| Literature DB >> 25515861 |
Etsuko Iio1, Kentaro Matsuura, Nao Nishida, Shinya Maekawa, Nobuyuki Enomoto, Mina Nakagawa, Naoya Sakamoto, Hiroshi Yatsuhashi, Masayuki Kurosaki, Namiki Izumi, Yoichi Hiasa, Naohiko Masaki, Tatsuya Ide, Keisuke Hino, Akihiro Tamori, Masao Honda, Shuichi Kaneko, Satoshi Mochida, Hideyuki Nomura, Shuhei Nishiguchi, Chiaki Okuse, Yoshito Itoh, Hitoshi Yoshiji, Isao Sakaida, Kazuhide Yamamoto, Hisayoshi Watanabe, Shuhei Hige, Akihiro Matsumoto, Eiji Tanaka, Katsushi Tokunaga, Yasuhito Tanaka.
Abstract
Cytopenia during interferon-based (IFN-based) therapy for chronic hepatitis C (CHC) often necessitates reduction of doses of drugs and premature withdrawal from therapy resulting in poor response to treatment. To identify genetic variants associated with IFN-induced neutropenia, we conducted a genome-wide association study (GWAS) in 416 Japanese CHC patients receiving IFN-based therapy. Based on the results, we selected 192 candidate single nucleotide polymorphisms (SNPs) to carry out a replication analysis in an independent set of 404 subjects. The SNP rs2305482, located in the intron region of the PSMD3 gene on chromosome 17, showed a strong association when the results of GWAS and the replication stage were combined (OR = 2.18, P = 3.05 × 10(-7) in the allele frequency model). Logistic regression analysis showed that rs2305482 CC and neutrophil count at baseline were independent predictive factors for IFN-induced neutropenia (OR = 2.497, P = 0.0072 and OR = 0.998, P < 0.0001, respectively). Furthermore, rs2305482 genotype was associated with the doses of pegylated interferon (PEG-IFN) that could be tolerated in hepatitis C virus genotype 1-infected patients treated with PEG-IFN plus ribavirin, but not with treatment efficacy. Our results suggest that genetic testing for this variant might be useful for establishing personalized drug dosing in order to minimize drug-induced adverse events.Entities:
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Year: 2014 PMID: 25515861 DOI: 10.1007/s00439-014-1520-7
Source DB: PubMed Journal: Hum Genet ISSN: 0340-6717 Impact factor: 4.132