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HIF1A基因多态性与人类疾病:97项关联研究的图文综述

HIF1A gene polymorphisms and human diseases: Graphical review of 97 association studies.

作者信息

Gladek I, Ferdin J, Horvat S, Calin G A, Kunej T

机构信息

Department of Animal Science, Biotechnical Faculty, University of Ljubljana, Groblje 3, Domzale, 1230, Slovenia.

Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Vrazov Trg 2, Ljubljana, 1000, Slovenia.

出版信息

Genes Chromosomes Cancer. 2017 Jun;56(6):439-452. doi: 10.1002/gcc.22449. Epub 2017 Mar 31.

Abstract

Hypoxia-inducible factors (HIFs) belong to a family of transcription factors (TF) responsive to a low O availability, which is often a characteristic feature of solid tumors. The alpha subunit of the HIF heterodimer is O -sensitive, and once stabilized in hypoxia, it functions as a master regulator of various genes involved in hypoxia pathway. Changes in the HIF1A (hypoxia inducible factor 1, alpha subunit) nucleotide sequence or expression has been shown to be associated with the development of several diseases. Because of increasing research interest in HIF1A gene a review of association studies was needed. We here reviewed published data on single nucleotide polymorphisms (SNPs) in HIF1A in various diseases; in total, 34 SNPs were tested for an association with 49 phenotypes, and the results were visualized using the Cytoscape software. Among all collected polymorphisms 16 SNPs showed significant associations with 40 different phenotypes, including six SNPs associated with 14 cancer types. Missense SNPs (rs11549465 and rs11549467) within the oxygen-dependent degradation domain were most frequently studied. The study provides a comprehensive tool for researchers working in this area and may contribute to more accurate disease diagnosis and identification of therapeutic targets.

摘要

缺氧诱导因子(HIFs)属于一类对低氧可用性有反应的转录因子(TF)家族,而低氧可用性通常是实体瘤的一个特征。HIF异二聚体的α亚基对氧敏感,一旦在缺氧状态下稳定,它就作为参与缺氧途径的各种基因的主要调节因子发挥作用。HIF1A(缺氧诱导因子1,α亚基)核苷酸序列或表达的变化已被证明与多种疾病的发生有关。由于对HIF1A基因的研究兴趣日益增加,因此需要对关联研究进行综述。我们在此综述了已发表的关于各种疾病中HIF1A单核苷酸多态性(SNP)的数据;总共测试了34个SNP与49种表型的关联,并使用Cytoscape软件对结果进行了可视化展示。在所有收集到的多态性中,16个SNP与40种不同的表型显示出显著关联,其中包括6个与14种癌症类型相关的SNP。对氧依赖性降解结构域内的错义SNP(rs11549465和rs11549467)的研究最为频繁。该研究为该领域的研究人员提供了一个全面的工具,可能有助于更准确的疾病诊断和治疗靶点的识别。

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