Evidence map›Paper›PMID 23143521›Full record

ArticleNature neuroscience2012

Diverse types of genetic variation converge on functional gene networks involved in schizophrenia.

Sarah R Gilman, Jonathan Chang, Bin Xu, Tejdeep S Bawa, Joseph A Gogos, Maria Karayiorgou, Dennis Vitkup

Abstract read
In one paragraph

Article in Nature neuroscience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed
15.9field-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

111 citing papers in PubMed, 211 citations in OpenAlex.

  1. Article
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  4. Expanding the phenotype and genotype spectrum of TAOK1 neurodevelopmental disorder and delineating TAOK2 neurodevelopmental disorder.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
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51 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

7 authors at 1 institution in 1 country.

Sarah R GilmanCenter for Computational Biology and Bioinformatics, Columbia University, New York, New York, USA.
Jonathan Chang
Bin Xu
Tejdeep S Bawa
Joseph A Gogos
Maria Karayiorgou
Dennis Vitkup
Columbia University · US

Funding

Nation Center: Multi-Scale Study- Cellular Networks(RMI)U54CA121852 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2005 to 2015
$37.4M
Training in Biomedical Informatics at Columbia UniversityT15LM007079 · NLM · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI NOEMIE ELHADAD, GEORGE M HRIPCSAK · 1992 to 2026
$28.9M
MAPPING GENES FOR SCHIZOPHRENIA IN FOUNDER POPULATIONSR01MH061399 · NIMH · ROCKEFELLER UNIVERSITY · PI KARAYIORGOU, MARIA · 2000 to 2014
$7.1M
Computational Annotation of Orphan Metabolic ActivitiesR01GM079759 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI VITKUP, DENNIS · 2007 to 2017
$3.2M
Training Program in Computational BiologyT32GM082797 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HONIG, BARRY H · 2008 to 2015
$1.4M
Elucidation of gene networks underlying susceptibility to schizophreniaR01MH077235 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GOGOS, JOSEPH A · 2007 to 2009
$1.3M
NCI NIH HHS U54 CA121852NCI NIH HHS U54CA121852NIGMS NIH HHS R01 GM079759NIGMS NIH HHS T32 GM082797NIMH NIH HHS MH061399NIMH NIH HHS MH077235NIMH NIH HHS R01 MH061399NIMH NIH HHS R01 MH077235NLM NIH HHS T15 LM007079
6 · The paper itself

Abstract

Despite the successful identification of several relevant genomic loci, the underlying molecular mechanisms of schizophrenia remain largely unclear. We developed a computational approach (NETBAG+) that allows an integrated analysis of diverse disease-related genetic data using a unified statistical framework. The application of this approach to schizophrenia-associated genetic variations, obtained using unbiased whole-genome methods, allowed us to identify several cohesive gene networks related to axon guidance, neuronal cell mobility, synaptic function and chromosomal remodeling. The genes forming the networks are highly expressed in the brain, with higher brain expression during prenatal development. The identified networks are functionally related to genes previously implicated in schizophrenia, autism and intellectual disability. A comparative analysis of copy number variants associated with autism and schizophrenia suggests that although the molecular networks implicated in these distinct disorders may be related, the mutations associated with each disease are likely to lead, at least on average, to different functional consequences.

Indexed as

PhenotypeAutistic DisorderCluster AnalysisGene Expression Regulation, DevelopmentalGene Regulatory NetworksGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyHumansIntellectual DisabilityMultigene FamilyProtein Interaction Domains and MotifsSchizophrenia

Identifiers

PMID23143521
PMCPMC3689007
OpenAlexW2138976678

What OpenQuestion holds

Textmetadata
LicenceTDM
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.