Literature DB >> 15209398

Pharmacogenetics to predict drug-related adverse events.

David A Hosford1, Eric H Lai, John H Riley, Chun-Fang Xu, Theodore M Danoff, Allen D Roses.   

Abstract

Identification of reliable markers to predict drug-related adverse events (DRAEs) is an important goal of the pharmaceutical industry and others within the healthcare community. We have used genetic polymorphisms, including the most frequent source of variation (single nucleotide polymorphisms, SNPs) in the human genome, in pharmacogenetic approaches designed to predict DRAEs. Three studies exemplify the principles of using polymorphisms to identify associations in progressively larger genomic regions: polymorphic repeats within the UDP-glucuronysltransferase I (UGT1A1) gene in patients experiencing hyperbilirubinemia after administration of tranilast, an experimental drug to prevent re-stenosis following coronary revascularization; high linkage disequilibrium within the Apolipoprotein E (ApoE) gene in patients with Alzheimer Disease (AD); and the polymorphic variant HLA-B57 in patients with hypersensitivity reaction after administration of abacavir, a nucleoside reverse transcriptase inhibitor for the treatment of HIV. Together, these studies demonstrate in a stepwise manner the feasibility of using pharmacogenetic approaches to predict DRAEs.

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Year:  2004        PMID: 15209398     DOI: 10.1080/01926230490424743

Source DB:  PubMed          Journal:  Toxicol Pathol        ISSN: 0192-6233            Impact factor:   1.902


  2 in total

Review 1.  Combining genetic and nongenetic biomarkers to realize the promise of pharmacogenomics for inflammatory diseases.

Authors:  Joseph C Maranville; Anna Di Rienzo
Journal:  Pharmacogenomics       Date:  2014       Impact factor: 2.533

2.  PharmGED: Pharmacogenetic Effect Database.

Authors:  C J Zheng; L Y Han; B Xie; C Y Liew; S Ong; J Cui; H L Zhang; Z Q Tang; S H Gan; L Jiang; Y Z Chen
Journal:  Nucleic Acids Res       Date:  2006-12-06       Impact factor: 16.971

  2 in total

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