Polymorphisms of Fatty Acid Elongase 2 Gene Afftects Risk of Pulmonary Tuberculosis in China Han Population

Min  Mu; Li  Jing; Yuan-Jie  Zou; Xing-Rong  Tao; Fei  Wang; Jun Lu

doi:10.18502/ijph.v50i11.7580

Min Mu Key Laboratory, Industrial Dust Control and Occupational Health, The Ministry of Education, Anhui University of Science and Technology , Anhui, China
Li Jing Department of Medical frontier Experimental Center, School of Medicine, Anhui University of Science and Technology, Anhui, China
Yuan-Jie Zou Department of Medical frontier Experimental Center, School of Medicine, Anhui University of Science and Technology, Anhui, China
Xing-Rong Tao Key Laboratory, Industrial Dust Control and Occupational Health, The Ministry of Education, Anhui University of Science and Technology , Anhui, China
Fei Wang Key Laboratory, Industrial Dust Control and Occupational Health, The Ministry of Education, Anhui University of Science and Technology , Anhui, China
Jun Lu Key Laboratory, Industrial Dust Control and Occupational Health, The Ministry of Education, Anhui University of Science and Technology , Anhui, China

DOI: https://doi.org/10.18502/ijph.v50i11.7580

Keywords: Tuberculosis; ELOVL2 gene; Single nucleotide polymorphism; China

Abstract

Background: As an infectious disease closely related to Mycobacterium tuberculosis, autoimmunity, inflammation, environment and heredity, the relationship between the single nucleotide polymorphism of elongase 2 gene and the susceptibility to tuberculosis is still unknown.

Methods: Between January 2016 and November 2018, a hospital-based case-control study was conducted. This epidemiological survey was conducted in both hospitals every three months. rs3798719, rs1570069, and rs2236212 in ELOVL2 gene were detected by Sanger sequencing.

Results: Stratified by gender, the genotypes and allele frequencies of rs3798719, rs1570069 and rs2236212 showed significant differences between the two groups (χ2 = 6.987, P = 0.030), Genetic modeling showed that rs3798719 was statistically different in the overdominance model (χ2 = 4.784, OR = 1.414, 95% CI: 1.036-1.929, P < 0.05). The polymorphism of rs2236212 between male TB patients and healthy controls was statistically different in the dominance model. (χ2 = 4.192, OR = 0.507; 95% CI: 0.262-0.981, P < 0.05).

Conclusion: The rs3798719 of ELOVL2 gene may be associated with susceptibility to TB in female population and the rs2236212 of ELOVL2 gene may be associated with TB incidence in male patients.