Please Cite:

Cell fraction eQTL and cell type interaction eQTL studies (Sheng, X. et al., Nature Genetics, 2021.):

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 eQTL Meta-analysis(Sample size N = 686) (Liu, H. et al.):

Liu, H. et al. Kidney epigenome and transcriptome-based multi-stage prioritization defines core cell types, genes and targetable mechanisms for kidney disease.

Bulk eQTL study (Qiu, C. et al., Nature Medicine, 2018):

Qiu, C. et al. Renal compartment–specific genetic variation analyses identify new pathways in chronic kidney disease. Nature medicine 24, 1721 (2018).