Evidence map›Paper›PMID 19329560›Full record

ArticleSchizophrenia bulletin2009

Psychosis genetics: modeling the relationship between schizophrenia, bipolar disorder, and mixed (or "schizoaffective") psychoses.

Nick Craddock, M C O'Donovan, M J Owen

Open access · bronzeAbstract read
In one paragraph

Article in Schizophrenia bulletin, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 3 pooled it
18.2field-weighted citation impact, top 1% 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

86 citing papers in PubMed, 3 syntheses or guidelines pooled it, 218 citations in OpenAlex.

  1. Pooled it
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  13. Pivotal mental states.Journal of psychopharmacology (Oxford, England) · 2021
    Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Renaming schizophrenia: benefits, challenges and barriers.Epidemiology and psychiatric sciences · 2019
    Article
  20. Article

26 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Nick Craddockcraddockn@cardiff.ac.uk
M C O'Donovan
M J Owen
Medical Research Council · GBCardiff University · GB

Funding

Medical Research CouncilWellcome Trust
6 · The paper itself

Abstract

As a result of improving technologies and greatly increased sample sizes, the last 2 years has seen unprecedented advances in identification of specific genetic risk factors for psychiatric phenotypes. Strong genetic associations have been reported at common polymorphisms within ANK3 and CACNA1C in bipolar disorder and ZNF804A in schizophrenia and a relatively specific association between common variation in GABA(A) receptor genes and cases with features of both bipolar disorder and schizophrenia. Further, the occurrence of rare copy number variants (CNVs) has been shown to be increased in schizophrenia compared with controls. These emerging data provide a powerful resource for exploring the relationship between psychiatric phenotypes and can, and should, be used to inform conceptualization, classification, and diagnosis in psychiatry. It is already clear that, in general, genetic associations are not specific to one of the traditional diagnostic categories. For example, variation at ZNF804A is associated with risk of both bipolar disorder and schizophrenia, and some rare CNVs are associated with risk of autism and epilepsy as well as schizophrenia. These data are not consistent with a simple dichotomous model of functional psychosis and indicate the urgent need for moves toward approaches that (a) better represent the range of phenotypic variation seen in the clinical population and (b) reflect the underlying biological variation that gives rise to the phenotypes. We consider the implications for models of psychosis and the importance of recognizing and studying illness that has prominent affective and psychotic features. We conclude that if psychiatry is to translate the opportunities offered by new research methodologies, we must finally abandon a 19th-century dichotomy and move to a classificatory approach that is worthy of the 21st century.

Indexed as

Models, GeneticAnkyrinsBipolar DisorderCalcium Channels, L-TypeGene DosageGenetic Predisposition to DiseaseHumansKruppel-Like Transcription FactorsPhenotypePolymorphism, GeneticPsychotic DisordersReceptors, GABA-ASchizophreniaANK3 protein, humanAnkyrinsCACNA1C protein, humanCalcium Channels, L-TypeKruppel-Like Transcription FactorsReceptors, GABA-AZNF804A protein, human

Identifiers

PMID19329560
PMCPMC2669589
OpenAlexW2116928980

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.