| Literature DB >> 25855068 |
Shigeo Kamitsuji1, Takashi Matsuda2, Koichi Nishimura2, Seiko Endo3, Chisa Wada3, Kenji Watanabe3, Koichi Hasegawa4, Haretsugu Hishigaki4, Masatoshi Masuda4, Yusuke Kuwahara5, Katsuki Tsuritani5, Kenkichi Sugiura6, Tomoko Kubota7, Shinji Miyoshi7, Kinya Okada7, Kazuyuki Nakazono1, Yuki Sugaya1, Woosung Yang1, Taiji Sawamoto2, Wataru Uchida2, Akira Shinagawa3, Tsutomu Fujiwara4, Hisaharu Yamada5, Koji Suematsu5, Naohisa Tsutsui7, Naoyuki Kamatani1, Shyh-Yuh Liou6.
Abstract
Japan Pharmacogenomics Data Science Consortium (JPDSC) has assembled a database for conducting pharmacogenomics (PGx) studies in Japanese subjects. The database contains the genotypes of 2.5 million single-nucleotide polymorphisms (SNPs) and 5 human leukocyte antigen loci from 2994 Japanese healthy volunteers, as well as 121 kinds of clinical information, including self-reports, physiological data, hematological data and biochemical data. In this article, the reliability of our data was evaluated by principal component analysis (PCA) and association analysis for hematological and biochemical traits by using genome-wide SNP data. PCA of the SNPs showed that all the samples were collected from the Japanese population and that the samples were separated into two major clusters by birthplace, Okinawa and other than Okinawa, as had been previously reported. Among 87 SNPs that have been reported to be associated with 18 hematological and biochemical traits in genome-wide association studies (GWAS), the associations of 56 SNPs were replicated using our data base. Statistical power simulations showed that the sample size of the JPDSC control database is large enough to detect genetic markers having a relatively strong association even when the case sample size is small. The JPDSC database will be useful as control data for conducting PGx studies to explore genetic markers to improve the safety and efficacy of drugs either during clinical development or in post-marketing.Entities:
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Year: 2015 PMID: 25855068 DOI: 10.1038/jhg.2015.23
Source DB: PubMed Journal: J Hum Genet ISSN: 1434-5161 Impact factor: 3.172