周慧,丁一,武鸣,范伟,俞浩,周正元,顾淑君,张丽君,董晨,郭志荣.过氧化物酶体增殖物激活受体多态性及基因-基因交互作用对脉压的影响[J].Chinese journal of Epidemiology,2017,38(10):1404-1409 |
过氧化物酶体增殖物激活受体多态性及基因-基因交互作用对脉压的影响 |
Association and effects of gene-gene interactions between peroxisome proliferator-activated receptor and pulse pressure |
Received:February 06, 2017 |
DOI:10.3760/cma.j.issn.0254-6450.2017.10.022 |
KeyWord: 脉压差 过氧化物酶体增殖物激活受体 广义多因子降维法 交互作用 |
English Key Word: Pulse pressure Peroxisome proliferator-activated receptors Generalized multifactor dimensionality reduction Interaction |
FundProject:国家自然科学基金(81502869);苏州市"科教兴卫"青年科技项目(KJXW2014060,KJXW2015063) |
Author Name | Affiliation | E-mail | Zhou Hui | Suzhou Industrial Park Centers for Disease Control and Prevention, Suzhou 215021, China | | Ding Yi | Suzhou Industrial Park Centers for Disease Control and Prevention, Suzhou 215021, China | | Wu Ming | Department of Chronic Non-communicable Diseases Prevention and Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China | | Fan Wei | Department of Epidemiology and Health Statistics, School of Public Health, Soochow University, Suzhou 215123, China | | Yu Hao | Department of Chronic Non-communicable Diseases Prevention and Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China | | Zhou Zhengyuan | Department of Chronic Non-communicable Diseases Prevention and Control, Changshu Center for Disease Control and Prevention, Changshu 215500, China | | Gu Shujun | Department of Chronic Non-communicable Diseases Prevention and Control, Changshu Center for Disease Control and Prevention, Changshu 215500, China | | Zhang Lijun | Department of Epidemiology and Health Statistics, School of Public Health, Soochow University, Suzhou 215123, China | | Dong Chen | Department of Epidemiology and Health Statistics, School of Public Health, Soochow University, Suzhou 215123, China | | Guo Zhirong | Department of Epidemiology and Health Statistics, School of Public Health, Soochow University, Suzhou 215123, China | guozhirong28@163.com |
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Abstract: |
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。 |
English Abstract: |
Objective 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 PPARγ showed 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 PPARγ rs1805192 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. |
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