多omics和多阶段集成确定了一种与病风险相关的新型变异
Chunmeng Jin1, Xiaobo Tao2, Wendi Zhang2
1School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Archives of toxicology
|May 29, 2024
概括
在IL12RB1基因中,一种新的遗传标记物rs419540与增加的病风险有关. 这种单核酸多态 (SNP) 可能通过改变IL12RB1基因表达和炎症反应来提高敏感性.
科学领域:
- 遗传学 遗传学 是一个
- 免疫学 免疫学 免疫学
- 职业健康 职业健康 职业健康
背景情况:
- 病是一种严重的肺部疾病,是由粉暴露引起的.
- 识别影响病易感性的遗传因素对于了解疾病机制和制定预防策略至关重要.
研究的目的:
- 评估通过多omics方法识别的单核酸多态 (SNPs) 和病易感性之间的关联.
- 识别和验证导致病风险的新型遗传变异.
主要方法:
- RNA测序 (RNA-seq) 用于在暴露于的小鼠肺组织中识别差异表达的基因.
- 从人类同类的SNP与全基因组关联研究 (GWAS) 数据的整合.
- 使用GTEx数据库进行表达量的特征位置 (eQTL) 分析.
- 病例控制研究,以验证SNP与病的关联.
- 功能性实验评估SNP和基因在纤维化中的作用.
主要成果:
- 在最初的查中,发现了12个eQTL-SNP.
- 在IL12RB1基因中rs419540的T等位基因与增加的症风险显著相关 (OR=1.78,P=0.017在验证中;OR=2.07,P<0.001结合GWAS和验证).
- 功能性实验表明,操纵IL12RB1表达改变了促炎性细胞因子 (例如IL-12,IFN-γ) 的水平.
结论:
- 在IL12RB1中的eQTL-SNP rs419540是一种新的病风险因素.
- 这种SNP可能通过调节IL12RB1表达,从而影响炎症途径,从而增加病风险.
- 这些发现突显了多组和eQTL分析在识别职业肺部疾病易感基因方面的潜力.
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