• Wancheng Li, Wenjing Dai, Jian Sun, Wei Zhang, Yi Jiang, Chunlan Ma, Chunmao Wang, and Jie He.
• Department of Respiratory Medicine, The First Affiliated Hospital of Chengdu Medical College Chengdu 610500, Sichuan, China.
• Int J Clin Exp Med. 2015 Jan 1; 8 (10): 19346-52.

AimsTo investigate the association between single nucleotide polymorphism (SNP) of peroxisome proliferator-activated receptors γ (PPAR γ) and additional gene-gene interactions on asthma risk.MethodsA total of 882 subjects (602 males, 280 females), with a mean age of 61.3±14.8 years old, including 430 asthma patients and 452 normal subjects were selected in this study, including the genotyping of polymorphisms. Logistic regression was performed to investigate association between SNP and asthma. Generalized MDR (GMDR) was used to analysis the interaction among four SNP.ResultsAsthma risk was significantly lower in carriers of Ala allele of the rs1805192 polymorphism than those with Pro/Pro (Pro/Ala+ Ala/Ala versus Pro/Pro, adjusted OR (95% CI)=0.70 (0.51-0.94). In addition, we also found a significant association between rs10865710 and asthma, asthma risk was significantly lower in carriers of G allele of the rs10865710 polymorphism than those with CC (CG+ GG versus CC, adjusted OR (95% CI)=0.68 (0.55-0.95). There was a significant three-locus model (P=0.0107) involving rs1805192, rs10865710 and rs709158, indicating a potential gene-gene interaction among rs1805192, rs10865710 and rs709158. Overall, the three-locus models had a cross-validation consistency of 10 of 10, and had the testing accuracy of 60.72% after covariates adjustment.ConclusionsOur results support an important association of rs1805192 and rs10865710 with asthma, and additional interaction among rs1805192, rs10865710 and rs709158.

3 keywords...

hide…