Evidence map›Paper›PMID 35665764›Full record

ArticleMolecular psychiatry2022

Ultra-rare and common genetic variant analysis converge to implicate negative selection and neuronal processes in the aetiology of schizophrenia.

Wonuola A Akingbuwa, Anke R Hammerschlag, Meike Bartels, Michel G Nivard, Christel M Middeldorp

Open access · hybridAbstract read
In one paragraph

Article in Molecular psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% of its field
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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Personality Genomics.Annual review of psychology · 2026
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. A Functional Schizophrenia-associated genetic variant near thebioRxiv : the preprint server for biology · 2023
    Article
  15. Article
  16. New insights from the last decade of research in psychiatric genetics: discoveries, challenges and clinical implications.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2023
    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

5 authors at 3 institutions in 2 countries.

Wonuola A AkingbuwaDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands. o.a.akingbuwa@vu.nl.ORCID http://orcid.org/0000-0002-8205-0807
Anke R HammerschlagDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0003-4847-4814
Meike BartelsDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0002-9667-7555
Michel G Nivard *Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0003-2015-1888
Christel M Middeldorp *Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0002-6218-0428
The University of Queensland · AUVrije Universiteit Amsterdam · NLAmsterdam University Medical Centers · NL

Funding

Dissecting the Multivariate Genetic Architecture of Psychiatric DiseasesR01MH120219 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI NIVARD, MICHEL GUILLAUME, TUCKER-DROB, ELLIOT MAX · 2020 to 2024
$3.3M
NIMH NIH HHS R01 MH120219
6 · The paper itself

Abstract

Both common and rare genetic variants (minor allele frequency >1% and <0.1% respectively) have been implicated in the aetiology of schizophrenia. In this study, we integrate single-cell gene expression data with publicly available Genome-Wide Association Study (GWAS) and exome sequenced data in order to investigate in parallel, the enrichment of common and (ultra-)rare variants related to schizophrenia in several functionally relevant gene-sets. Four types of gene-sets were constructed 1) protein-truncating variant (PTV)-intolerant (PI) genes 2) genes expressed in brain cell types and neurons ascertained from mouse and human brain tissue 3) genes defined by synaptic function and location and 4) intersection genes, i.e., PI genes that are expressed in the human and mouse brain cell gene-sets. We show that common as well as ultra-rare schizophrenia-associated variants are overrepresented in PI genes, in excitatory neurons from the prefrontal cortex and hippocampus, medium spiny neurons, and genes enriched for synaptic processes. We also observed stronger enrichment in the intersection genes. Our findings suggest that across the allele frequency spectrum, genes and genetic variants likely to be under stringent selection, and those expressed in particular brain cell types, are involved in the same biological pathways influencing the risk for schizophrenia.

Indexed as

SchizophreniaAnimalsExomeExome SequencingGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMicePolymorphism, Single Nucleotide

Identifiers

PMID35665764
PMCPMC9708595
OpenAlexW4281645274

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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.