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Updated: Apr 10, 2026

Cell-free Biochemical Fluorometric Enzymatic Assay for High-throughput Measurement of Lipid Peroxidation in High Density Lipoprotein
Published on: October 12, 2017
[Association between peroxisome proliferator-activated receptor and gene-gene interactions with the apolipoprotein A
Bo Hai1, Chuanmin Ni, Huijian Xie
1Department of Public Health, Soochow University, Suzhou 215123, China.
Objective:
To investigate the association between ten single nucleotide polymorphisms (SNPs) in the peroxisome proliferator-activated receptors (PPARα, β, γ) with apolipoprotein A I/apolipoprotein B100 (ApoA I/ApoB100) ratio and the additional role of a gene-gene interactions among the 10 SNPs.
Methods:
Participants were recruited under the framework of the Prevention of Multiple Metabolic Disorders and Metabolic Syndrome in Jiangsu Province (PMMJS) cohort population survey in the urban community of Jiangsu province of China.A total of 630 subjects were randomly selected and no individual was related.Ten SNPs (rs135539, rs4253778, rs1800206, rs2016520, rs9794, rs10865710, rs1805192, rs709158, rs3856806 and rs4684847) were selected from the HapMap database,which covered PPARα, PPARβ and PPARγ. A linear regression model was used to analyze the relations between ten SNPs in the PPARs and ApoA I/ApoB100 ratio level. Mean difference and 95% CI were calculated. Interactions were explored by using the method of Generalized Multifactor Dimensionality Reduction (GMDR).
Results:
After adjusting for age, gender, smoking status, alcohol consumption, occupational physical activity, high-fat diet as well as low-fiber diet, both rs1800206 and rs3856806 were significantly associated with a decreased level of ApoA I/ApoB100 ratio, mean difference (95% CI) values were -1.19 (-1.88 to -0.50) and -0.77 (-1.40 to -0.14). Whereas rs4253778 was significantly associated with an increased level of ApoA I/ApoB100 ratio, Mean difference (95% CI) values was 0.80 (0.08 to 1.52). GMDR analysis showed a significant gene-gene interaction among rs4253778, rs1800206 of PPARα, rs9794, rs2016520 of PPARβ and rs10865710, rs3856806, rs709158, rs1805192 of PPARγ for eight-dimension models (P = 0.01), in which prediction accuracy was 0.624 and cross-validation consistency was 7/10.
Conclusions:
The rs1800206 of PPARα and rs3856806 of PPARγ are significantly associated with a decreased level of ApoA I/ApoB100 ratio while rs4253778 of PPARα is associated with an increased level of ApoA I/ApoB100 ratio. There is a gene-gene interaction between multiple SNPs.
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