Gene-Gene Interaction between PPARδ and PPARγ Is Associated with Abdominal Obesity in a Chinese Population
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, inflammation, and atherosclerosis....
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| Published in | Journal of genetics and genomics Vol. 39; no. 12; pp. 625 - 631 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
China
Elsevier Ltd
20.12.2012
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1673-8527 |
| DOI | 10.1016/j.jgg.2012.08.005 |
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| Abstract | 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, inflammation, 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 individuals were related. The selected SNPs in PPARδ (rs2016520 and rs9794) and PPARγ (rs10865710, rs1805192, 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 < 0.0001). A significant two-locus model (P = 0.0107) involving rs2016520 and rs10865710 and a significant three-locus model (P = 0.0107) involving rs2016520, rs9794, and rs1805192 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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| AbstractList | 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, inflammation, 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 individuals were related. The selected SNPs in PPARδ (rs2016520 and rs9794) and PPARγ (rs10865710, rs1805192, 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 < 0.0001). A significant two-locus model (P = 0.0107) involving rs2016520 and rs10865710 and a significant three-locus model (P = 0.0107) involving rs2016520, rs9794, and rs1805192 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. The peroxisome proliferator-activated receptors (PPARs) - alpha , - delta / beta and - gamma 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, inflammation, and atherosclerosis. The objective of the current study was to examine the main and interactive effect of seven single nucleotide polymorphisms (SNPs) of PPAR delta / gamma in contribution to abdominal obesity. A total of 820 subjects were randomly selected and no individuals were related. The selected SNPs in PPAR delta (rs2016520 and rs9794) and PPAR gamma (rs10865710, rs1805192, 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- super(-)1.64, P < 0.0001). A significant two-locus model (P = 0.0107) involving rs2016520 and rs10865710 and a significant three-locus model (P = 0.0107) involving rs2016520, rs9794, and rs1805192 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. 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, inflammation, 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 individuals were related. The selected SNPs in PPARδ (rs2016520 and rs9794) and PPARγ (rs10865710, rs1805192, 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 < 0.0001). A significant two-locus model (P = 0.0107) involving rs2016520 and rs10865710 and a significant three-locus model (P = 0.0107) involving rs2016520, rs9794, and rs1805192 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. 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, inflammation, 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 individuals were related. The selected SNPs in PPARδ (rs2016520 and rs9794) and PPARγ (rs10865710, rs1805192, 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 < 0.0001). A significant two-locus model (P = 0.0107) involving rs2016520 and rs10865710 and a significant three-locus model (P = 0.0107) involving rs2016520, rs9794, and rs1805192 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. 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. 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, inflammation, 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 individuals were related. The selected SNPs in PPARδ (rs2016520 and rs9794) and PPARγ (rs10865710, rs1805192, 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 < 0.0001). A significant two-locus model (P = 0.0107) involving rs2016520 and rs10865710 and a significant three-locus model (P = 0.0107) involving rs2016520, rs9794, and rs1805192 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.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, inflammation, 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 individuals were related. The selected SNPs in PPARδ (rs2016520 and rs9794) and PPARγ (rs10865710, rs1805192, 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 < 0.0001). A significant two-locus model (P = 0.0107) involving rs2016520 and rs10865710 and a significant three-locus model (P = 0.0107) involving rs2016520, rs9794, and rs1805192 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. |
| Author | Guo, Zhi-Rong Ding, Yi Chen, Qiu Wu, Ming Yu, Hao Luo, Wen-Shu |
| AuthorAffiliation | Department of Epidemiology, School of Public Health, Soochow University, Suzhou 215123, China Center for Diseases Control of Jiangsu Province, Nanjing 210009, China Center for Disease Control of Changzhou, Changzhou 213002, China |
| Author_xml | – sequence: 1 givenname: Yi surname: Ding fullname: Ding, Yi organization: Department of Epidemiology, School of Public Health, Soochow University, Suzhou 215123, China – sequence: 2 givenname: Zhi-Rong surname: Guo fullname: Guo, Zhi-Rong email: guozhirong28@163.com organization: Department of Epidemiology, School of Public Health, Soochow University, Suzhou 215123, China – sequence: 3 givenname: Ming surname: Wu fullname: Wu, Ming organization: Center for Diseases Control of Jiangsu Province, Nanjing 210009, China – sequence: 4 givenname: Qiu surname: Chen fullname: Chen, Qiu organization: Department of Epidemiology, School of Public Health, Soochow University, Suzhou 215123, China – sequence: 5 givenname: Hao surname: Yu fullname: Yu, Hao organization: Center for Diseases Control of Jiangsu Province, Nanjing 210009, China – sequence: 6 givenname: Wen-Shu surname: Luo fullname: Luo, Wen-Shu organization: Center for Disease Control of Changzhou, Changzhou 213002, China |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/23273766$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_1007_s00059_013_3819_x crossref_primary_10_1016_j_ejphar_2021_174728 crossref_primary_10_3390_nu14204425 crossref_primary_10_1007_s00438_014_0866_9 crossref_primary_10_1155_2022_1499454 crossref_primary_10_1038_s41598_020_60996_2 crossref_primary_10_1016_j_dsx_2017_03_004 crossref_primary_10_1038_s41598_021_89285_2 crossref_primary_10_1111_ijpo_12026 crossref_primary_10_1902_jop_2015_140472 crossref_primary_10_3389_fgene_2019_00404 |
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| Keywords | PPARs gene Abdominal obesity Interaction Polymorphism |
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| Notes | PPARs gene; Polymorphism; Abdominal obesity; Interaction 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. 11-5450/R http://dx.doi.org/10.1016/j.jgg.2012.08.005 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
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| Snippet | The peroxisome proliferator-activated receptors （PPARs） -α, -δ/β and -γ are the ligand-activated transcription factors that function as the master regulators... The peroxisome proliferator-activated receptors (PPARs) -α, -δ/β and -γ are the ligand-activated transcription factors that function as the master regulators... The peroxisome proliferator-activated receptors (PPARs) - alpha , - delta / beta and - gamma are the ligand-activated transcription factors that function as... |
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| SubjectTerms | Abdominal obesity Adult Alleles Analysis of Variance Asian Continental Ancestry Group - genetics Asian People atherosclerosis cell proliferation China energy balance Epistasis, Genetic ethnology fatty acids Female gender Gene Frequency genetics Genotype glucose Humans inflammation Interaction Linkage Disequilibrium lipoproteins Male metabolism Middle Aged Models, Genetic obesity Obesity, Abdominal Obesity, Abdominal - ethnology Obesity, Abdominal - genetics Polymorphism Polymorphism, Single Nucleotide PPAR delta PPAR delta - genetics PPAR gamma PPAR gamma - genetics PPARs PPARs gene receptors Risk Factors risk reduction single nucleotide polymorphism transcription factors waist circumference 下腹部 人口 单核苷酸多态性 基因分型 相互作用 肥胖 过氧化物酶体增殖物激活受体 |
| Title | Gene-Gene Interaction between PPARδ and PPARγ Is Associated with Abdominal Obesity in a Chinese Population |
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