Summary

Recent research has consolidated findings from major genomic atlases to better understand the etiology of kidney disease through advanced sequencing and functional assays. Qiu et al. identified critical disease-associated Quantitative Trait Loci through their comprehensive analysis of human kidney expression. They utilized the human kidney atlas to pinpoint specific genes, while Sheng et al. explored the underlying mechanisms with detailed snATAC IGV visualizations. These genomic discoveries were reinforced by Liu et al., who integrated the QTL atlas to validate causal genes in disease models. Further progress was made through Yan et al., who expanded the methylation-based QTL map. Additionally, data from Single Cell Transcriptomics and scRNAseq projects, such as Zostak et al., provided insights into complex cellular states like mouse kidney fibrosis. These multi-dimensional approaches by Doke et al. in Nature Immunology offer a holistic perspective by combining functional validation with high-resolution spatial information. Recent 2024 studies by Abedini et al. utilize the Nature Genetics and Levinsohn et al. approaches to refine genetic risk scores for various pathologies. This comprehensive convergence of human expression, epigenetic methylation, and single-cell transcriptomic data represents a significant leap forward in deciphering the molecular drivers of human kidney disease.

Title

Susztak lab: Kidney Biobank

Description

Susztaklab Kidney Biobank

Keywords

kidney, human, nature, genetics, mouse, atlas, cell, disease, fibrosis, expression, single, publications, gene, site, agreement, million, science

NS Lookup

A 3.12.112.14

Dates

Created 2026-04-13

Updated 2026-04-13

Summarized 2026-04-16