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Transcriptome-wide association analysis identifies DACH1 as a kidney disease risk gene that contributes to fibrosis
Tomohito Doke, … , Richard Pestell, Katalin Susztak
Tomohito Doke, … , Richard Pestell, Katalin Susztak
Published May 17, 2021
Citation Information: J Clin Invest. 2021;131(10):e141801. https://doi.org/10.1172/JCI141801.
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Research Article Genetics Nephrology

Transcriptome-wide association analysis identifies DACH1 as a kidney disease risk gene that contributes to fibrosis

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Abstract

Genome-wide association studies (GWAS) for kidney function identified hundreds of risk regions; however, the causal variants, target genes, cell types, and disease mechanisms remain poorly understood. Here, we performed transcriptome-wide association studies (TWAS), summary Mendelian randomization, and MetaXcan to identify genes whose expression mediates the genotype effect on the phenotype. Our analyses identified Dachshund homolog 1 (DACH1), a cell-fate determination factor. GWAS risk variant was associated with lower DACH1 expression in human kidney tubules. Human and mouse kidney single-cell open chromatin data (snATAC-Seq) prioritized estimated glomerular filtration rate (eGFR) GWAS variants located on an intronic regulatory region in distal convoluted tubule cells. CRISPR-Cas9–mediated gene editing confirmed the role of risk variants in regulating DACH1 expression. Mice with tubule-specific Dach1 deletion developed more severe renal fibrosis both in folic acid and diabetic kidney injury models. Mice with tubule-specific Dach1 overexpression were protected from folic acid nephropathy. Single-cell RNA sequencing, chromatin immunoprecipitation, and functional analysis indicated that DACH1 controls the expression of cell cycle and myeloid chemotactic factors, contributing to macrophage infiltration and fibrosis development. In summary, integration of GWAS, TWAS, single-cell epigenome, expression analyses, gene editing, and functional validation in different mouse kidney disease models identified DACH1 as a kidney disease risk gene.

Authors

Tomohito Doke, Shizheng Huang, Chengxiang Qiu, Hongbo Liu, Yuting Guan, Hailong Hu, Ziyuan Ma, Junnan Wu, Zhen Miao, Xin Sheng, Jianfu Zhou, Aili Cao, Jianhua Li, Lewis Kaufman, Adriana Hung, Christopher D. Brown, Richard Pestell, Katalin Susztak

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Figure 1

TWAS and regional association plots for kidney function and DACH1 expression.

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TWAS and regional association plots for kidney function and DACH1 expres...
(A) Conceptual model for TWAS. (B–D) Regional association plots for DACH1 locus (index SNP; rs626277). (B) eGFR GWAS data from CKDGen study. (C) eQTL data in kidney tubules. (D) eQTL data in kidney glomeruli. Each dot represents 1 SNP. The dots are colored according to their relationship to the index SNP (rs626277). The red dots indicate high correlation (r2 > 0.8) (LD) with the index SNP. The left y axis indicates ––log10 (P value). The right y axis indicates recombination rate (cM/Mb). The red dotted horizontal line in the GWAS regional plot indicates the genome-wide significance threshold (5 × 10−8). Local permutation-based P value was used to define significance for the eQTL (tubule; P = 8.5 × 10−6, eQTL glom; P = 1.2 × 10−5). The x axis indicates the genomic location on chromosome 13. The arrow indicates the transcriptional direction for DACH1. (E) Box plot: the x axis represents the SNP (rs626277 genotype A/A, A/C, C/C), and the y axis shows relative DACH1 expression (P = 5.61 × 10–08) in human kidney tubule samples. (F) Effect sizes of eGFR GWAS (CKDGen) SNPs (y axis) were plotted against eQTL SNPs (x axis). Error bars show the standard errors of SNP effects. Significant SNPs in SMR analysis were plotted. Red triangle indicates the top eQTL signal. (G) Venn diagram of TWAS, SMR, and MetaXcan listing the 10 genes prioritized by all 3 methods.

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