单核苷酸多态性
基因型
连锁不平衡
生物
遗传学
肺结核
等位基因
等位基因频率
免疫学
基因
医学
病理
作者
Dandan Xu,Chong Wang,Feng Jiang,Liliang Wei,Liying Shi,YU Xiao-mei,Changming Liu,Xuehong Liu,Xianmin Feng,Zepeng Ping,Tingting Jiang,Ao‐Mei Li,Zhongjie Li,Ji‐Cheng Li
出处
期刊:PLOS ONE
[Public Library of Science]
日期:2015-09-17
卷期号:10 (9): e0138356-e0138356
被引量:16
标识
DOI:10.1371/journal.pone.0138356
摘要
Ficolin-2 (FCN2) is an innate immune pattern recognition molecule that can activate the complement pathway, opsonophagocytosis, and elimination of the pathogens. The present study aimed to investigate the association of the FCN2 gene single nucleotide polymorphisms (SNPs) with susceptibility to pulmonary tuberculosis (TB). A total of seven SNPs in exon 8 (+6359 C>T and +6424 G>T) and in the promoter region (-986 G>A, -602 G>A, -557 A>G, -64 A>C and -4 A>G) of the FCN2 gene were genotyped using the PCR amplification and DNA sequencing methods in the healthy controls group (n = 254) and the pulmonary TB group (n = 282). The correlation between SNPs and pulmonary TB was analyzed using the logistic regression method. The results showed that there were no significant differences in the distribution of allelic frequencies of seven SNPs between the pulmonary TB group and the healthy controls group. However, the frequency of the variant homozygous genotype (P = 0.037, -557 A>G; P = 0.038, -64 A>C; P = 0.024, +6424 G>T) in the TB group was significantly lower than the control group. After adjustment for age and gender, these variant homozygous genotypes were found to be recessive models in association with pulmonary TB. In addition, -64 A>C (P = 0.047) and +6424 G>T (P = 0.03) were found to be codominant models in association with pulmonary TB. There was strong linkage disequilibrium (r2 > 0.80, P < 0.0001) between 7 SNPs except the -602 G>A site. Therefore, -557 A>G, -64 A>C and +6424 G>T SNPs of the FCN2 gene were correlated with pulmonary TB, and may be protective factors for TB. This study provides a novel idea for the prevention and control of TB transmission from a genetics perspective.
科研通智能强力驱动
Strongly Powered by AbleSci AI