Evidence map›Paper›PMID 39030273›Full record

ReviewNature reviews. Neuroscience2024

Schizophrenia genomics: genetic complexity and functional insights.

Patrick F Sullivan, Shuyang Yao, Jens Hjerling-Leffler

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 3 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

42 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  11. Functional Genomics Studies of Psychiatric Disorders in Individuals of Latin American Populations: A Scoping Review.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2026
    Article
  12. Review
  13. Locus-Specific Genetic Associations at theAdvanced genetics (Hoboken, N.J.) · 2026
    Article
  14. Review
  15. Article
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  20. Association ofFrontiers in psychiatry · 2026
    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

3 authors.

Patrick F SullivanDepartment of Genetics, University of North Carolina, Chapel Hill, NC, USA. pfsulliv@med.unc.edu.ORCID http://orcid.org/0000-0002-6619-873X
Shuyang YaoDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Jens Hjerling-LefflerDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden. jens.hjerling-leffler@ki.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Determining the causes of schizophrenia has been a notoriously intractable problem, resistant to a multitude of investigative approaches over centuries. In recent decades, genomic studies have delivered hundreds of robust findings that implicate nearly 300 common genetic variants (via genome-wide association studies) and more than 20 rare variants (via whole-exome sequencing and copy number variant studies) as risk factors for schizophrenia. In parallel, functional genomic and neurobiological studies have provided exceptionally detailed information about the cellular composition of the brain and its interconnections in neurotypical individuals and, increasingly, in those with schizophrenia. Taken together, these results suggest unexpected complexity in the mechanisms that drive schizophrenia, pointing to the involvement of ensembles of genes (polygenicity) rather than single-gene causation. In this Review, we describe what we now know about the genetics of schizophrenia and consider the neurobiological implications of this information.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyGenomicsSchizophreniaAnimalsBrainHumans

Identifiers

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.