Details

Autor(en) / Beteiligte

• Hellwege, Jacklyn N.
• Velez Edwards, Digna R.
• Giri, Ayush
• Qiu, Chengxiang
• Park, Jihwan
• Torstenson, Eric S.
• Keaton, Jacob M.
• Wilson, O. D.
• Robinson-Cohen, Cassianne
• Chung, Cecilia P.
• Roumie, Christianne L.
• Klarin, Derek
• Damrauer, Scott M.
• DuVall, Scott L.
• Siew, Edward
• Akwo, Elvis A.
• Wuttke, Matthias
• Gorski, Mathias
• Li, Man
• Li, Yong
• Gaziano, J. Michael
• Wilson, Peter W. F.
• Tsao, Philip S.
• O’Donnell, Christopher J.
• Kovesdy, Csaba P.
• Pattaro, Cristian
• Köttgen, Anna
• Susztak, Katalin
• Edwards, Todd L.
• Hung, Adriana M.

Titel

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

Ist Teil von

• Nature communications, 2019-08, Vol.10 (1), p.3842-11, Article 3842

Ort / Verlag

London: Nature Publishing Group UK

Erscheinungsjahr

2019

Quelle

Electronic Journals Library

Beschreibungen/Notizen

• 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. 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.