Dataset
All CKDGen GWAS datasets draw upon overlapping sample sets.
Publications
Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria.
Teumer A, et al.
Nat Commun. 2019 Sep 11;10(1):4130. doi: 10.1038/s41467-019-11576-0
Dataset phenotypes
- urinary albumin-to-creatinine ratio
Dataset subjects
| Samples | Cohort | Ancestry |
|---|---|---|
| 540 | African American-Diabetes Heart Study (AA-DHS) | African American |
| 1,948 | Atherosclerosis Risk in Communities study (ARIC) | African American |
| 503 | Cardiovascular Health Study (CHS) | African American |
| 1,941 | Jackson Heart Study (JHS) | African American |
| 1,598 | Multi-Ethnic Study of Atherosclerosis (MESA) | African American |
| 265 | Vanderbilt BioVU (Vanderbilt-AA1M) | African American |
Project
The Chronic Kidney Disease Genetics Consortium (CKDGen) is a consortium of researchers investigating genetic loci associated with kidney function and disease.
Experiment summary
Summary meta-analysis data are provided for urinary albumin-to-creatinine ratio. All subjects in this analysis were of African American ancestry. These subjects are also included in the dataset "CKDGen GWAS - UACR associations".
Dataset ID
GWAS_CKDGenConsortiumUACR_aa