The Kidney Tissue Atlas Ontology (KTAO) is an ontology that integrates kidney-related cell types, cell states, locations, gene markers, disease, etc., and their relations.
KTAO is developed to support the NIH-NIDDK-funed Kidney Precision Medicine Project (KPMP, http://kpmp.org). The KTAO development is also supported by the KPMP project.
This GitHub website is the home page of KTAO.
Note: KTAO is developed simultaneously with the community-based [Ontology of Precision Medicine and Investigation (OPMI)] (https://github.com/OPMI/opmi). KTAO and OPMI are complementary with each other. OPMI includes many precision medicine-related terms that are general and can be used in KTAO and beyond KTAO. KTAO is developed with more kidney-specific information. To support kidney-specific KPMP tasks, KTAO also imports related terms from OPMI.
- Y. Oliver He
- Edison Ong
- Jie Zheng
- Yingtong Liu
- Ghida Arnous
- Lia Papageorge
- Jennifer Schaub
- Nikki Bonevich
- Eric Ling Wan
- Sean Mooney
- Becky Steck
- Michael Todd Valerius
Contributors: George Oliver, Matthias Kretzler, Chrysta Lienczewski, Deborah Hoshizaki, Evren Azeloglu, John F. Bertram, Jonathan Himmelfarb, Laura Mariani, Ravi Iyengar, Ulysses Balis, John O'Toole, and The KPMP Consortium.
Use the following URI to download this ontology
Note that the source ontology is an OWL file.
- In BioPortal: https://bioportal.bioontology.org/ontologies/KTAO
- In Ontobee: http://www.ontobee.org/ontology/KTAO
- HPO: We contributed >300 kidney related terms to HPO.
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He YO, Barisoni L, Rosenberg AZ, Robinson P, Diehl AD, Chen Y, Phuong J, Hansen J, Herr Ii BW, Börner K, Schaub J, Bonevich N, Arnous G, Boddapati S, Zheng J, Alakwaa F, Sardar P, Duncan WD, Liang C, Valerius MT, Jain S, Iyengar R, Himmelfarb J, Kretzler M; Kidney Precision Medicine Project. Ontology-based modeling, integration, and analysis of heterogeneous clinical, pathological, and molecular kidney data for precision medicine. AMIA Annu Symp Proc. 2025 May 22:2024:523-532. eCollection 2024. PMID: 40417545. PMCID: PMC12099421. (note: this talk in AMIA 2024 was awarded as one Best Presentation Award.)
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Ong E, Wang LL, Schaub J, O'Toole JF, Steck B, Rosenberg AZ, Dowd F, Hansen J, Barisoni L, Jain S, de Boer IH, Valerius MT, Waikar SS, Park C, Crawford DC, Alexandrov T, Anderton CR, Stoeckert C, Weng C, Diehl AD, Mungall CJ, Haendel M, Robinson PN, Himmelfarb J, Iyengar R, Kretzler M, Mooney S, and He Y, Kidney Precision Medicine Project. Modeling Kidney Disease Using Ontology: Perspectives from the KPMP. Nature Review Nephrology. 2020 Sep 16. doi: 10.1038/s41581-020-00335-w. Online ahead of print. PMID: 32939051.
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He Y, Steck B, Ong E, Mariani L, Lienczewski C, Balis U, Kretzler M, Himmelfarb J, Bertram JF, Azeloglu E, Iyengar R, Hoshizaki D, Mooney SD, for the KPMP Consortium. KTAO: A kidney tissue atlas ontology to support community-based kidney knowledge base development and data integration. International Conference on Biomedical Ontology 2018 (ICBO-2018), August 7-10, 2018, Corvallis, Oregon, USA. Full length paper. Pages 1-6. URL: http://ceur-ws.org/Vol-2285/ICBO_2018_paper_28.pdf .