Objective: To explore the impact of the gene-gene interaction among the single nucleotide polymorphisms (SNPs) of peroxisome proliferator-activated receptor α/δ/γ on essential hypertension (EH).
Methods: Participants were recruited based on the previous work of the PMMJS (Prevention of Multiple Metabolic Disorders and Metabolic Syndrome in Jiangsu Province) cohort study in Jiangsu province of China. A total number of 820 subjects were randomly selected from the cohort and received gene polymorphism detection covered ten SNPs:PPARα/δ/γ (PPARα: rs135539, rs1800206 and rs4253778; PPARδ: rs2016520 and rs9794; PPARγ: rs10865710, rs1805192, rs4684847, rs709158 and rs3856806). Generalized Multifactor Dimensionality Reduction (GMDR) model was used to evaluate the association between gene-gene interaction among the ten SNPs and EH.
Results: After adjusting factors as gender, age, BMI, FPG, TG, HDL-C, high fat diet, low fiber diet and physical activity, results from the GMDR analysis showed that the best qualitative trait models were 7/9-dimensional model (EH: cross-validation consistency were 9/10 and 10/10, prediction accuracy were 0.5862 and 0.5885), 5/9-dimensional model (SBP:cross-validation consistency were 10/10 and 8/10, prediction accuracy were 0.6055 and 0.6011), and 8/9-dimensional model (DBP: cross-validation consistency both were 10/10, prediction accuracy were 0.5926 and 0.5972), while the best quantitative trait models were 4/5-dimensional model (SBP: cross-validation consistency were 10/10 and 8/10, prediction accuracy were 0.6111 and 0.6072), and 5-dimensional model (DBP: cross-validation consistency were 9/10, prediction accuracy were 0.5753).
Conclusion: Interactions among ten SNPs of PPARs seemed to have existed and with significant impact on the levels of blood pressure.