Evidence map›Paper›PMID 29483625›Full record

ReviewMolecular psychiatry2019

New considerations for hiPSC-based models of neuropsychiatric disorders.

Gabriel E Hoffman, Nadine Schrode, Erin Flaherty, Kristen J Brennand

Abstract readReview
In one paragraph

Review in Molecular psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 pooled it
–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

49 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Mental health dished up-the use of iPSC models in neuropsychiatric research.Journal of neural transmission (Vienna, Austria : 1996) · 2020
    Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Gabriel E HoffmanIcahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Nadine SchrodeDepartment of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Erin FlahertyDepartment of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Kristen J BrennandDepartment of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA. kristen.brennand@mssm.edu.ORCID http://orcid.org/0000-0003-0993-5956

Funding

Higher Order Chromatin and Genetic Risk for SchizophreniaR01MH106056 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI AKBARIAN, SCHAHRAM, BRENNAND, KRISTEN JENNIFER · 2015 to 2023
$6.7M
Contrasting causal microRNAs in forebrain and midbrain COS hiPSC neural cellsR01MH101454 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BRENNAND, KRISTEN JENNIFER · 2013 to 2017
$2.8M
Characterization of hiPSC-neurons from psychosis patients with neurexin-1 deletionsF31MH112285 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FLAHERTY, ERIN · 2017 to 2018
$83k
NIMH NIH HHS F31 MH112285NIMH NIH HHS R01 MH101454NIMH NIH HHS R01 MH106056
6 · The paper itself

Abstract

The development of human-induced pluripotent stem cells (hiPSCs) has made possible patient-specific modeling across the spectrum of human disease. Here, we discuss recent advances in psychiatric genomics and post-mortem studies that provide critical insights concerning cell-type composition and sample size that should be considered when designing hiPSC-based studies of complex genetic disease. We review recent hiPSC-based models of SZ, in light of our new understanding of critical power limitations in the design of hiPSC-based studies of complex genetic disorders. Three possible solutions are a movement towards genetically stratified cohorts of rare variant patients, application of CRISPR technologies to engineer isogenic neural cells to study the impact of common variants, and integration of advanced genetics and hiPSC-based datasets in future studies. Overall, we emphasize that to advance the reproducibility and relevance of hiPSC-based studies, stem cell biologists must contemplate statistical and biological considerations that are already well accepted in the field of genetics. We conclude with a discussion of the hypothesis of biological convergence of disease-through molecular, cellular, circuit, and patient level phenotypes-and how this might emerge through hiPSC-based studies.

Indexed as

Cell DifferentiationHumansInduced Pluripotent Stem CellsMental DisordersModels, BiologicalNeuronsPhenotypeReproducibility of Results

Identifiers

PMID29483625
PMCPMC6109625

What OpenQuestion holds

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Registered trials

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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.