Register for email alerts and news feeds:
This journal | BMJ Group
rss
The most recent version of this article was published on 1 January 2008

J Med Genet. Published Online First: 31 August 2007. doi:10.1136/jmg.2007.052415
Copyright © 2007 by the BMJ Publishing Group Ltd.

Original articles

Genetic risk for metabolic syndrome: examination of candidate gene polymorphisms related to lipid metabolism in Japanese individuals

Yoshiji Yamada 1*, Kimihiko Kato 2, Tetsuro Yoshida 2, Kiyoshi Yokoi 2, Hitoshi Matsuo 3, Sachiro Watanabe 3, Norifumi Metoki 4, Hidemi Yoshida 5, Kei Satoh 5, Sahoko Ichihara 1, Yukitoshi Aoyagi 6, Akitomo Yasunaga 6, Hyuntae Park 6, Masashi Tanaka 6, Wan Lee 7 and Yoshinori Nozawa 8

1 Life Science Research Center, Mie University, Japan
2 Department of Cardiovascular Medicine, Gifu Prefectural Tajimi Hospital, Japan
3 Department of Cardiology, Gifu Prefectural General Medical Center, Japan
4 Department of Internal Medicine, Hirosaki Stroke Center, Japan
5 Department of Vascular Biology, Institute of Brain Science, Hirosaki University School of Medicine, Japan
6 Department of Genomics for Longevity and Health, Tokyo Metropolitan Institute of Gerontology, Japan
7 Department of Biochemistry, College of Medicine, Dongguk University, Kyungju, Korea, Republic of
8 Gifu International Institute of Biotechnology, Japan

* To whom correspondence should be addressed. E-mail: yamada{at}gene.mie-u.ac.jp.

Accepted 21 August 2007


Abstract

Background: The etiology of metabolic syndrome is complex, being determined by the interplay of both genetic and environmental factors. The aim of the present study was to identify gene polymorphisms that confer susceptibility to metabolic syndrome in order to allow prediction of genetic risk for this condition.

Methods: The study population comprised 2417 unrelated Japanese individuals, including 1522 subjects with metabolic syndrome and 895 controls. The genotypes for 44 polymorphisms of 31 candidate genes related to lipid metabolism were determined with a method that combines the polymerase chain reaction and sequence-specific oligonucleotide probes with suspension array technology.

Results: The chi-square test and subsequent multivariable logistic regression analysis with adjustment for age, sex, and smoking status revealed that the -3A->G and 553G->T (Gly185Cys) polymorphisms of APOA5, the 2052T->C (Val653Val) and 1866C->T (Asn591Asn) polymorphisms of LDLR, the 13989A->G (Ile118Val) polymorphism of CYP3A4, and the 1014T->A polymorphism of C1QTNF5 were significantly (false discovery rate < 0.05) associated with the prevalence of metabolic syndrome, with the variant alleles of APOA5 and C1QTNF5 representing risk factors for and those of LDLR and CYP3A4 being protective against this condition. Serum concentrations of triglycerides and HDL-cholesterol differed significantly (P < 0.05) among APOA5 genotypes; the serum concentration of HDL-cholesterol differed among LDLR genotypes; and the fasting plasma glucose level and body mass index differed between CYP3A4 and C1QTNF5 genotypes, respectively.

Conclusions: APOA5, LDLR, CYP3A4, and C1QTNF5 are susceptibility loci for metabolic syndrome in Japanese individuals. Genotypes for these polymorphisms may prove informative for prediction of genetic risk for metabolic syndrome.

Keywords: APOA5, C1QTNF5, CYP3A4, LDLR, metabolic syndrome


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?

This article has been cited by other articles:

  • Mattei, J., Demissie, S., Tucker, K. L., Ordovas, J. M. (2009). Apolipoprotein A5 Polymorphisms Interact with Total Dietary Fat Intake in Association with Markers of Metabolic Syndrome in Puerto Rican Older Adults. J. Nutr. 139: 2301-2308 [Abstract] [Full Text]  
  • Lee, Y. S., Latham, K. E., VandeVoort, C. A. (2008). Effects of in vitro maturation on gene expression in rhesus monkey oocytes. Physiol. Genomics 35: 145-158 [Abstract] [Full Text]  

This Article

Services
Citing Articles
Google Scholar
PubMed
Bookmark with

Register for free content

The full back archive is now available for all BMJ Journals. Institutional subscribers may access the entire archive as part of their subscription. Personal subscribers will also have access to all content when logged in. Non-subscribers who register have free access to all articles published before 2006 right back to volume 1 issue 1. Register here to access the free archive of all BMJ Journals.

Don't forget to sign up for content alerts so you keep up to date with all the articles as they are published.

Genetics jobs

Genetics jobs