To investigate the association of ten single nucleotide polymorphisms (SNPs) in the peroxisome proliferator-activated receptors (α, δ, γ) with low high-density lipoprotein-cholesterol (HDL-C) hyperlipidemia and the additional role of a gene-gene interactions among the 10 SNPs. Participants were recruited under the framework of the PMMJS (Prevention of Multiple Metabolic Disorders and MS in Jiangsu Province) cohort populations survey, in the urban community of Jiangsu province, China. 820 subjects (579 normal HDL-C, 241 low HDL-C) were randomly selected, with one of them related to each other. Ten SNPs (rs135539, rs4253778, rs1800206, rs2016520, rs9794, rs10865710, rs1805192, rs709158, rs3856806, rs4684847) were selected from the HapMap database, which covered PPARα, PPARδ and PPARγ. Logistic regression model was used to examine the association between ten SNPs in the PPARs and low HDL-C. Odds ratios (OR) and 95% confident interval (95%CI) were calculated. Interactions were explored by using the method of Generalized Multifactor Dimensionality Reduction (GMDR). After adjusting the factors as age, sex, smoking status, occupational physical activity, high-fat diet as well as low-fiber diet, both rs135539 and rs1800206 were significantly associated with the incidence of low HDL-C, with the OR (95% CI) values as 1.46 (1.07 - 1.99) and 0.62 (0.42 - 0.90). No statistically significant difference was found between other SNPs and the occurrence of low HDL-C. Data from GMDR analysis showed significant gene-gene interaction among rs135539, rs4253778 of PPARα and rs10865710, rs3856806, rs709158 and rs4684847 of PPAR γ (P = 0.0107). PPARα rs135539 was associated with the occurrence of low HDL-C, and had interacted with rs4253778, rs10865710, rs3856806, rs709158 and rs4684847.