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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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Items 501–600 of 828
Dick, D. M. (2011) · Research in Human Development · doi:10.1080/15427609.2011.625317 · Cited by 11
“rural environments), or through a subsequent extension of the twin model (Dick, Rose, Viken, Kaprio, & Koskenvuo, 2001; Purcell, 2002) allowing one to test for changes in genetic and environmental influences as a function of a more continuous environmental measure (e.”
BackgroundMixed Effects Models for Quantitative Trait Loci Mapping With Inbred Strains
Bauman, L., Sinsheimer, J., Sobel, E., & Lange, K. (2008) · Genetics · doi:10.1534/genetics.108.091058 · Cited by 15
“These techniques apply both to continuous traits (Pletcher 1999; Pletcher and Geyer 1999; Jaffréic and Pletcher 2000; Pletcher and Jaffréic 2002; Purcell 2002; Purcell and Sham 2002; Meyer and Kirkpatrick 2005) and to categorical traits (Towne et al. 1997; Viel et al. 2005).”
MethodMcCaffery, J. M., Papandonatos, G. D., Lyons, M. J., & NIAURA, R. S. (2008) · Psychosomatic Medicine · doi:10.1097/psy.0b013e3181817be6 · Cited by 14
“As shown in the study by Purcell (12), the between-pair component contributes to shared environment and/or gene shared environment interaction, whereas the within-pair component contributes to nonshared environment and/or gene nonshared environment interaction.”
BackgroundMethodInfluentialvan Beijsterveldt, T. V., & Boomsma, D. (2008) · Twin Research and Human Genetics · doi:10.1375/twin.11.2.143 · Cited by 15
“In the classical twin design, variance due to interactions between shared environmental risk factors and genotype is included in the estimate of the genetic variance component, if not modeled explicitly (Molenaar et al., 1990; Purcell, 2002).”
BackgroundReichborn-Kjennerud, T., Røysamb, E., Tambs, K., Torgersen, S., Kringlen, E., Magnus, P., & Harris, J. R. (2004) · Psychological Medicine · doi:10.1017/s0033291704002399 · Cited by 15
“In short, ArC interaction acts like A, and ArE interaction acts like E (Purcell, 2002).”
BackgroundGenetics and education: Toward a genetically sensitive classroom.
Haworth, C. M. A., & Plomin, R. J. (2011) · American Psychological Association eBooks · doi:10.1037/13273-018 · Cited by 15
Gene–Environment Interplay Between Physical Exercise and Fitness and Depression Symptomatology
Johnson, W., Mortensen, E. L., & Kyvik, K. O. (2020) · Behavior Genetics · doi:10.1007/s10519-020-10009-9 · Cited by 14
“We know exactly what kinds of effects violations of these assumptions have on model results, but we generally do not know which or to what degrees violations are present (Johnson 2007; Purcell 2002).”
BackgroundGenetic and environmental determinants of variation in the plasma lipidome of older Australian twins
Wong, M. W. K., Thalamuthu, A., Braidy, N., Mather, K. A., Liu, Y., Ciobanu, L. G., Baune, B. T., Armstrong, N. J., Kwok, J. B., Schofield, P. R., et al. (2020) · eLife · doi:10.7554/elife.58954 · Cited by 18
“Age-related change in heritability was examined using a gene-environment interaction model (Purcell, 2002).”
MethodMultivariate analysis of the Scarr-Rowe interaction across middle childhood and early adolescence
Giangrande, E. J., Beam, C. R., Carroll, S. L., Matthews, L. J., Davis, D. W., Finkel, D., & Turkheimer, E. N. (2019) · Intelligence · doi:10.1016/j.intell.2019.101400 · Cited by 16
“1; Turkheimer et al., 2017), which differs from the commonly used Purcell model (Purcell, 2002) in several important ways.”
Gene–Environment Correlation in Humans: Lessons from Psychology for Quantitative Genetics
Saltz, J. B. (2019) · Journal of Heredity · doi:10.1093/jhered/esz027 · Cited by 21
“For a discussion of the uses of variance partitioning approaches in quantitative genetics, see Purcell (2002). rGE in the “Post-Genomics” Era The easy accessibility of full-genome sequences has revolutionized genetics, including rGE research.”
MethodSouth, S. C., Hamdi, N. R., & Krueger, R. F. (2015) · Journal of Personality · doi:10.1111/jopy.12231 · Cited by 16
“Purcell (2002) recommended also plotting and presenting the results of the unstandardized variance components.”
InfluentialFinkel, D., Franz, C., Horwitz, B. N., Christensen, K., Gatz, M., Johnson, W., Kaprio, J., Korhonen, T., Niederheiser, J., Petersen, I., et al. (2015) · Behavior Genetics · doi:10.1007/s10519-015-9758-y · Cited by 14
“variate twin model in which age and marital status were included as moderating variables (Purcell 2002; Van der Sluis et al. 2008).”
Vermeiren, A. P. A., Bosma, H., Gielen, M., Lindsey, P. J., Derom, C. A., VLIETINCK, R. F., Loos, R. J. F., & Zeegers, M. P. (2012) · European Journal of Public Health · doi:10.1093/eurpub/cks167 · Cited by 11
Genetic amplification and the individualization of the parent–child relationship across adolescence
Ludeke, S. G., Johnson, W., McGue, M., & Iacono, W. G. (2012) · Psychological Medicine · doi:10.1017/s0033291712001201 · Cited by 17
Boutwell, B. B., Beaver, K. M., Barnes, J. C., & Vaske, J. C. (2012) · Psychiatry Research · doi:10.1016/j.psychres.2011.12.032 · Cited by 14
Hur, Y., MacGregor, A. J., Cherkas, L. M., Williams, F. M. K., & Spector, T. D. (2012) · Behavior Genetics · doi:10.1007/s10519-012-9541-2 · Cited by 17
“This first step served as a preliminary analysis to confirm the results of analyses in the second step where we performed model-fitting analyses incorporating age as a continuous moderator (Purcell 2002).”
Li, X., McGue, M. K., & Gottesman, I. I. (2011) · Behavior Genetics · doi:10.1007/s10519-011-9506-x · Cited by 16
“To further confirm that the specific genetic component (Ag) works regardless of the SLE level, we incorporated gene-environment interaction terms (Purcell 2002) into the bivariate model to examine the moderation effect of SLE on the paths from As ? depressive symptoms, and from Ag ? depressive symptoms (Fig.”
MethodKristjansson, S. D., Arpana Agrawal, A., Lessov‐Schlaggar, C. N., Madden, P. A. F., Cooper, M. L., Bucholz, K. K., Sher, K. J., Lynskey, M. T., & Heath, A. C. (2011) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2011.01596.x · Cited by 15
“Importantly, because the minor allele frequencies did not differ between the groups, the results described later cannot be explained by gene–environment correlations (Purcell, 2002; Scarr andMcCartney, 1983).”
Genetic Thinking in the Study of Social Relationships
Reiss, D. (2010) · Perspectives on Psychological Science · doi:10.1177/1745691610383516 · Cited by 15
“New analytic techniques have been developed to estimate these interactions (Purcell, 2002).”
BackgroundGene–environment interactions and their impact on the development of personality traits
Burt, S. A. (2008) · Psychiatry · doi:10.1016/j.mppsy.2008.10.005 · Cited by 20
Genetic and Environmental Influences on Achievement Goal Orientations Shift with Age
Zheng, A., Briley, D. A., Malanchini, M., Tackett, J. L., Harden, K. P., & Tucker–Drob, E. M. (2019) · European Journal of Personality · doi:10.1002/per.2202 · Cited by 20
Faßbender, K., Wiebe, A. W., & Bates, T. C. (2019) · Behavior Genetics · doi:10.1007/s10519-018-9943-x · Cited by 15
“This was done using univariate interaction models specified in Purcell (2002).”
MethodDetection of gene–environment interaction in pedigree data using genome-wide genotypes
Nivard, M. G., Middeldorp, C. M., Lubke, G. H., Hottenga, J., Abdellaoui, A., Boomsma, D. I., & Dolan, C. V. (2016) · European Journal of Human Genetics · doi:10.1038/ejhg.2016.88 · Cited by 10
Hulle, C. V. V., & Rathouz, P. (2015) · Twin Research and Human Genetics · doi:10.1017/thg.2014.81 · Cited by 13
“Model (3) is the ‘Cholesky GxM’ model proposed by Purcell (2002), and model (4) is a special case of (3) proposed by Rathouz et al.”
BackgroundMethodInfluentialDrinking Motives in Female Smokers: Factor Structure, Alcohol Dependence, and Genetic Influences
Kristjansson, S. D., Arpana Agrawal, A., Littlefield, A. K., Pergadia, M. L., Lessov‐Schlaggar, C. N., Sartor, C. E., Bucholz, K. K., Madden, P. A. F., Cooper, M. L., Sher, K. J., et al. (2010) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2010.01350.x · Cited by 13
“However, this constitutes a latent genetic– smoking correlation (rGE; Purcell, 2002; Scarr and McCartney, 1983)—our analyses control for rGE to some extent by allowing for smoking to mediate motive scores.”
BackgroundFinding gene-environment interactions for generalised anxiety disorder
Gregory, A. M., Lau, J. Y. F., & Eley, T. C. (2008) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-007-0785-4 · Cited by 17
“Perhaps more directly relevant to the issue of G · E, it is possible to examine whether estimated genetic influences interact with measured environmental influences on a trait using twin data [53].”
BackgroundLevel of family dysfunction and genetic influences on smoking in women
Kendler, K., Aggen, S., Prescott, C., Jacobson, K., & Neale, M. (2004) · Psychological Medicine · doi:10.1017/s0033291704002417 · Cited by 13
“A recent series of power analyses assuming a continuous dependent variable suggests that the method has reasonable power for sample sizes on the order of those studied in this report (Purcell, 2002).”
BackgroundGenetic Influences on Depression and Anxiety in Childhood and Adolescence
Rice, F. J. (2014) · Springer eBooks · doi:10.1007/978-1-4614-9509-3_3 · Cited by 9
Gene by Environment Interplay in Cognitive Aging
Reynolds, C. A., Finkel, D., & Zavala, C. (2013) · Springer eBooks · doi:10.1007/978-1-4614-7447-0_6 · Cited by 14
Johnson, W., McGue, M. K., & Deary, I. J. (2013) · Springer eBooks · doi:10.1007/978-1-4614-7447-0_5 · Cited by 9
The special role of middle childhood in self‐control development: Longitudinal and genetic evidence
Pener‐Tessler, R., Markovitch, N., & Knafo‐Noam, A. (2022) · Developmental Science · doi:10.1111/desc.13270 · Cited by 15
On the Etiology of Self-Enhancement and Its Association With Psychological Well-Being
Luo, Y. L. L., Sedikides, C., & Cai, H. (2019) · Social Psychological and Personality Science · doi:10.1177/1948550619877410 · Cited by 14
“This overlooks the possibility that genetic factors may correlate or interact with environmental factors in complex ways (Purcell, 2002).”
BackgroundSlutske, W. S., Deutsch, A. R., & Piasecki, T. M. (2018) · Addiction · doi:10.1111/add.14534 · Cited by 13
Understanding “What Could Be”: A Call for ‘Experimental Behavioral Genetics’
Burt, S. A., Plaisance, K. S., & Hambrick, D. Z. (2018) · Behavior Genetics · doi:10.1007/s10519-018-9918-y · Cited by 18
“…will be conducted as follows: We will first confirm that the etiologies of mindset, grit, locus of control, challenge-seeking behavior, and cognitive ability, respectively, do not vary across the two intervention groups de novo (i.e., Phase 1) via Purcell’s univariate G×E model (Purcell 2002).”
BackgroundClark, D. A., Klump, K. L., & Burt, S. A. (2018) · Developmental Psychology · doi:10.1037/dev0000522 · Cited by 16
Effects of Social Attitude Change on Smoking Heritability
Mezquita, L., Sánchez-Romera, J. F., Ibáñez, M. I., Morosoli, J. J., Colodro‐Conde, L., Ortet, G., & Ordoñana, J. R. (2017) · Behavior Genetics · doi:10.1007/s10519-017-9871-1 · Cited by 13
“Second, in order to investigate G × E, we combined the general sex-limitation model (Neale and Maes 2004) with the Purcell approach for the binary and continuous moderators (Purcell 2002), and applied them to lifetime and number of years smoking.”
Age at fatherhood: heritability and associations with psychiatric disorders
Frans, E. M., Lichtenstein, P., Hultman, C. M., & Kuja‐Halkola, R. (2016) · Psychological Medicine · doi:10.1017/s0033291716001744 · Cited by 12
“In order to estimate if the parameters describing the ACE model were stable over time we allowed the relative contributions of A, C and E to vary with offspring birth year (Purcell, 2002).”
BackgroundRomantic Relationship Satisfaction Moderates the Etiology of Adult Personality
South, S. C., Krueger, R. F., Elkins, I. J., Iacono, W. G., & McGue, M. K. (2015) · Behavior Genetics · doi:10.1007/s10519-015-9767-x · Cited by 11
“bivariate biometric moderation model (Purcell 2002) with relationship satisfaction as the moderator, for a total of 14 models with moderation parameters freely estimated.”
InfluentialMolenaar, D., Middeldorp, C. M., van Beijsterveldt, T., & Boomsma, D. I. (2015) · Child Development · doi:10.1111/cdev.12451 · Cited by 9
“Such studies model genetic influences as latent effects on the phenotype and test whether these genetic effects are moderated by the environmental variables (e.g., Boomsma, de Geus, van Baal, & Koopmans, 1999; Purcell, 2002).”
BackgroundMethodResultInfluentialWettstein, A., Brendgen, M., Vitaro, F., Guimond, F.-A., Forget-Dubois, N., Cantin, S., Dionne, G., & Boivin, M. (2013) · doi:10.1108/jacpr-11-2012-0011 · Cited by 12
The South Korean Twin Registry
Hur, Y., Kang, M. C., Jeong, H., Kang, I., & Kim, J. W. (2006) · Twin Research and Human Genetics · doi:10.1017/thg.2019.115 · Cited by 12
Assary, E., Vincent, J., Machlitt‐Northen, S., Keers, R., & Pluess, M. (2020) · Springer eBooks · doi:10.1007/978-3-030-35213-4_7 · Cited by 18
Gene–Environment Interaction in the Behavioral Sciences: Findings, Challenges, and Prospects
McGue, M. K., & Carey, B. E. (2017) · Springer eBooks · doi:10.1007/978-3-319-49227-8_3 · Cited by 12
Morneau‐Vaillancourt, G., Palaiologou, E., Polderman, T. J. C., & Eley, T. C. (2024) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.14099 · Cited by 13
“These results also need to be interpreted taking into consideration that GxE may be biassed in the presence of unobserved rGE (Purcell, 2002; Rathouz, van Hulle, Rodgers, Wald-man, & Lahey, 2008; van der Sluis, Posthuma, & Dolan, 2012).”
Zhang, H., Khan, A. A., & Rzhetsky, A. (2022) · Cell Reports Medicine · doi:10.1016/j.xcrm.2022.100736 · Cited by 11
Holden, L. R., Haughbrook, R., & Hart, S. (2021) · New Directions for Child and Adolescent Development · doi:10.31234/osf.io/gf3hc · Cited by 11
Carroll, S. L., Shewark, E. A., Hyde, L. W., Klump, K. L., & Burt, S. A. (2021) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2021.07.004 · Cited by 14
“(A) Path diagram of the full linear moderation model (21).”
InfluentialCannabis Use in College: Genetic Predispositions, Peers, and Activity Participation
Thomas, N., Salvatore, J., Gillespie, N., Aliev, F., Ksinan, A., & Dick, D. (2020) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2020.108489 · Cited by 11
“Previous studies suggest that rGE can lead to overestimation of genetic variance in twin studies (Purcell, 2002) and spurious moderation effects in molecular genetic studies (Jaffee and Price, 2007).”
BackgroundKolbe, L., Jorgensen, T. D., & Molenaar, D. (2020) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2020.1766357 · Cited by 21
“For more details about MNLFA and its precursors, see Mehta and Neale (2005), Molenaar et al. (2010), Neale (1998), Neale et al. (2006), and Purcell (2002).”
BackgroundBeyond Our Genes: Pathophysiology of Gene and Environment Interaction and Epigenetic Inheritance
Teperino, R. (2020) · Anticancer Research · doi:10.1007/978-3-030-35213-4 · Cited by 11
“Min-max value from two studies are presented (BPA [17, 96]; phthalates [21, 118]; PCBs [17, 105]; PFAS [17, 195]; PBDEs [17, 23])”
MethodKornadt, A. E., Hufer, A., Kandler, C., & Riemann, R. (2018) · PLoS ONE · doi:10.1371/journal.pone.0202518 · Cited by 12
Ni, G., van der Werf, J. V. D., Zhou, X., Hyppönen, E., Wray, N., & Lee, H.-S. (2018) · bioRxiv · doi:10.1101/377796 · Cited by 11
Spengler, M., Gottschling, J., Hahn, E., Tucker–Drob, E. M., Harzer, C., & Spinath, F. M. (2018) · PLoS ONE · doi:10.1371/journal.pone.0196597 · Cited by 16
Moscati, A., Verhulst, B., McKee, K. L., Silberg, J. L., & Eaves, L. J. (2017) · Behavior Genetics · doi:10.1007/s10519-017-9882-y · Cited by 13
“Difference scores therefore also remove the sort of passive rGE characterized by correlation between additive genetic effects and the shared environment, since correlation between A and C acts like C (Purcell 2002), and C factors (or shared environmental factors) are removed in difference scores.”
Genetic and Environmental Sources of Individual Differences in Views on Aging
Kornadt, A., & Kandler, C. (2017) · Psychology and Aging · doi:10.1037/pag0000174 · Cited by 11
“To address the role of participants’ age moderating genetic and environmental influences, the same models (without controlling for personality) were extended by age as a moderator variable (model elements of Figure 1 with dashed lines; see also Purcell, 2002).”
BackgroundMethodNikolas, M. A., & Momany, A. M. (2017) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-017-0264-y · Cited by 11
Cohen‐Cline, H., Lau, R., Moudon, A. V., Turkheimer, E. N., & Duncan, G. E. (2015) · Twin Research and Human Genetics · doi:10.1017/thg.2015.33 · Cited by 9
“…the proportion of variance in phenotype due to shared environment (C) is the same for MZ and DZ twins (Grayson, 1989; Rijsdijk & Sham, 2002), and because it further assumes the absence of gene-environment interactions and correlations (Purcell, 2002; Rijsdijk & Sham, 2002).”
van Beek, J. H. D. A., de Moor, M. H. M., Geels, L. M., Willemsen, G. A. H. M., & Boomsma, D. I. (2014) · Journal of Studies on Alcohol and Drugs · doi:10.15288/jsad.2014.75.201 · Cited by 11
“When not explicitly incorporated in the model, positive interactions will be estimated as variance due to nonshared environment, whereas positive A × C interactions will be estimated as variance due to additive genetic effects (Purcell, 2002).”
BackgroundInfluentialSlane, J. D., Klump, K. L., McGue, M., & Iacono, G. (2014) · European Eating Disorders Review · doi:10.1002/erv.2284 · Cited by 14
“G×E model; a model testing whether genetic and/or environment influences on a trait/disorder differ by levels of a moderator) was examined (Purcell, 2002).”
BackgroundMethodConsequences of a network view for genetic association studies
van der Sluis, S., Kan, K.-J., & Dolan, C. (2010) · Behavioral and Brain Sciences · doi:10.1017/s0140525x10000701 · Cited by 11
Huppertz, C., Bartels, M., de Zeeuw, E. L., van Beijsterveldt, C. E. M., Hudziak, J. J., Willemsen, G. A. H. M., Boomsma, D. I., & de Geus, E. J. C. (2016) · Behavior Genetics · doi:10.1007/s10519-016-9799-x · Cited by 64
“Next, a model specifying the genetic and environmental architecture of the liability to exercise behavior was fitted to the data, namely a moderation model with linear and quadratic effects of z-transformed age as moderators on the means and variance components (Medland et al. 2009; Purcell 2002; Purcell and Koenen 20…”
MethodGenome-wide association studies (GWAS) and post-GWAS analyses of impulsivity: A systematic review
Wang, J., Gu, R., Kong, X., Luan, S., & Luo, Y. L. L. (2024) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2024.110986 · Cited by 11
Li, L., Taylor, M. J., Bälter, K. A., Xie, T., Solberg, B. S., Haavik, J., Vásquez, A. A., Hartman, C. A., & Larsson, H. (2021) · Genes · doi:10.3390/genes13010047 · Cited by 14
“Finally, although the findings suggested the presence of a G × E interaction between ADHD symptoms and dietary habits, they may be partly explained by G × E correlation, which reflects genetic differences in the exposure to particular environments [35,45].”
BackgroundMethodZheng, Y., Brendgen, M., Girard, A., Dionne, G., Boivin, M., & Vitaro, F. (2019) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2019.07.005 · Cited by 10
Increased environmental sensitivity in high mathematics performance
Schwabe, I., Boomsma, D., & van den Berg, S. M. (2017) · doi:10.1016/j.lindif.2017.01.018 · Cited by 10
“…talented ones receive tests with very difficult items, future research should focus on the exact nature of the genotype-environment interaction, for example by using the parametrization introduced by Purcell (2002) that regresses measured environmental moderators directly on the genotypic value.”
MethodFriendship Experiences and Anxiety Among Children: A Genetically Informed Study
Poirier, C. S., Brendgen, M. R., Girard, A., Vitaro, F., Dionne, G., & Boivin, M. (2015) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2014.987382 · Cited by 20
“Controlling for such possible rGE is important when examining G E to avoid biased conclusions (Purcell, 2002).”
BackgroundEducation and BMI: a genetic informed analysis
Bella, S. D., & Lucchini, M. (2014) · Quality & Quantity · doi:10.1007/s11135-014-0129-1 · Cited by 12
Zheng, H., Hulle, C. V. V., & Rathouz, P. (2015) · Behavior Genetics · doi:10.1007/s10519-015-9710-1 · Cited by 10
“Models for testing GxM The remainder of the models explores GxM interactions through various specifications for P. Purcell (2002) proposed an extension of the Cholesky model with GxM (CholGxM), P¼lPþðaCþaCMÞAMþðcCþjCMÞCMþðeCþeCMÞEM þðaUþaUMÞAUþðcUþjUMÞCUþðeUþeUMÞEU ; ð2Þ where lP is the intercept…”
InfluentialHur, Y. (2014) · Twin Research and Human Genetics · doi:10.1017/thg.2014.61 · Cited by 10
“A standard univariate twin model incorporating age as a moderator (age-moderation model) was applied to the raw data (Figure 1; Purcell, 2002).”
MethodKorhonen, T., Loukola, A., Wedenoja, J., Nyman, E., Latvala, A., Broms, U., Häppölä, A., Paunio, T., Schrage, A. J., Vink, J. M., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0098199 · Cited by 10
“The model takes into account the phenotypic association between the two traits [27].”
BackgroundJohnson, W., & Bouchard, T. J. (2014) · Wiley eBooks · doi:10.1002/9781118367377.ch14 · Cited by 10
“The effects of these violations on the resulting estimates of genetic and environmental influences are well known (Purcell, 2002).”
BackgroundGene–Environment Interplay Between Number of Friends and Prosocial Leadership Behavior in Children
Rivizzigno, A. S., Brendgen, M. R., Feng, B., Vitaro, F., Dionne, G., Tremblay, R. E., & Boivin, M. (2014) · Merrill-palmer Quarterly · doi:10.13110/merrpalmquar1982.60.2.0110 · Cited by 10
“Moreover, inclusion of interactions with latent environmental factors is crucial to examine whether the moderating effect of the measured environment variable is specific to the latent genetic variance components or whether it increases variation over the entire range of the phenotypic distribution (Purcell, 2002).”
BackgroundInfluentialKandler, C., Zapko–Willmes, A., Richter, J., & Riemann, R. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-813995-0.00007-8 · Cited by 17
Waldron, M., Heath, A. C., Turkheimer, E. N., Emery, R. E., Nelson, E. C., Bucholz, K. K., Madden, P. A. F., & Martin, N. G. (2007) · Behavior Genetics · doi:10.1007/s10519-007-9176-x · Cited by 9
“Because the main effect of CSA was non-significant, results suggest minimal bias resulting from confounded gene‐environment correlation ( Purcell 2002 ).”
BackgroundInfluentialBadini, I., Jayaweera, K., Pannala, G., Adikari, A., Siribaddana, S., Sumathipala, A., McAdams, T. A., Harber-Aschan, L., Hotopf, M. H., Rijsdijk, F. V., et al. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.07.084 · Cited by 8
Oginni, O. A., Lim, K. X., Rahman, Q., Jern, P., Eley, T. C., & Rijsdijk, F. V. (2022) · Behavior Genetics · doi:10.1007/s10519-022-10130-x · Cited by 10
“To minimize the false positive moderation of causal effects, we also specified moderation coefficients for the instrumental and pleiotropic paths, the A and E variance component paths and the A covariance path (Purcell, 2002).”
BackgroundPubertal emergence of testosterone effects on depressive symptoms in boys
Culbert, K. M., Roa, A. M., Stevens, K. S., Sisk, C. L., Burt, S. A., & Klump, K. L. (2022) · JCPP Advances · doi:10.1002/jcv2.12088 · Cited by 9
“…twin moderation models) to test potential genetic effects since these techniques require several hundred twin pairs for adequate statistical power (Purcell, 2002), but results from twin intraclass correlations (see post hoc analyses; Figure S1) provide tentative evidence that lower levels of…”
BackgroundKirkpatrick, R. M., Pritikin, J. N., Hunter, M. D., & Neale, M. C. (2021) · Behavior Genetics · doi:10.1007/s10519-020-10037-5 · Cited by 12
Burgoyne, A. P., Carroll, S. L., Clark, D. A., Hambrick, D. Z., Plaisance, K. S., Klump, K. L., & Burt, S. A. (2020) · Learning and Motivation · doi:10.1016/j.lmot.2020.101683 · Cited by 11
“Consistent with prior recommendations (Purcell, 2002), all reported parameter estimates from the G × E models are unstandardized so as not to obscure absolute changes with the moderator.”
BackgroundMethodInfluentialWang, B., Wu, T., Neale, M. C., Verweij, R., Liu, G., Su, S., & Snieder, H. (2020) · Hypertension · doi:10.1161/hypertensionaha.120.15232 · Cited by 14
Bruins, S., Dolan, C. V., & Boomsma, D. I. (2020) · Twin Research and Human Genetics · doi:10.1017/thg.2020.76 · Cited by 8
“For instance, (unmodeled) covariance between A (additive genetic variable) and C (shared environmental variable) biases the estimate of the shared environmental variance (σC) in the classical twin ACE model (Eaves et al., 1977; Keller et al., 2010; Keller et al., 2009; Purcell, 2002).”
BackgroundHur, Y., Jeong, H., Ajose, F. O. A., & Knafo‐Noam, A. (2019) · Twin Research and Human Genetics · doi:10.1017/thg.2018.71 · Cited by 12
“As there were no significant shared genetic effects in FRA and PB, the univariate G × E interaction model (Figure 2; Purcell, 2002) was applied to the data to determine whether genetic and environmental contributions to PB vary as a function of the moderator, FRA.”
InfluentialSocioeconomic Status and Adolescent Alcohol Involvement: Evidence for a Gene–Environment Interaction
Davis, C. N., & Slutske, W. S. (2018) · Journal of Studies on Alcohol and Drugs · doi:10.15288/jsad.2018.79.725 · Cited by 10
“This removed potential genetic effects shared between alcohol involvement and income/parental education (Purcell, 2002).”
BackgroundHeritability of Cold and Heat Patterns: A Twin Study
Hur, Y., Yu, H., Jin, H., & Lee, S. (2018) · Twin Research and Human Genetics · doi:10.1017/thg.2018.17 · Cited by 11
“A standard twin model incorporating age as a moderator (Neale and Cardon, 1992; Purcell, 2002) was applied to the raw data for the CP and the HP, respectively.”
MethodCountry-by-genotype-by-environment interaction in childhood academic achievement
de Zeeuw, E. L., & Boomsma, D. I. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1718938115 · Cited by 17
“To take such GE covariation into account, the statistical GxE interaction model used by Figlio et al. (1) included a main effect of SES on academic measures; as such, the genotype × SES interaction effect only moderated the variance in academic achievement that is independent from SES (14, 15).”
MethodParental involvement as an etiological moderator of middle childhood oppositional defiant disorder.
Li, I., Clark, D. A., Klump, K. L., & Burt, S. A. (2017) · Journal of Family Psychology · doi:10.1037/fam0000311 · Cited by 8
“We sought to further confirm these results using the bivariate gene-environment interaction model (Purcell, 2002), as recommended by van der Sluis et al.”
InfluentialTurkheimer, E. N., Beam, C. R., & Davis, D. W. (2015) · Behavior Genetics · doi:10.1007/s10519-015-9760-4 · Cited by 11
A GENERALIZED DEFRIES-FULKER REGRESSION FRAMEWORK FOR THE ANALYSIS OF TWIN DATA
Lazzeroni, L., & Ray, A. (2012) · Behavior Genetics · doi:10.1007/s10519-012-9573-7 · Cited by 9
“A variety of SEM and MEML twin software is available (e.g. Neale and Cardon 1992; Williams et al. 1992; Neale 1997; Purcell 2002; Rijsdijk and Sham 2002; Rabe-Hesketh et al. 2008; Feng et al. 2009).”
Zeegers, M., Rijsdijk, F., Sham, P., Fagard, R., Gielen, M., de Leeuw, P., & Vlietinck, R. (2004) · Twin Research · doi:10.1375/twin.7.3.245 · Cited by 9
“In this approach, the genetic and environmental path coefficients have a constant part and a variable part that depends linearly on the twin specific risk factors, which are modeled as definition variables in Mx (Figure 2; Purcell, 2002).”
Genetic and environmental contributions to relationships and divorce attitudes
Hatemi, P., McDermott, R., & Eaves, L. J. (2014) · Personality and Individual Differences · doi:10.1016/j.paid.2014.08.032 · Cited by 10
Hur, Y.-M. (2024) · Journal of Behavioral Addictions · doi:10.1556/2006.2024.00029 · Cited by 8
“Figure 1 presents the bivariate G x E model (Purcell, 2002; van der Sluis, Posthuma, & Dolan, 2012), where PS interacts with “ A ” , “ C ” , and “ E ” effects common to PS and GA (A c , C c , and E c , respectively), and those effects unique to GA (A u , C u , & E u , respectively).”
BackgroundZi, Y., BEIJSTERVELDT, C. E. M. V., Bartels, M., & de Geus, E. J. C. (2023) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000003209 · Cited by 19
“Because the genetic correlation between moderator and motor milestones was very low (R g = 0.06), a univariate model was deemed appropriate as it yields more power than a bivariate model that explicitly models the gene-by-moderator correlation (27,31).”
InfluentialKind of blue – An evaluation of etiologies for prenatal versus postnatal depression symptoms
Samuelsen, K., Ystrøm, E., Gjerde, L. C., & Eilertsen, E. M. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.04.135 · Cited by 8
Gene-by-Environment Interaction Effects of Social Adversity on Externalizing Behavior in ABCD Youth
Dash, G. F., Karalunas, S. L., Kenyon, E. A., Carter, E. K., Mooney, M. A., Nigg, J. T., & Ewing, S. W. F. (2023) · Behavior Genetics · doi:10.1007/s10519-023-10136-z · Cited by 11
“Next, a series of six two-group gene-by-environment interaction models were run (Purcell 2002).”
MethodInvestigating the mechanisms of G × SES interactions for education
Ruks, M. (2022) · Research in Social Stratification and Mobility · doi:10.1016/j.rssm.2022.100730 · Cited by 16
Pasman, J. A., Smit, K., Vollebergh, W., Nolte, I. M., Hartman, C. A., Abdellaoui, A., Verweij, K. J. H., Maciejewski, D. F., & Vink, J. M. (2021) · Development and Psychopathology · doi:10.1017/s095457942100081x · Cited by 13
“For example, if not explicitly modeled, GxE and rGE can present as main effects of G or E in twin research, leading to an overestimation of either effect (Purcell, 2002), and genetic association studies can pick up on environmental signal in the case of rGE (Selzam et al.”
Rasmussen, S. H. R., Weinschenk, A. C., Nørgaard, A. S., Hjelmborg, J., & Klemmensen, R. (2021) · Political Studies · doi:10.1177/00323217211008788 · Cited by 12
“To investigate whether the quasi-causal effect of education on economic ideology is moderated by economic hardship in an individual’s local context, we estimate a gene–environment interaction model as outlined by Purcell (2002).”
MethodBoomsma, D. I., van Beijsterveldt, T. C. E. M., Odintsova, V. V., Neale, M. C., & Dolan, C. V. (2020) · Behavior Genetics · doi:10.1007/s10519-020-10025-9 · Cited by 11
“1993; Duffy and Martin 1994), the moderation of genetic and environmental effects (Purcell 2002), and the analysis of the dimensionality of psychological (psychometric) instruments (Franić et al.”
BackgroundNonlinear Indicator-Level Moderation in Latent Variable Models
Bolsinova, M., & Molenaar, D. (2018) · Multivariate Behavioral Research · doi:10.1080/00273171.2018.1486174 · Cited by 8
“That is, an interaction effect is difficult to interpret in the absence of its main effect (Nelder, 1994; Purcell, 2002).”
BackgroundMethodInfluentialDavis, C. N., Natta, S. S., & Slutske, W. S. (2017) · Behavior Genetics · doi:10.1007/s10519-017-9867-x · Cited by 11
“This removes variance in alcohol involvement due to rural/urban residency and any potential genetic effects shared between alcohol involvement and rural/urban residency (Purcell 2002).”
Background
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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