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 and Hiroyuki Honda

PLOS ONE, 2015, vol. 10, issue 2, 1-14

Abstract: 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

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0117591

DOI: 10.1371/journal.pone.0117591

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