Application of a combination of a knowledge-based algorithm and 2-stage screening to hypothesis-free genomic data on irinotecan-treated patients for identification of a candidate single nucleotide polymorphism related to an adverse effect.

Application of a combination of a knowledge-based algorithm and 2-stage screening to hypothesis-free genomic data on irinotecan-treated patients for identification of a candidate single nucleotide polymorphism related to an adverse effect.

Interindividual variation in a drug response among patients is known to cause serious problems in medicine. Genomic information has been proposed as the basis for "personalized" health care. The genome-wide association study (GWAS) is a powerful technique for examining single nucleotide po...

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Bibliographic Details
Main Authors: Hiro Takahashi, Kimie Sai, Yoshiro Saito, Nahoko Kaniwa, Yasuhiro Matsumura, Tetsuya Hamaguchi, Yasuhiro Shimada, Atsushi Ohtsu, Takayuki Yoshino, Toshihiko Doi, Haruhiro Okuda, Risa Ichinohe, Anna Takahashi, Ayano Doi, Yoko Odaka, Misuzu Okuyama, Nagahiro Saijo, Jun-ichi Sawada, Hiromi Sakamoto, Teruhiko Yoshida
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4134257?pdf=render

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http://europepmc.org/articles/PMC4134257?pdf=render

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