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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
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.
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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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