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No Evidence That Schizophrenia Candidate Genes Are More Associated With Schizophrenia Than Noncandidate Genes.
Johnson, Emma C; Border, Richard; Melroy-Greif, Whitney E; de Leeuw, Christiaan A; Ehringer, Marissa A; Keller, Matthew C.
Affiliation
  • Johnson EC; Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado; Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado. Electronic address: emma.c.johnson@colorado.edu.
  • Border R; Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado; Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado.
  • Melroy-Greif WE; Department of Neuroscience, The Scripps Research Institute, La Jolla, California.
  • de Leeuw CA; Department of Complex Trait Genetics, Centre for Neurogenomics and Cognitive Research/VU University Amsterdam, Amsterdam; Institute for Computing and Information Sciences, Radboud University Nijmegen, Nijmegen, the Netherlands.
  • Ehringer MA; Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado; Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado.
  • Keller MC; Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado; Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado.
Biol Psychiatry ; 82(10): 702-708, 2017 Nov 15.
Article in En | MEDLINE | ID: mdl-28823710
ABSTRACT

BACKGROUND:

A recent analysis of 25 historical candidate gene polymorphisms for schizophrenia in the largest genome-wide association study conducted to date suggested that these commonly studied variants were no more associated with the disorder than would be expected by chance. However, the same study identified other variants within those candidate genes that demonstrated genome-wide significant associations with schizophrenia. As such, it is possible that variants within historic schizophrenia candidate genes are associated with schizophrenia at levels above those expected by chance, even if the most-studied specific polymorphisms are not.

METHODS:

The present study used association statistics from the largest schizophrenia genome-wide association study conducted to date as input to a gene set analysis to investigate whether variants within schizophrenia candidate genes are enriched for association with schizophrenia.

RESULTS:

As a group, variants in the most-studied candidate genes were no more associated with schizophrenia than were variants in control sets of noncandidate genes. While a small subset of candidate genes did appear to be significantly associated with schizophrenia, these genes were not particularly noteworthy given the large number of more strongly associated noncandidate genes.

CONCLUSIONS:

The history of schizophrenia research should serve as a cautionary tale to candidate gene investigators examining other phenotypes our findings indicate that the most investigated candidate gene hypotheses of schizophrenia are not well supported by genome-wide association studies, and it is likely that this will be the case for other complex traits as well.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Schizophrenia / Genetic Predisposition to Disease / Genome-Wide Association Study Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Biol Psychiatry Year: 2017 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Schizophrenia / Genetic Predisposition to Disease / Genome-Wide Association Study Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Biol Psychiatry Year: 2017 Document type: Article