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

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초록

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.

키워드

New DNA sequencingGenome analysisSingle nucleotide polymorphisms (SNPs)PharmacogenomicsPersonalized drugsGENOME-WIDE ASSOCIATIONSINGLE NUCLEOTIDE POLYMORPHISMSMULTIDRUG-RESISTANCE GENECHRONIC MYELOID-LEUKEMIAPLURIPOTENT STEM-CELLSMASS-SPECTROMETRYP-GLYCOPROTEINBREAST-CANCERWEB-SERVERREAL-TIME
제목
Prediction of personalized drugs based on genetic variations provided by DNA sequencing technologies
저자
Kang, SeongmanHong, Sunghoi
DOI
10.1007/s13258-011-0124-z
발행일
2011-12
유형
Review
저널명
Genes & Genomics
33
6
페이지
591 ~ 603