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 Glomeruli

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 Glomeruli

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.

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)