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Mapping eGFR loci to the renal transcriptome and phenome in the VA Million Veteran Program

Authors :
Cecilia P. Chung
Edward D. Siew
Elvis A. Akwo
Cristian Pattaro
Yong Li
Philip S. Tsao
Derek Klarin
Peter W.F. Wilson
Man Li
Scott L. DuVall
Anna Köttgen
Jacob M. Keaton
Jacklyn N. Hellwege
Adriana M. Hung
Chengxiang Qiu
Mathias Gorski
J. Michael Gaziano
Matthias Wuttke
Scott M. Damrauer
Katalin Susztak
Todd L. Edwards
Christianne L. Roumie
Otis D. Wilson
Christopher J. O'Donnell
Csaba P. Kovesdy
Digna R. Velez Edwards
Ayush Giri
Eric S. Torstenson
Jihwan Park
Cassianne Robinson-Cohen
Source :
Nature Communications, Vol 10, Iss 1, Pp 1-11 (2019), Nature Communications
Publication Year :
2019
Publisher :
Springer Science and Business Media LLC, 2019.

Abstract

Chronic kidney disease (CKD), defined by low estimated glomerular filtration rate (eGFR), contributes to global morbidity and mortality. Here we conduct a transethnic Genome-Wide Association Study of eGFR in 280,722 participants of the Million Veteran Program (MVP), with replication in 765,289 participants from the Chronic Kidney Disease Genetics (CKDGen) Consortium. We identify 82 previously unreported variants, confirm 54 loci, and report interesting findings including association of the sickle cell allele of betaglobin among non-Hispanic blacks. Our transcriptome-wide association study of kidney function in healthy kidney tissue identifies 36 previously unreported and nine known genes, and maps gene expression to renal cell types. In a Phenome-Wide Association Study in 192,868 MVP participants using a weighted genetic score we detect associations with CKD stages and complications and kidney stones. This investigation reinterprets the genetic architecture of kidney function to identify the gene, tissue, and anatomical context of renal homeostasis and the clinical consequences of dysregulation.<br />Persistently low levels of estimated glomerular filtration rate (eGFR) are a biomarker of chronic kidney disease. Here, the authors reinterpret the genetic architecture of kidney function across ancestries, to identify not only genes, but the tissue and anatomical contexts of renal homeostasis.

Details

ISSN :
20411723
Volume :
10
Database :
OpenAIRE
Journal :
Nature Communications
Accession number :
edsair.doi.dedup.....37e9494f5b0452276c73654ba4d9f13b
Full Text :
https://doi.org/10.1038/s41467-019-11704-w