Evidence map›Paper›PMID 34883504›Full record

ArticleComplex psychiatry2021

Publicly Available hiPSC Lines with Extreme Polygenic Risk Scores for Modeling Schizophrenia.

Kristina Dobrindt, Hanwen Zhang, Debamitra Das, Sara Abdollahi, Tim Prorok, Sulagna Ghosh, Sarah Weintraub, Giulio Genovese, Samuel K Powell, Anina Lund and 6 more

Abstract read
In one paragraph

Article in Complex psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Review
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  16. Neurobiology of stress · 2023
    Review
  17. Article
  18. Review
  19. Use ofFrontiers in cellular and infection microbiology · 2023
    Review
  20. ReducedFrontiers in cell and developmental biology · 2022
    Article
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

16 authors.

Kristina DobrindtPamela Sklar Division of Psychiatric Genomics, Department of Genetics and Genomics, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Hanwen ZhangCenter for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, Illinois, USA.
Debamitra DasDepartment of Genetic Medicine and Psychiatry, Johns Hopkins University, Baltimore, Maryland, USA.
Sara AbdollahiDepartment of Genetic Medicine and Psychiatry, Johns Hopkins University, Baltimore, Maryland, USA.
Tim ProrokCenter for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, Illinois, USA.
Sulagna GhoshStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Sarah WeintraubCenter for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, Illinois, USA.
Giulio GenoveseStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Samuel K PowellPamela Sklar Division of Psychiatric Genomics, Department of Genetics and Genomics, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Anina LundPamela Sklar Division of Psychiatric Genomics, Department of Genetics and Genomics, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Schahram AkbarianNash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Kevin EgganDepartment of Genetics, Harvard Medical School, Boston, Massachusetts, USA.
Steven McCarrollStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Jubao DuanCenter for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, Illinois, USA.
Dimitrios AvramopoulosDepartment of Genetic Medicine and Psychiatry, Johns Hopkins University, Baltimore, Maryland, USA.
Kristen J BrennandPamela Sklar Division of Psychiatric Genomics, Department of Genetics and Genomics, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Funding

SZ-associated loci: Functional consequences and treatment opportunitiesR01MH113215 · NIMH · JOHNS HOPKINS UNIVERSITY · PI AVRAMOPOULOS, DIMITRIOS · 2018 to 2021
$3.8M
NIMH NIH HHS R01 MH113215
6 · The paper itself

Abstract

Schizophrenia (SZ) is a common and debilitating psychiatric disorder with limited effective treatment options. Although highly heritable, risk for this polygenic disorder depends on the complex interplay of hundreds of common and rare variants. Translating the growing list of genetic loci significantly associated with disease into medically actionable information remains an important challenge. Thus, establishing platforms with which to validate the impact of risk variants in cell-type-specific and donor-dependent contexts is critical. Towards this, we selected and characterized a collection of 12 human induced pluripotent stem cell (hiPSC) lines derived from control donors with extremely low and high SZ polygenic risk scores (PRS). These hiPSC lines are publicly available at the California Institute for Regenerative Medicine (CIRM). The suitability of these extreme PRS hiPSCs for CRISPR-based isogenic comparisons of neurons and glia was evaluated across 3 independent laboratories, identifying 9 out of 12 meeting our criteria. We report a standardized resource of publicly available hiPSCs on which we hope to perform genome engineering and generate diverse kinds of functional data, with comparisons across studies facilitated by the use of a common set of genetic backgrounds.

Indexed as

CRISPR/Cas9Human induced pluripotent stem cellPolygenic risk scoreSchizophrenia

Identifiers

PMID34883504
PMCPMC7923934

What OpenQuestion holds

Textmetadata
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.