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Association and interaction between 10 SNP of peroxisome proliferator-activated receptor and non-HDL-C / 中华预防医学杂志
Chinese Journal of Preventive Medicine ; (12): 259-264, 2015.
Article in Chinese | WPRIM | ID: wpr-291604
ABSTRACT
<p><b>OBJECTIVE</b>To examine the main effect of 10 Peroxisome proliferators-activated receptor (PPAR) SNP in contribution to non-HDL-C and study whether there is an interaction in the 10 SNPs.</p><p><b>METHODS</b>Participants were recruited within the framework of the PMMJS (Prevention of Multiple Metabolic Disorders and Metabolic Syndrome in Jiangsu province) cohort-population-survey, which was initiated from April 1999 to June 2004, and 5-year follow-up data from total 4 582 subjects were obtained between March 2006 and October 2007. A total of 4 083 participants received follow-up examination. After excluding subjects who had experienced stroke or exhibited cardiovascular disease, type 2 diabetes or a BMI <18.5 kg/m(2), a total of 820 unrelated individual subjects were selected from 3 731 subjects on October of 2009. Blood samples which were collected at the baseline were subjected to PPARα, PPAR&delta; and PPARγ 10 SNPs genotype analysis. Logistic regression model was used to examine the association between 10 SNPs in the PPARs and non-HDL-C. Interactions within the 10 SNP were explored by using the Generalized Multifactor Dimensionality Reduction (GMDR).</p><p><b>RESULTS</b>A total of 820 participants (mean age was 50.05±9.41) were included in the study and 270 were males and 550 were females. Single-locus analysis showed that after adjusting gender, age, smoking, alcohol consumption, physical activity, high-fat diet and low-fiber diet factors, rs1800206-V and rs3856806-T were significantly associated with higher non-HDL-C levels. V allele (LV + VV genotype) carriers of rs1800206 have a average non-HDL-C levels on (3.15 ± 0.89)mg/L (F = 15.01, P = 0.002); T allele (CT+TT genotype) carriers of rs3856806 have a average non-HDL-C levels on (3.03±1.01) mg/L (F = 9.87, P = 0.005). GMDR model analysis showed that after adjusting the same factors, two-locus model, five-locus model, six-locus model and seven-order interaction models were all statistically significant (P<0.05), and the seven-locus model (rs1800206, rs3856806, rs135539, rs4253778, rs2016520, rs1805192, rs709158) was the best model (P = 0.001), the cross-validation consistency was 10/10 and testing accuracy was 0.656.</p><p><b>CONCLUSION</b>Rs1800206 and rs3856806 were significantly associated with non-HDL-C. And there was an gene-gene interaction among rs1800206, rs3856806, rs1800206, rs135539, rs4253778, rs2016520, rs1805192, rs3856806 and rs709158 which could influence the non-HDL-C levels.</p>
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Full text: Available Index: WPRIM (Western Pacific) Main subject: Cardiovascular Diseases / Logistic Models / Cholesterol / Stroke / Polymorphism, Single Nucleotide / Peroxisome Proliferator-Activated Receptors / PPAR alpha / PPAR delta / PPAR gamma / Diabetes Mellitus, Type 2 Type of study: Prognostic study / Risk factors Limits: Female / Humans / Male Language: Chinese Journal: Chinese Journal of Preventive Medicine Year: 2015 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Cardiovascular Diseases / Logistic Models / Cholesterol / Stroke / Polymorphism, Single Nucleotide / Peroxisome Proliferator-Activated Receptors / PPAR alpha / PPAR delta / PPAR gamma / Diabetes Mellitus, Type 2 Type of study: Prognostic study / Risk factors Limits: Female / Humans / Male Language: Chinese Journal: Chinese Journal of Preventive Medicine Year: 2015 Type: Article