Mapping the genetic architecture of human traits to cell types in the kidney identifies mechanisms of disease and potential treatments
- PMID: 34385711
- PMCID: PMC9338440
- DOI: 10.1038/s41588-021-00909-9
Mapping the genetic architecture of human traits to cell types in the kidney identifies mechanisms of disease and potential treatments
Abstract
The functional interpretation of genome-wide association studies (GWAS) is challenging due to the cell-type-dependent influences of genetic variants. Here, we generated comprehensive maps of expression quantitative trait loci (eQTLs) for 659 microdissected human kidney samples and identified cell-type-eQTLs by mapping interactions between cell type abundances and genotypes. By partitioning heritability using stratified linkage disequilibrium score regression to integrate GWAS with single-cell RNA sequencing and single-nucleus assay for transposase-accessible chromatin with high-throughput sequencing data, we prioritized proximal tubules for kidney function and endothelial cells and distal tubule segments for blood pressure pathogenesis. Bayesian colocalization analysis nominated more than 200 genes for kidney function and hypertension. Our study clarifies the mechanism of commonly used antihypertensive and renal-protective drugs and identifies drug repurposing opportunities for kidney disease.
© 2021. The Author(s), under exclusive licence to Springer Nature America, Inc.
Conflict of interest statement
Competing interests
The laboratory of Dr. Susztak receives funding from GSK, Regeneron, Gilead, Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, NJ, USA, Boehringer Ingelheim, Bayer and Novo Nordisk. The funders had no influence on the data analysis. Dr. Susztak serves on the SAB of Jnana pharmaceuticals. The remaining authors declare no competing interests.
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Comment in
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Mapping GWAS loci to kidney genes and cell types.Kidney Int. 2022 Mar;101(3):447-450. doi: 10.1016/j.kint.2021.10.026. Epub 2021 Nov 10. Kidney Int. 2022. PMID: 34774560 No abstract available.
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Understanding How Genetic Background Affects Kidney Function at the Single-Cell Level.Am J Kidney Dis. 2022 Apr;79(4):613-615. doi: 10.1053/j.ajkd.2021.11.002. Epub 2021 Dec 3. Am J Kidney Dis. 2022. PMID: 34871702 No abstract available.
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