Literature DB >> 21890791

A critical review of the first 10 years of candidate gene-by-environment interaction research in psychiatry.

Laramie E Duncan1, Matthew C Keller.   

Abstract

OBJECTIVE: Gene-by-environment interaction (G×E) studies in psychiatry have typically been conducted using a candidate G×E (cG×E) approach, analogous to the candidate gene association approach used to test genetic main effects. Such cG×E research has received widespread attention and acclaim, yet cG×E findings remain controversial. The authors examined whether the many positive cG×E findings reported in the psychiatric literature were robust or if, in aggregate, cG×E findings were consistent with the existence of publication bias, low statistical power, and a high false discovery rate.
METHOD: The authors conducted analyses on data extracted from all published studies (103 studies) from the first decade (2000-2009) of cG×E research in psychiatry.
RESULTS: Ninety-six percent of novel cG×E studies were significant compared with 27% of replication attempts. These findings are consistent with the existence of publication bias among novel cG×E studies, making cG×E hypotheses appear more robust than they actually are. There also appears to be publication bias among replication attempts because positive replication attempts had smaller average sample sizes than negative ones. Power calculations using observed sample sizes suggest that cG×E studies are underpowered. Low power along with the likely low prior probability of a given cG×E hypothesis being true suggests that most or even all positive cG×E findings represent type I errors.
CONCLUSIONS: In this new era of big data and small effects, a recalibration of views about groundbreaking findings is necessary. Well-powered direct replications deserve more attention than novel cG×E findings and indirect replications.

Entities:  

Mesh:

Year:  2011        PMID: 21890791      PMCID: PMC3222234          DOI: 10.1176/appi.ajp.2011.11020191

Source DB:  PubMed          Journal:  Am J Psychiatry        ISSN: 0002-953X            Impact factor:   18.112


  38 in total

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3.  Investigating gene environment interaction in complex diseases: increasing power by selective sampling for environmental exposure.

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4.  Spurious genetic associations.

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Journal:  Am J Psychiatry       Date:  2009-04-01       Impact factor: 18.112

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3.  Genes, Environments, and Sex Differences in Alcohol Research.

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4.  Antidepressant effects on serotonin 1A/1B receptors in the rat brain using a gene x environment model.

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9.  Polygenic risk, stressful life events and depressive symptoms in older adults: a polygenic score analysis.

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Review 10.  Genetic epidemiology and insights into interactive genetic and environmental effects in autism spectrum disorders.

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