Evidence map›Paper›PMID 21748401›Full record

ArticleBehavior genetics2012

A note on false positives and power in G × E modelling of twin data.

Sophie van der Sluis, Danielle Posthuma, Conor V Dolan

Abstract read
In one paragraph

Article in Behavior genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
99citing 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

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

  1. Pooled it
  2. IGEMS: The Consortium on Interplay of Genes and Environment Across Multiple Studies - An Update.Twin research and human genetics : the official journal of the International Society for Twin Studies · 2019
    Trial
  3. Article
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  8. Genetic and environmental influences on alcohol consumption in middle to late life.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2025
    Article
  9. Article
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  11. Research Review: A review of the past decade of family and genomic studies on adolescent mental health.Journal of child psychology and psychiatry, and allied disciplines · 2025
    Review
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39 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

3 authors.

Sophie van der SluisComplex Trait Genetics, Department of Functional Genomics, Center for Neurogenomics and Cognitive Research (CNCR), FALW-VUA, Neuroscience Campus Amsterdam, VU University Medical Center (VUmc), Amsterdam, The Netherlands. s.vander.sluis@vu.nl
Danielle Posthuma
Conor V Dolan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The variance components models for gene-environment interaction proposed by Purcell in 2002 are widely used. In both the bivariate and the univariate parameterization of these models, the variance decomposition of trait T is a function of moderator M. We show that if M and T are correlated, and moderator M is correlated between twins as well, the univariate parameterization produces a considerable increase in false positive moderation effects. A simple extension of this univariate moderation model prevents this elevation of the false positive rate provided the covariance between M and T is itself not also subject to moderation. If the covariance between M and T varies as a function of M, then moderation effects observed in the univariate setting should be interpreted with care as these can have their origin in either moderation of the covariance between M and T or in moderation of the unique paths of T. We conclude that researchers should use the full bivariate moderation model to study the presence of moderation on the covariance between M and T. If such moderation can be ruled out, subsequent use of the extended univariate moderation model, as proposed in this paper, is recommended as this model is more powerful than the full bivariate moderation model.

Indexed as

Gene-Environment InteractionResearch DesignAlgorithmsComputer SimulationData Interpretation, StatisticalEnvironmentFalse Positive ReactionsHumansModels, GeneticModels, StatisticalRegression AnalysisTwinsTwin Studies as Topic

Identifiers

PMID21748401
PMCPMC3253285

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.