Wang Ting, Yang Jingjin, Ji Xiaoming, Chu Minjie, Zhang Ruyang, Dai Juncheng, Jin Guangfu, Hu Zhibin, Shen Hongbing, Ni Chunhui
Department of Occupational Medicine and Environmental Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Department of Epidemiology and Biostatistics and Ministry of Education (MOE) Key Lab for Modern Toxicology, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Epidemiology and Biostatistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Toxicol Lett. 2015 Jan 5;232(1):284-92. doi: 10.1016/j.toxlet.2014.10.028. Epub 2014 Nov 4.
The aim of this investigation was to identify pathways involved in pneumoconiosis susceptibility, clarify their potential mechanisms, and generate SNP-to-gene to pathway hypotheses using an analytical pathway-based approach.
The identify candidate causal SNPs and pathways (ICSNPathway) was used to perform pathway analysis of a GWAS dataset for pneumoconiosis, which, after quality control filtering, harbored genotypes of 710,999 SNPs in 202 pneumoconiosis cases and 198 exposed controls. The first stage involved the pre-selection of candidate SNPs by linkage disequilibrium analysis and functional annotation of the most significant SNPs; the second stage involved annotation of biological mechanisms for the selected candidate SNPs using improved-gene set enrichment analysis.
ICSNPathway analysis identified 18 candidate SNPs, involving 13 genes and 30 candidate pathways and revealed 13 hypothetical biological mechanisms. The strongest hypothetical biological mechanism was that rs8120 and rs2292151 alters the role of TICAM1, a gene involved in various pathways and processes, including positive regulation of tumor necrosis factor (TNF) production, innate immune response-activating signal transduction, positive regulation of the innate immune response, and the biosynthesis of type I interferon (0.001<p<0.008; 0.001< false discovery rate (FDR) <0.035). The second strongest mechanism was that rs2230656 modulates HIST3H3 to affect its role in chromatin assembly processes (p<0.001; FDR <0.001). The third mechanism was that rs11592462 modulates CDH23, which regulates organization of the inner ear stereocilia, auditory receptor cell morphogenesis, ear morphogenesis, and cellular homeostasis (0.001<p<0.006; 0.001<FDR<0.044). Of 13 candidate genes, TICAM1, HIST3H3, CA1, CA3, PTPRZ1, and IL27RA are associated with fibrosis. Some of the 30 candidate pathways, which include positive regulation of TNF production, innate immune response-activating signal transduction, and regulation of innate immune response, may be associated with susceptibility to pneumoconiosis. Other candidate genes and pathways were novel or lacking fibrosis-related research.
By applying ICSNPathway analysis to the pneumoconiosis GWAS data, we identified candidate SNPs, genes such as TICAM1 and HIST3H3, and pathways involved in the positive regulation of TNF production that may contribute to pneumoconiosis susceptibility. Further analyses are needed to validate the results.
本研究旨在确定尘肺病易感性相关途径,阐明其潜在机制,并使用基于分析途径的方法生成单核苷酸多态性(SNP)-基因-途径假说。
使用识别候选因果SNP和途径(ICSNPathway)对尘肺病全基因组关联研究(GWAS)数据集进行途径分析,该数据集经质量控制筛选后,包含202例尘肺病病例和198例暴露对照的710,999个SNP的基因型。第一阶段通过连锁不平衡分析和最显著SNP的功能注释进行候选SNP的预筛选;第二阶段使用改进的基因集富集分析对所选候选SNP的生物学机制进行注释。
ICSNPathway分析确定了18个候选SNP,涉及13个基因和30条候选途径,并揭示了13种假设的生物学机制。最强的假设生物学机制是rs8120和rs2292151改变了TICAM1的作用,TICAM1是一个参与多种途径和过程的基因,包括肿瘤坏死因子(TNF)产生的正调控、先天免疫反应激活信号转导、先天免疫反应的正调控以及I型干扰素的生物合成(0.001 < p < 0.008;0.001 < 错误发现率(FDR)< 0.035)。第二强的机制是rs2230656调节HIST3H3以影响其在染色质组装过程中的作用(p < 0.001;FDR < 0.001)。第三种机制是rs11592462调节CDH23,CDH23调节内耳静纤毛的组织、听觉受体细胞形态发生、耳形态发生和细胞稳态(0.001 < p < 0.006;0.001 < FDR < 0.044)。在13个候选基因中,TICAM1、HIST3H3、CA1、CA3、PTPRZ1和IL27RA与纤维化相关。30条候选途径中的一些,包括TNF产生的正调控、先天免疫反应激活信号转导和先天免疫反应的调节,可能与尘肺病易感性相关。其他候选基因和途径是新的或缺乏纤维化相关研究。
通过将ICSNPathway分析应用于尘肺病GWAS数据,我们确定了候选SNP、TICAM1和HIST3H3等基因以及参与TNF产生正调控的途径,这些可能导致尘肺病易感性。需要进一步分析来验证结果。