title: [Association of both peroxisome proliferator-activated receptor, gene-gene interactions and the lipid accumulation product].
abstract: OBJECTIVE
  To investigate the association of ten single nucleotide polymorphisms (SNPs) in the peroxisome proliferator-activated receptors (PPARα, δ, γ) with lipid accumulation product (LAP) and the additional role of a gene-gene interactions among the 10 SNPs.
  
  
  METHODS
  Participants were recruited under the framework of the PMMJS (Prevention of Multiple Metabolic Disorders and Metabolic Syndrome in Jiangsu province) cohort populations survey in the urban community of Jiangsu province of China. A total of 820 subjects were randomly selected and no individual was related. Ten SNPs (rs135539, rs4253778, rs1800206, rs2016520, rs9794, rs10865710, rs1805192, rs709158, rs3856806 and rs4684847) were selected from the HapMap database, which covered PPARα, PPARδ and PPARγ. A linear regression model was used to analyze the relations between ten SNPs in the PPARs and LAP. Mean difference (Difference) and 95% confident interval (95%CI)were calculated. Interactions were explored by using the method of Generalized Multifactor Dimensionality Reduction (GMDR).
  
  
  RESULTS
  After adjusting the factors as age, gender, smoking status, occupational physical activity, educational level, high-fat diet as well as low-fiber diet, both rs1800206, s1805192 and rs3856806 were significantly associated with the increased level of LAP. Difference (95% CI) values were 32.47 (22.62-42.31), 12.97 (4.61-21.33) and 12.49 (4.24-20.75). Whereas rs2016520 was significantly associated with the decreased level of LAP. Difference (95%CI) values was -14.67 ( -22.97--6.55). GMDR analysis showed a significant gene-gene interaction among rs135539, rs1800206 of PPARα, rs2016520 of PPARδ and rs10865710, rs3856806, rs709158, rs1805192, rs4684847 of PPARγ for eight-dimension models (P < 0.05), in which prediction accuracy was 0.5902 and cross-validation consistency was 10/10.
  
  
  CONCLUSIONS
  The rs1800206 of PPARα and rs1805192, rs3856806 of PPARγ were significantly associated with the increased level of LAP; rs2016520 of PPARδ was associated with the decreased level of LAP. There was a gene-gene interaction between multiple SNPs.
authors: Department of Public Health, Soochow University, Suzhou 215123, China.
authors: Bo
authors: B
authors: Hai
authors: Department of Public Health, Soochow University, Suzhou 215123, China.
authors: Hui-jian
authors: HJ
authors: Xie
authors: Department of Public Health, Soochow University, Suzhou 215123, China. Email: guozhirong28@163.com.
authors: Zhi-rong
authors: ZR
authors: Guo
authors: Jiangsu Provincial Center for Disease Control and Prevention.
authors: Ming
authors: M
authors: Wu
authors: Department of Radiation Medicine and Protection, Soochow University, Suzhou.
authors: Qiu
authors: Q
authors: Chen
authors: Changshu Center for Disease Control and Prevention, Jiangsu Province.
authors: Zheng-yuan
authors: ZY
authors: Zhou
authors: Jiangsu Provincial Center for Disease Control and Prevention.
authors: Hao
authors: H
authors: Yu
authors: Department of Public Health, Soochow University, Suzhou 215123, China.
authors: Yi
authors: Y
authors: Ding
mesh_terms: D000328:Adult; D002681:China; D005260:Female; D005787:Gene Frequency; D005838:Genotype; D006801:Humans; D064237:Lipid Accumulation Product; D008297:Male; D024821:Metabolic Syndrome / Q000235:genetics* / Q000378:metabolism; D008875:Middle Aged; D047492:Peroxisome Proliferator-Activated Receptors / Q000235:genetics*; D020641:Polymorphism, Single Nucleotide
chemical_list: D047492:Peroxisome Proliferator-Activated Receptors