Association of both peroxisome proliferator-activated receptor, gene-gene interactions and the lipid accumulation product.

Bo Hai; Hui-jian Xie; Zhi-rong Guo; Ming WU; Qiu Chen; Zheng-yuan Zhou; Hao YU; Yi Ding

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Association of both peroxisome proliferator-activated receptor, gene-gene interactions and the lipid accumulation product.

Author: Bo HAI ¹ ; Hui-jian XIE ¹ ; Zhi-rong GUO ² ; Ming WU ³ ; Qiu CHEN ⁴ ; Zheng-yuan ZHOU ⁵ ; Hao YU ³ ; Yi DING ¹
Author Information

1. Department of Public Health, Soochow University, Suzhou 215123, China.
2. Department of Public Health, Soochow University, Suzhou 215123, China. Email: guozhirong28@163.com.
3. Jiangsu Provincial Center for Disease Control and Prevention.
4. Department of Radiation Medicine and Protection, Soochow University, Suzhou.
5. Changshu Center for Disease Control and Prevention, Jiangsu Province.
Publication Type:Journal Article
MeSH: Adult; China; Female; Gene Frequency; Genotype; Humans; Lipid Accumulation Product; Male; Metabolic Syndrome; genetics; metabolism; Middle Aged; Peroxisome Proliferator-Activated Receptors; genetics; Polymorphism, Single Nucleotide
From:Chinese Journal of Epidemiology 2013;34(11):1071-1076
CountryChina
Language:Chinese
Abstract:
OBJECTIVETo 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.
METHODSParticipants 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).
RESULTSAfter 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.
CONCLUSIONThe 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.