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Mendelian Randomization Identifies Putative Aging‐Related Causal Genes With Diagnostic Potential in Ulcerative Colitis

孟德尔随机化 全基因组关联研究 生物 转录组 表达数量性状基因座 免疫衰老 基因 遗传学 衰老 基因表达谱 基因表达 单核苷酸多态性 免疫系统 基因型 遗传变异
作者
Qi Zhao,Xiangfei Sun,Ying Jiang,Qi Liu,Di Zhang
出处
期刊:Annals of Human Genetics [Wiley]
卷期号:89 (6): 415-424 被引量:1
标识
DOI:10.1111/ahg.12600
摘要

BACKGROUND: Aging-related immunosenescence increases the risk of ulcerative colitis (UC), and investigating aging-related causal genes in UC patients may aid in deciphering the molecular pathophysiology of UC. This study aims to identify aging-related causal genes and explore their diagnostic value and underlying mechanisms in UC. METHODS AND MATERIALS: Colonic transcriptome data, aging-related genes, genome-wide association studies (GWAS) data, and cis-expression quantitative trait loci (cis-eQTL) data were collected from databases. Aging-related differentially expressed genes (ARDEGs) were identified, and functional enrichment analysis was performed. Summary-data-based Mendelian randomization (SMR) analysis and validation were performed to identify putative aging-related causal genes (PARCGs). The expression levels and diagnostic efficacies of the PARCGs were evaluated and validated. Their correlations with immune infiltration were explored. RESULTS: 371 ARDEGs were identified that were mainly involved in biological functions related to immunity, inflammation, and senescence. Through SMR, five genes (IRF1, CTSB, IL24, ME2, ERBB2) were first selected as latent aging-related causal genes (LARCGs), and their expression levels were causally correlated with the risk of UC (IRF1, OR: 3.23, 95% CI: 1.80-5.77; CTSB, OR: 1.30, 95% CI: 1.14-1.47; IL24, OR: 1.66, 95% CI: 1.24-2.22; ME2, OR: 0.75, 95% CI: 0.63-0.89; ERBB2, OR: 0.21, 95% CI: 0.10-0.45). By replicating SMR analysis using the two additional UC GWAS data, three PARCGs (IRF1, ME2, ERBB2) were further determined. IRF1 was upregulated, while ME2 and ERBB2 were downregulated in UC, and all three PARCGs showed diagnostic potential for UC. Furthermore, correlation analysis revealed multiple correlations between the PARCGs and immune cells. CONCLUSION: We identified three aging-related genes (IRF1, ME2, ERBB2) through SMR for the first time that are causally correlated to the risk of UC. Further analysis revealed their diagnostic potential and explored their correlation with immune infiltration in UC.
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