Literature DB >> 18180765

A collaborative knowledge base for cognitive phenomics.

F W Sabb1, C E Bearden, D C Glahn, D S Parker, N Freimer, R M Bilder.   

Abstract

The human genome project has stimulated development of impressive repositories of biological knowledge at the genomic level and new knowledge bases are rapidly being developed in a 'bottom-up' fashion. In contrast, higher-level phenomics knowledge bases are underdeveloped, particularly with respect to the complex neuropsychiatric syndrome, symptom, cognitive, and neural systems phenotypes widely acknowledged as critical to advance molecular psychiatry research. This gap limits informatics strategies that could improve both the mining and representation of relevant knowledge, and help prioritize phenotypes for new research. Most existing structured knowledge bases also engage a limited set of contributors, and thus fail to leverage recent developments in social collaborative knowledge-building. We developed a collaborative annotation database to enable representation and sharing of empirical information about phenotypes important to neuropsychiatric research (www.Phenowiki.org). As a proof of concept, we focused on findings relevant to 'cognitive control', a neurocognitive construct considered important to multiple neuropsychiatric syndromes. Currently this knowledge base tabulates empirical findings about heritabilities and measurement properties of specific cognitive task and rating scale indicators (n=449 observations). It is hoped that this new open resource can serve as a starting point that enables broadly collaborative knowledge-building, and help investigators select and prioritize endophenotypes for translational research.

Entities:  

Mesh:

Year:  2008        PMID: 18180765      PMCID: PMC3952067          DOI: 10.1038/sj.mp.4002124

Source DB:  PubMed          Journal:  Mol Psychiatry        ISSN: 1359-4184            Impact factor:   15.992


  22 in total

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5.  Cognitive interference is associated with neuronal marker N-acetyl aspartate in the anterior cingulate cortex: an in vivo (1)H-MRS study of the Stroop Color-Word task.

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Journal:  Mol Psychiatry       Date:  2001-09       Impact factor: 15.992

6.  Adjudicating neurocognitive endophenotypes for schizophrenia.

Authors:  David C Glahn; Laura Almasy; John Blangero; Gary M Burk; Jose Estrada; Juan Manuel Peralta; Naxhielli Meyenberg; Mariana Pereira Castro; Jennifer Barrett; Humberto Nicolini; Henriette Raventós; Michael A Escamilla
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2007-03-05       Impact factor: 3.568

7.  Endophenotypes for psychiatric disorders: ready for primetime?

Authors:  Carrie E Bearden; Nelson B Freimer
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Review 8.  The endophenotype concept in psychiatry: etymology and strategic intentions.

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Review 9.  The endophenotype concept in psychiatric genetics.

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  25 in total

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3.  Phenomics: building scaffolds for biological hypotheses in the post-genomic era.

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Review 4.  The genetics of cognitive impairment in schizophrenia: a phenomic perspective.

Authors:  Robert M Bilder; Andrew Howe; Nic Novak; Fred W Sabb; D Stott Parker
Journal:  Trends Cogn Sci       Date:  2011-08-02       Impact factor: 20.229

Review 5.  Cognitive ontologies for neuropsychiatric phenomics research.

Authors:  Robert M Bilder; Fred W Sabb; D Stott Parker; Donald Kalar; Wesley W Chu; Jared Fox; Nelson B Freimer; Russell A Poldrack
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6.  Women are more sensitive than men to prior trial events on the Stop-signal task.

Authors:  Katharine N Thakkar; Eliza Congdon; Russell A Poldrack; Fred W Sabb; Edythe D London; Tyrone D Cannon; Robert M Bilder
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Review 7.  A systems neuroscience approach to the pathophysiology of pediatric mood and anxiety disorders.

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Review 8.  Genes, cognition and brain through a COMT lens.

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Journal:  Neuroscience       Date:  2009-05-13       Impact factor: 3.590

Review 9.  An integrative model of the maturation of cognitive control.

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10.  The neuropsychology of schizophrenia circa 2009.

Authors:  Robert M Bilder
Journal:  Neuropsychol Rev       Date:  2009-08-13       Impact factor: 7.444

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