Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function

ECU Author/Contributor (non-ECU co-authors, if there are any, appear on document)

Ming-Huei Chen (Creator)

Chen (Creator)

Audrey Y. Chu (Creator)

Gary C. Curhan (Creator)

Meredith Foster (Creator)

Maija Garnaas (Creator)

Mathias Gorski (Creator)

Man Li (Creator)

Yong Li (Creator)

Vladan Mijatovic (Creator)

Matthias Olden (Creator)

Cristian Pattaro (Creator)

Rossella Sorice (Creator)

Daniel Taliun (Creator)

Alexander Teumer (Creator)

Adrienne Tin (Creator)

Qiong Yang (Creator)

Institution

East Carolina University (ECU )

Web Site: http://www.ecu.edu/lib/

Abstract: Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways.

Additional Information

Publication

Other

Nature Communications; 7: p. 1-19

Language: English

Date: 2016

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