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Biological and Pharmaceutical Bulletin
Article . 2005 . Peer-reviewed
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Genotyping of Thiopurine Methyltransferase Using Pyrosequencing

Authors: Yuko, Okada; Katsunori, Nakamura; Masanori, Wada; Tetsuya, Nakamura; Norifumi, Tsukamoto; Yoshihisa, Nojima; Ryuya, Horiuchi; +1 Authors

Genotyping of Thiopurine Methyltransferase Using Pyrosequencing

Abstract

Thiopurine methyltransferase (TPMT) metabolizes thiopurine drugs which are used in the treatment of leukemia and some autoimmune diseases. Previously, 11 mutant alleles of TPMT gene (TPMT*1S, *2, *3A, *3B, *3C, *3D, *4, *5, *6, *7, and *8) have been reported. These mutant alleles may cause life-threatening toxicity in patients exposed to thiopurine drugs, 6-mercaptopurine and azathioprine. We have developed a rapid and accurate protocol for TPMT genotype determination using Pyrosequencing(TM) technology in 96 Japanese subjects. Five fragments of the TPMT gene (exon 4, 5, 7, 8, 10) were amplified by PCR, and the 10 single-nucleotide polymorphisms (SNPs) for TPMT*1S, *2, *3A, *3B, *3C, *3D, *4, *5, *6, *7, and *8 were sequenced. The results of this pyrosequencing method corresponded exactly with those of the DNA sequencing method using BigDye terminator chemistry. We have demonstrated that typing of 10 SNPs can be performed within 30 min. Pyrosequencing has a wide application in the large-scale identification of individual TPMT genotypes.

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Keywords

Adult, Male, Base Sequence, Genotype, Methyltransferases, Sequence Analysis, DNA, Middle Aged, Polymorphism, Single Nucleotide, Mutation, Humans, Female, Aged

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Average
Top 10%
Top 10%
gold