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Renal compartment-specific genetic variation analyses identify new pathways in chronic kidney disease
Chronic kidney disease (CKD), a condition when the kidneys are unable to clear waste products, affects 700 million people globally. Genome-wide association (GWA) studies identified sequence variants for CKD; however, the biological basis of GWAS remains poorly understood. To address this issue, we c...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6301011/ https://www.ncbi.nlm.nih.gov/pubmed/30275566 http://dx.doi.org/10.1038/s41591-018-0194-4 |
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author | Qiu, Chengxiang Huang, Shizheng Park, Jihwan Park, YoSon Ko, Yi-An Seasock, Matthew J. Bryer, Joshua S. Xu, Xiang-Xi Song, Wen-Chao Palmer, Matthew Hill, Jon Guarnieri, Paolo Hawkins, Julie Boustany-Kari, Carine M. Pullen, Steven S. Brown, Christopher D. Susztak, Katalin |
author_facet | Qiu, Chengxiang Huang, Shizheng Park, Jihwan Park, YoSon Ko, Yi-An Seasock, Matthew J. Bryer, Joshua S. Xu, Xiang-Xi Song, Wen-Chao Palmer, Matthew Hill, Jon Guarnieri, Paolo Hawkins, Julie Boustany-Kari, Carine M. Pullen, Steven S. Brown, Christopher D. Susztak, Katalin |
author_sort | Qiu, Chengxiang |
collection | PubMed |
description | Chronic kidney disease (CKD), a condition when the kidneys are unable to clear waste products, affects 700 million people globally. Genome-wide association (GWA) studies identified sequence variants for CKD; however, the biological basis of GWAS 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. 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 endo-lysosomal function, where DAB2, an adaptor protein in the TGFβ 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. |
format | Online Article Text |
id | pubmed-6301011 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
record_format | MEDLINE/PubMed |
spelling | pubmed-63010112019-04-01 Renal compartment-specific genetic variation analyses identify new pathways in chronic kidney disease Qiu, Chengxiang Huang, Shizheng Park, Jihwan Park, YoSon Ko, Yi-An Seasock, Matthew J. Bryer, Joshua S. Xu, Xiang-Xi Song, Wen-Chao Palmer, Matthew Hill, Jon Guarnieri, Paolo Hawkins, Julie Boustany-Kari, Carine M. Pullen, Steven S. Brown, Christopher D. Susztak, Katalin Nat Med Article Chronic kidney disease (CKD), a condition when the kidneys are unable to clear waste products, affects 700 million people globally. Genome-wide association (GWA) studies identified sequence variants for CKD; however, the biological basis of GWAS 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. 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 endo-lysosomal function, where DAB2, an adaptor protein in the TGFβ 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. 2018-10-01 2018-11 /pmc/articles/PMC6301011/ /pubmed/30275566 http://dx.doi.org/10.1038/s41591-018-0194-4 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Qiu, Chengxiang Huang, Shizheng Park, Jihwan Park, YoSon Ko, Yi-An Seasock, Matthew J. Bryer, Joshua S. Xu, Xiang-Xi Song, Wen-Chao Palmer, Matthew Hill, Jon Guarnieri, Paolo Hawkins, Julie Boustany-Kari, Carine M. Pullen, Steven S. Brown, Christopher D. Susztak, Katalin Renal compartment-specific genetic variation analyses identify new pathways in chronic kidney disease |
title | Renal compartment-specific genetic variation analyses identify new
pathways in chronic kidney disease |
title_full | Renal compartment-specific genetic variation analyses identify new
pathways in chronic kidney disease |
title_fullStr | Renal compartment-specific genetic variation analyses identify new
pathways in chronic kidney disease |
title_full_unstemmed | Renal compartment-specific genetic variation analyses identify new
pathways in chronic kidney disease |
title_short | Renal compartment-specific genetic variation analyses identify new
pathways in chronic kidney disease |
title_sort | renal compartment-specific genetic variation analyses identify new
pathways in chronic kidney disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6301011/ https://www.ncbi.nlm.nih.gov/pubmed/30275566 http://dx.doi.org/10.1038/s41591-018-0194-4 |
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