优势比
特发性肺纤维化
医学
等位基因
病例对照研究
遗传学
遗传变异
置信区间
疾病
遗传关联
基因型
全基因组关联研究
基因
生物信息学
生物
内科学
单核苷酸多态性
肺
作者
Camille M. Moore,Rachel Z. Blumhagen,Ivana V. Yang,Avram Walts,Julie Powers,Tarik Walker,Makenna Bishop,Pamela Russell,Brian Vestal,Jonathan Cardwell,Cheryl Markin,Susan Mathai,Marvin I. Schwarz,Mark P. Steele,Joyce Lee,Kevin K. Brown,James E. Loyd,James D. Crapo,Edwin K. Silverman,Michael H. Cho
标识
DOI:10.1164/rccm.201810-1891oc
摘要
Rationale: Several common and rare genetic variants have been associated with idiopathic pulmonary fibrosis, a progressive fibrotic condition that is localized to the lung. Objectives: To develop an integrated understanding of the rare and common variants located in multiple loci that have been reported to contribute to the risk of disease. Methods: We performed deep targeted resequencing (3.69 Mb of DNA) in cases (n = 3,624) and control subjects (n = 4,442) across genes and regions previously associated with disease. We tested for associations between disease and 1) individual common variants via logistic regression and 2) groups of rare variants via sequence kernel association tests. Measurements and Main Results: Statistically significant common variant association signals occurred in all 10 of the regions chosen based on genome-wide association studies. The strongest risk variant is the MUC5B promoter variant rs35705950, with an odds ratio of 5.45 (95% confidence interval, 4.91-6.06) for one copy of the risk allele and 18.68 (95% confidence interval, 13.34-26.17) for two copies of the risk allele (P = 9.60 × 10-295). In addition to identifying for the first time that rare variation in FAM13A is associated with disease, we confirmed the role of rare variation in the TERT and RTEL1 gene regions in the risk of IPF, and found that the FAM13A and TERT regions have independent common and rare variant signals. Conclusions: A limited number of common and rare variants contribute to the risk of idiopathic pulmonary fibrosis in each of the resequencing regions, and these genetic variants focus on biological mechanisms of host defense and cell senescence.
科研通智能强力驱动
Strongly Powered by AbleSci AI