Evidence map›Paper›PMID 36856918›Full record

ArticleBehavior genetics2023

Bias in Gene-by-Environment Interaction Effects with Sum Scores; An Application to Well-being Phenotypes.

Dirk H M Pelt, Inga Schwabe, Meike Bartels

Abstract read
In one paragraph

Article in Behavior genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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.

Dirk H M PeltDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. h.m.pelt@vu.nl.ORCID 0000-0001-5926-5247
Inga SchwabeDepartment of Methodology and Statistics, Tilburg University, Tilburg, The Netherlands.
Meike BartelsDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

Funding

European Research Council ERC-2017-COG 771057 WELL-BEINGZonMw 31160008
6 · The paper itself

Abstract

In the current study, we investigated the influence of using skewed sum scores on estimated gene-by-environment interaction effects (GxE) for life satisfaction and happiness with perceived social support. To this end, we analyzed item-level data from a large adult twin sample (Ns between 3610 and 11,305) of the Netherlands Twin Register. Item response theory (IRT) models were incorporated in unmeasured (univariate) GxE models, and measured GxE models (with social support as moderator). We found that skewness introduced spurious GxE effects, with the largest effect for the most skewed variable (social support). Finally, in the IRT model for life satisfaction, but not for happiness, heritability estimates decreased with higher social support, while this was not observed when analyzing sum scores. Together, our results indicate that IRT can be used to address psychometric issues related to the use of sum scores, especially in the context of GxE, for complex traits like well-being.

Indexed as

Gene-Environment InteractionMultifactorial InheritanceNetherlandsPhenotypeGenotype by environment interactionItem Response TheoryMeasurement errorSum scoresTwin studiesWell-being

Identifiers

PMID36856918
PMCPMC10275801

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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.