SLC11A1Gene Polymorphisms And Association Of Susceptibility To Tuberculosis

Objective: A case match control study were carried out to aim at exploring therelationship between the polymorphisms of SLC11A1gene (rs178235409A/G;rs17235416TGTG/(-); rs3731865G/C) and the susceptibility to pulmonary tuberculosis (PTB)among the populations in Ningxia Hui Autonomous Region (NHAR), P.R. of China.Methods: All the confirmed PTB cases, who had been diagnosed according to WHOTB-diagnosis criteria, without any other co-infectious condition, in different local TB clinicsin NHAR, were recruited under free-will in2010, and also the healthy match controls, whowere selected by the criteria of the same sex, nationality, similar age and residential area tothose cases but without any health condition. All the participants were interviewed by TBclinic staff with a questionnaire sheet regarding to the demographic information and thefactors related to the diagnosis, treatment and TB transmission risks. The participants wererequired2-5ml venous blood in EDTA tube, then stored at-20oC within30minutes postsampling before DNA extraction. After the genomic DNA extraction, the genotyping of theSLC11A1gene and the detection of the SNPs in rs178235409; rs17235416; rs3731865werecarried out by use of the polymerase chain reaction-restriction fragment length polymorphism(PCR-RFLP). The data of those questionnaires and the genotyping were entered into the SPSS16.0software package. After the effective value of population SNP data testing by use ofHardy-Weinberg Law method, a multiple logistic regression analysis (MLR) were used for theselecting the significantly different values of SNPs’ frequencies in different genepresentation models of the different population groups being sort by the demographic information between PTB cases and healthy controls. The significant difference wasdetermined in95%confidential intervals with P <0.05.Results: The distributions of the three SNPs in the SLC11A1gene amongst the993PTBcases and880health match controls were showed in the defective value (P>0,05), whichrepresented that the features of SLC11A1gene are common presentations among the localpopulations. Therefore, the SNP data analysis belongs to the effective. Although thecomparisons of PCR-RFLP for the three SNPs (rs178235409; rs17235416; rs3731865) haveshowed the significantly different frequencies between PTB cases and health controlsgenerally, the regression analysis only provide the significant differences occurrence in therecessive model in the rs17235416TGTG/(-)+TGTG/TGTG genotypes against TGTG(-)/(-),which associates with the risk to PTB infection (P <0.05) and the OR value (95%CI)=0.54(0.29-0.99).Conclusions: Of the three SNPs in SLC11A1gene, only the rs17235416locipolymorphism represents the susceptibility to PTB among Ningxia populations, whichparticularly demonstrates increasing the risk to PTB infection in the recessive model withTGTG/(-)+TGTG/TGTG genotypes.