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Modeling psychiatric disorders: from genomic findings to cellular phenotypes

Authors :
Vivi M. Heine
Yuh-Man Sun
Srdjan Djurovic
Oliver Brüstle
Patrick F. Sullivan
Michael Peitz
Danielle Posthuma
Adrian J. Harwood
Joel C. Glover
Anna Falk
Sanbring Shen
Pediatric surgery
Amsterdam Neuroscience - Complex Trait Genetics
Human genetics
Complex Trait Genetics
Computer Systems
Center for Neurogenomics and Cognitive Research
Source :
Falk, A, Heine, V M, Harwood, A, Sullivan, P F, Peitz, M, Brüstle, O, Shen, S, Sun, Y M S, Glover, J C, Posthuma, D & Djurovic, S 2016, ' Modeling psychiatric disorders: from genomic findings to cellular phenotypes. ', Molecular Psychiatry, no. 21 . https://doi.org/10.1038/mp.2016.100, Molecular psychiatry 21(9), 1167-1179 (2016). doi:10.1038/mp.2016.89, Molecular Psychiatry, 21(9). Nature Publishing Group, Molecular Psychiatry. Nature Publishing Group, ISSUE=21;ISSN=1359-4184;TITLE=Molecular Psychiatry, Molecular Psychiatry, Falk, A, Heine, V M, Harwood, A J, Sullivan, P F, Peitz, M, Brüstle, O, Shen, S, Sun, Y-M, Glover, J C, Posthuma, D & Djurovic, S 2016, ' Modeling psychiatric disorders : from genomic findings to cellular phenotypes ', Molecular Psychiatry, vol. 21, no. 9, pp. 1321 . https://doi.org/10.1038/mp.2016.100, Falk, A, Heine, V M, Harwood, A J, Sullivan, P F, Peitz, M, Brüstle, O, Shen, S, Sun, Y M, Glover, J C, Posthuma, D & Djurovic, S 2016, ' Modeling psychiatric disorders : From genomic findings to cellular phenotypes ', Molecular Psychiatry, vol. 21, no. 9, pp. 1167-1179 . https://doi.org/10.1038/mp.2016.89
Publication Year :
2016

Abstract

Major programs in psychiatric genetics have identified 4150 risk loci for psychiatric disorders. These loci converge on a small\ud number of functional pathways, which span conventional diagnostic criteria, suggesting a partly common biology underlying\ud schizophrenia, autism and other psychiatric disorders. Nevertheless, the cellular phenotypes that capture the fundamental features\ud of psychiatric disorders have not yet been determined. Recent advances in genetics and stem cell biology offer new prospects for\ud cell-based modeling of psychiatric disorders. The advent of cell reprogramming and induced pluripotent stem cells (iPSC) provides\ud an opportunity to translate genetic findings into patient-specific in vitro models. iPSC technology is less than a decade old but holds\ud great promise for bridging the gaps between patients, genetics and biology. Despite many obvious advantages, iPSC studies still\ud present multiple challenges. In this expert review, we critically review the challenges for modeling of psychiatric disorders, potential\ud solutions and how iPSC technology can be used to develop an analytical framework for the evaluation and therapeutic\ud manipulation of fundamental disease processes.

Details

Language :
English
ISSN :
13594184
Database :
OpenAIRE
Journal :
Falk, A, Heine, V M, Harwood, A, Sullivan, P F, Peitz, M, Brüstle, O, Shen, S, Sun, Y M S, Glover, J C, Posthuma, D & Djurovic, S 2016, ' Modeling psychiatric disorders: from genomic findings to cellular phenotypes. ', Molecular Psychiatry, no. 21 . https://doi.org/10.1038/mp.2016.100, Molecular psychiatry 21(9), 1167-1179 (2016). doi:10.1038/mp.2016.89, Molecular Psychiatry, 21(9). Nature Publishing Group, Molecular Psychiatry. Nature Publishing Group, ISSUE=21;ISSN=1359-4184;TITLE=Molecular Psychiatry, Molecular Psychiatry, Falk, A, Heine, V M, Harwood, A J, Sullivan, P F, Peitz, M, Brüstle, O, Shen, S, Sun, Y-M, Glover, J C, Posthuma, D & Djurovic, S 2016, ' Modeling psychiatric disorders : from genomic findings to cellular phenotypes ', Molecular Psychiatry, vol. 21, no. 9, pp. 1321 . https://doi.org/10.1038/mp.2016.100, Falk, A, Heine, V M, Harwood, A J, Sullivan, P F, Peitz, M, Brüstle, O, Shen, S, Sun, Y M, Glover, J C, Posthuma, D & Djurovic, S 2016, ' Modeling psychiatric disorders : From genomic findings to cellular phenotypes ', Molecular Psychiatry, vol. 21, no. 9, pp. 1167-1179 . https://doi.org/10.1038/mp.2016.89
Accession number :
edsair.doi.dedup.....5dc3ce93c8e18119891b96c5c83aee62
Full Text :
https://doi.org/10.1038/mp.2016.100