Gabriel B. Loeb, Pooja Kathail, Richard W. Shuai, Ryan Chung, Reinier J. Grona, Sailaja Peddada, Volkan Sevim, Scot Federman, Karl Mader, Audrey Y. Chu, Jonathan Davitte, Juan Du, Alexander R. Gupta, Chun Jimmie Ye, Shawn Shafer, Laralynne Przybyla, Radu Rapiteanu, Nilah M. Ioannidis, Jeremy F. Reiter
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引用次数: 0
Abstract
Kidney failure, the decrease of kidney function below a threshold necessary to support life, is a major cause of morbidity and mortality. We performed a genome-wide association study (GWAS) of 406,504 individuals in the UK Biobank, identifying 430 loci affecting kidney function in middle-aged adults. To investigate the cell types affected by these loci, we integrated the GWAS with human kidney candidate cis-regulatory elements (cCREs) identified using single-cell assay for transposase-accessible chromatin sequencing (scATAC–seq). Overall, 56% of kidney function heritability localized to kidney tubule epithelial cCREs and an additional 7% to kidney podocyte cCREs. Thus, most heritable differences in adult kidney function are a result of altered gene expression in these two cell types. Using enhancer assays, allele-specific scATAC–seq and machine learning, we found that many kidney function variants alter tubule epithelial cCRE chromatin accessibility and function. Using CRISPRi, we determined which genes some of these cCREs regulate, implicating NDRG1, CCNB1 and STC1 in human kidney function. Integration of genome-wide association analysis of 406,504 individuals in the UK Biobank and scATAC–seq data reveals that variants in tubule epithelial regulatory elements mediate most heritable differences in human kidney function.
期刊介绍:
Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human and plant traits and on other model organisms. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation.
Integrative genetic topics comprise, but are not limited to:
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-Molecular analysis of simple and complex genetic traits
-Cancer genetics
-Agricultural genomics
-Developmental genetics
-Regulatory variation in gene expression
-Strategies and technologies for extracting function from genomic data
-Pharmacological genomics
-Genome evolution