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American Journal of Medical Genetics Part B Neuropsychiatric Genetics
Article . 2013 . Peer-reviewed
License: Wiley Online Library User Agreement
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Convergent functional genomics of psychiatric disorders

Authors: Alexander B, Niculescu;

Convergent functional genomics of psychiatric disorders

Abstract

AbstractGenetic and gene expression studies, in humans and animal models of psychiatric and other medical disorders, are becoming increasingly integrated. Particularly for genomics, the convergence and integration of data across species, experimental modalities and technical platforms is providing a fit‐to‐disease way of extracting reproducible and biologically important signal, in contrast to the fit‐to‐cohort effect and limited reproducibility of human genetic analyses alone. With the advent of whole‐genome sequencing and the realization that a major portion of the non‐coding genome may contain regulatory variants, Convergent Functional Genomics (CFG) approaches are going to be essential to identify disease‐relevant signal from the tremendous polymorphic variation present in the general population. Such work in psychiatry can provide an example of how to address other genetically complex disorders, and in turn will benefit by incorporating concepts from other areas, such as cancer, cardiovascular diseases, and diabetes. © 2013 Wiley Periodicals, Inc.

Related Organizations
Keywords

Disease Models, Animal, Gene Expression Regulation, Mental Disorders, Animals, Humans, Genomics

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    19
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Average
Top 10%
bronze
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