Evidence map›Paper›PMID 24135711›Full record

ReviewBiological psychiatry2014

Gene × environment interaction studies have not properly controlled for potential confounders: the problem and the (simple) solution.

Matthew C Keller

Abstract readReview
In one paragraph

Review in Biological psychiatry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 366 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
366citing papers in PubMed, 8 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

366 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  15. Article
  16. Association Between the Genetic Risk for Attention-Deficit/Hyperactivity Disorder and Cognitive Function in Older Age: The MYHAT Population-Based Study.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2026
    Article
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  20. TGF-β Pathway-Based Polygenic Risk Score Modifies the Association between Red Meat Intake and Colorectal Cancer Risk: Application of a Novel Pathway-Based PRS Method.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article

306 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

1 author.

Matthew C KellerDepartment of Psychology and Neuroscience, and the Institute for Behavioral Genetics, University of Colorado at Boulder, Colorado. Electronic address: matthew.c.keller@gmail.com.

Funding

Estimating the genetic and environmental architecture of psychiatric disordersR01MH100141 · NIMH · UNIVERSITY OF COLORADO · PI KELLER, MATTHEW CHARLES · 2013 to 2022
$5.3M
Evolutionary Roles of Homozygosity & Copy Number Variation in Mental DisordersK01MH085812 · NIMH · UNIVERSITY OF COLORADO · PI KELLER, MATTHEW CHARLES · 2010 to 2014
$751k
NIMH NIH HHS K01 MH085812NIMH NIH HHS K01MH085812NIMH NIH HHS R01 MH100141NIMH NIH HHS R01MH100141
6 · The paper itself

Abstract

Candidate gene × environment (G × E) interaction research tests the hypothesis that the effects of some environmental variable (e.g., childhood maltreatment) on some outcome measure (e.g., depression) depend on a particular genetic polymorphism. Because this research is inherently nonexperimental, investigators have been rightly concerned that detected interactions could be driven by confounders (e.g., ethnicity, gender, age, socioeconomic status) rather than by the specified genetic or environmental variables per se. In an attempt to eliminate such alternative explanations for detected G × E interactions, investigators routinely enter the potential confounders as covariates in general linear models. However, this practice does not control for the effects these variables might have on the G × E interaction. Rather, to properly control for confounders, researchers need to enter the covariate × environment and the covariate × gene interaction terms in the same model that tests the G × E term. In this manuscript, I demonstrate this point analytically and show that the practice of improperly controlling for covariates is the norm in the G × E interaction literature to date. Thus, many alternative explanations for G × E findings that investigators had thought were eliminated have not been.

Indexed as

Confounding Factors, EpidemiologicGene-Environment InteractionGenetic Predisposition to DiseaseHumansMental DisordersAdjustmentconfounderscovariatesfalse positive rategene-by-environment interactionsgene × environment interactionsmultiple regressionreplication

Identifiers

PMID24135711
PMCPMC3859520

What OpenQuestion holds

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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.