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Modeling psychiatric disorders: from genomic findings to cellular phenotypes
A. Falk, VM. Heine, AJ. Harwood, PF. Sullivan, M. Peitz, O. Brüstle, S. Shen, YM. Sun, JC. Glover, D. Posthuma, S. Djurovic,
Language English Country England, Great Britain
Document type Journal Article, Review
Grant support
NV15-31063A
MZ0
CEP Register
Digital library NLK
Full text - Article
Source
NLK
ProQuest Central
from 1997-01-01 to 2017-12-31
Open Access Digital Library
from 1997-01-01
Health & Medicine (ProQuest)
from 1997-01-01 to 2017-12-31
Psychology Database (ProQuest)
from 1997-01-01 to 2017-12-31
PubMed
27240529
DOI
10.1038/mp.2016.89
Knihovny.cz E-resources
- MeSH
- Autistic Disorder metabolism MeSH
- Models, Biological * MeSH
- Mental Disorders genetics metabolism MeSH
- Genomics MeSH
- Induced Pluripotent Stem Cells metabolism MeSH
- Humans MeSH
- Cellular Reprogramming MeSH
- Schizophrenia metabolism MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Review MeSH
Major programs in psychiatric genetics have identified >150 risk loci for psychiatric disorders. These loci converge on a small number of functional pathways, which span conventional diagnostic criteria, suggesting a partly common biology underlying schizophrenia, autism and other psychiatric disorders. Nevertheless, the cellular phenotypes that capture the fundamental features of psychiatric disorders have not yet been determined. Recent advances in genetics and stem cell biology offer new prospects for cell-based modeling of psychiatric disorders. The advent of cell reprogramming and induced pluripotent stem cells (iPSC) provides an opportunity to translate genetic findings into patient-specific in vitro models. iPSC technology is less than a decade old but holds great promise for bridging the gaps between patients, genetics and biology. Despite many obvious advantages, iPSC studies still present multiple challenges. In this expert review, we critically review the challenges for modeling of psychiatric disorders, potential solutions and how iPSC technology can be used to develop an analytical framework for the evaluation and therapeutic manipulation of fundamental disease processes.
Department of Biology Faculty of Medicine Masaryk University Brno Czech Republic
Department of Neuroscience Karolinska Institutet Stockholm Sweden
Regenerative Medicine Institute School of Medicine NUI Galway Galway Ireland
References provided by Crossref.org
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- $a Major programs in psychiatric genetics have identified >150 risk loci for psychiatric disorders. These loci converge on a small number of functional pathways, which span conventional diagnostic criteria, suggesting a partly common biology underlying schizophrenia, autism and other psychiatric disorders. Nevertheless, the cellular phenotypes that capture the fundamental features of psychiatric disorders have not yet been determined. Recent advances in genetics and stem cell biology offer new prospects for cell-based modeling of psychiatric disorders. The advent of cell reprogramming and induced pluripotent stem cells (iPSC) provides an opportunity to translate genetic findings into patient-specific in vitro models. iPSC technology is less than a decade old but holds great promise for bridging the gaps between patients, genetics and biology. Despite many obvious advantages, iPSC studies still present multiple challenges. In this expert review, we critically review the challenges for modeling of psychiatric disorders, potential solutions and how iPSC technology can be used to develop an analytical framework for the evaluation and therapeutic manipulation of fundamental disease processes.
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- $a Heine, V M $u Department of Pediatrics/Child Neurology, VU University Medical Center Amsterdam, Amsterdam, The Netherlands. Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
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