Functional mechanisms for diabetic nephropathy-associated genetic variants

被引:4
作者
Gong, Chengxin [5 ]
Xu, Yonghu [4 ]
Fan, Yongfang [4 ]
Liu, Xingzi [4 ]
Xiong, Chaopeng [2 ]
He, Luling [1 ]
Liu, Changle [1 ]
Rao, Shenqiang [1 ]
Xiao, Wen [3 ]
Ding, Lu [4 ]
Tang, Lan [4 ]
Hu, Fangfang [4 ]
Xiong, Mengqi [4 ]
Yang, Mei [4 ]
Liang, Shangdong [1 ]
Xu, Hong [1 ]
机构
[1] Nanchang Univ, Dept Physiol, JiangXi Med Coll, 461 Bayi Rd, Nanchang, Jiangxi, Peoples R China
[2] Nanchang Univ, Fuzhou Med Coll, Dept Nursing, Fuzhou, Jiangxi, Peoples R China
[3] Nanchang Univ, Jiangxi Med Coll, Dept Pathol, Nanchang, Jiangxi, Peoples R China
[4] Nanchang Univ, Jiangxi Med Coll, Dept Clin Med, Nanchang, Jiangxi, Peoples R China
[5] China Pharmaceut Univ, Sch Life Sci & Technol, Nanjing, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Functional mechanism; Integrative analysis; eQTL; Diabetic nephropathy; SNP; GENOME-WIDE ASSOCIATION; SUSCEPTIBILITY; ALLELES; DISEASE; GOKIND;
D O I
10.1007/s13258-016-0415-5
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Diabetic nephropathy (DN) is one of the major complications of diabetes. A tremendous amount of genetic variations have been identified to be associated with DN. However, most of them only generate from statistical associations at the DNA level, generally without direct functional evidence regarding their association mechanisms underlying DN. Based on the publicly available datasets and resources, this study performed integrative analyses (expression quantitative trait loci analysis, differential gene expression analysis and functional prediction analysis) to detect the molecular functional mechanisms underlying the associations for DN. Among 150 selected (P < E-4) genetic associations that were archived in the public databases, two single nucleotide polymorphisms (SNPs) (rs3135377 and rs9469220) have been found to act as cis-effect regulators of the "identified" gene (HLA-DRA and HLA-DRB1). These eQTL genes have differential expression signals in the DN-associated cell groups. These SNPs were predicted as regulatory sites by utilizing online prediction tools. Our data suggest potential mechanistic links underlying the association between DN and two identified SNPs. These results could help us to have a deeper understanding of the functional relevance of genetic variants with susceptibility to DN, which is useful for pursuit of in-depth validation studies to dissect their involvements and molecular functional mechanisms in DN.
引用
收藏
页码:595 / 600
页数:6
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