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DOI 10.1016/j.meegid.2014.10.006

Медицинская библиотека · Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2014

Polymorphisms in the CISH gene are associated with susceptibility to tuberculosis in the Chinese Han population.

Ji Lin-dan, Xu Wei-nan, Chai Peng-fei, Zheng Wei, Qian Hai-xia, Xu Jin

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

A recent multi-center case-control study identified several single nucleotide polymorphisms (SNPs) within the cytokine-inducible SRC homology 2 domain (CISH) gene that are associated with susceptibility to tuberculosis (TB) in both African and Asian populations. To acquire a more robust and well-powered estimate of the putative influence of these SNPs on TB susceptibility, we conducted a well-designed case-control study in the Chinese Han population. We genotyped 3 previously identified SNPs within CISH in 600 patients with pulmonary TB and 618 healthy controls, and we calculated the pooled P-values and ORs of several studies that have also been conducted in the Chinese populations. The results of the case-control study showed that the C allele of rs2239751 and the T allele of rs414171 are associated with TB susceptibility, and this association exists only in women and young adults. The pooled analysis indicated that both SNPs are significantly associated with TB in the global populations and Chinese populations. The current study confirms that variants of CISH are associated with susceptibility to TB, suggesting that negative regulators of cytokine signaling may have a role in immunity against TB infection. We hypothesize that CISH and estrogen may interact in the cytokine-dependent regulation of the immune system.

Для цитирования: Ji Lin-dan, Xu Wei-nan, Chai Peng-fei, Zheng Wei, Qian Hai-xia, Xu Jin. Polymorphisms in the CISH gene are associated with susceptibility to tuberculosis in the Chinese Han population.. Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases. 2014. DOI: 10.1016/j.meegid.2014.10.006.

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