ABSTRACT
AIM: Pulmonary tuberculosis (PTB) is an infectious disease with a high incidence worldwide. Previous genome-wide association studies have identified multiple susceptibility loci for pulmonary tuberculosis (PTB); however, validation of these findings is still needed. METHODS: For this study, we recruited 300 subjects with PTB and 300 healthy subjects from a Tibetan population living in near or in Xi'an, China. Association analyses of single-nucleotide polymorphisms (SNPs) in TAP2 and SEC14L2 were performed with SPSS Statistics (version 17.0), SNPStats, Haploview (version 4.2), and SHEsis software. RESULTS: We found a correction between one SNP (rs1061660) and PTB based on Chi-square or Fisher's exact tests. In the allelic model analysis, the SNPs rs1061660 in SEC14L2 gene increased PTB 1.32-fold risk (OR = 1.32, CI = 1.05-1.66, P = 0.017). In the genetic model analysis, the rs3819721 in TAP2 gene was associated with increased 1.65-fold risk in the co-dominant model and 1.67-fold risk in the over-dominant model, respectively. For the rs1061660 in SEC14L2 gene, we found it was associated with a 1.49-fold increase the risk of PTB in the dominant model and a 1.37-fold increase the risk of PTB in the log-additive model, respectively. CONCLUSION: We found that two SNPs are associated with increased PTB risk in the Chinese Tibetan population.