Literature DB >> 29285564

The effects of CXCL10 polymorphisms on COPD susceptibility.

Yan Wang1, Qipeng Zhou1, Lian Dong1, Mingmei Xiong1, Hua Jiang1, Meihua Guo1, Li Zhao1, Liang Yuan1, Ziying Li1, Hanwei Liu1, Jian Wang1, Nanshan Zhong1, Wenju Lu2.   

Abstract

The polymorphisms of cytokine genes has been reported to modulate the individual's susceptibility to environmental stimuli in COPD development. C-X-C motif chemokine 10 (CXCL10) mediates recruitment inflammatory cells such as monocytes. Therefore, it may play a key role in COPD. Here, a case-control study was conducted to evaluate the association between CXCL10 tag-SNPs and COPD risk. Four tag-SNPs including rs4256246, rs4508917, rs56061981, and rs56316945 were identified based on the linkage disequilibrium (LD) analysis in 30 healthy controls. The associations between these four tag-SNPs and COPD risk were further evaluated in 480 COPD cases and 488 controls. We found that the "T" allele of rs56061981 was significantly associated with reducing risk of COPD, while "G" allele of rs56316945 was significantly associated with increasing risk of COPD. SNP rs56316945 was significantly associated with increasing risk of COPD under different models except recessive model after adjusting the sex, age, pack year, and biomass. SNP rs56061981 was significantly associated with decreasing COPD risk under different models except recessive model after adjusting the sex, age, pack year, and biomass. Stratified analysis of smoking status and biomass with SNPs supported rs56061981 may interact with biomass and smoking thus modulate COPD susceptibility and rs56216945 was apparently associated with the severity of pulmonary function of COPD patients. This study suggests that rs56061981 and rs56216945 in CXCL10 gene promoter contribute COPD susceptibility.

Entities:  

Keywords:  Biomass; COPD; CXCL10; Case–control study; Cigarette smoking; Tag-SNPs

Mesh:

Substances:

Year:  2017        PMID: 29285564     DOI: 10.1007/s00438-017-1408-z

Source DB:  PubMed          Journal:  Mol Genet Genomics        ISSN: 1617-4623            Impact factor:   3.291


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