Identification of an interaction between VWF rs7965413 and platelet count as a novel risk marker for metabolic syndrome: An extensive search of candidate polymorphisms in a case-control study

Masahiro Nakatochi, Yasunori Ushida, Yoshinari Yasuda, Yasuko Yoshida, Shun Kawai, Ryuji Kato, Toru Nakashima, Masamitsu Iwata, Yachiyo Kuwatsuka, Masahiko Ando, Nobuyuki Hamajima, Takaaki Kondo, Hiroaki Oda, Mutsuharu Hayashi, Sawako Kato, Makoto Yamaguchi, Shoichi Maruyama, Seiichi Matsuo, Hiroyuki Honda

研究成果: Article査読

8 被引用数 (Scopus)

抄録

Although many single nucleotide polymorphisms (SNPs) have been identified to be associated with metabolic syndrome (MetS), there was only a slight improvement in the ability to predict future MetS by the simply addition of SNPs to clinical risk markers. To improve the ability to predict future MetS, combinational effects, such as SNP - SNP interaction, SNP - environment interaction, and SNP - clinical parameter (SNP × CP) interaction should be also considered. We performed a case-control study to explore novel SNP × CP interactions as risk markers for MetS based on health check-up data of Japanese male employees. We selected 99 SNPs that were previously reported to be associated with MetS and components of MetS; subsequently, we genotyped these SNPs from 360 cases and 1983 control subjects. First, we performed logistic regression analyses to assess the association of each SNP with MetS. Of these SNPs, five SNPs were significantly associated with MetS (P < 0.05): LRP2 rs2544390, rs1800592 between UCP1 and TBC1D9, APOA5 rs662799, VWF rs7965413, and rs1411766 between MYO16 and IRS2. Furthermore, we performed multiple logistic regression analyses, including an SNP term, a CP term, and an SNP × CP interaction term for each CP and SNP that was significantly associated with MetS. We identified a novel SNP × CP interaction between rs7965413 and platelet count that was significantly associated with MetS [SNP term: odds ratio (OR) = 0.78, P = 0.004; SNP × CP interaction term: OR = 1.33, P = 0.001]. This association of the SNP × CP interaction with MetS remained nominally significant in multiple logistic regression analysis after adjustment for either the number of MetS components or MetS components excluding obesity. Our results reveal new insight into platelet count as a risk marker for MetS.

本文言語English
論文番号e0117591
ジャーナルPloS one
10
2
DOI
出版ステータスPublished - 03-02-2015
外部発表はい

All Science Journal Classification (ASJC) codes

  • 生化学、遺伝学、分子生物学(全般)
  • 農業および生物科学(全般)
  • 一般

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