TY - JOUR
T1 - Modelling kidney disease using ontology
T2 - insights from the Kidney Precision Medicine Project
AU - Kidney Precision Medicine Project
AU - Ong, Edison
AU - Wang, Lucy L.
AU - Schaub, Jennifer
AU - O’Toole, John F.
AU - Steck, Becky
AU - Rosenberg, Avi Z.
AU - Dowd, Frederick
AU - Hansen, Jens
AU - Barisoni, Laura
AU - Jain, Sanjay
AU - de Boer, Ian H.
AU - Valerius, M. Todd
AU - Waikar, Sushrut S.
AU - Park, Christopher
AU - Crawford, Dana C.
AU - Alexandrov, Theodore
AU - Anderton, Christopher R.
AU - Stoeckert, Christian
AU - Weng, Chunhua
AU - Diehl, Alexander D.
AU - Mungall, Christopher J.
AU - Haendel, Melissa
AU - Robinson, Peter N.
AU - Himmelfarb, Jonathan
AU - Iyengar, Ravi
AU - Kretzler, Matthias
AU - Mooney, Sean
AU - He, Yongqun
N1 - Publisher Copyright:
© 2020, Springer Nature Limited.
PY - 2020/11/1
Y1 - 2020/11/1
N2 - An important need exists to better understand and stratify kidney disease according to its underlying pathophysiology in order to develop more precise and effective therapeutic agents. National collaborative efforts such as the Kidney Precision Medicine Project are working towards this goal through the collection and integration of large, disparate clinical, biological and imaging data from patients with kidney disease. Ontologies are powerful tools that facilitate these efforts by enabling researchers to organize and make sense of different data elements and the relationships between them. Ontologies are critical to support the types of big data analysis necessary for kidney precision medicine, where heterogeneous clinical, imaging and biopsy data from diverse sources must be combined to define a patient’s phenotype. The development of two new ontologies — the Kidney Tissue Atlas Ontology and the Ontology of Precision Medicine and Investigation — will support the creation of the Kidney Tissue Atlas, which aims to provide a comprehensive molecular, cellular and anatomical map of the kidney. These ontologies will improve the annotation of kidney-relevant data, and eventually lead to new definitions of kidney disease in support of precision medicine.
AB - An important need exists to better understand and stratify kidney disease according to its underlying pathophysiology in order to develop more precise and effective therapeutic agents. National collaborative efforts such as the Kidney Precision Medicine Project are working towards this goal through the collection and integration of large, disparate clinical, biological and imaging data from patients with kidney disease. Ontologies are powerful tools that facilitate these efforts by enabling researchers to organize and make sense of different data elements and the relationships between them. Ontologies are critical to support the types of big data analysis necessary for kidney precision medicine, where heterogeneous clinical, imaging and biopsy data from diverse sources must be combined to define a patient’s phenotype. The development of two new ontologies — the Kidney Tissue Atlas Ontology and the Ontology of Precision Medicine and Investigation — will support the creation of the Kidney Tissue Atlas, which aims to provide a comprehensive molecular, cellular and anatomical map of the kidney. These ontologies will improve the annotation of kidney-relevant data, and eventually lead to new definitions of kidney disease in support of precision medicine.
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U2 - 10.1038/s41581-020-00335-w
DO - 10.1038/s41581-020-00335-w
M3 - Review article
C2 - 32939051
AN - SCOPUS:85091172639
SN - 1759-5061
VL - 16
SP - 686
EP - 696
JO - Nature Reviews Nephrology
JF - Nature Reviews Nephrology
IS - 11
ER -