Multi-scalar data integration decoding risk genes for chronic kidney disease
Our integrated analysis highlight the genes, pathways, and relevant cell types associational with the pathogenesis of kidney traits, as a basis for further mechanistic studies to understand the pathogenesis of CKD.
Authors
- Huimei Chen
- Enrico G. Petretto (ORCID: https://orcid.org/0000-0003-2163-5921)
- Jing Guo (ORCID: https://orcid.org/0000-0002-6399-3877)
- Shiqi Ding
Institutions
- Duke-NUS Medical School (SG)
- NUS High School of Mathematics and Science
- Singapore University of Social Sciences (SG)
Publication Details
- Journal
- BMC Nephrology
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1186/s12882-024-03798-2
- Citations
- 2
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 1.10
Funders
- Medical Research Council
- National Medical Research Council