Literature DB >> 23138311

Pharmacogenomics in clinical practice and drug development.

Andrew R Harper1, Eric J Topol.   

Abstract

Genome-wide association studies (GWAS) of responses to drugs, including clopidogrel, pegylated-interferon and carbamazepine, have led to the identification of specific patient subgroups that benefit from therapy. However, the identification and replication of common sequence variants that are associated with either efficacy or safety for most prescription medications at odds ratios (ORs) >3.0 (equivalent to >300% increased efficacy or safety) has yet to be translated to clinical practice. Although some of the studies have been completed, the results have not been incorporated into therapy, and a large number of commonly used medications have not been subject to proper pharmacogenomic analysis. Adoption of GWAS, exome or whole genome sequencing by drug development and treatment programs is the most striking near-term opportunity for improving the drug candidate pipeline and boosting the efficacy of medications already in use.

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Mesh:

Year:  2012        PMID: 23138311      PMCID: PMC3819119          DOI: 10.1038/nbt.2424

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN: 1087-0156            Impact factor:   54.908


  72 in total

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Journal:  Nature       Date:  2012-08-02       Impact factor: 49.962

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10.  Genome-wide association analysis in asthma subjects identifies SPATS2L as a novel bronchodilator response gene.

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Journal:  PLoS Genet       Date:  2012-07-05       Impact factor: 5.917

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  34 in total

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Review 2.  The role of pharmacogenetics in drug disposition and response of oral glucose-lowering drugs.

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Review 5.  Single-Subject Studies in Translational Nutrition Research.

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6.  The fiduciary relationship model for managing clinical genomic "incidental" findings.

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Review 7.  Individualized medicine from prewomb to tomb.

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Review 8.  [Treat to target and personalized medicine (precision medicine)].

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Review 9.  Deep learning in pharmacogenomics: from gene regulation to patient stratification.

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Journal:  Pharmacogenomics       Date:  2018-04-26       Impact factor: 2.533

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