Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Jul;53(4):359-373.
doi: 10.1007/s10519-023-10137-y. Epub 2023 Mar 1.

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

Affiliations

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

Dirk H M Pelt et al. Behav Genet. 2023 Jul.

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.

Keywords: Genotype by environment interaction; Item Response Theory; Measurement error; Sum scores; Twin studies; Well-being.

PubMed Disclaimer

Conflict of interest statement

The author declares that they have no conflict of interest.

Figures

Fig. 1
Fig. 1
Histogram and density plots of the Satisfaction With Life Scale (A), Subjective Happiness Scale (B), and social support (C) scores. Dashed line indicates the mean
Fig. 2
Fig. 2
Unmeasured GxE model for a single twin, for sum scores (left) and item-level data (right), where θ represents the latent phenotype. Above the dashed line represents the twin model, below the dashed line the IRT model. For clarity, only the item parameters of Item 1 are given (with discrimination/slope parameter α1 and threshold parameters β1 through βk with k being equal to the number of response options M − 1. The models without GxE are estimated by replacing β0e + β1eA with e
Fig. 3
Fig. 3
Measured GxE model with social support as moderator for both twins, for sum scores (top) and item-level data (bottom), where θ represents the latent phenotype. Above the dashed line represents the twin model, below the dashed line the IRT model (bottom panel). See Fig. 2 for explanation of the item parameters
Fig. 4
Fig. 4
95% credibility regions of the AxE interaction effects across the range of estimated genotypic values based on sum scores (top) and item-level data (bottom) for satisfaction with life, happiness, and social support
Fig. 5
Fig. 5
95% credibility regions of the GxE interaction effects across the range of social support based on sum scores (top) and item-level data (bottom) for satisfaction with life (SWL). Standardized values in right panel
Fig. 6
Fig. 6
95% credibility regions of the GxE interaction effects across the range of social support based on sum scores (top) and item-level data (bottom) for subjective happiness (SH). Standardized values in right panel

Similar articles

Cited by

References

    1. Bartels M. Genetics of Wellbeing and its components satisfaction with life, happiness, and quality of life: a review and Meta-analysis of Heritability Studies. Behav Genet. 2015;96:137–156. doi: 10.1007/s10519-015-9713-y. - DOI - PMC - PubMed
    1. Bartels M, Boomsma DI. Born to be happy? The etiology of subjective well-being. Behav Genet. 2009;39:605–615. doi: 10.1007/s10519-009-9294-8. - DOI - PMC - PubMed
    1. Beam CR, Dinescu D, Emery R, Turkheimer E. A twin study on perceived stress, depressive symptoms, and marriage. J Health Soc Behav. 2017;58:37–53. doi: 10.1177/0022146516688242. - DOI - PMC - PubMed
    1. Van den Berg SM, Glas CAW, Boomsma DI (2007) Variance decomposition using an IRT measurement model. Behav Genet 37:604–616. 10.1007/s10519-007-9156-1 - PMC - PubMed
    1. Box GEP, Tiao GC (2011) Bayesian inference in statistical analysis. Wiley

Publication types

LinkOut - more resources