Li Junyi, Yuan Xiucheng, March Michael E, Yao Xueming, Sun Yan, Chang Xiao, Hakonarson Hakon, Xia Qianghua, Meng Xinyi, Li Jin
Department of Cell Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, Tianjin Medical University, Tianjin, China.
Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
Front Genet. 2019 Mar 27;10:181. doi: 10.3389/fgene.2019.00181. eCollection 2019.
Juvenile idiopathic arthritis (JIA) is the most common chronic rheumatic disease among children which could cause severe disability. Genomic studies have discovered substantial number of risk loci for JIA, however, the mechanism of how these loci affect JIA development is not fully understood. Neutrophil is an important cell type involved in autoimmune diseases. To better understand the biological function of genetic loci in neutrophils during JIA development, we took an integrated multi-omics approach to identify target genes at JIA risk loci in neutrophils and constructed a protein-protein interaction network via a machine learning approach. We identified genes likely to be JIA risk loci targeted genes in neutrophils which could contribute to JIA development.
幼年特发性关节炎(JIA)是儿童中最常见的慢性风湿性疾病,可导致严重残疾。基因组研究已经发现了大量JIA的风险基因座,然而,这些基因座如何影响JIA发展的机制尚未完全了解。中性粒细胞是参与自身免疫性疾病的一种重要细胞类型。为了更好地理解JIA发展过程中中性粒细胞中基因座的生物学功能,我们采用了综合多组学方法来鉴定中性粒细胞中JIA风险基因座的靶基因,并通过机器学习方法构建了蛋白质-蛋白质相互作用网络。我们鉴定出了可能是中性粒细胞中JIA风险基因座靶基因的基因,这些基因可能促成JIA的发展。