Evidence map›Paper›PMID 27240529›Full record

ReviewMolecular psychiatry2016

Modeling psychiatric disorders: from genomic findings to cellular phenotypes.

A Falk, V M Heine, A J Harwood, P F Sullivan, M Peitz, O Brüstle, S Shen, Y-M Sun, J C Glover, D Posthuma and 1 more

Erratum issuedAbstract readReview
In one paragraph

Review in Molecular psychiatry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed.

  1. Review
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  6. Article
  7. Neurobiology of stress · 2023
    Review
  8. Functional genomics in stem cell models: considerations and applications.Frontiers in cell and developmental biology · 2023
    Review
  9. Article
  10. Review
  11. Review
  12. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

A FalkDepartment of Neuroscience, Karolinska Institutet, Stockholm, Sweden.
V M HeineDepartment of Pediatrics/Child Neurology, VU University Medical Center Amsterdam, Amsterdam, The Netherlands.
A J HarwoodNeuroscience and Mental Health Research Institute & School of Biosciences, Cardiff University, Cardiff, UK.
P F SullivanDepartment of Genetics, University of North Carolina, Chapel Hill, NC, USA.
M PeitzInstitute of Reconstructive Neurobiology, LIFE & BRAIN Center, University of Bonn and German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
O BrüstleInstitute of Reconstructive Neurobiology, LIFE & BRAIN Center, University of Bonn and German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
S ShenRegenerative Medicine Institute, School of Medicine, NUI Galway, Galway, Ireland.
Y-M SunDepartment of Biology, Faculty of Medicine, Masaryk University, Brno, Czech Republic.
J C GloverDepartment of Molecular Medicine, University of Oslo, and Norwegian Center for Stem Cell Research, Oslo University Hospital, Oslo, Norway.
D PosthumaDepartment of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
S DjurovicDepartment of Medical Genetics, Oslo University Hospital, University of Bergen, Oslo, Norway.

Funding

Wellcome TrustWellcome Trust WT100202/Z/12/Z
6 · The paper itself

Abstract

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.

Indexed as

Models, BiologicalAutistic DisorderCellular ReprogrammingGenomicsHumansInduced Pluripotent Stem CellsMental DisordersSchizophrenia

Identifiers

PMID27240529
PMCPMC4995546

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.