CAJ | 학술논문

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.
목적 탐토PPARs기인다태성급기다개SNPs지간적기인-기강교호작용여고감유삼지성요위(HTGW)적관계.방법 해연구적820명연구대상균래자우“강소성다대사이상화대사종합정종합방치연구(PMMJS)”대렬인군.HTGW판정표준위요위남성≥85 cm,녀성≥80 cm,동시감유삼지≥1.70mmol/L；선취PPARs 3개아형(PPARα/β/γ)적10개위점진행다태성검측,기중rs4253778사용취합매련반응-한제성편단장도다태성(PCR-RFLP)방법분석,기여위점응용TaqMan형광탐침법；채용logistic회귀모형분석SNPs여HTGW지간적관련;응용엄의다인자강유법(GMDR)분석기인-기인지간적교호작용.결과 단인소logistic회귀분석현시,PPARα적rs 1800206、PPARβ적rs2016520화PPARγ적rs3856806균여HTGW현저관련,OR(95％ CI)분별위2.48(1.75 ～3.52)、0.63(0.42 ～0.83)화1.60(1.16 ～2.21),저충관련즉사재다변량조정후[분별위2.41(1.68 ～3.46)、0.58(0.41～0.79)화1.43(1.02～1.97)]야의연구유통계학의의(P＜0.05).GMDR기인-기인교호작용분석현시4계모형최우,불부포함료관련분석중현저적PPARα rs1800206,PPARβ rs2016520화PPARγ rs3856806,야포괄료관련분석불현저적PPARαrs4253778.결론 PPARα/β/γ적다개SNPs즉통과현저적주효응우통과상호지간적교호작용영향HTGW적발생.
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.