Association of SNP-SNP interactions of surfactant protein genes with severity of respiratory syncytial virus infection in children.

IF 2.5 4区 生物学 Q3 CELL BIOLOGY Physiological genomics Pub Date : 2024-10-01 Epub Date: 2024-09-02 DOI:10.1152/physiolgenomics.00045.2024
Chintan K Gandhi, Lynnlee C Depicolzuane, Chixiang Chen, Catherine M Roberts, Natalie Sicher, Katelyn Johnson Wegerson, Neal J Thomas, Rongling Wu, Joanna Floros
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Abstract

The severity of respiratory syncytial virus (RSV) may be linked to host genetic susceptibility. Surfactant protein (SP) genetic variants have been associated with RSV severity, but the impact of single-nucleotide polymorphism (SNP)-SNP interactions remains unexplored. Therefore, we used a novel statistical model to investigate the association of SNP-SNP interactions of SFTP genes with RSV severity in two- and three-interaction models. We analyzed available genotype and clinical data from prospectively enrolled 405 children diagnosed with RSV, categorizing them into moderate or severe RSV groups. Using Wang's statistical model, we studied significant associations of SNP-SNP interactions with RSV severity in a case-control design. We observed, first, association of three interactions with increased risk of severe RSV in a two-SNP model. One intragenic interaction was between SNPs of SFTPA2, and the other two were intergenic, involving SNPs of hydrophilic and hydrophobic SPs alone. We also observed, second, association of 22 interactions with RSV severity in a three-SNP model. Among these, 20 were unique, with 12 and 10 interactions associated with increased or decreased risk of RSV severity, respectively, and included at least one SNP of either SFTPA1 or SFTPA2. All interactions were intergenic except one, among SNPs of SFTPA1. The remaining interactions were either among SNPs of hydrophilic SPs alone (n = 8) or among SNPs of both hydrophilic or hydrophobic SPs (n = 11). Our findings indicate that SNPs of all SFTPs may contribute to genetic susceptibility to RSV severity. However, the predominant involvement of SFTPA1 and/or SFTPA2 SNPs in these interactions underscores their significance in RSV severity.NEW & NOTEWORTHY Although surfactant protein (SP) genetic variants are associated with respiratory syncytial virus (RSV) severity, the impact of single-nucleotide polymorphism (SNP)-SNP interactions of SP genes remained unexplored. Using advanced statistical models, we uncovered 22 SNP-SNP interactions associated with RSV severity, with notable involvement of SFTPA1 and SFTPA2 SNPs. This highlights the comprehensive role of all SPs in genetic susceptibility to RSV severity, shedding light on potential avenues for targeted interventions.

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表面活性物质蛋白基因的 SNP-SNP 相互作用与儿童呼吸道合胞病毒感染严重程度的关系。
呼吸道合胞病毒(RSV)的严重程度可能与宿主的遗传易感性有关。表面活性蛋白(SP)基因变异与 RSV 的严重程度有关,但 SNP-SNP(单核苷酸多态性)相互作用的影响仍未得到探讨。因此,我们采用了一种新的统计模型,在两相互作用和三相互作用模型中研究 SFTP 基因的 SNP-SNP 相互作用与 RSV 严重程度的关联。我们分析了前瞻性入组的 405 名确诊为 RSV 的儿童的现有基因型和临床数据,将他们分为中度和重度 RSV 组。利用王氏统计模型,我们在病例对照设计中研究了 SNP-SNP 相互作用与 RSV 严重程度的显著关联。我们观察到:1)在双 SNP 模型中,三种相互作用与严重 RSV 风险增加有关。其中一个基因内相互作用发生在 SFTPA2 的 SNPs 之间,另外两个是基因间相互作用,仅涉及亲水性和疏水性 SPs 的 SNPs。2)在三SNP模型中,22个相互作用与RSV严重程度有关。其中,20 个相互作用是唯一的,分别有 12 个和 10 个相互作用与 RSV 严重性风险的增加或降低有关,并且至少包括一个 SFTPA1 或 SFTPA2 的 SNP。除了一个 SFTPA1 的 SNP 之间的相互作用外,所有的相互作用都是基因间的。其余的相互作用要么是亲水性 SP 的 SNP 之间的相互作用(n=8),要么是亲水性或疏水性 SP 的 SNP 之间的相互作用(n=11)。我们的研究结果表明,所有 SFTPs 的 SNPs 都可能导致 RSV 严重程度的遗传易感性。然而,SFTPA1 和/或 SFTPA2 SNPs 在这些相互作用中的主要参与强调了它们在 RSV 严重性中的重要性。
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来源期刊
Physiological genomics
Physiological genomics 生物-生理学
CiteScore
6.10
自引率
0.00%
发文量
46
审稿时长
4-8 weeks
期刊介绍: The Physiological Genomics publishes original papers, reviews and rapid reports in a wide area of research focused on uncovering the links between genes and physiology at all levels of biological organization. Articles on topics ranging from single genes to the whole genome and their links to the physiology of humans, any model organism, organ, tissue or cell are welcome. Areas of interest include complex polygenic traits preferably of importance to human health and gene-function relationships of disease processes. Specifically, the Journal has dedicated Sections focused on genome-wide association studies (GWAS) to function, cardiovascular, renal, metabolic and neurological systems, exercise physiology, pharmacogenomics, clinical, translational and genomics for precision medicine, comparative and statistical genomics and databases. For further details on research themes covered within these Sections, please refer to the descriptions given under each Section.
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