Modelling kidney disease using ontology: insights from the Kidney Precision Medicine Project View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2020-09-16

AUTHORS

Edison Ong, Lucy L. Wang, Jennifer Schaub, John F. O’Toole, Becky Steck, Avi Z. Rosenberg, Frederick Dowd, Jens Hansen, Laura Barisoni, Sanjay Jain, Ian H. de Boer, M. Todd Valerius, Sushrut S. Waikar, Christopher Park, Dana C. Crawford, Theodore Alexandrov, Christopher R. Anderton, Christian Stoeckert, Chunhua Weng, Alexander D. Diehl, Christopher J. Mungall, Melissa Haendel, Peter N. Robinson, Jonathan Himmelfarb, Ravi Iyengar, Matthias Kretzler, Sean Mooney, Yongqun He

ABSTRACT

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. More... »

PAGES

686-696

References to SciGraph publications

  • 2000-05. Gene Ontology: tool for the unification of biology in NATURE GENETICS
  • 2012-09-05. An integrated encyclopedia of DNA elements in the human genome in NATURE
  • 2019-09-23. Gene Ontology Causal Activity Modeling (GO-CAM) moves beyond GO annotations to structured descriptions of biological functions and systems in NATURE GENETICS
  • 2013-08-26. EMAP/EMAPA ontology of mouse developmental anatomy: 2013 update in JOURNAL OF BIOMEDICAL SEMANTICS
  • 2013-09-26. The Cancer Genome Atlas Pan-Cancer analysis project in NATURE GENETICS
  • 2016-07-04. The Cell Ontology 2016: enhanced content, modularization, and ontology interoperability in JOURNAL OF BIOMEDICAL SEMANTICS
  • 2013. Ontology Matching in NONE
  • 2018-04-10. An ontological approach to identifying cases of chronic kidney disease from routine primary care data: a cross-sectional study in BMC NEPHROLOGY
  • 2017-12-18. A flexible ontology for inference of emergent whole cell function from relationships between subcellular processes in SCIENTIFIC REPORTS
  • 2013-10-08. The clinical measurement, measurement method and experimental condition ontologies: expansion, improvements and new applications in JOURNAL OF BIOMEDICAL SEMANTICS
  • 2014-07-05. OAE: The Ontology of Adverse Events in JOURNAL OF BIOMEDICAL SEMANTICS
  • 2017-12-21. Ontological representation, integration, and analysis of LINCS cell line cells and their cellular responses in BMC BIOINFORMATICS
  • 2018-12-03. The evaluation of monoclonal gammopathy of renal significance: a consensus report of the International Kidney and Monoclonal Gammopathy Research Group in NATURE REVIEWS NEPHROLOGY
  • 2007-11-07. The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration in NATURE BIOTECHNOLOGY
  • 2014. The Allen Brain Atlas in SPRINGER HANDBOOK OF BIO-/NEUROINFORMATICS
  • 2012-01-31. Uberon, an integrative multi-species anatomy ontology in GENOME BIOLOGY
  • 2020-05-18. Integrated multi-omics approaches to improve classification of chronic kidney disease in NATURE REVIEWS NEPHROLOGY
  • 2019-10-09. The human body at cellular resolution: the NIH Human Biomolecular Atlas Program in NATURE
  • 2016-07-04. The expanding phenotypic spectra of kidney diseases: insights from genetic studies in NATURE REVIEWS NEPHROLOGY
  • 2013-12-18. Building a drug ontology based on RxNorm and other sources in JOURNAL OF BIOMEDICAL SEMANTICS
  • Journal

    TITLE

    Nature Reviews Nephrology

    ISSUE

    11

    VOLUME

    16

    Author Affiliations

  • Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA
  • Allen Institute for Artificial Intelligence, Seattle, WA, USA
  • Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
  • Department of Inflammation and Immunity, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
  • Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
  • UW Medicine Research IT, University of Washington, Seattle, WA, USA
  • Institute for Systems Biomedicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
  • Division of AI/Computational Pathology, Department of Pathology, and Division of Nephrology, Department of Medicine, Duke University, Durham, NC, USA
  • Division of Nephrology, School of Medicine, Washington University in St. Louis, St Louis, MO, USA
  • Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA, USA
  • Division of Renal Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
  • Section of Nephrology, Boston University Medical Center, Boston, MA, USA
  • Kidney Research Institute, University of Washington, Seattle, WA, USA
  • Cleveland Institute for Computational Biology, Cleveland, OH, USA
  • Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA
  • Pacific Northwest National Laboratory, Richland, WA, USA
  • Department of Genetics, Perelman School of Medicine, University of Pennsylvania Philadelphia, Philadelphia, PA, USA
  • Department of Biomedical Informatics, Columbia University, New York, NY, USA
  • Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
  • Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
  • Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR, USA
  • The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
  • Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA
  • Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI, USA
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41581-020-00335-w

    DOI

    http://dx.doi.org/10.1038/s41581-020-00335-w

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1130870374

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/32939051


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Medical and Health Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Clinical Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Atlases as Topic", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Big Data", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Biological Ontologies", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Kidney Diseases", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Phenotype", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Precision Medicine", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA", 
              "id": "http://www.grid.ac/institutes/grid.214458.e", 
              "name": [
                "Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ong", 
            "givenName": "Edison", 
            "id": "sg:person.011563242741.51", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011563242741.51"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Allen Institute for Artificial Intelligence, Seattle, WA, USA", 
              "id": "http://www.grid.ac/institutes/grid.502992.5", 
              "name": [
                "Allen Institute for Artificial Intelligence, Seattle, WA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wang", 
            "givenName": "Lucy L.", 
            "id": "sg:person.01215042246.40", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01215042246.40"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA", 
              "id": "http://www.grid.ac/institutes/grid.214458.e", 
              "name": [
                "Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Schaub", 
            "givenName": "Jennifer", 
            "id": "sg:person.01202410173.48", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01202410173.48"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Inflammation and Immunity, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA", 
              "id": "http://www.grid.ac/institutes/grid.239578.2", 
              "name": [
                "Department of Nephrology and Hypertension, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA", 
                "Department of Inflammation and Immunity, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "O\u2019Toole", 
            "givenName": "John F.", 
            "id": "sg:person.01135657144.73", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01135657144.73"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA", 
              "id": "http://www.grid.ac/institutes/grid.214458.e", 
              "name": [
                "Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Steck", 
            "givenName": "Becky", 
            "id": "sg:person.014567546051.38", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014567546051.38"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Pathology, Johns Hopkins University, Baltimore, MD, USA", 
              "id": "http://www.grid.ac/institutes/grid.21107.35", 
              "name": [
                "Department of Pathology, Johns Hopkins University, Baltimore, MD, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Rosenberg", 
            "givenName": "Avi Z.", 
            "id": "sg:person.01237316475.71", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01237316475.71"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "UW Medicine Research IT, University of Washington, Seattle, WA, USA", 
              "id": "http://www.grid.ac/institutes/grid.34477.33", 
              "name": [
                "UW Medicine Research IT, University of Washington, Seattle, WA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dowd", 
            "givenName": "Frederick", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Institute for Systems Biomedicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA", 
              "id": "http://www.grid.ac/institutes/grid.59734.3c", 
              "name": [
                "Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA", 
                "Institute for Systems Biomedicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hansen", 
            "givenName": "Jens", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Division of AI/Computational Pathology, Department of Pathology, and Division of Nephrology, Department of Medicine, Duke University, Durham, NC, USA", 
              "id": "http://www.grid.ac/institutes/grid.26009.3d", 
              "name": [
                "Division of AI/Computational Pathology, Department of Pathology, and Division of Nephrology, Department of Medicine, Duke University, Durham, NC, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Barisoni", 
            "givenName": "Laura", 
            "id": "sg:person.01242301703.11", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01242301703.11"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Division of Nephrology, School of Medicine, Washington University in St. Louis, St Louis, MO, USA", 
              "id": "http://www.grid.ac/institutes/grid.4367.6", 
              "name": [
                "Division of Nephrology, School of Medicine, Washington University in St. Louis, St Louis, MO, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Jain", 
            "givenName": "Sanjay", 
            "id": "sg:person.01323144003.10", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01323144003.10"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA, USA", 
              "id": "http://www.grid.ac/institutes/grid.34477.33", 
              "name": [
                "Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "de Boer", 
            "givenName": "Ian H.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Division of Renal Medicine, Department of Medicine, Brigham and Women\u2019s Hospital, Boston, MA, USA", 
              "id": "http://www.grid.ac/institutes/grid.62560.37", 
              "name": [
                "Division of Renal Medicine, Department of Medicine, Brigham and Women\u2019s Hospital, Boston, MA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Valerius", 
            "givenName": "M. Todd", 
            "id": "sg:person.01372646157.70", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01372646157.70"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Section of Nephrology, Boston University Medical Center, Boston, MA, USA", 
              "id": "http://www.grid.ac/institutes/grid.239424.a", 
              "name": [
                "Section of Nephrology, Boston University Medical Center, Boston, MA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Waikar", 
            "givenName": "Sushrut S.", 
            "id": "sg:person.01230045363.75", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01230045363.75"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Kidney Research Institute, University of Washington, Seattle, WA, USA", 
              "id": "http://www.grid.ac/institutes/grid.34477.33", 
              "name": [
                "Kidney Research Institute, University of Washington, Seattle, WA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Park", 
            "givenName": "Christopher", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Cleveland Institute for Computational Biology, Cleveland, OH, USA", 
              "id": "http://www.grid.ac/institutes/grid.67105.35", 
              "name": [
                "Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA", 
                "Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, USA", 
                "Cleveland Institute for Computational Biology, Cleveland, OH, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Crawford", 
            "givenName": "Dana C.", 
            "id": "sg:person.01230771225.78", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01230771225.78"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA", 
              "id": "http://www.grid.ac/institutes/grid.266100.3", 
              "name": [
                "Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany", 
                "Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Alexandrov", 
            "givenName": "Theodore", 
            "id": "sg:person.01204640152.10", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01204640152.10"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Pacific Northwest National Laboratory, Richland, WA, USA", 
              "id": "http://www.grid.ac/institutes/grid.451303.0", 
              "name": [
                "Pacific Northwest National Laboratory, Richland, WA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Anderton", 
            "givenName": "Christopher R.", 
            "id": "sg:person.01154745155.77", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01154745155.77"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Genetics, Perelman School of Medicine, University of Pennsylvania Philadelphia, Philadelphia, PA, USA", 
              "id": "http://www.grid.ac/institutes/grid.25879.31", 
              "name": [
                "Department of Genetics, Perelman School of Medicine, University of Pennsylvania Philadelphia, Philadelphia, PA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Stoeckert", 
            "givenName": "Christian", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Biomedical Informatics, Columbia University, New York, NY, USA", 
              "id": "http://www.grid.ac/institutes/grid.21729.3f", 
              "name": [
                "Department of Biomedical Informatics, Columbia University, New York, NY, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Weng", 
            "givenName": "Chunhua", 
            "id": "sg:person.0664551253.05", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0664551253.05"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA", 
              "id": "http://www.grid.ac/institutes/grid.273335.3", 
              "name": [
                "Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Diehl", 
            "givenName": "Alexander D.", 
            "id": "sg:person.01075363545.94", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01075363545.94"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, USA", 
              "id": "http://www.grid.ac/institutes/grid.184769.5", 
              "name": [
                "Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mungall", 
            "givenName": "Christopher J.", 
            "id": "sg:person.011151027407.17", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011151027407.17"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR, USA", 
              "id": "http://www.grid.ac/institutes/grid.4391.f", 
              "name": [
                "Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Haendel", 
            "givenName": "Melissa", 
            "id": "sg:person.01024653300.84", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024653300.84"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA", 
              "id": "http://www.grid.ac/institutes/grid.249880.f", 
              "name": [
                "The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Robinson", 
            "givenName": "Peter N.", 
            "id": "sg:person.010757253652.24", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010757253652.24"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Kidney Research Institute, University of Washington, Seattle, WA, USA", 
              "id": "http://www.grid.ac/institutes/grid.34477.33", 
              "name": [
                "Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA, USA", 
                "Kidney Research Institute, University of Washington, Seattle, WA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Himmelfarb", 
            "givenName": "Jonathan", 
            "id": "sg:person.01040512430.89", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01040512430.89"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Institute for Systems Biomedicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA", 
              "id": "http://www.grid.ac/institutes/grid.59734.3c", 
              "name": [
                "Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA", 
                "Institute for Systems Biomedicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Iyengar", 
            "givenName": "Ravi", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA", 
              "id": "http://www.grid.ac/institutes/grid.214458.e", 
              "name": [
                "Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA", 
                "Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kretzler", 
            "givenName": "Matthias", 
            "id": "sg:person.014440065557.92", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014440065557.92"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA", 
              "id": "http://www.grid.ac/institutes/grid.34477.33", 
              "name": [
                "Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mooney", 
            "givenName": "Sean", 
            "id": "sg:person.01227155553.59", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01227155553.59"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI, USA", 
              "id": "http://www.grid.ac/institutes/grid.214458.e", 
              "name": [
                "Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA", 
                "Unit for Laboratory Animal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA", 
                "Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "He", 
            "givenName": "Yongqun", 
            "id": "sg:person.01077275450.49", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01077275450.49"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1186/s12882-018-0882-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103149069", 
              "https://doi.org/10.1186/s12882-018-0882-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2012-13-1-r5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016188100", 
              "https://doi.org/10.1186/gb-2012-13-1-r5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/2041-1480-4-15", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052203388", 
              "https://doi.org/10.1186/2041-1480-4-15"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41588-019-0500-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1121184863", 
              "https://doi.org/10.1038/s41588-019-0500-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41581-020-0286-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1127686380", 
              "https://doi.org/10.1038/s41581-020-0286-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13326-016-0088-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002920787", 
              "https://doi.org/10.1186/s13326-016-0088-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-017-16627-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099699064", 
              "https://doi.org/10.1038/s41598-017-16627-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12859-017-1981-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099739180", 
              "https://doi.org/10.1186/s12859-017-1981-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.2764", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033967678", 
              "https://doi.org/10.1038/ng.2764"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt1346", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028001312", 
              "https://doi.org/10.1038/nbt1346"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/2041-1480-4-44", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046202261", 
              "https://doi.org/10.1186/2041-1480-4-44"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/75556", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044135237", 
              "https://doi.org/10.1038/75556"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrneph.2016.87", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034483232", 
              "https://doi.org/10.1038/nrneph.2016.87"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41581-018-0077-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1110340732", 
              "https://doi.org/10.1038/s41581-018-0077-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/2041-1480-5-29", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030736387", 
              "https://doi.org/10.1186/2041-1480-5-29"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-30574-0_62", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036195975", 
              "https://doi.org/10.1007/978-3-642-30574-0_62"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature11247", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029065430", 
              "https://doi.org/10.1038/nature11247"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-38721-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002257119", 
              "https://doi.org/10.1007/978-3-642-38721-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/2041-1480-4-26", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020114409", 
              "https://doi.org/10.1186/2041-1480-4-26"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41586-019-1629-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1121575094", 
              "https://doi.org/10.1038/s41586-019-1629-x"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2020-09-16", 
        "datePublishedReg": "2020-09-16", 
        "description": "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\u2019s phenotype. The development of two new ontologies \u2014 the Kidney Tissue Atlas Ontology and the Ontology of Precision Medicine and Investigation \u2014 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.", 
        "genre": "article", 
        "id": "sg:pub.10.1038/s41581-020-00335-w", 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.4243990", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.7072479", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.7027104", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2621826", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.8634421", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.8634422", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1294907", 
            "issn": [
              "1759-5061", 
              "1759-507X"
            ], 
            "name": "Nature Reviews Nephrology", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "11", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "16"
          }
        ], 
        "keywords": [
          "kidney disease", 
          "Kidney Precision Medicine Project", 
          "precision medicine", 
          "Precision Medicine Project", 
          "effective therapeutic agent", 
          "underlying pathophysiology", 
          "Medicine Project", 
          "biopsy data", 
          "therapeutic agents", 
          "anatomical map", 
          "disease", 
          "patient phenotypes", 
          "medicine", 
          "different data elements", 
          "big data analysis", 
          "national collaborative effort", 
          "phenotype", 
          "patients", 
          "tissue atlas", 
          "pathophysiology", 
          "kidney", 
          "data elements", 
          "important need", 
          "collaborative effort", 
          "ontology", 
          "new ontology", 
          "imaging", 
          "agents", 
          "data", 
          "data analysis", 
          "diverse sources", 
          "atlas", 
          "need", 
          "annotation", 
          "efforts", 
          "powerful tool", 
          "project", 
          "development", 
          "support", 
          "relationship", 
          "types", 
          "investigation", 
          "analysis", 
          "integration", 
          "new definition", 
          "goal", 
          "collection", 
          "tool", 
          "creation", 
          "maps", 
          "definition", 
          "researchers", 
          "insights", 
          "order", 
          "source", 
          "sense", 
          "elements"
        ], 
        "name": "Modelling kidney disease using ontology: insights from the Kidney Precision Medicine Project", 
        "pagination": "686-696", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1130870374"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/s41581-020-00335-w"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "32939051"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/s41581-020-00335-w", 
          "https://app.dimensions.ai/details/publication/pub.1130870374"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-10-01T06:47", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221001/entities/gbq_results/article/article_842.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1038/s41581-020-00335-w"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41581-020-00335-w'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41581-020-00335-w'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41581-020-00335-w'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41581-020-00335-w'


     

    This table displays all metadata directly associated to this object as RDF triples.

    491 TRIPLES      21 PREDICATES      109 URIs      81 LITERALS      14 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/s41581-020-00335-w schema:about N3e6d596ad220448586c9fa26d6c609f3
    2 N409128616dfd44e7987657606ddc8b4a
    3 N6f7cab8e58944051b2b97f2c819ccdb9
    4 N96200604f2ec4132817951b2df56afcc
    5 Nbc2311985d94406398453606436a1d69
    6 Nbd1923806d0a4971b5cf40b765c155f1
    7 Nec20943798a44980980e633982c214f4
    8 anzsrc-for:11
    9 anzsrc-for:1103
    10 schema:author Ne8be3424751246e0a4917ee6cfd88ee4
    11 schema:citation sg:pub.10.1007/978-3-642-30574-0_62
    12 sg:pub.10.1007/978-3-642-38721-0
    13 sg:pub.10.1038/75556
    14 sg:pub.10.1038/nature11247
    15 sg:pub.10.1038/nbt1346
    16 sg:pub.10.1038/ng.2764
    17 sg:pub.10.1038/nrneph.2016.87
    18 sg:pub.10.1038/s41581-018-0077-4
    19 sg:pub.10.1038/s41581-020-0286-5
    20 sg:pub.10.1038/s41586-019-1629-x
    21 sg:pub.10.1038/s41588-019-0500-1
    22 sg:pub.10.1038/s41598-017-16627-4
    23 sg:pub.10.1186/2041-1480-4-15
    24 sg:pub.10.1186/2041-1480-4-26
    25 sg:pub.10.1186/2041-1480-4-44
    26 sg:pub.10.1186/2041-1480-5-29
    27 sg:pub.10.1186/gb-2012-13-1-r5
    28 sg:pub.10.1186/s12859-017-1981-5
    29 sg:pub.10.1186/s12882-018-0882-9
    30 sg:pub.10.1186/s13326-016-0088-7
    31 schema:datePublished 2020-09-16
    32 schema:datePublishedReg 2020-09-16
    33 schema:description 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.
    34 schema:genre article
    35 schema:isAccessibleForFree true
    36 schema:isPartOf N0a90c1ad527e41898ba1bec16bce551d
    37 N29b4fcb0950a4c0485c8fb4783653585
    38 sg:journal.1294907
    39 schema:keywords Kidney Precision Medicine Project
    40 Medicine Project
    41 Precision Medicine Project
    42 agents
    43 analysis
    44 anatomical map
    45 annotation
    46 atlas
    47 big data analysis
    48 biopsy data
    49 collaborative effort
    50 collection
    51 creation
    52 data
    53 data analysis
    54 data elements
    55 definition
    56 development
    57 different data elements
    58 disease
    59 diverse sources
    60 effective therapeutic agent
    61 efforts
    62 elements
    63 goal
    64 imaging
    65 important need
    66 insights
    67 integration
    68 investigation
    69 kidney
    70 kidney disease
    71 maps
    72 medicine
    73 national collaborative effort
    74 need
    75 new definition
    76 new ontology
    77 ontology
    78 order
    79 pathophysiology
    80 patient phenotypes
    81 patients
    82 phenotype
    83 powerful tool
    84 precision medicine
    85 project
    86 relationship
    87 researchers
    88 sense
    89 source
    90 support
    91 therapeutic agents
    92 tissue atlas
    93 tool
    94 types
    95 underlying pathophysiology
    96 schema:name Modelling kidney disease using ontology: insights from the Kidney Precision Medicine Project
    97 schema:pagination 686-696
    98 schema:productId N87b4447fa45d488b86e4795b5f415cc8
    99 Nbbe78ca6b53d4a8fba3788059d26e82f
    100 Nd1104e49e09649f6b49216b7e362e265
    101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1130870374
    102 https://doi.org/10.1038/s41581-020-00335-w
    103 schema:sdDatePublished 2022-10-01T06:47
    104 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    105 schema:sdPublisher N45cd43fe425446258e256432d9e0f101
    106 schema:url https://doi.org/10.1038/s41581-020-00335-w
    107 sgo:license sg:explorer/license/
    108 sgo:sdDataset articles
    109 rdf:type schema:ScholarlyArticle
    110 N0a90c1ad527e41898ba1bec16bce551d schema:issueNumber 11
    111 rdf:type schema:PublicationIssue
    112 N0bc1ba6badc346ef8e148a403221e484 rdf:first sg:person.011151027407.17
    113 rdf:rest N62a211abd9f74a11b636be220e5e9f76
    114 N10bc009430be414a8efe6fe3b19b5c45 rdf:first sg:person.0664551253.05
    115 rdf:rest N777899f136974a26a0355c1749498d8c
    116 N135d56aa63fb43d2881eb8280ac6e024 rdf:first Ncfe9bb5865554799b7405f1daaefaff4
    117 rdf:rest Nf5f4a68ccaab429ca2637fd0a7382dc7
    118 N1feb8917a86a4924b2b473bfa056c1c8 rdf:first sg:person.010757253652.24
    119 rdf:rest Nb2069b004ea445a5b7aca0d543508368
    120 N29b4fcb0950a4c0485c8fb4783653585 schema:volumeNumber 16
    121 rdf:type schema:PublicationVolume
    122 N2ee60d6b2644417990729a2af3c6fefb rdf:first sg:person.01372646157.70
    123 rdf:rest N5482300eec9a485898b1f8220eaa2ebe
    124 N2f7402184fb247059c8bb6c738a229cc rdf:first sg:person.01230771225.78
    125 rdf:rest Ne04bb5e4fd314a019854b62d14e11cf0
    126 N31865887937c4464b9740614d6c8a79b rdf:first sg:person.01242301703.11
    127 rdf:rest Nac800e4d4dc2458cb1a6aaac063e0a9f
    128 N34532dfcc6f14ad29ee9fff45f6b39d6 rdf:first sg:person.01077275450.49
    129 rdf:rest rdf:nil
    130 N363ad3c6c13f40cc9aa896c90510149c rdf:first sg:person.014567546051.38
    131 rdf:rest N925a50829bb24f968f026ef10140cc75
    132 N36f4abf7bdd440a580199fb65f16d534 schema:affiliation grid-institutes:grid.34477.33
    133 schema:familyName Dowd
    134 schema:givenName Frederick
    135 rdf:type schema:Person
    136 N3c7fbe4bbad2470c8b99248bd2372905 rdf:first sg:person.01154745155.77
    137 rdf:rest N726d880bfb6b42f1b9f3ba86bf074c83
    138 N3e6d596ad220448586c9fa26d6c609f3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    139 schema:name Kidney Diseases
    140 rdf:type schema:DefinedTerm
    141 N409128616dfd44e7987657606ddc8b4a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    142 schema:name Precision Medicine
    143 rdf:type schema:DefinedTerm
    144 N45cd43fe425446258e256432d9e0f101 schema:name Springer Nature - SN SciGraph project
    145 rdf:type schema:Organization
    146 N5482300eec9a485898b1f8220eaa2ebe rdf:first sg:person.01230045363.75
    147 rdf:rest N5dfae5d9690a43a59a8b5c0a4b572830
    148 N5dfae5d9690a43a59a8b5c0a4b572830 rdf:first Nf3ad8d2751d0411b88fb208ed74f6b76
    149 rdf:rest N2f7402184fb247059c8bb6c738a229cc
    150 N62a211abd9f74a11b636be220e5e9f76 rdf:first sg:person.01024653300.84
    151 rdf:rest N1feb8917a86a4924b2b473bfa056c1c8
    152 N6824ae0c2d5a454d8d88f9f45451c416 schema:affiliation grid-institutes:grid.34477.33
    153 schema:familyName de Boer
    154 schema:givenName Ian H.
    155 rdf:type schema:Person
    156 N6f7cab8e58944051b2b97f2c819ccdb9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    157 schema:name Humans
    158 rdf:type schema:DefinedTerm
    159 N726d880bfb6b42f1b9f3ba86bf074c83 rdf:first Nbdddd164fdeb47e7a51badc644593c37
    160 rdf:rest N10bc009430be414a8efe6fe3b19b5c45
    161 N777899f136974a26a0355c1749498d8c rdf:first sg:person.01075363545.94
    162 rdf:rest N0bc1ba6badc346ef8e148a403221e484
    163 N79834b4459db4d79899e5fe870ff5118 rdf:first N7992cde604414751964dff4905627e71
    164 rdf:rest N31865887937c4464b9740614d6c8a79b
    165 N7992cde604414751964dff4905627e71 schema:affiliation grid-institutes:grid.59734.3c
    166 schema:familyName Hansen
    167 schema:givenName Jens
    168 rdf:type schema:Person
    169 N87b4447fa45d488b86e4795b5f415cc8 schema:name doi
    170 schema:value 10.1038/s41581-020-00335-w
    171 rdf:type schema:PropertyValue
    172 N87dbf9f270664049a0b0422031b98863 rdf:first N36f4abf7bdd440a580199fb65f16d534
    173 rdf:rest N79834b4459db4d79899e5fe870ff5118
    174 N925a50829bb24f968f026ef10140cc75 rdf:first sg:person.01237316475.71
    175 rdf:rest N87dbf9f270664049a0b0422031b98863
    176 N96200604f2ec4132817951b2df56afcc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    177 schema:name Biological Ontologies
    178 rdf:type schema:DefinedTerm
    179 Nac800e4d4dc2458cb1a6aaac063e0a9f rdf:first sg:person.01323144003.10
    180 rdf:rest Nc7d1e77084fd421b9d569f297b2eee05
    181 Nb2069b004ea445a5b7aca0d543508368 rdf:first sg:person.01040512430.89
    182 rdf:rest N135d56aa63fb43d2881eb8280ac6e024
    183 Nbbe78ca6b53d4a8fba3788059d26e82f schema:name pubmed_id
    184 schema:value 32939051
    185 rdf:type schema:PropertyValue
    186 Nbc2311985d94406398453606436a1d69 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    187 schema:name Big Data
    188 rdf:type schema:DefinedTerm
    189 Nbd1923806d0a4971b5cf40b765c155f1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    190 schema:name Phenotype
    191 rdf:type schema:DefinedTerm
    192 Nbdddd164fdeb47e7a51badc644593c37 schema:affiliation grid-institutes:grid.25879.31
    193 schema:familyName Stoeckert
    194 schema:givenName Christian
    195 rdf:type schema:Person
    196 Nc7d1e77084fd421b9d569f297b2eee05 rdf:first N6824ae0c2d5a454d8d88f9f45451c416
    197 rdf:rest N2ee60d6b2644417990729a2af3c6fefb
    198 Ncfe9bb5865554799b7405f1daaefaff4 schema:affiliation grid-institutes:grid.59734.3c
    199 schema:familyName Iyengar
    200 schema:givenName Ravi
    201 rdf:type schema:Person
    202 Nd1104e49e09649f6b49216b7e362e265 schema:name dimensions_id
    203 schema:value pub.1130870374
    204 rdf:type schema:PropertyValue
    205 Nd32489e17a7e49f3aaa5057d5ebaec06 rdf:first sg:person.01227155553.59
    206 rdf:rest N34532dfcc6f14ad29ee9fff45f6b39d6
    207 Ne04bb5e4fd314a019854b62d14e11cf0 rdf:first sg:person.01204640152.10
    208 rdf:rest N3c7fbe4bbad2470c8b99248bd2372905
    209 Ne8be3424751246e0a4917ee6cfd88ee4 rdf:first sg:person.011563242741.51
    210 rdf:rest Nf62a6cecc3354d2da499cbc1a78ae2b2
    211 Nec20943798a44980980e633982c214f4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    212 schema:name Atlases as Topic
    213 rdf:type schema:DefinedTerm
    214 Nf15bd7d2e2694fe2b5986c2be5f73c69 rdf:first sg:person.01202410173.48
    215 rdf:rest Nf1d7146b178a40aa86ad5c9b8f4cb36f
    216 Nf1d7146b178a40aa86ad5c9b8f4cb36f rdf:first sg:person.01135657144.73
    217 rdf:rest N363ad3c6c13f40cc9aa896c90510149c
    218 Nf3ad8d2751d0411b88fb208ed74f6b76 schema:affiliation grid-institutes:grid.34477.33
    219 schema:familyName Park
    220 schema:givenName Christopher
    221 rdf:type schema:Person
    222 Nf5f4a68ccaab429ca2637fd0a7382dc7 rdf:first sg:person.014440065557.92
    223 rdf:rest Nd32489e17a7e49f3aaa5057d5ebaec06
    224 Nf62a6cecc3354d2da499cbc1a78ae2b2 rdf:first sg:person.01215042246.40
    225 rdf:rest Nf15bd7d2e2694fe2b5986c2be5f73c69
    226 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    227 schema:name Medical and Health Sciences
    228 rdf:type schema:DefinedTerm
    229 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
    230 schema:name Clinical Sciences
    231 rdf:type schema:DefinedTerm
    232 sg:grant.2621826 http://pending.schema.org/fundedItem sg:pub.10.1038/s41581-020-00335-w
    233 rdf:type schema:MonetaryGrant
    234 sg:grant.4243990 http://pending.schema.org/fundedItem sg:pub.10.1038/s41581-020-00335-w
    235 rdf:type schema:MonetaryGrant
    236 sg:grant.7027104 http://pending.schema.org/fundedItem sg:pub.10.1038/s41581-020-00335-w
    237 rdf:type schema:MonetaryGrant
    238 sg:grant.7072479 http://pending.schema.org/fundedItem sg:pub.10.1038/s41581-020-00335-w
    239 rdf:type schema:MonetaryGrant
    240 sg:grant.8634421 http://pending.schema.org/fundedItem sg:pub.10.1038/s41581-020-00335-w
    241 rdf:type schema:MonetaryGrant
    242 sg:grant.8634422 http://pending.schema.org/fundedItem sg:pub.10.1038/s41581-020-00335-w
    243 rdf:type schema:MonetaryGrant
    244 sg:journal.1294907 schema:issn 1759-5061
    245 1759-507X
    246 schema:name Nature Reviews Nephrology
    247 schema:publisher Springer Nature
    248 rdf:type schema:Periodical
    249 sg:person.01024653300.84 schema:affiliation grid-institutes:grid.4391.f
    250 schema:familyName Haendel
    251 schema:givenName Melissa
    252 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024653300.84
    253 rdf:type schema:Person
    254 sg:person.01040512430.89 schema:affiliation grid-institutes:grid.34477.33
    255 schema:familyName Himmelfarb
    256 schema:givenName Jonathan
    257 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01040512430.89
    258 rdf:type schema:Person
    259 sg:person.01075363545.94 schema:affiliation grid-institutes:grid.273335.3
    260 schema:familyName Diehl
    261 schema:givenName Alexander D.
    262 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01075363545.94
    263 rdf:type schema:Person
    264 sg:person.010757253652.24 schema:affiliation grid-institutes:grid.249880.f
    265 schema:familyName Robinson
    266 schema:givenName Peter N.
    267 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010757253652.24
    268 rdf:type schema:Person
    269 sg:person.01077275450.49 schema:affiliation grid-institutes:grid.214458.e
    270 schema:familyName He
    271 schema:givenName Yongqun
    272 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01077275450.49
    273 rdf:type schema:Person
    274 sg:person.011151027407.17 schema:affiliation grid-institutes:grid.184769.5
    275 schema:familyName Mungall
    276 schema:givenName Christopher J.
    277 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011151027407.17
    278 rdf:type schema:Person
    279 sg:person.01135657144.73 schema:affiliation grid-institutes:grid.239578.2
    280 schema:familyName O’Toole
    281 schema:givenName John F.
    282 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01135657144.73
    283 rdf:type schema:Person
    284 sg:person.01154745155.77 schema:affiliation grid-institutes:grid.451303.0
    285 schema:familyName Anderton
    286 schema:givenName Christopher R.
    287 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01154745155.77
    288 rdf:type schema:Person
    289 sg:person.011563242741.51 schema:affiliation grid-institutes:grid.214458.e
    290 schema:familyName Ong
    291 schema:givenName Edison
    292 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011563242741.51
    293 rdf:type schema:Person
    294 sg:person.01202410173.48 schema:affiliation grid-institutes:grid.214458.e
    295 schema:familyName Schaub
    296 schema:givenName Jennifer
    297 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01202410173.48
    298 rdf:type schema:Person
    299 sg:person.01204640152.10 schema:affiliation grid-institutes:grid.266100.3
    300 schema:familyName Alexandrov
    301 schema:givenName Theodore
    302 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01204640152.10
    303 rdf:type schema:Person
    304 sg:person.01215042246.40 schema:affiliation grid-institutes:grid.502992.5
    305 schema:familyName Wang
    306 schema:givenName Lucy L.
    307 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01215042246.40
    308 rdf:type schema:Person
    309 sg:person.01227155553.59 schema:affiliation grid-institutes:grid.34477.33
    310 schema:familyName Mooney
    311 schema:givenName Sean
    312 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01227155553.59
    313 rdf:type schema:Person
    314 sg:person.01230045363.75 schema:affiliation grid-institutes:grid.239424.a
    315 schema:familyName Waikar
    316 schema:givenName Sushrut S.
    317 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01230045363.75
    318 rdf:type schema:Person
    319 sg:person.01230771225.78 schema:affiliation grid-institutes:grid.67105.35
    320 schema:familyName Crawford
    321 schema:givenName Dana C.
    322 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01230771225.78
    323 rdf:type schema:Person
    324 sg:person.01237316475.71 schema:affiliation grid-institutes:grid.21107.35
    325 schema:familyName Rosenberg
    326 schema:givenName Avi Z.
    327 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01237316475.71
    328 rdf:type schema:Person
    329 sg:person.01242301703.11 schema:affiliation grid-institutes:grid.26009.3d
    330 schema:familyName Barisoni
    331 schema:givenName Laura
    332 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01242301703.11
    333 rdf:type schema:Person
    334 sg:person.01323144003.10 schema:affiliation grid-institutes:grid.4367.6
    335 schema:familyName Jain
    336 schema:givenName Sanjay
    337 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01323144003.10
    338 rdf:type schema:Person
    339 sg:person.01372646157.70 schema:affiliation grid-institutes:grid.62560.37
    340 schema:familyName Valerius
    341 schema:givenName M. Todd
    342 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01372646157.70
    343 rdf:type schema:Person
    344 sg:person.014440065557.92 schema:affiliation grid-institutes:grid.214458.e
    345 schema:familyName Kretzler
    346 schema:givenName Matthias
    347 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014440065557.92
    348 rdf:type schema:Person
    349 sg:person.014567546051.38 schema:affiliation grid-institutes:grid.214458.e
    350 schema:familyName Steck
    351 schema:givenName Becky
    352 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014567546051.38
    353 rdf:type schema:Person
    354 sg:person.0664551253.05 schema:affiliation grid-institutes:grid.21729.3f
    355 schema:familyName Weng
    356 schema:givenName Chunhua
    357 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0664551253.05
    358 rdf:type schema:Person
    359 sg:pub.10.1007/978-3-642-30574-0_62 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036195975
    360 https://doi.org/10.1007/978-3-642-30574-0_62
    361 rdf:type schema:CreativeWork
    362 sg:pub.10.1007/978-3-642-38721-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002257119
    363 https://doi.org/10.1007/978-3-642-38721-0
    364 rdf:type schema:CreativeWork
    365 sg:pub.10.1038/75556 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044135237
    366 https://doi.org/10.1038/75556
    367 rdf:type schema:CreativeWork
    368 sg:pub.10.1038/nature11247 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029065430
    369 https://doi.org/10.1038/nature11247
    370 rdf:type schema:CreativeWork
    371 sg:pub.10.1038/nbt1346 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028001312
    372 https://doi.org/10.1038/nbt1346
    373 rdf:type schema:CreativeWork
    374 sg:pub.10.1038/ng.2764 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033967678
    375 https://doi.org/10.1038/ng.2764
    376 rdf:type schema:CreativeWork
    377 sg:pub.10.1038/nrneph.2016.87 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034483232
    378 https://doi.org/10.1038/nrneph.2016.87
    379 rdf:type schema:CreativeWork
    380 sg:pub.10.1038/s41581-018-0077-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110340732
    381 https://doi.org/10.1038/s41581-018-0077-4
    382 rdf:type schema:CreativeWork
    383 sg:pub.10.1038/s41581-020-0286-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1127686380
    384 https://doi.org/10.1038/s41581-020-0286-5
    385 rdf:type schema:CreativeWork
    386 sg:pub.10.1038/s41586-019-1629-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1121575094
    387 https://doi.org/10.1038/s41586-019-1629-x
    388 rdf:type schema:CreativeWork
    389 sg:pub.10.1038/s41588-019-0500-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1121184863
    390 https://doi.org/10.1038/s41588-019-0500-1
    391 rdf:type schema:CreativeWork
    392 sg:pub.10.1038/s41598-017-16627-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099699064
    393 https://doi.org/10.1038/s41598-017-16627-4
    394 rdf:type schema:CreativeWork
    395 sg:pub.10.1186/2041-1480-4-15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052203388
    396 https://doi.org/10.1186/2041-1480-4-15
    397 rdf:type schema:CreativeWork
    398 sg:pub.10.1186/2041-1480-4-26 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020114409
    399 https://doi.org/10.1186/2041-1480-4-26
    400 rdf:type schema:CreativeWork
    401 sg:pub.10.1186/2041-1480-4-44 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046202261
    402 https://doi.org/10.1186/2041-1480-4-44
    403 rdf:type schema:CreativeWork
    404 sg:pub.10.1186/2041-1480-5-29 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030736387
    405 https://doi.org/10.1186/2041-1480-5-29
    406 rdf:type schema:CreativeWork
    407 sg:pub.10.1186/gb-2012-13-1-r5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016188100
    408 https://doi.org/10.1186/gb-2012-13-1-r5
    409 rdf:type schema:CreativeWork
    410 sg:pub.10.1186/s12859-017-1981-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099739180
    411 https://doi.org/10.1186/s12859-017-1981-5
    412 rdf:type schema:CreativeWork
    413 sg:pub.10.1186/s12882-018-0882-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103149069
    414 https://doi.org/10.1186/s12882-018-0882-9
    415 rdf:type schema:CreativeWork
    416 sg:pub.10.1186/s13326-016-0088-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002920787
    417 https://doi.org/10.1186/s13326-016-0088-7
    418 rdf:type schema:CreativeWork
    419 grid-institutes:grid.184769.5 schema:alternateName Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
    420 schema:name Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
    421 rdf:type schema:Organization
    422 grid-institutes:grid.21107.35 schema:alternateName Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
    423 schema:name Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
    424 rdf:type schema:Organization
    425 grid-institutes:grid.214458.e schema:alternateName Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA
    426 Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI, USA
    427 Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
    428 schema:name Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA
    429 Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI, USA
    430 Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
    431 Unit for Laboratory Animal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA
    432 rdf:type schema:Organization
    433 grid-institutes:grid.21729.3f schema:alternateName Department of Biomedical Informatics, Columbia University, New York, NY, USA
    434 schema:name Department of Biomedical Informatics, Columbia University, New York, NY, USA
    435 rdf:type schema:Organization
    436 grid-institutes:grid.239424.a schema:alternateName Section of Nephrology, Boston University Medical Center, Boston, MA, USA
    437 schema:name Section of Nephrology, Boston University Medical Center, Boston, MA, USA
    438 rdf:type schema:Organization
    439 grid-institutes:grid.239578.2 schema:alternateName Department of Inflammation and Immunity, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
    440 schema:name Department of Inflammation and Immunity, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
    441 Department of Nephrology and Hypertension, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
    442 rdf:type schema:Organization
    443 grid-institutes:grid.249880.f schema:alternateName The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
    444 schema:name The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
    445 rdf:type schema:Organization
    446 grid-institutes:grid.25879.31 schema:alternateName Department of Genetics, Perelman School of Medicine, University of Pennsylvania Philadelphia, Philadelphia, PA, USA
    447 schema:name Department of Genetics, Perelman School of Medicine, University of Pennsylvania Philadelphia, Philadelphia, PA, USA
    448 rdf:type schema:Organization
    449 grid-institutes:grid.26009.3d schema:alternateName Division of AI/Computational Pathology, Department of Pathology, and Division of Nephrology, Department of Medicine, Duke University, Durham, NC, USA
    450 schema:name Division of AI/Computational Pathology, Department of Pathology, and Division of Nephrology, Department of Medicine, Duke University, Durham, NC, USA
    451 rdf:type schema:Organization
    452 grid-institutes:grid.266100.3 schema:alternateName Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA
    453 schema:name Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA
    454 Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany
    455 rdf:type schema:Organization
    456 grid-institutes:grid.273335.3 schema:alternateName Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
    457 schema:name Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
    458 rdf:type schema:Organization
    459 grid-institutes:grid.34477.33 schema:alternateName Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA
    460 Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA, USA
    461 Kidney Research Institute, University of Washington, Seattle, WA, USA
    462 UW Medicine Research IT, University of Washington, Seattle, WA, USA
    463 schema:name Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA
    464 Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA, USA
    465 Kidney Research Institute, University of Washington, Seattle, WA, USA
    466 UW Medicine Research IT, University of Washington, Seattle, WA, USA
    467 rdf:type schema:Organization
    468 grid-institutes:grid.4367.6 schema:alternateName Division of Nephrology, School of Medicine, Washington University in St. Louis, St Louis, MO, USA
    469 schema:name Division of Nephrology, School of Medicine, Washington University in St. Louis, St Louis, MO, USA
    470 rdf:type schema:Organization
    471 grid-institutes:grid.4391.f schema:alternateName Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR, USA
    472 schema:name Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR, USA
    473 rdf:type schema:Organization
    474 grid-institutes:grid.451303.0 schema:alternateName Pacific Northwest National Laboratory, Richland, WA, USA
    475 schema:name Pacific Northwest National Laboratory, Richland, WA, USA
    476 rdf:type schema:Organization
    477 grid-institutes:grid.502992.5 schema:alternateName Allen Institute for Artificial Intelligence, Seattle, WA, USA
    478 schema:name Allen Institute for Artificial Intelligence, Seattle, WA, USA
    479 rdf:type schema:Organization
    480 grid-institutes:grid.59734.3c schema:alternateName Institute for Systems Biomedicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
    481 schema:name Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
    482 Institute for Systems Biomedicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
    483 rdf:type schema:Organization
    484 grid-institutes:grid.62560.37 schema:alternateName Division of Renal Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
    485 schema:name Division of Renal Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
    486 rdf:type schema:Organization
    487 grid-institutes:grid.67105.35 schema:alternateName Cleveland Institute for Computational Biology, Cleveland, OH, USA
    488 schema:name Cleveland Institute for Computational Biology, Cleveland, OH, USA
    489 Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
    490 Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
    491 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...