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Novel Susceptibility Genes for Sepsis Revealed by a Cross-Tissue Transcriptome-Wide Association Study

全基因组关联研究 表达数量性状基因座 败血症 生物 遗传关联 转录组 孟德尔随机化 计算生物学 遗传建筑学 数量性状位点 遗传学 生物信息学 基因 单核苷酸多态性 免疫学 基因表达 基因型 遗传变异
作者
Linfeng Tao,Zhu Ning,Yue Zhu,Chao Li,Yiyuan Pan,Yan Chen,Jun Liu
出处
期刊:Shock [Ovid Technologies (Wolters Kluwer)]
标识
DOI:10.1097/shk.0000000000002652
摘要

Abstract Background Sepsis, a life-threatening syndrome triggered by a dysregulated host response to infection, continues to impose a substantial global health burden. Advances in genomics and transcriptomics now enable systematic exploration of sepsis pathogenesis at the genetic level. The integration of genome-wide association studies (GWAS) and transcriptome-wide association studies (TWAS) offers a powerful framework to identify causal genetic variants and delineate molecular mechanisms underlying sepsis susceptibility and clinical outcomes. Methods A cross-tissue TWAS was implemented using UTMOST to integrate sepsis GWAS summary statistics with transcriptomic data from the Genotype-Tissue Expression version 8 (GTEx v8) project. Candidate genes were validated through complementary approaches: FUSION, FOCUS, and MAGMA. Tissue-specific and pathway enrichment analyses were applied to prioritize sepsis-associated genes and characterize their functional roles in disease-relevant biological processes. Bayesian colocalization and two-sample Mendelian randomization (MR) analyses were employed to infer putative causal relationships between prioritized genes and sepsis risk. Results Four genes—ZCCHC4, PDGFB, C18orf54, and ATG4B—demonstrated significant associations with sepsis susceptibility in cross-tissue analyses. Two-sample MR provided evidence for causal effects of genetically regulated expression of these genes on sepsis risk. Bayesian colocalization identified shared causal variants between sepsis-associated loci and expression quantitative trait loci (eQTLs), implicating dysregulation of inflammatory and autophagy pathways in sepsis pathogenesis. Conclusion Our results highlight the efficacy of cross-tissue TWAS in mapping sepsis-associated loci and elucidating the genetic architecture underlying sepsis susceptibility. These prioritized loci constitute compelling targets for functional validation and represent actionable candidates for therapeutic intervention in sepsis.
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