Evidence map›Paper›PMID 25496659›Full record

ArticleSchizophrenia research2015

The impact of clinical heterogeneity in schizophrenia on genomic analyses.

Sherri G Liang, Tiffany A Greenwood

Abstract read
In one paragraph

Article in Schizophrenia research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–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. Article
  2. Article
  3. Review
  4. Article
  5. Beyond vertebrates:Frontiers in psychiatry · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Genetic Influences on Cognitive Dysfunction in Schizophrenia.Current topics in behavioral neurosciences · 2023
    Article
  11. Article
  12. Article
  13. International journal of molecular sciences · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

2 authors.

Sherri G LiangDepartment of Psychiatry, University of California San Diego, La Jolla, CA, United States.
Tiffany A GreenwoodDepartment of Psychiatry, University of California San Diego, La Jolla, CA, United States. Electronic address: tgreenwood@ucsd.edu.

Funding

MOLECULAR GENETICS OF SCHIZOPHRENIAR01MH059571 · NIMH · UNIVERSITY OF CHICAGO · PI GEJMAN, PABLO V. · 1999 to 2007
$8.0M
A Genome-Wide Association Study of SchizophreniaU01MH079469 · NIMH · NORTHSHORE UNIVERSITY HEALTHSYSTEM · PI GEJMAN, PABLO V. · 2007 to 2009
$4.4M
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
MOLECULAR GENETICS OF SCHIZOPHRENIAR01MH059588 · NIMH · UNIVERSITY OF QUEENSLAND · PI MOWRY, BRYAN JOHN · 1999 to 2006
$1.4M
MOLECULAR GENETICS OF SCHIZOPHRENIAR01MH060870 · NIMH · UNIVERSITY OF CALIFORNIA IRVINE · PI BYERLEY, WILLIAM · 1999 to 2006
$1.3M
Genome-wide Association Study of SchizophreniaU01MH079470 · NIMH · STANFORD UNIVERSITY · PI LEVINSON, DOUGLAS FREDERICK · 2007 to 2009
$1.1M
MOLECULAR GENETICS OF SCHIZOPHRENIAR01MH059566 · NIMH · UNIVERSITY OF IOWA · PI BLACK, DONALD W. · 1999 to 2006
$925k
The Convergence and Divergence of Schizophrenia and Bipolar DisorderK01MH087889 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GREENWOOD, TIFFANY A · 2010 to 2014
$858k
NIMH NIH HHS K01 MH087889NIMH NIH HHS K01-MH087889NIMH NIH HHS R01 MH059565NIMH NIH HHS R01 MH059566NIMH NIH HHS R01 MH059571NIMH NIH HHS R01 MH059586NIMH NIH HHS R01 MH059587NIMH NIH HHS R01 MH059588NIMH NIH HHS R01 MH060870NIMH NIH HHS R01 MH060879NIMH NIH HHS R01 MH061675NIMH NIH HHS R01 MH067257NIMH NIH HHS R01 MH59565NIMH NIH HHS R01 MH59566NIMH NIH HHS R01MH59571NIMH NIH HHS R01 MH59586NIMH NIH HHS R01 MH59587NIMH NIH HHS R01 MH59588NIMH NIH HHS R01 MH60870NIMH NIH HHS R01 MH60879NIMH NIH HHS R01 MH61675NIMH NIH HHS R01 MH67257NIMH NIH HHS R01 MH81800NIMH NIH HHS U01 MH046276NIMH NIH HHS U01 MH046318NIMH NIH HHS U01 MH079469NIMH NIH HHS U01 MH079470NIMH NIH HHS U01 MH46289NIMH NIH HHS U01MH79469NIMH NIH HHS U01MH79470
6 · The paper itself

Abstract

Though clinically useful, the diagnostic systems currently employed are not well equipped to capture the substantial clinical heterogeneity observed for most psychiatric disorders, as exemplified by the complex psychotic disorder(s) that Bleuler aptly labeled the "Group of Schizophrenias". The clinical heterogeneity associated with schizophrenia has likely frustrated decades of attempts to illuminate the underlying genetic architecture, although recent genome-wide association studies have begun to provide valuable insight into the role of common genetic risk variants. Here we demonstrate the importance of using diagnostic information to identify a core form of the disorder and to eliminate potential comorbidities in genetic studies. We also demonstrate why applying a diagnostic screening procedure to the control dataset to remove individuals with potentially related disorders is critical. Additionally, subjects may participate in multiple studies at different institutions or may have genotype data released by more than one research group. It is thus good practice to verify that no identical subjects exist within or between samples prior to conducting any type of genetic analysis to avoid potential confounding of results. While the availability of genomic data for large collections of subjects has facilitated many investigations that would otherwise not have been possible, we clearly show why one must use caution when acquiring data from publicly available sources. Although the broad vs. narrow debate in terms of phenotype definition in genetic analyses will remain, it is likely that both approaches will yield different results and that both will have utility in resolving the genetic architecture of schizophrenia.

Indexed as

Chromosomes, Human, Pair 9ComorbidityDatabases, GeneticGenome-Wide Association StudyHumansLinkage DisequilibriumPhenotypePolymorphism, Single NucleotidePsychotic DisordersSchizophreniaWhite PeopleDiagnosticsGenome-wide associationHeterogeneitySchizophrenia

Identifiers

PMID25496659
PMCPMC4308487

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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.