Evidence map›Paper›PMID 26316594›Full record

SynthesisSchizophrenia bulletin2016

Meta-analysis of Positive and Negative Symptoms Reveals Schizophrenia Modifier Genes.

Alexis C Edwards, Tim B Bigdeli, Anna R Docherty, Silviu Bacanu, Donghyung Lee, Teresa R de Candia, Arden Moscati, Dawn L Thiselton, Brion S Maher, Brandon K Wormley and 6 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Schizophrenia bulletin, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Beyond vertebrates:Frontiers in psychiatry · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Evidence of an interaction betweenEuropean psychiatry : the journal of the Association of European Psychiatrists · 2021
    Article
  11. Article
  12. Article
  13. Review
  14. Polygenic Risk Scores for Subtyping of Schizophrenia.Schizophrenia research and treatment · 2020
    Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Cross-Disorder Psychiatric Genomics.Current behavioral neuroscience reports · 2016
    Article
  20. 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.

Alexis C EdwardsVirginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA; alexis.edwards@vcuhealth.org.
Tim B BigdeliVirginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA;
Anna R DochertyVirginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA;
Silviu BacanuVirginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA;
Donghyung LeeVirginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA;
Teresa R de CandiaDepartment of Psychology and Neuroscience, University of Colorado, Boulder, CO; Institute for Behavioral Genetics, University of Colorado, Boulder, CO;
Arden MoscatiVirginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA;
Dawn L ThiseltonVirginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA;
Brion S MaherDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD;
Brandon K WormleyVirginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA;
Molecular Genetics of Schizophrenia Collaboration (MGS)
Dermot WalshHealth Research Board, Dublin, Ireland;
Francis A O'NeillCentre for Public Health, Institute of Clinical Sciences, Queen's University Belfast, Belfast, UK;
Kenneth S KendlerVirginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA;
Brien P RileyVirginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA;
Ayman H FanousVirginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA; Mental Health Service Line, Washington VA Medical Center, Washington, DC; Department of Psychiatry, Georgetown University School of Medicine, Washington, DC.

Funding

MOLECULAR GENETICS OF SCHIZOPHRENIAR01MH059571 · NIMH · UNIVERSITY OF CHICAGO · PI GEJMAN, PABLO V. · 1999 to 2007
$8.0M
Research Training: Psychiatric &Statistical GeneticsT32MH020030 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI HERMINE H MAES, MICHAEL CHURTON NEALE · 1999 to 2026
$6.7M
Research Training: Mental Health Behavior GeneticsT32MH016880 · NIMH · UNIVERSITY OF COLORADO AT BOULDER · PI Naomi P. Friedman, Matthew Charles Keller · 1985 to 2026
$5.3M
THE GENETIC EPIDEMIOLOGY OF SCHIZOPHRENIA IN IRELANDR01MH041953 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENDLER, KENNETH SEEDMAN · 1987 to 2008
$5.2M
A Genome-Wide Association Study of SchizophreniaU01MH079469 · NIMH · NORTHSHORE UNIVERSITY HEALTHSYSTEM · PI GEJMAN, PABLO V. · 2007 to 2009
$4.4M
A genome-wide association study of schizophrenia in IrelandR01MH083094 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI RILEY, BRIEN P · 2008 to 2011
$3.5M
Research Education in Statistical Genetics of Substance AbuseR25DA026119 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2008 to 2018
$3.2M
MOLECULAR GENETICS OF SCHIZOPHRENIAR01MH060879 · NIMH · WASHINGTON UNIVERSITY · PI CLONINGER, C. ROBERT · 1999 to 2006
$2.7M
MOLECULAR GENETICS OF SCHIZOPHRENIAR01MH059586 · NIMH · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI SILVERMAN, JEREMY M. · 1999 to 2006
$1.9M
MOLECULAR GENETICS OF SCHIZOPHRENIAR01MH061675 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI LEVINSON, DOUGLAS FREDERICK · 1999 to 2007
$1.8M
MOLECULAR GENETICS OF SCHIZOPHRENIAR01MH059587 · NIMH · EMORY UNIVERSITY · PI AMIN, FAROOQ · 1999 to 2006
$1.8M
MOLECULAR GENETICS OF SCHIZOPHRENIAR01MH059565 · NIMH · UNIVERSITY OF COLORADO DENVER · PI FREEDMAN, ROBERT · 1999 to 2006
$1.7M
CSRD VA I01 CX000278NIAAA NIH HHS AA021399NIAAA NIH HHS K01 AA021399NIDA NIH HHS DA026119NIDA NIH HHS R25 DA026119NIMH NIH HHS K01 MH109765NIMH NIH HHS MH016880NIMH NIH HHS MH020030NIMH NIH HHS MH041953NIMH NIH HHS MH068881NIMH NIH HHS MH083094NIMH NIH HHS MH59565NIMH NIH HHS MH59566NIMH NIH HHS MH59571NIMH NIH HHS MH59586NIMH NIH HHS MH59587NIMH NIH HHS MH59588NIMH NIH HHS MH60870NIMH NIH HHS MH60879NIMH NIH HHS MH61675NIMH NIH HHS MH67257NIMH NIH HHS MH79470NIMH NIH HHS MH81800NIMH NIH HHS R01 MH041953NIMH NIH HHS R01 MH068881NIMH NIH HHS R01 MH083094NIMH NIH HHS T32 MH016880NIMH NIH HHS T32 MH020030NIMH NIH HHS U01 MH79469Wellcome Trust WTCCC-084710
6 · The paper itself

Abstract

backgroundEvidence suggests that genetic factors may influence both schizophrenia (Scz) and its clinical presentation. In recent years, genome-wide association studies (GWAS) have demonstrated considerable success in identifying risk loci. Detection of "modifier loci" has the potential to further elucidate underlying disease processes.

methodsWe performed GWAS of empirically derived positive and negative symptom scales in Irish cases from multiply affected pedigrees and a larger, independent case-control sample, subsequently combining these into a large Irish meta-analysis. In addition to single-SNP associations, we considered gene-based and pathway analyses to better capture convergent genetic effects, and to facilitate biological interpretation of these findings. Replication and testing of aggregate genetic effects was conducted using an independent European-American sample.

resultsThough no single marker met the genome-wide significance threshold, genes and ontologies/pathways were significantly associated with negative and positive symptoms; notably, NKAIN2 and NRG1, respectively. We observed limited overlap in ontologies/pathways associated with different symptom profiles, with immune-related categories over-represented for negative symptoms, and addiction-related categories for positive symptoms. Replication analyses suggested that genes associated with clinical presentation are generalizable to non-Irish samples.

conclusionsThese findings strongly support the hypothesis that modifier loci contribute to the etiology of distinct Scz symptom profiles. The finding that previously implicated "risk loci" actually influence particular symptom dimensions has the potential to better delineate the roles of these genes in Scz etiology. Furthermore, the over-representation of distinct gene ontologies/pathways across symptom profiles suggests that the clinical heterogeneity of Scz is due in part to complex and diverse genetic factors.

Indexed as

HumansSchizophreniaclinical heterogeneitymeta-analysismodifier genesnegative symptomspositive symptomsschizophrenia

Identifiers

PMID26316594
PMCPMC4753595

What OpenQuestion holds

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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.