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Updated: Jun 21, 2026

Rapid Detection of Neurodevelopmental Phenotypes in Human Neural Precursor Cells (NPCs)
Published on: March 2, 2018
Cognitive ontologies for neuropsychiatric phenomics research.
Robert M Bilder1, Fred W Sabb, D Stott Parker
1Jane & Terry Semel Institute for Neuroscience & Human Behavior at UCLA, Los Angeles, CA 90095, USA. rbilder@mednet.ucla.edu
Developing cognitive ontologies is crucial for understanding neuropsychiatric disorders. This involves informatics strategies and focusing on cognitive test indicators for better genomic discovery.
Area of Science:
- Neuroscience
- Genetics
- Bioinformatics
Background:
- Genome-wide association studies (GWAS) are complex for neuropsychiatric syndromes.
- Phenomics, the study of phenotypes, is a bottleneck in genomic discovery.
- Informatics strategies are needed to link genomic variation to disease.
Purpose of the Study:
- To address challenges in cognitive ontology development.
- To establish a foundation for representing cognitive phenotypes.
- To facilitate genomic discovery in neuropsychiatric disorders.
Main Methods:
- Developing schemata for phenotypic expression, inspired by Gene Ontology.
- Focusing on cognitive test indicators for consistency and operational definitions.
- Introducing "test speciation" to manage unique cognitive paradigms.
Main Results:
- Initiated projects to develop cognitive ontologies at the Consortium for Neuropsychiatric Phenomics.
- Developed web applications (PubGraph, PubAtlas, PubBrain, Phenowiki, Cognitive Atlas) for cognitive concept visualization and ontology development.
- Demonstrated the utility of cognitive test indicators as a foundation for ontologies.
Conclusions:
- Cognitive ontologies are essential for effective collaboration and linking cognitive phenotypes to biological knowledge.
- Formalizing inference about cognitive concepts aids discovery of genetic bases for cognition and disorders.
- Web applications support collaborative ontology development and data analysis.
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