medicine.

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Journal:  Front Med       Date:  2014-08-12       Impact factor: 4.592

8.  THE CHALLENGES IN USING ELECTRONIC HEALTH RECORDS FOR PHARMACOGENOMICS AND PRECISION MEDICINE RESEARCH.

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9.  Informed Consent in Translational Genomics: Insufficient Without Trustworthy Governance.

Authors:  Wylie Burke; Laura M Beskow; Susan Brown Trinidad; Stephanie M Fullerton; Kathleen Brelsford
Journal:  J Law Med Ethics       Date:  2018-03-27       Impact factor: 1.718

Review 10.  Pharmacogenomics.

Authors:  Dan M Roden; Howard L McLeod; Mary V Relling; Marc S Williams; George A Mensah; Josh F Peterson; Sara L Van Driest
Journal:  Lancet       Date:  2019-08-05       Impact factor: 79.321

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