Premium
Single‐nucleotide polymorphisms of peroxisome proliferator‐activated receptor‐γ are associated with systemic lupus erythematosus in a Chinese Han population
Author(s) -
Ren D.F.,
Zhang J.
Publication year - 2016
Publication title -
clinical and experimental dermatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 78
eISSN - 1365-2230
pISSN - 0307-6938
DOI - 10.1111/ced.12853
Subject(s) - multifactor dimensionality reduction , single nucleotide polymorphism , medicine , genotype , odds ratio , logistic regression , genotyping , allele , case control study , peroxisome proliferator activated receptor , snp , endocrinology , genetics , oncology , biology , gene , receptor
Summary Background Evidence has indicated that peroxisome‐proliferator activated receptor‐γ ( PPAR ‐γ) agonists could be used in the prevention and treatment of murine systemic lupus erythematosus ( SLE ). However, to our knowledge, just one previous study has focused on the association between PPAR ‐γ polymorphisms and SLE in humans. Aim To investigate the association between PPAR ‐γ polymorphisms and SLE in a Chinese population and on additional gene–gene interaction between multiple single nucleotide polymorphisms ( SNP s) in PPAR ‐γ. Methods Three SNP s of PPAR ‐γ were selected for genotyping in this case–control study: rs1805192, rs10865710 and rs709158. Logistic regression was used to examine the association between the three SNP s and SLE , and the odds ratio ( OR ) and 95% CI were calculated. Generalized multifactor dimensionality reduction ( GMDR ) was used to investigate additional interaction. Results All genotypes were distributed according to Hardy–Weinberg equilibrium. Logistic regression analysis showed a significant association between genotypes of rs1805192 variants and decreased SLE risk, after adjustment for sex, age, smoking, high‐fat diet, low‐fibre diet, alcohol status, body mass index and waist circumference. Participants with Ala allesles had a lower SLE risk than those homozygous for the wild‐type allele ( OR = 0.78; 95% CI 0.69–0.92). GMDR analysis indicated that there was a significant two‐locus model ( P = 0.001) involving rs1805192 and rs10865710, indicating a potential gene–gene interaction between them. Overall, the two‐locus models had a cross‐validation consistency of 10 out of 10 and a testing accuracy of 60.72%. Conclusions There was a significant association between PPAR ‐γ rs1805192 genotypes and decreased SLE risk, and a potential gene–gene interaction between rs1805192 and rs10865710.