Objective To analyze the correlation between the 3 subtypes of PPAR genes(PPARα,PPARβ,and PPARγ) and the hypertriglyceridemic waist(HTGW),and to study whether there is an interaction in the 10 single nucleotide polymorphisms (SNPs) of the above 3 subtypes in causing of HTGW.Methods Eight hundred and twenty subjects for genetic polymorphism research were selected from the cohort study of PMMJS in Jiangsu province China.The HTGW was defined as a waist circumference ≥ 85 cm in men,≥ 80 cm in women,and triglyceride ≥1.70 mmol/L.10 SNPs of PPARs were determined,in which the SNP(rs4253778) was analyzed by polymerase chain reaction-restriction fragment length polymorphism(PCR-RFLP),the other SNPs were analyzed by TaqMan fluorescent probe.Logistic regression was used to analyze the relationship between gene polymorphism and HTGW,while generalized multifactor dimensionality reduction (GMDR) method was applied to analyze the gene-gene interactions.Results Single factor Logistic regression analysis showed that the SNP(rs1800206) ofPPARα,the SNP (rs2016520) of PPARβ and the SNP (rs3856806) of PPARγwere significantly associated with HTGW even after muhivariable adjustment [OR(95％ CI) were 2.41 (1.68-3.46),0.58 (0.41-0.79),and 1.43 (1.02-1.97),respectively].Gene-gene interactions of GMDR model adjusted by the covariates indicated that the four-locus model was the best model of this study,including SNP(rs4253778,rs1800206,rs2016520 and rs3856806).Conclusion The SNPs from PPARα/β/γ of PPARs may contribute to the risk of HTGW via both the main effect as well as the interaction.%目的 探讨PPARs基因多态性及其多个SNPs之间的基因-基冈交互作用与高甘油三酯性腰围(HTGW)的关系.方法 该研究的820名研究对象均来自于“江苏省多代谢异常和代谢综合征综合防治研究(PMMJS)”队列人群.HTGW判定标准为腰围男性≥85 cm,女性≥80 cm,同时甘油三脂≥1.70mmol/L；选取PPARs 3个亚型(PPARα/β/γ)的10个位点进行多态性检测,其中rs4253778使用聚合酶链反应-限制性片段长度多态性(PCR-RFLP)方法分析,其余位点应用TaqMan荧光探针法；采用logistic回归模型分析SNPs与HTGW之间的关联;应用广义多因子降维法(GMDR)分析基因-基因之间的交互作用.结果 单因素logistic回归分析显示,PPARα的rs 1800206、PPARβ的rs2016520和PPARγ的rs3856806均与HTGW显著关联,OR(95％ CI)分别为2.48(1.75 ～3.52)、0.63(0.42 ～0.83)和1.60(1.16 ～2.21),这种关联即使在多变量调整后[分别为2.41(1.68 ～3.46)、0.58(0.41～0.79)和1.43(1.02～1.97)]也依然具有统计学意义(P＜0.05).GMDR基因-基因交互作用分析显示4阶模型最优,不仅包含了关联分析中显著的PPARα rs1800206,PPARβ rs2016520和PPARγ rs3856806,也包括了关联分析不显著的PPARαrs4253778.结论 PPARα/β/γ的多个SNPs即通过显著的主效应又通过相互之间的交互作用影响HTGW的发生.
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