IFN基因多态性作为亚洲人群结核病感染的危险因素:一项荟萃分析。

IF 1.6 Q4 INFECTIOUS DISEASES International Journal of Mycobacteriology Pub Date : 2023-07-01 DOI:10.4103/ijmy.ijmy_138_23
Bibin Savio Antony, Chitra Nagarajan, Kanakam Elizabeth Thomas, Sharon Benita Stephen, Santhosh Kumar Yasam, Gowtham Kumar Subbaraj
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引用次数: 0

摘要

背景:本荟萃分析的目的是验证干扰素基因中的两个多态性rs1861494和rs2069718与亚洲人群的结核病感染有关。方法:为了找到合适的病例对照研究,从数据库中进行搜索,包括Google Scholar、Science Direct、Embase和PubMed。借助MetaGenyo软件进行统计分析。使用现有数据库中的病例和对照研究来研究IFN-γ基因多态性与结核病感染风险之间的关系。本荟萃分析的方案使用PROSPERO(ID号:443605)注册。结果:通过检查IFN-γ基因的两种不同变体获得的信息显示与隐性、等位基因、超显性和显性模型有关。这表明所获得的统计值在P=0.05时具有统计学意义。IFN-γrs1861494基因多态性在等位基因、显性和超显性模型中的发现具有统计学意义(P>0.05),而隐性模型则表现出统计学意义(P=0.025)。IFN-γrss2069718基因多态性对超显性、隐性和等位基因模型表现出统计学显著值(P>0.05)。然而,结论:IFN-γ基因多态性的两种遗传变异(rs1861494和rs2069718)及其与结核病的相关性经荟萃分析证实。有必要对这种关联的分子基础进行更深入的研究,还需要更大规模的流行病学研究来证实这些发现。
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IFN-gene polymorphisms as a risk factor for tuberculosis infection in Asian populations: A meta-analysis.

Background: The purpose of this meta-analysis is to verify that rs1861494 and rs2069718, two polymorphisms in the IFN-gene, are associated with tuberculosis (TB) infection in Asian populations.

Methods: To find appropriate case-control studies, a search was done from the databases, including Google Scholar, Science Direct, Embase, and PubMed. With the aid of MetaGenyo software, statistical analyses were performed. Case and control studies from the available database were used to investigate the relationship between IFN-γ gene polymorphisms and TB infection risk. The protocol for the present meta-analysis was registered using PROSPERO (ID Number: 443605).

Results: Information obtained through examining two different variants of the IFN-γ gene showed associations with recessive, allelic, overdominant, and dominant models. This indicates that the statistical value obtained was found to be statistically significant at P = 0.05. The findings of the IFN-γ rs1861494 gene polymorphisms for allelic, dominant, and overdominant models were statistically significant with P > 0.05, whereas the recessive model exhibited a statistically insignificant value (P = 0.25). The IFN-γ rs2069718 gene polymorphism demonstrated statistically significant value for overdominant, recessive, and allelic models (P > 0.05). However, the dominant model shows a statistically insignificant value P = 0.11.

Conclusion: The two genetic variations of the IFN-γ gene polymorphisms (rs1861494 and rs2069718) and their association with TB were confirmed by the meta-analysis conducted. More in-depth research into the molecular basis of the association is necessary, and larger-scale epidemiological studies are needed to confirm these findings.

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来源期刊
CiteScore
2.20
自引率
25.00%
发文量
62
审稿时长
7 weeks
期刊最新文献
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