Prediction of personalized drugs based on genetic variations provided by DNA sequencing technologies

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Recent reports of death and illness caused by adverse drug reactions have boosted rational drug design research. It has been shown through sequencing of the entire human genome that human genetic variations play a key role in adverse reactions to drugs as well as in differences in the effectiveness of drug treatments. The advent of high-throughput DNA sequencing technologies with bioinformatics of system biology have allowed the easy identification of genetic variations and all other pharmacogenetic variants in a single assay, thus permitting truly personalized drug treatment. This would be particularly valuable for many patients with chronic diseases who must take many medications concurrently. In this review, we have focused on pharmacogenomics for the prediction of variable drug responses between individuals with relevant genetic variations through new DNA sequencing technologies and provided directions for personalized drug therapy in the future.

Original languageEnglish
Pages (from-to)591-603
Number of pages13
JournalGenes and Genomics
Volume33
Issue number6
DOIs
Publication statusPublished - 2011 Jan 1

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DNA Sequence Analysis
Drug therapy
Technology
Drug-Related Side Effects and Adverse Reactions
DNA
Pharmaceutical Preparations
High-Throughput Nucleotide Sequencing
Systems Biology
Drug Design
Pharmacogenetics
Medical Genetics
Human Genome
Computational Biology
Chronic Disease
Bioinformatics
Drug Therapy
Assays
Genes
Throughput
Research

ASJC Scopus subject areas

  • Genetics
  • Biochemistry
  • Molecular Biology

Cite this

Prediction of personalized drugs based on genetic variations provided by DNA sequencing technologies. / Kang, Seong Man; Hong, Sunghoi.

In: Genes and Genomics, Vol. 33, No. 6, 01.01.2011, p. 591-603.

Research output: Contribution to journalArticle

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