pgen.1010599.g001.tif (287.1 kB)
Download file

Association analysis of chronic kidney disease (CKD).

Download (287.1 kB)
posted on 2023-01-24, 18:34 authored by Frode Lingaas, Katarina Tengvall, Johan Høgset Jansen, Lena Pelander, Maria H. Hurst, Theo Meuwissen, Åsa Karlsson, Jennifer R. S. Meadows, Elisabeth Sundström, Stein Istre Thoresen, Ellen Frøysadal Arnet, Ole Albert Guttersrud, Marcin Kierczak, Marjo K. Hytönen, Hannes Lohi, Åke Hedhammar, Kerstin Lindblad-Toh, Chao Wang

(A) Manhattan plot of absolute SNP effect from BayesR analysis. The top 50 markers (green dots) with the highest effect were selected as candidates. 21 CKD regions were identified when merging linkage disequilibrium blocks of candidate markers. Genes relevant to kidney development or human disease were exhibited near the CKD region. (B) Risk allele frequency at the top marker from each of 21 CKD regions in cases (red) and controls (blue). Based on coordinates, appendix (1), (2), and (3) were added for the markers from the same chromosome. (C) Distribution of risk allele load for the cases (red) and controls (blue). On average, the cases carried 20.2 risk alleles, which is 4.6 higher than the controls (grey dash lines indicated the average load for cases and controls).