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Gene-Gene Interaction between PPARd and PPARy Is Associated with Abdominal Obesity in a Chinese Population

Gene-Gene Interaction between PPARd and PPARy Is Associated with Abdominal Obesity in a Chinese Population

作     者:Yi Ding Zhi-Rong Guo Ming Wu Qiu Chen Hao Yu Wen-Shu Luo 

作者机构:Department of EpidemiologySchool of Public HealthSoochow University Center for Diseases Control of Jiangsu Province Center for Disease Control of Changzhou 

出 版 物:《Journal of Genetics and Genomics》 (遗传学报(英文版))

年 卷 期:2012年第39卷第12期

页      面:625-631页

核心收录:

学科分类:0710[理学-生物学] 1002[医学-临床医学] 1001[医学-基础医学(可授医学、理学学位)] 10[医学] 

基  金:supported in part by the grants from the Scientific Research Fund of National Ministry of Health(WKJ 2004-2-014) the Priority Academic Program Development of Jiangsu Higher Education Institutions 

主  题:PPARs gene Polymorphism Abdominal obesity Interaction 

摘      要:The peroxisome proliferator-activated receptors (PPARs) -α, -δ/β and -γ are the ligand-activated transcription factors that function as the master regulators of glucose, fatty acid and lipoprotein metabolism, energy balance, cell proliferation and differentiation, inflarn- marion, and atherosclerosis. The objective of the current study was to examine the main and interactive effect of seven single nucleotide polymorphisms (SNPs) of PPARδ/γ, in contribution to abdominal obesity. A total of 820 subjects were randomly selected and no indi- viduals were related. The selected S NPs in PPARδ (rs2016520 and rs9794) and PPARγ (rs10865710, rs 1805192, rs709158, rs3856806, and rs4684847) were genotyped. Mean difference and 95% confident interval were calculated. Interactions were explored by the method of generalized multifactor dimensionality reduction. After adjustment for gender, age, and smoking status, it was found that the carriers of the C allele (TC + CC) of rs2016520 were associated with a decreased risk of abdominal obesity compared to the carriers of the TT genotype (mean difference = -2.63, 95% CI = -3.61-1.64, P 〈 0.000t). A significant two-locus model (P = 0.0107) involving rs2016520 and rs 10865710 and a significant three-locus model (P = 0.0107) involving rs2016520, rs9794, and rs 1805192 were observed. Overall, the three-locus model had the highest level of testing accuracy (59.85%) and showed a better cross-validation consistency (9/10) than two-locus model. Therefore, for abdominal obesity defined by waist circumference, we chose the three-locus model as the best interaction model. In conclusion, the C allele in rs2016520 was significantly associated with a lower abdominal obesity. Moreover, an interaction among rs2016520, rs1805192, and rs9794 on incident abdominal obesity could be demonstrated.

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