Publication related to the human kidney eQTL atlas:

Please cite following papers:


Kidney eQTL (meta-analysis in 686 individuals) by Liu et al. Nature Genetics 54, 950–962 (2022) eQTL(Meta)

Epigenomic and transcriptomic analyses define core cell types, genes and targetable mechanisms for kidney disease.

Hongbo Liu, Tomohito Doke, Dong Guo, Xin Sheng, Ziyuan Ma, Joseph Park, Ha My T. Vy, Girish N. Nadkarni, Amin Abedini, Zhen Miao, Matthew Palmer, Benjamin F. Voight, Hongzhe Li, Christopher D. Brown, Marylyn D. Ritchie, Yan Shu and Katalin Susztak

Link to the paper: Liu, H. et al., Nature Genetics, 2022

Supplementary Data: Nature Genetics | figshare

Sequencing data on GEO database: GSE200547 | GSE172008

Customized code used in this study: Github


Cell fraction eQTL and cell type interaction eQTL studies by Sheng et al. Nature Genetics 53, 1322–1333 (2021) eQTL(cf) | eQTL(ci)

Mapping the genetic architecture of human traits to cell types in the kidney identifies mechanisms of disease and potential treatments.

Xin Sheng, Yuting Guan, Ziyuan Ma, Junnan Wu, Hongbo Liu, Chengxiang Qiu, Steven Vitale, Zhen Miao, Matthew J. Seasock, Matthew Palmer, Myung K. Shin, Kevin L. Duffin, Steven S. Pullen, Todd L. Edwards, Jacklyn N. Hellwege, Adriana M. Hung, Mingyao Li, Benjamin F. Voight, Thomas M. Coffman, Christopher D. Brown and Katalin Susztak

Link to the paper: Sheng, X. et al., Nature Genetics, 2021

Supplementary Data: Nature Genetics | figshare

Sequencing data on GEO database: GSE173343 | GSE115098 | GSE172008

Customized code used in this study: Github


Bulk eQTL study by Qiu et al. Nature Medicine 24, 1721–1731 (2018) eQTL(b)

Renal compartment–specific genetic variation analyses identify new pathways in chronic kidney disease.

Chengxiang Qiu, Shizheng Huang, Jihwan Park, YoSon Park, Yi-An Ko, Matthew J. Seasock, Joshua S. Bryer, Xiang-Xi Xu, Wen-Chao Song, Matthew Palmer, Jon Hill, Paolo Guarnieri, Julie Hawkins, Carine M. Boustany-Kari, Steven S. Pullen, Christopher D. Brown and Katalin Susztak

Link to the paper: Qiu, C. et al., Nature Medicine, 2018

Supplementary Data: Nature Genetics

Sequencing data on GEO database: GSE115098