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Association between TAP2 and SEC14L2 polymorphisms and pulmonary tuberculosis risk in the Tibetan Chinese population.
Du, Baozhong; Hua, Demi; Droma, Ciren; Zhang, Hong; Qu, Ji; Yang, La; Jin, Tianbo; Yang, Juan.
Affiliation
  • Du B; Department of Pathogenic Biology, Medical College of Tibet University Lhasa, Tibet, China.
  • Hua D; Department of Lung, The Third Hospital of Tibet Autonomous Region Lhasa, Tibet, China.
  • Droma C; Community Health Center Chengguan Barkhor Street, Lhasa, Tibet, China.
  • Zhang H; Department of Lung, The Third Hospital of Tibet Autonomous Region Lhasa, Tibet, China.
  • Qu J; Department of Pathogenic Biology, Medical College of Tibet University Lhasa, Tibet, China.
  • Yang; Department of Pathogenic Biology, Medical College of Tibet University Lhasa, Tibet, China.
  • Jin T; School of Life Sciences, Northwest University Xi'an, China.
  • Yang J; Department of Pathogenic Biology, Medical College of Tibet University Lhasa, Tibet, China.
Int J Clin Exp Pathol ; 10(11): 11188-11194, 2017.
Article in En | MEDLINE | ID: mdl-31966469
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Int J Clin Exp Pathol Journal subject: PATOLOGIA Year: 2017 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Int J Clin Exp Pathol Journal subject: PATOLOGIA Year: 2017 Document type: Article Affiliation country:
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