Literature DB >> 19344640

Phenomics: the systematic study of phenotypes on a genome-wide scale.

R M Bilder1, F W Sabb, T D Cannon, E D London, J D Jentsch, D Stott Parker, R A Poldrack, C Evans, N B Freimer.   

Abstract

Phenomics is an emerging transdiscipline dedicated to the systematic study of phenotypes on a genome-wide scale. New methods for high-throughput genotyping have changed the priority for biomedical research to phenotyping, but the human phenome is vast and its dimensionality remains unknown. Phenomics research strategies capable of linking genetic variation to public health concerns need to prioritize development of mechanistic frameworks that relate neural systems functioning to human behavior. New approaches to phenotype definition will benefit from crossing neuropsychiatric syndromal boundaries, and defining phenotypic features across multiple levels of expression from proteome to syndrome. The demand for high throughput phenotyping may stimulate a migration from conventional laboratory to web-based assessment of behavior, and this offers the promise of dynamic phenotyping-the iterative refinement of phenotype assays based on prior genotype-phenotype associations. Phenotypes that can be studied across species may provide greatest traction, particularly given rapid development in transgenic modeling. Phenomics research demands vertically integrated research teams, novel analytic strategies and informatics infrastructure to help manage complexity. The Consortium for Neuropsychiatric Phenomics at UCLA has been supported by the National Institutes of Health Roadmap Initiative to illustrate these principles, and is developing applications that may help investigators assemble, visualize, and ultimately test multi-level phenomics hypotheses. As the transdiscipline of phenomics matures, and work is extended to large-scale international collaborations, there is promise that systematic new knowledge bases will help fulfill the promise of personalized medicine and the rational diagnosis and treatment of neuropsychiatric syndromes.

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Year:  2009        PMID: 19344640      PMCID: PMC2760679          DOI: 10.1016/j.neuroscience.2009.01.027

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  62 in total

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5.  Entropy-based joint analysis for two-stage genome-wide association studies.

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9.  Strong association of de novo copy number mutations with autism.

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10.  Genome holography: deciphering function-form motifs from gene expression data.

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  76 in total

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4.  Striatal D1- and D2-type dopamine receptors are linked to motor response inhibition in human subjects.

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Review 6.  The genetics of cognitive impairment in schizophrenia: a phenomic perspective.

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Review 7.  Closing the 'phenotype gap' in precision medicine: improving what we measure to understand complex disease mechanisms.

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Journal:  Mamm Genome       Date:  2019-08-19       Impact factor: 2.957

8.  From the genome to the phenome and back: linking genes with human brain function and structure using genetically informed neuroimaging.

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Review 9.  Colloquium papers: Numbering the hairs on our heads: the shared challenge and promise of phenomics.

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10.  Effectiveness of a web-based protocol for the screening and phenotyping of individuals with Tourette syndrome for genetic studies.

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