| License: Creative Commons Attribution 4.0 PDF - Published Version (5MB) |
- URN to cite this document:
- urn:nbn:de:bvb:355-epub-524308
- DOI to cite this document:
- 10.5283/epub.52430






Item type: | Article | ||||
---|---|---|---|---|---|
Journal or Publication Title: | Communications Biology | ||||
Publisher: | Springer | ||||
Volume: | 5 | ||||
Page Range: | art.no.580 | ||||
Date: | 13 June 2022 | ||||
Institutions: | Medicine > Abteilung für Nephrologie Medicine > Lehrstuhl für Klinische Chemie und Laboratoriumsmedizin Medicine > Institut für Epidemiologie und Präventivmedizin Medicine > Institut für Epidemiologie und Präventivmedizin > Lehrstuhl für Genetische Epidemiologie | ||||
Identification Number: |
| ||||
Dewey Decimal Classification: | 600 Technology > 610 Medical sciences Medicine | ||||
Status: | Published | ||||
Refereed: | Yes, this version has been refereed | ||||
Created at the University of Regensburg: | Partially | ||||
Item ID: | 52430 |
Abstract
Reduced glomerular filtration rate (GFR) can progress to kidney failure. Risk factors include genetics and diabetes mellitus (DM), but little is known about their interaction. We conducted genome-wide association meta-analyses for estimated GFR based on serum creatinine (eGFR), separately for individuals with or without DM (nDM = 178,691, nnoDM = 1,296,113). Our genome-wide searches identified ...

Abstract
Reduced glomerular filtration rate (GFR) can progress to kidney failure. Risk factors include genetics and diabetes mellitus (DM), but little is known about their interaction. We conducted genome-wide association meta-analyses for estimated GFR based on serum creatinine (eGFR), separately for individuals with or without DM (nDM = 178,691, nnoDM = 1,296,113). Our genome-wide searches identified (i) seven eGFR loci with significant DM/noDM-difference, (ii) four additional novel loci with suggestive difference and (iii) 28 further novel loci (including CUBN) by allowing for potential difference. GWAS on eGFR among DM individuals identified 2 known and 27 potentially responsible loci for diabetic kidney disease. Gene prioritization highlighted 18 genes that may inform reno-protective drug development. We highlight the existence of DM-only and noDM-only effects, which can inform about the target group, if respective genes are advanced as drug targets. Largely shared effects suggest that most drug interventions to alter eGFR should be effective in DM and noDM
Metadata last modified: 22 Dec 2022 14:08