title: Genetic variability at the six transmembrane protein of prostate 2 locus and the metabolic syndrome: the data from an epidemiological study on the Insulin Resistance Syndrome (DESIR) study.
abstract: BACKGROUND
  The six-transmembrane protein of prostate 2 (STAMP2) has been shown to be involved in insulin resistance in animal models, but in humans, its role is far from understood. Our hypothesis was that genetic variation of STAMP2 could be associated with insulin resistance phenotypes such as the metabolic syndrome (MetS) in humans.
  
  
  OBJECTIVE
  Our objective was to search for associations between STAMP2 polymorphisms and the MetS in humans.
  
  
  METHODS
  Nine single-nucleotide polymorphisms (SNPs) were tested for associations with the International Diabetes Federation-defined MetS and its constituent parameters in 5212 French Caucasians from the prospective study, Data from an Epidemiological Study on the Insulin Resistance Syndrome (DESIR), with a 9-yr follow-up. Methods included logistic regression and analysis of covariance adjusting for confounding variables and testing for interactions.
  
  
  RESULTS
  None of the SNPs was significantly associated with the prevalence or the incidence of the MetS. The rs12386756 was marginally associated with two parameters of the MetS [triglycerides (P = 0.04) and fasting glucose (P = 0.05)]. An interaction effect between this SNP and fat intake was observed on high-density lipoprotein-cholesterol levels (P = 0.01) and systolic blood pressure (P = 0.03) that is consistent with an interrelation between STAMP2 and nutrition. Three SNPs were associated with insulin levels, but these SNPs were not associated with other features of the MetS.
  
  
  CONCLUSIONS
  These findings suggest that the common polymorphisms of STAMP2 are unlikely to significantly contribute to the risk of the MetS in the general population, but relationships with insulin and interactions with fat intake need to be replicated.
authors.affiliation: Institut National de la Santé et de la Recherche Médicale Unité 695, Xavier Bichat School of Medicine, 75870 Paris, France.
authors.forename: Aurélie
authors.initials: A
authors.lastname: Miot
authors.forename: Suliya
authors.initials: S
authors.lastname: Maimaitiming
authors.forename: Nathalie
authors.initials: N
authors.lastname: Emery
authors.forename: Naima
authors.initials: N
authors.lastname: Bellili
authors.forename: Ronan
authors.initials: R
authors.lastname: Roussel
authors.forename: Jean
authors.initials: J
authors.lastname: Tichet
authors.forename: Gilberto
authors.initials: G
authors.lastname: Velho
authors.forename: Beverley
authors.initials: B
authors.lastname: Balkau
authors.forename: Michel
authors.initials: M
authors.lastname: Marre
authors.forename: Frédéric
authors.initials: F
authors.lastname: Fumeron
mesh_terms: D000328:Adult; D000368:Aged; D000483:Alleles; D000886:Anthropometry; D001786:Blood Glucose / Q000378:metabolism; D008076:Cholesterol, HDL / Q000097:blood; D016207:Cytokines / Q000097:blood; D030541:Databases, Genetic; D004041:Dietary Fats / Q000494:pharmacology; D005260:Female; D005500:Follow-Up Studies; D005602:France / Q000453:epidemiology; D005787:Gene Frequency; D014644:Genetic Variation; D005838:Genotype; D006801:Humans; D007328:Insulin / Q000097:blood; D007333:Insulin Resistance / Q000235:genetics*; D008297:Male; D008565:Membrane Proteins / Q000235:genetics*; D024821:Metabolic Syndrome / Q000453:epidemiology / Q000235:genetics*; D008875:Middle Aged; D010088:Oxidoreductases / Q000235:genetics*; D020641:Polymorphism, Single Nucleotide / Q000235:genetics; D014280:Triglycerides / Q000097:blood
chemical_list: D001786:Blood Glucose; D008076:Cholesterol, HDL; D016207:Cytokines; D004041:Dietary Fats; D007328:Insulin; D008565:Membrane Proteins; D014280:Triglycerides; D010088:Oxidoreductases; C503310:STEAP4 protein, human