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Variance Components Models for Gene–Environment Interaction in Twin Analysis
Open accessAbstract
Gene-environment interaction is likely to be a common and important source of variation for complex behavioral traits. Often conceptualized as the genetic control of sensitivity to the environment, it can be incorporated in variance components twin analyses by partitioning genetic effects into a mean part, which is independent of the environment, and a part that is a linear function of the environment. The model allows for one or more environmental moderator variables (that possibly interact with each other) that may i). be continuous or binary ii). differ between twins within a pair iii). interact with residual environmental as well as genetic effects iv) have nonlinear moderating properties v). show scalar (different magnitudes) or qualitative (different genes) interactions vi). be correlated with genetic effects acting upon the trait, to allow for a test of gene-environment interaction in the presence of gene-environment correlation. Aspects and applications of a class of models are explored by simulation, in the context of both individual differences twin analysis and, in a companion paper (Purcell & Sham, 2002) sibpair quantitative trait locus linkage analysis. As well as elucidating environmental pathways, consideration of gene-environment interaction in quantitative and molecular studies will potentially direct and enhance gene-mapping efforts.
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“In order to ensure that effect sizes were placed on a metric that was comparable across studies, we ensured that phenotypes and continuous SES measures were Z-transformed (based on the M and SD from data pooled across all twins and siblings of all relatedness types) prior to fitting the Purcell (2002) model.”
From Large Cross-National Differences in Gene × Socioeconomic Status Interaction on Intelligence (2016) · cites this paper as Purcell (2002)
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“Briefly, the model assumes a quadratic change in the contributions of A, C, and E over time, and has been described in detail elsewhere (18, 19).”
MethodWesseldijk, L. W., Ullén, F., & Mosing, M. A. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105302 · Cited by 39
“This is a form of G × E interaction , when the magnitude of genetic influence varies as a function of an environmental exposure, and can be tested using a so-called moderator twin model (Purcell, 2002).”
Genetic and environmental causes of variation in epigenetic aging across the lifespan
Li, S., Nguyen, T. L., Wong, E. M., Dugué, P., Dite, G. S., Armstrong, N. J., Craig, J. M., Mather, K. A., Sachdev, P. S., Saffery, R., et al. (2020) · Clinical Epigenetics · doi:10.1186/s13148-020-00950-1 · Cited by 68
Kandler, C., Bratko, D., Butković, A., Hlupić, T. V., Tybur, J. M., Wesseldijk, L. W., de Vries, R. E., Jern, P., & Lewis, G. J. (2020) · Journal of Personality and Social Psychology · doi:10.1037/pspp0000366 · Cited by 47
“If not directly estimated, such interaction effects would be captured in the estimate of nonshared environmental contributions (Purcell, 2002).”
BackgroundMethodInfluentialFAM222A encodes a protein which accumulates in plaques in Alzheimer’s disease
Yan, T., Liang, J., Gao, J., Wang, L., Fujioka, H., Initiative, T. A. D. N., Weiner, M. W., Schuff, N. W., Rosen, H. J., Miller, B. L., et al. (2020) · Nature Communications · doi:10.1038/s41467-019-13962-0 · Cited by 32
Patterson, M. W., Mann, F. D., Grotzinger, A. D., Tackett, J. L., Tucker–Drob, E. M., & Harden, K. P. (2018) · Developmental Psychology · doi:10.1037/dev0000578 · Cited by 32
“To address our hypotheses regarding developmental differences in etiology, we fit a series of models in which the path coefficients from the ACE components to internalizing symptoms interacted with age, pubertal status, and both simultaneously (Purcell, 2002).”
MethodCulbert, K. M., Burt, S. A., & Klump, K. L. (2017) · Journal of Abnormal Psychology · doi:10.1037/abn0000226 · Cited by 28
“, 2012) are identical to “standard” univariate moderation models (Purcell, 2002) with the exception that the “extended” model accounts for cotwin covariance on the moderator (i.”
BackgroundMethodInfluentialRelative Telomere Repeat Mass in Buccal and Leukocyte-Derived DNA
Finnicum, C. T., Dolan, C. V., Willemsen, G. A. H. M., Weber, Z. M., Petersen, J. L., Beck, J. J., Codd, V., Boomsma, D. I., Davies, G. E., & Ehli, E. A. (2017) · PLoS ONE · doi:10.1371/journal.pone.0170765 · Cited by 26
The Importance of Context in the Genetic Transmission of U.S. Party Identification
Fazekas, Z., & Littvay, L. (2015) · Political Psychology · doi:10.1111/pops.12267 · Cited by 43
Genotype × Cohort Interaction on Completed Fertility and Age at First Birth
Briley, D., Harden, K., & Tucker-Drob, E. (2014) · Behavior Genetics · doi:10.1007/s10519-014-9693-3 · Cited by 25
“Standard gene 9 environment interaction models (Purcell 2002) specify that the genetic and environmental effects on a phenotype vary as a linear function of a continuous moderator (which produces quadratic variance estimates across the moderator due to squaring the pathway).”
Panizzon, M. S., Hauger, R. L., Eaves, L. J., Chen, C., Dale, A. M., Eyler, L. T., Fischl, B. R., Fennema‐Notestine, C., Franz, C. E., Grant, M. D., et al. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.044 · Cited by 16
“…study extend this model so as to determine the degree of covariance between the A, C, and E contributions to testosterone level and hippocampal volume, as well as determine the degree to which the A, C, and E contributions to hippocampal volume vary as a function of testosterone (Purcell, 2002).”
Latent variable models are network models
Molenaar, P. (2010) · Behavioral and Brain Sciences · doi:10.1017/s0140525x10000798 · Cited by 25
Predictors of Physical Health: Toward an Integrated Model of Genetic and Environmental Antecedents
Johnson, W., & Krueger, R. F. (2005) · The Journals of Gerontology Series B · doi:10.1093/geronb/60.special_issue_1.42 · Cited by 26
Badini, I., Ahmadzadeh, Y. I., Wechsler, D. L., Lyngstad, T. H., Rayner, C., Eilertsen, E. M., Zavos, H. M. S., Ystrøm, E., & McAdams, T. A. (2023) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13872 · Cited by 27
“Previous G 9 E twin studies of family SES and child psychopathology have regressed out the main effect of SES on child psychopathology before testing for G 9 E to account for inflation of test statistics due to rGE (Purcell, 2002; van der Sluis, Posthuma, & Dolan, 2012).”
BackgroundMethodModeling Interaction and Dispersion Effects in the Analysis of Gene-by-Environment Interaction
Domingue, B. W., Kanopka, K., Mallard, T. T., Trejo, S., & Tucker–Drob, E. M. (2021) · Behavior Genetics · doi:10.1007/s10519-021-10090-8 · Cited by 23
“The methods introduced here can be viewed as complementary to those based in other genetic research designs, such as twin/family (Purcell 2002) and genome-wide molecular methods (Ni et al.”
MethodCarress, H., Lawson, D. J., & Elhaik, E. (2021) · BMC Genomics · doi:10.1186/s12864-021-07618-x · Cited by 35
“Secondly, gene-environment interactions [80] may contribute to the overall effect of an SNP and these may differ by population (for example, in BMI and exercise, [81]).”
BackgroundBrendgen, M. R., Ouellet‐Morin, I., LUPIEN, S. J., Vitaro, F., Dionne, G., & Boivin, M. (2017) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2017.06.014 · Cited by 24
Education and alcohol use: A study of gene-environment interaction in young adulthood
Barr, P. B., Salvatore, J. E., MAES, H. H. M., Alıev, F., Latvala, A., Viken, R. J., Rose, R. J., Kaprio, J. A., & Dick, D. M. (2016) · Social Science & Medicine · doi:10.1016/j.socscimed.2016.06.031 · Cited by 33
“…influences on alcohol use, using a genetically informed design allowed us to model GxE while simultaneously accounting for the possibility of gene-environment correlation (rGE), or the tendency for certain environments to be made up of individuals with certain genetic profile (Purcell, 2002).”
Behavioral and Environmental Modification of the Genetic Influence on Body Mass Index: A Twin Study
Horn, E. E., Turkheimer, E. N., Strachan, E. D., & Duncan, G. E. (2015) · Behavior Genetics · doi:10.1007/s10519-015-9718-6 · Cited by 30
“Third, although our multiple regression approach to moderating variance in BMI has been proposed or used in previous reports (e.g., McCaffery et al. 2009; Purcell 2002), here we demonstrate how this framework may be used to examine the mediating effects of one moderator by another.”
BackgroundMethodKahr, N., Naeser, V., Stensballe, L. G., Kyvik, K. O., Skytthe, A., Backer, V., Bønnelykke, K., & Thomsen, S. F. (2014) · The Clinical Respiratory Journal · doi:10.1111/crj.12110 · Cited by 30
“In the classical twin study design, interactions between genes and shared environment are included in the effect of genes (11).”
BackgroundNikolas, M. A., Klump, K. L., & Burt, S. A. (2014) · Child Development · doi:10.1111/cdev.12296 · Cited by 26
Racine, S. E., Culbert, K. M., Burt, S. A., & Klump, K. L. (2013) · Psychological Medicine · doi:10.1017/s0033291713001426 · Cited by 22
“Following previous recommendations (Purcell, 2002), we report unstandardized path and moderator estimates in Table 4 and Fig.”
InfluentialBurt, S. A., & Klump, K. L. (2013) · Psychological Medicine · doi:10.1017/s0033291713000974 · Cited by 25
“We sought to further confirm the above results using the bivariate G×E model (Purcell, 2002), as recommended by van der Sluis et al. (2012).”
BackgroundMethodResultInfluentialMolenaar, D., van der Sluis, S., Boomsma, D. I., & Dolan, C. V. (2011) · Behavior Genetics · doi:10.1007/s10519-011-9522-x · Cited by 20
“Data We analyzed the Osborne data (Osborne 1980), which include the scores of 328 Caucasian twin pairs and 149 Afro–American twin pairs on various tests of cognitive abilities.”
InfluentialGenetic Epidemiology of Smoking Behaviour and Nicotine Dependence
Korhonen, T., & Kaprio, J. A. (2011) · Wiley eBooks · doi:10.1002/9780470015902.a0023476 · Cited by 3
Heritability Across the Distribution: An Application of Quantile Regression
Logan, J. A. R., Petrill, S., Hart, S., Schatschneider, C., Thompson, L., Deater-Deckard, K., DeThorne, L., & Bartlett, C. W. (2011) · Behavior Genetics · doi:10.1007/s10519-011-9497-7 · Cited by 24
“Some other methods exist that are able to conduct similar analyses, such as the liability-threshold model (Gottesman and Shields 1973), or models that examine heritability across a second measured child- or family-level variable (e.g., Clifford et al. 1984; LaBuda and DeFries 1990; Purcell 2002).”
van der Sluis, S., Dolan, C. V., Neale, M. C., & Posthuma, D. (2008) · Behavior Genetics · doi:10.1007/s10519-008-9201-8 · Cited by 23
“The continuous environmental measure is now modeled as a continuous moderator, in the manner proposed by Purcell (2002).”
BackgroundMethodInfluentialMak, J. K. L., Kuja-Halkola, R., Bai, G., Hassing, L., Pedersen, N., Hägg, S., Jylhävä, J., & Reynolds, C. (2022) · The journals of gerontology. Series A, Biological sciences and medical sciences · doi:10.1093/gerona/glac197 · Cited by 23
“Moreover, any unaccounted-for geneenvironment interaction (ie, increased or decreased genetic sensitivity to certain environmental conditions) may lead to an inflation of individual-specific environment estimates (40,41).”
BackgroundThe Status-Achievement Process: Insights from Genetics
Nielsen, F. (2016) · Frontiers in Sociology · doi:10.3389/fsoc.2016.00009 · Cited by 24
“Extensions of the SEM model that permit estimation of G × E interactions, including non-linear ones, are available and will permit future research to assess such conjectures (Purcell, 2002; Turkheimer et al., 2003; Bates et al., 2016).”
BackgroundMethodInfluentialde Zeeuw, E. D., van Beijsterveldt, C. V., Glasner, T., de Geus, E. D., & Boomsma, D. (2016) · Learning and Individual Differences · doi:10.1016/j.lindif.2016.01.009 · Cited by 23
“In this model, it was testedwhether constraining themeans and variances to be equal across gender led to a significant deterioration of the model fit (Purcell, 2002).”
MethodWhere Do Epigenetics and Developmental Origins Take the Field of Developmental Psychopathology?
Nigg, J. T. (2016) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-015-0121-9 · Cited by 24
“While it is well-known that the heritability estimate in twin data is inflated by interactions of genotype with shared environment (Purcell 2002), the extent of this effect is largely unknown for psychiatric conditions or behavioral traits.”
BackgroundKirkpatrick, R. M., McGue, M. K., & Iacono, W. G. (2014) · Behavior Genetics · doi:10.1007/s10519-014-9698-y · Cited by 28
“Turkheimer et al. (2003): A SES and C SES effects In an important study that has generated much interest, Turkheimer et al. (2003) applied the continuous-moderator model of Purcell (2002) in a small sample of 319 pairs of 7-year-old twins.”
BackgroundMethodInfluentialVallat, R., Berry, S. E., Tsereteli, N., Pujol, J. C., Khatib, H. A., Valdes, A. M., Delahanty, L. M., Drew, D. A., Chan, A. T., Wolf, J., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-34503-2 · Cited by 16
Subedi, M., Khazaei, H., Arganosa, G., Etukudo, E., & Vandenberg, A. (2020) · doi:10.1002/csc2.20282 · Cited by 22
Cognitive genomics: Searching for the genetic roots of neuropsychological functioning.
Bearden, C. E., & Glahn, D. C. (2017) · Neuropsychology · doi:10.1037/neu0000412 · Cited by 27
“Additionally, twin and pedigree studies also offer an excellent resource for studying the significance of genotype by environment interactions (J. Blangero et al., 2005; S. Purcell, 2002), such as effects of lifestyle, diet or exposure to toxins.”
BackgroundBrendgen, M. R., Girard, A., Vitaro, F., Dionne, G., Tremblay, R. E., Pérusse, D., & Boivin, M. (2013) · Journal of Pediatric Psychology · doi:10.1093/jpepsy/jst078 · Cited by 19
Do peer group norms moderate the expression of genetic risk for aggression?
Brendgen, M. R., Girard, A., Vitaro, F., Dionne, G., & Boivin, M. (2013) · Journal of Criminal Justice · doi:10.1016/j.jcrimjus.2013.06.004 · Cited by 23
Changes in genetic and environmental effects on growth during infancy
Touwslager, R. N. H., Gielen, M., Mulder, A., Gerver, W. J. M., Zimmermann, L. J. I., Fowler, T., Houben, A. J. H. M., Stehouwer, C. D. A., Derom, C. A., VLIETINCK, R. F., et al. (2011) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.111.012757 · Cited by 18
“Finally, the possibility of heritability changing with increasing or decreasing birth weight or gestational age was studied by using a gene-environment interaction script (31).”
MethodAn Interactionist Perspective on Genetic and Environmental Contributions to Personality
South, S. C., & Krueger, R. F. (2008) · Social and Personality Psychology Compass · doi:10.1111/j.1751-9004.2007.00062.x · Cited by 21
“Instead of estimating genetic contributions to personality in terms of an overall heritability statistic that averages across diverse family circumstances, biometrical moderation models estimate the effect of genetic and environmental factors on individual differences in the presence of gene–environment interaction an…”
BackgroundInfluentialMcCaffery, J. M., Papandonatos, G. D., Lyons, M. J., Koenen, K. C., Tsuang, M. T., & NIAURA, R. S. (2007) · Psychological Medicine · doi:10.1017/s0033291707001882 · Cited by 20
“Of note, it would have been possible to formulate models for testing for generenvironment interaction in the presence of gene–environment correlation (Purcell, 2002).”
BackgroundIs There a 'Party' in Your Genes?
Hatemi, P. K., Alford, J. R., Hibbing, J. R., & Eaves, L. (2006) · doi:10.2139/ssrn.1276482 · Cited by 22
Incorporating Polygenic Risk Scores in the ACE Twin Model to Estimate A–C Covariance
Dolan, C. V., Huijskens, R. C. A., Minică, C. C., Neale, M. C., & Boomsma, D. I. (2021) · Behavior Genetics · doi:10.1007/s10519-020-10035-7 · Cited by 39
“This may be testing by extending the present model to include age as a moderator in the manner of Purcell (2002).”
BackgroundMethodInfluentialAre there sex differences in the etiology of youth antisocial behavior?
Burt, S. A., Slawinski, B. L., & Klump, K. L. (2018) · Journal of Abnormal Psychology · doi:10.1037/abn0000324 · Cited by 27
“We were thus sufficiently powered to detect etiologic differences in a two-moderator G E model (see Purcell, 2002 for power analyses of simulated data).”
InfluentialLi, M., Chen, J., Li, X., & Deater-Deckard, K. D. (2015) · Journal of Youth and Adolescence · doi:10.1007/s10964-015-0288-y · Cited by 19
“, M, the moderator) would moderate the genetic and environmental influence on deviant peer affiliation, the moderation components (b*M) were added in the univariate genetic model (Purcell 2002).”
BackgroundThe Effect of 9/11 on the Heritability of Political Trust
Ojeda, C. (2014) · Political Psychology · doi:10.1111/pops.12223 · Cited by 24
Modeling Ability Differentiation in the Second-Order Factor Model
Molenaar, D., Dolan, C. V., & van der Maas, H. L. J. (2011) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2011.607095 · Cited by 27
Combining Nonlinear Biometric and Psychometric Models of Cognitive Abilities
Tucker–Drob, E. M., Harden, K. P., & Turkheimer, E. N. (2009) · Behavior Genetics · doi:10.1007/s10519-009-9288-6 · Cited by 16
“We then analyzed the data by forming unit-weighted composite scores for the phenotype for each twin and fitting a biometric model with provisions for G 9 E (Purcell 2002).”
BackgroundMethod14 Peers and Delinquency: A Genetically Informed, Developmentally Sensitive Perspective
Vitaro, F., Brendgen, M. R., & Lacourse, É. (2014) · Springer eBooks · doi:10.1007/978-3-319-08720-7_14 · Cited by 23
Lin, T.-H., Hughes, T., & Meade, M. J. (2023) · European Journal of Orthodontics · doi:10.1093/ejo/cjad054 · Cited by 20
“…from twin data, such as structural equation modelling, offer greater resolution compared to earlier analytical techniques, as they not only allow the modelling of more complex heritability models but also enable the calculation of the confidence intervals for the parameter estimates [13].”
ResultGenetics of Alzheimer’s disease
König, T., & Stögmann, E. (2021) · Wiener Medizinische Wochenschrift · doi:10.1007/s10354-021-00819-9 · Cited by 31
Mak, J. K. L., Reynolds, C. A., Hägg, S., Li, X., Ericsson, M., Pedersen, N. L., Jylhävä, J., & Kuja‐Halkola, R. (2021) · Aging · doi:10.18632/aging.203262 · Cited by 22
“To investigate these possible moderating effects, we adopted the full bivariate moderation models developed by Purcell [49], and the extended univariate moderation models proposed by van der Sluis et al [23] (Supplementary Figures 4, 5).”
Causes of variation in epigenetic aging across the lifespan
Li, S., Nguyen, T., Wong, E., Dugué, P., Dite, G., Armstrong, N., Craig, J., Mather, K., Sachdev, P., Saffery, R., et al. (2020) · medRxiv · doi:10.1101/2020.05.10.20097030 · Cited by 20
Stringa, N., Milaneschi, Y., van Schoor, N. M., Suanet, B., van der Lee, S. J., Holstege, H. H., Reinders, M. J. T., Beekman, A. T. F., & Huisman, M. A. (2020) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2020.02.011 · Cited by 20
“The association of PRS-D with baseline partner status was tested using logistic regression and the association between PRS-D with baseline social network and social support was tested using linear regression to test for the independence assumption: no GxE correlation (rGE), which could lead to spurious results in GxE…”
MethodGrasby, K. L., Coventry, W. L., Byrne, B., & Olson, R. K. (2017) · Child Development · doi:10.1111/cdev.12920 · Cited by 26
“Unmodeled gene–environment correlation can resemble gene–environment interaction (Purcell, 2002), and there is evidence that covariation between family SES and academic achievement is substantially due to shared genes (Krapohl & Plomin, 2015).”
BackgroundMethodInfluentialThe etiology of autistic traits in preschoolers: a population‐based twin study
de Zeeuw, E. L., van Beijsterveldt, C. E. M., Hoekstra, R. A., Bartels, M., & Boomsma, D. I. (2017) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12741 · Cited by 20
Socioeconomic Status Moderates Genetic and Environmental Effects on the Amount of Alcohol Use
Hamdi, N. R., Krueger, R., & South, S. (2015) · Alcoholism: Clinical and Experimental Research · doi:10.1111/acer.12673 · Cited by 20
“We chose this model over the univariate model by Purcell (2002) because the latter can produce false-positive effects.”
Human values: Genetic and environmental effects on five lexically derived domains and their facets
Renner, W., Kandler, C., Bleidorn, W., Riemann, R., Angleitner, A., Spinath, F. M., & Menschik-Bendele, J. (2011) · Personality and Individual Differences · doi:10.1016/j.paid.2011.09.003 · Cited by 18
Nes, R. B., Røysamb, E., Harris, J. R., Czajkowski, N., & Tambs, K. (2010) · Twin Research and Human Genetics · doi:10.1375/twin.13.4.312 · Cited by 26
“Presence of genotype–environment correlation (CorGE) may complicate the statistical procedures necessary for exploring gene–environment interaction (Purcell, 2002).”
BackgroundXie, Q., Zheng, M., Ho, C. S.-H., McBride, C., Fong, F. L. W., Wong, S. W. L., & Chow, B. W.-Y. (2022) · Behavior Genetics · doi:10.1007/s10519-021-10096-2 · Cited by 24
“However, simply exploring the importance of genetic as opposed to environmental contributions is not adequate for understanding complex human abilities because genetic contributions are likely to vary as a function of environmental influence (Purcell 2002).”
InfluentialFall, T., Kuja‐Halkola, R., Dobney, K. M., Westgarth, C., & Magnusson, P. K. E. (2019) · Scientific Reports · doi:10.1038/s41598-019-44083-9 · Cited by 57
Genetic Mapping of Milling Quality Traits in Lentil (Lens culinaris Medik.)
Subedi, M., Bett, K., Khazaei, H., & Vandenberg, A. (2018) · The Plant Genome · doi:10.3835/plantgenome2017.10.0092 · Cited by 19
“Complex traits are strongly influenced by the genotype × environment interaction, which leads to phenotypic variation beyond that caused by the genotype (Purcell, 2002; Long et al., 2007).”
Puberty, Socioeconomic Status, and Depression in Girls
Mendle, J., Moore, S. R., Briley, D. A., & Harden, K. P. (2015) · Clinical Psychological Science · doi:10.1177/2167702614563598 · Cited by 20
van der Aa, N., Bartels, M., Velde, S. J. T., Boomsma, D. I., de Geus, E. J. C., & Brug, J. (2012) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/archpediatrics.2011.1658 · Cited by 16
Estimation of Subject-Specific Heritabilities From Intra-Individual Variation: iFACE
Molenaar, P. C. M., Smit, D. J. A., Boomsma, D. I., & Nesselroade, J. R. (2012) · Twin Research and Human Genetics · doi:10.1017/thg.2012.9 · Cited by 19
“Mostquantitativegeneticmod-eling makes this assumption (but see Purcell, 2002, for a notable exception to this rule).”
Jones, K. H., York, T., Juusola, J., Ferreira-Gonzalez, A., Maes, H., & Jackson-Cook, C. (2011) · Mutagenesis · doi:10.1093/mutage/ger042 · Cited by 19
“Additional models that allowed for the contributions of additive genetic and environmental influences to vary as a function of age (30) provided no significant improvement in model fit (P 5 0.”
BackgroundJohnson, W., Penke, L., & Spinath, F. (2011) · doi:10.1002/per.v25.4 · Cited by 19
Edwards, A. C., Rose, R. J., Kaprio, J. A., & Dick, D. M. (2010) · Journal of Youth and Adolescence · doi:10.1007/s10964-010-9617-3 · Cited by 20
“The full details of this model can be found in Purcell (Purcell 2002); Fig.”
BackgroundO’Connor, S. M., Culbert, K. M., Mayhall, L. A., Burt, S. A., & Klump, K. L. (2019) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2019.11.001 · Cited by 20
“Following previous recommendations (Purcell, 2002), unstandardized estimates are reported in figures, as they more accurately depict absolute differences in etiologic effects than standardized estimates that represent differences as proportions of the total variance.”
BackgroundBurt, S. A., Pearson, A. L., Carroll, S. L., Klump, K. L., & Neiderhiser, J. M. (2019) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-019-00587-6 · Cited by 20
Nigg, J. (2018) · JAMA pediatrics · doi:10.1001/jamapediatrics.2018.0920 · Cited by 18
Social Relationships Moderate Genetic Influences on Heavy Drinking in Young Adulthood
Barr, P. B., Salvatore, J. E., MAES, H. H. M., Korhonen, T., Latvala, A., Alıev, F., Viken, R. J., Rose, R. J., Kaprio, J. A., & Dick, D. M. (2017) · Journal of Studies on Alcohol and Drugs · doi:10.15288/jsad.2017.78.817 · Cited by 19
“variance between a trait and moderator (Purcell, 2002; van der Sluis et al., 2012).”
BackgroundMethodResultInfluentialFacets of Subjective Health From Early Adulthood to Old Age
Franz, C., Finkel, D., Panizzon, M., Spoon, K. M., Christensen, K., Gatz, M., Kremen, W., Krueger, R., Neiderhiser, J., Reynolds, C., et al. (2016) · Journal of Aging and Health · doi:10.1177/0898264315625488 · Cited by 18
“A uthor M anuscript A uthor M anuscript A uthor M anuscript A uthor M anuscript variable, in this case age (Purcell, 2002).”
BackgroundMethodEstimating Modifying Effect of Age on Genetic and Environmental Variance Components in Twin Models
He, L., Sillanpää, M. J., Silventoinen, K., Kaprio, J. A., & Pitkäniemi, J. M. (2016) · Genetics · doi:10.1534/genetics.115.183905 · Cited by 17
“Another option is to adopt an existing parametric G 3 E interaction model proposed by Purcell in which age can be modeled by adding a moderator in a linear or quadratic form (Purcell 2002).”
Burt, S. A. (2015) · Child Development Perspectives · doi:10.1111/cdep.12136 · Cited by 16
Genetic and Environmental Overlap Between Childhood Maltreatment and Adult Physical Health
South, S. C., Schafer, M. H., & Ferraro, K. F. (2015) · Twin Research and Human Genetics · doi:10.1017/thg.2015.62 · Cited by 16
“…× environment interaction effects that we did not account for, which could bias the genetic effects; future research should utilize biometric moderation models to examine whether genetic and environmental influences on health differ as a function of level of child maltreatment (e.g., Purcell, 2002).”
Kandler, C. (2012) · Personality and Individual Differences · doi:10.1016/j.paid.2012.01.004 · Cited by 21
“By running structural equation twin model analyses allowing for interaction effects (see Fig. 1; Purcell, 2002), I investigated whether heritability estimates on the basis of peer reports increased with information accuracy of peer assessments.”
BackgroundThe Importance of Gene—Environment Interaction
North, K. E., & Martin, L. J. (2008) · Sociological Methods & Research · doi:10.1177/0049124108323538 · Cited by 16
“Indeed, consideration of the gene–environment interaction in quantitative and molecular studies will potentially direct and enhance gene-mapping efforts and lead to better understanding of the complexity of joint genetic and environmental factors in the pathogenesis of disease (Purcell 2002; Purcell and Sham 2002).”
BackgroundGene-environment interactions and correlations in psychiatric disorders
Lau, J. Y. F., & Eley, T. C. (2004) · Current Psychiatry Reports · doi:10.1007/s11920-004-0051-7 · Cited by 15
“Instead, the model needs to take into account that genetic effects may increase or decrease as a linear function of the environmental moderator [ 15 ].”
BackgroundMethodCarlson, M. D., Mendle, J., & Harden, K. P. (2014) · Developmental Psychology · doi:10.1037/a0035479 · Cited by 19
Giangrande, E. J., & Turkheimer, E. N. (2021) · Perspectives on Psychological Science · doi:10.1177/17456916211017498 · Cited by 21
“Although this sort of constraint was once standard practice in genetic analyses of Heritability × Phenotype interaction (Purcell, 2002), constraining ACE estimates can bias the results of interaction analyses, deflating interaction effects (Turkheimer et al., 2017).”
BackgroundUse of the Twin Design to Examine Evocative Gene-Environment Effects within a Conversational Context
DeThorne, L., & Hart, S. (2009) · European Journal of Developmental Science · doi:10.3233/dev-2009-3207 · Cited by 17
“All three forms of rGE have the potential to distort estimates of genetic and environmental effects (Plomin et al., 1977; Purcell, 2002).”
de Zeeuw, E. L., van Beijsterveldt, C. E. M., Lubke, G. H., Glasner, T. J., & Boomsma, D. I. (2015) · Behavior Genetics · doi:10.1007/s10519-015-9712-z · Cited by 17
“1) (Purcell 2002).”
MethodKnigge, A., Maas, I., Stienstra, K., de Zeeuw, E. L., & Boomsma, D. I. (2022) · npj Science of Learning · doi:10.1038/s41539-022-00122-1 · Cited by 23
Mönkediek, B. (2020) · Journal of Family Research · doi:10.20377/jfr-381 · Cited by 23
“In such cases, extensions of the CTD that deal with GxE and rGE are available and can be utilized (Purcell 2002; Verhulst & Hatemi 2013: 368-369, 371).”
MethodTaylor, J. E., Erbeli, F., Hart, S. A., & Johnson, W. (2019) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13134 · Cited by 23
“—Purcell (2002) introduced a model for testing moderation on the variance in A, C, and E while accounting for possible gene-environment correlation (the association of variability in the environment with variability in genetic influences).”
Do neighborhood social processes moderate the etiology of youth conduct problems?
Burt, S. A., Clark, D. A., Pearson, A. L., Klump, K. L., & Neiderhiser, J. M. (2019) · Psychological Medicine · doi:10.1017/s0033291719001521 · Cited by 22
“In the current study, we fitted the ‘univariate GxE’ model (Purcell, 2002), as shown in online Supplementary Fig.”
BackgroundMethodTurkheimer, E. N., Beam, C. R., Sundet, J. M., & Tambs, K. (2017) · Behavior Genetics · doi:10.1007/s10519-017-9857-z · Cited by 20
“Although the modified Purcell model we have used accounted for continuous changes in the variance of GA as a function of parental education, it does not address the root cause of the heteroscedasticity, which is that increasing cognitive ability over time led to a ceiling effect in the measurement of GA, as shown in F…”
MethodInfluentialGenes, Culture and Conservatism-A Psychometric-Genetic Approach
Schwabe, I., Jonker, W., & van den Berg, S. M. (2015) · Behavior Genetics · doi:10.1007/s10519-015-9768-9 · Cited by 17
“This can be done, for example, by using the genotype-environment parametrization introduced by Purcell (2002) by regressing moderators directly on the genotypic value.”
South, S., & Jarnecke, A. M. (2015) · Behavior Genetics · doi:10.1007/s10519-015-9716-8 · Cited by 16
Johnson, W., de Ruiter, I., Kyvik, K. O., Murray, A. L., & Sørensen, T. I. A. (2014) · Behavior Genetics · doi:10.1007/s10519-014-9690-6 · Cited by 18
“More importantly, however, our analysis was based on a much more powerful model that considers both influences common to adiposity and physical activity and unique to each of them (Johnson 2007; Purcell 2002), and compared results to those from recently recommended possible nonlinear-main-effect alternatives (van Hull…”
InfluentialSalvas, M., Vitaro, F., Brendgen, M. R., Dionne, G., Tremblay, R. E., & Boivin, M. (2014) · Developmental Psychology · doi:10.1037/a0036419 · Cited by 18
“Such a possible gene–environment correlation needs to be controlled when testing for potential gene–environment interactions because the same environmental factor may simultaneously be involved in both mechanisms with respect to the developmental outcome (Purcell, 2002).”
BackgroundGene—Environment Interaction in Panic Disorder and Posttraumatic Stress Disorder
Battaglia, M. (2013) · The Canadian Journal of Psychiatry · doi:10.1177/070674371305800202 · Cited by 16
Genetics and the Family Environment
Eley, T. C., & Lau, J. Y. F. (2005) · Elsevier eBooks · doi:10.1016/b978-008044449-9/50002-2 · Cited by 14
van der Aa, N., Boomsma, D. I., Rebollo-Mesa, I., Hudziak, J. J., & Bartels, M. (2010) · Twin Research and Human Genetics · doi:10.1375/twin.13.2.143 · Cited by 20
“To test for interaction between sex and genetic and environmental influences, the method as proposed by Purcell (2002) was used.”
MethodAlo, F., Rani, A. R., Baum, M., Singh, S., Kehel, Z., Rani, U., Udupa, S. M., Al-Shamaa, K., Alsamman, A. M., Istanbuli, T., et al. (2022) · Frontiers in Plant Science · doi:10.3389/fpls.2022.762002 · Cited by 16
“…and site, and year were detected for AB reaction, which could be attributed to differences in total precipitation during the growing seasons (Table 2), as also reported also by Kemal et al. (2017), or to differences in virulence spectra of isolates and populations of the pathogen (Purcell, 2002).”
ResultUnderstanding the effects of neighborhood disadvantage on youth psychopathology
Carroll, S. L., Klump, K. L., & Burt, S. A. (2022) · Psychological Medicine · doi:10.1017/s0033291721005080 · Cited by 17
“For this study, we fitted the ‘univariate GxE’ model (Purcell, 2002), as shown in Supplementary Fig.”
InfluentialSlutske, W., Deutsch, A. R., & Piasecki, T. (2018) · Psychological Medicine · doi:10.1017/s0033291718001095 · Cited by 15
Jolicoeur‐Martineau, A., Wazana, A. D., Székely, E., Steiner, M. S., Fleming, A. S., Kennedy, J. L., Meaney, M. J., & Greenwood, C. M. T. (2018) · Psychological Methods · doi:10.1037/met0000175 · Cited by 19
Genotype × Environment Interaction in Smoking Behaviors: A Systematic Review
Do, E., & Maes, H. (2016) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntw153 · Cited by 15
Eaves, L. J., & Verhulst, B. (2014) · Behavior Genetics · doi:10.1007/s10519-014-9674-6 · Cited by 14
“Although the point had been made on several occasions (see e.g. Eaves and Eysenck 1977; Purcell 2002), a recent paper (Eaves 2014) reiterated the implications of common problems of measurement in psychiatric genetics for the detection of interaction between measured environmental covariates and…”
Metadata
- Authors
- Purcell, S.
- Affiliations
- King's College London (GB)
- Corresponding author
- Purcell, Shaun
- ORCID
- Purcell, Shaun
- Venue
- Twin Research
- Publisher
- Cambridge University Press (CUP)
- Published
- 2002-12-01
- Volume
- 5
- Issue
- 6
- Pages
- 554-571
- ISSN
- 1369-0523 (ISSN-L)
- 0000-0000
- OpenAlex
- W2052208159
- Cited by
- 924
- References
- 0
- Citations by year
- 2026: 20 · 2025: 26 · 2024: 27 · 2023: 39 · 2022: 52 · 2021: 40 · 2020: 50 · 2019: 36 · 2018: 37 · 2017: 54 · 2016: 49 · 2015: 60 · 2014: 56 · 2013: 46 · 2012: 45
- FWCI
- 6.21
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Twin Research (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Medical Research Council
- National Eye Institute (EY12562, R01EY012562)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Assisted Reproductive Technology and Twin Pregnancy
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Keywords
- gene-environment interaction, variance component models, gene-environment correlation, environmental moderators, individual differences, quantitative trait loci, gene mapping, nonlinear interactions, environmental pathways
- MeSH terms
- Computer Simulation, Environment, Genetics, Behavioral, Humans, Models, Genetic, Twins
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