摘要目的 探讨过氧化物酶体增殖物激活受体(PPAR)单核苷酸多态性(SNP)以及基因-基因交互作用对脉压差的影响.方法 基于江苏省代谢综合征和多代谢异常综合防治研究(PMMJS)队列,采用单纯随机抽样方法随机抽取其中研究对象820例,选取3个PPARα、2个PPARδ和5个PPARγ的SNP位点并进行检测,运用广义多因子降维法(GMDR)模型检测10个SNP的基因-基因交互作用与高血压的关联.结果PPARγ的rs1805192的突变基因型(PA+AA)携带者与野生型(PP)相比,脉压差水平显著变化(1.341 mmHg,95％CI:0.431～2.252 mmHg).GMDR模型分析显示,在脉压差≥30 mmHg的亚组中,PPARα基因的rs135539、PPARδ的rs2016520、PPARγ的rs10865710、rs1805192、rs709158、rs3856806组成的六阶模型平均检验准确度为0.577,交叉验证一致性为10/10,为最优模型.而在脉压差≤40 mmHg的亚组中,二阶交互作用模型与脉压差显著相关,平均检验准确度为0.628,交叉验证一致性为10/10.结论PPARγ的rs1805192多态性与脉压差水平有关联,PPARα基因的rs135539、PPARδ的rs2016520和PPARγ的rs10865710、rs1805192、rs709158、rs3856806六个SNP间基因-基因交互作用与脉压差间具有显著性关联.

abstractsObjective To investigate the association between ten single nucleotide polymorphisms (SNPs) in the peroxisome proliferator-activated receptors and pulse pressure (PP) as well as the relationships between gene-gene interaction between PPARα/δ/γ genes and PP.Methods A total of 820 subjects,with 550 females and 270 males,were recruited from a cohort study of “Prevention of Metabolic Syndrome and Multi-metabolic Disorders in Jiangsu Province of China Study (PMMJS)”.Ten SNPs of PPARα/δ/γ genes were selected.GMDR software (version 1.0.1) was used to evaluate the gene-gene interactions among PPARs SNPs associated with PP.Results The mean levels of PP in people with mutant genotype of rs1805192 in PPARγ genes (PA+AA) showed a significant increase by 1.341 mmHg (95％CI:0.431-2.252 mmHg) when compared to the persons with wild genotype (PP).In the subgroup of subjects with more than 30 mmHg levels of PP,a six-locus model comprised rs135539 of PPARα,rs2016520 of PPARδ,rs10865710,rs1805192,rs709158 and rs3856806 of PPARγshowed a highest level of prediction accuracy (0.577) and displayed a better cross-validation consistency (10/10).In the subgroup of subjects with less than 40 mmHg levels of PP,a two-locus model was statistically associated with PP with 0.628 of prediction accuracy and 10/10 of cross-validation consistency.Conclusion PPARγrs1805192 was associated with the occurrence of PP.Gene-gene interactions among rs135539 of PPARα,rs2016520 of PPARδ,rs10865710,rs1805192,rs709158 and rs3856806 of PPARγ were all significantly related to PP.