| Title: | GWAS studies for kidney-related traits using UKBB data. |
| Lead Institution: | Columbia University |
| Principal investigator: | Dr Ali Gharavi |
Application 41849
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About
Chronic kidney disease affects a large number of individuals worldwide. Chronic kidney disease frequently progresses to end stage renal failure requiring lifetime dialysis or kidney transplantation. Despite significant public health impact and high costs of dialysis and transplantation, the progress in identifying molecular causes of CKD has been slow, and targeted therapies for specific types of CKD are largely missing. We propose to accelerate genetic discovery in the kidney disease filed by combining GWAS datasets across multiple studies and cohorts, including UKBB. By including UKBB dataset in several ongoing gene mapping efforts for kidney-related traits, we hope to be able to quickly replicate new genetic findings, enhance discovery efforts for some phenotypes, examine associations of the new loci with other non-kidney traits, and examine global genetic correlations between kidney and non-kidney related diseases.4 Publications
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 11082 | BIGKnock: fine-mapping gene-based associations via knockoff analysis of biobank-scale data | Shiyang Ma (+7) | 2023 | Genome Biology |
| 7403 | Cystatin C is associated with adverse COVID-19 outcomes in diverse populations | Sam O. Kleeman (+13) | 2022 | iScience |
| 12749 | Genome-wide discovery for biomarkers using quantile regression at biobank scale | Chen Wang (+5) | 2024 | Nature Communications |
| 9165 | Polygenic risk alters the penetrance of monogenic kidney disease | Atlas Khan (+7) | 2023 | Nature Communications |
Enabling scientific discoveries that improve human health