title: Association between three genetic variants of the Perilipin Gene (PLIN) and glucose metabolism: results from a replication study among Chinese adults and a meta-analysis.
abstract: OBJECTIVE
  This study was aimed to replicate the associations between three Perilipin Gene (PLIN) variants (rs894160, rs1052700, and rs2304796) and diabetes risks and to evaluate the overall effects of these variants on diabetes risk and obesity risk.
  
  
  METHODS
  We conducted a cross-sectional study among 993 Chinese Han adults. We also made a meta-analysis to estimate associations between these variants and diabetes risk and obesity risk.
  
  
  RESULTS
  In the sample of all participants, all three single-nucleotide polymorphisms (SNPs) were not significantly associated with diabetes risks. The PLIN polymorphisms significantly interacted with central obesity in relation to diabetes risk (P for interaction = 0.036, 0.033, and 0.042 for rs1052700, rs894160, and rs2304796, respectively). In those with allele T of rs1052700 or allele A of rs894160, fasting glucose concentration and diabetes risk increased significantly with the increment of waist circumference. Only association between rs894160 and obesity risk was available for meta-analysis. The meta-analysis indicated the overall estimation of obesity risk for rs894160 was 0.97 (0.78, 1.16) among participants with allele A versus people with genotype GG and 1.46 (0.99, 1.93) among those with genotype AA versus allele G carriers.
  
  
  CONCLUSIONS
  Chinese adults with high waist circumference may have a high risk of diabetes, especially among those with allele T in rs1052700 or with allele A in rs894160. People with genotype AA (rs894160) may have a high risk of obesity.
authors.affiliation: Department of Preventive Medicine, Shenzhen University School of Medicine , Shenzhen, Guangdong 518060 , China.
authors.forename: Dahai
authors.initials: D
authors.lastname: Yu
authors.forename: Chunyang
authors.initials: C
authors.lastname: Li
authors.forename: Jing
authors.initials: J
authors.lastname: Xie
authors.forename: Guoheng
authors.initials: G
authors.lastname: Xu
authors.forename: Yanyan
authors.initials: Y
authors.lastname: Li
authors.forename: Jiyan
authors.initials: J
authors.lastname: Liu
authors.forename: Bing
authors.initials: B
authors.lastname: Chen
authors.forename: Jingjing
authors.initials: J
authors.lastname: Pan
authors.forename: Minghui
authors.initials: M
authors.lastname: Shen
authors.forename: Liming
authors.initials: L
authors.lastname: Yang
authors.forename: Dongsheng
authors.initials: D
authors.lastname: Hu
mesh_terms: D000328:Adult; D044466:Asian People / Q000235:genetics; D001786:Blood Glucose / Q000032:analysis*; D015992:Body Mass Index; D002352:Carrier Proteins / Q000235:genetics*; D002681:China; D003430:Cross-Sectional Studies; D003924:Diabetes Mellitus, Type 2 / Q000235:genetics; D005215:Fasting; D005260:Female; D020022:Genetic Predisposition to Disease; D014644:Genetic Variation; D005838:Genotype; D006801:Humans; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000235:genetics; D000070778:Perilipin-1; D010750:Phosphoproteins / Q000235:genetics*; D020641:Polymorphism, Single Nucleotide; D012307:Risk Factors; D055105:Waist Circumference
chemical_list: D001786:Blood Glucose; D002352:Carrier Proteins; D000070778:Perilipin-1; D010750:Phosphoproteins