表达数量性状基因座
全基因组关联研究
肾脏疾病
生物
数量性状位点
计算生物学
基因
遗传学
单核苷酸多态性
内分泌学
基因型
作者
Chengxiang Qiu,Shizheng Huang,Jihwan Park,YoSon Park,Yi-An Ko,Matthew J. Seasock,Joshua S. Bryer,Xiang‐Xi Xu,Wen-Chao Song,Matthew Palmer,Jon Hill,Paolo Guarnieri,Julie A. Hawkins,Carine M. Boustany‐Kari,Steven S. Pullen,Christopher D. Brown,Katalin Suszták
出处
期刊:Nature Medicine
[Nature Portfolio]
日期:2018-09-25
卷期号:24 (11): 1721-1731
被引量:211
标识
DOI:10.1038/s41591-018-0194-4
摘要
Chronic kidney disease (CKD), a condition in which the kidneys are unable to clear waste products, affects 700 million people globally. Genome-wide association studies (GWASs) have identified sequence variants for CKD; however, the biological basis of these GWAS results remains poorly understood. To address this issue, we created an expression quantitative trait loci (eQTL) atlas for the glomerular and tubular compartments of the human kidney. Through integrating the CKD GWAS with eQTL, single-cell RNA sequencing and regulatory region maps, we identified novel genes for CKD. Putative causal genes were enriched for proximal tubule expression and endolysosomal function, where DAB2, an adaptor protein in the TGF-β pathway, formed a central node. Functional experiments confirmed that reducing Dab2 expression in renal tubules protected mice from CKD. In conclusion, compartment-specific eQTL analysis is an important avenue for the identification of novel genes and cellular pathways involved in CKD development and thus potential new opportunities for its treatment.
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