Susztaklab Human Kidney eQTL Atlas

I’d like to share a kidney eQTL data. 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.

Susztak lab: eQTL Atlas

Hi @Shicheng_Guo and thank you for your question!

We ingest eQTL data from the eQTL Catalogue. I have contacted the team to find out if they plan to include the sumstats in their catalogue.

Thank you very much for sharing, I will keep you posted on any updates.
Irene