Human Kidney eQTL Atlas
Mapping the genetic architecture of human traits to cell types in the kidney identifies mechanisms of disease and potential treatments
Summary Statistics of Human Kidney eQTLs by Susztak Lab
Human Kidney eQTL (meta-analysis, sample size N = 686)
Kidney_eQTL_Meta_S686_Significant.q0.01.txt.gz
This table provides 1,179,179 significant SNP~gene pairs identified by a false discovery rate (FDR) threshold of <0.01 (Storey’s q method) after meta-analysis of four eQTL studies (Sheng et al., Ko et al., GTEx, NephQTL).
If use this data, Please cite: Liu et al. Kidney epigenome and transcriptome-based multi-stage prioritization defines core cell types, genes and targetable mechanisms for kidney disease.
Human Kidney eQTLs for Tubule (N=356) and Glomeruli (N=303)
Tubule eQTL (N=356) Glomeruli eQTL (N=303)
These tables provides significant SNP~gene pairs identified in Tubule (N=356) and Glomeruli (N=303) by a false discovery rate (FDR) threshold of <0.05 (Storey’s q method) based on beta distribution-adjusted empirical p-values from FastQTL permutation.
If use this data, Please cite: Sheng, X. et al. Mapping the genetic architecture of human traits to cell types in the kidney identifies mechanisms of disease and potential treatments. (Nature Genetics, 2021)
Human Kidney eQTLs for Tubule (N=121) and Glomeruli (N=119)
Tubule eQTL (N=121) Glomeruli eQTL (N=119)
These tables provide significant SNP~gene pairs identified by a false discovery rate (FDR) threshold of <0.05 (Storey’s q method) based on beta distribution-adjusted empirical p-values from FastQTL permutation.
Tubule eQTL (N=121) Summary statistics of eQTL in Tubule (N=121).
If use this data, please cite: Qiu et al. Mapping the genetic architecture of human traits to cell types in the kidney identifies mechanisms of disease and potential treatments. (Nature Medicine, 2018)