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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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Capel, F. (2007) · CRC Press eBooks · doi:10.3109/9781420020137 · Cited by 31
Biometrical Models in Behavioral Genetics
Neale, M. C. (2009) · Springer eBooks · doi:10.1007/978-0-387-76727-7_2 · Cited by 38
“Two main varieties are common: those with measured genotypes (Caspi, Harrington, Moffitt, Milne, & Poulton, 2006) and those with unmeasured variance components (Purcell, 2002).”
BackgroundMõttus, R., Briley, D. A., Zheng, A., Mann, F. D., Engelhardt, L. E., Tackett, J. L., Harden, K. P., & Tucker–Drob, E. M. (2019) · Journal of Personality and Social Psychology · doi:10.1037/pspp0000194 · Cited by 49
“If so, the genetic variance components of personality traits should increase in magnitude with age (Kandler & Zapko-Willmes, 2017; Purcell, 2002), although it is important to stress that this would reflect the accumulation of genetically influenced environmental experiences rather than direct…”
InfluentialGenome-wide association studies of brain structure and function in the UK BiobankPreprint
Elliott, L. T., Sharp, K., Alfaro‐Almagro, F., Shi, S., Miller, K. L., Douaud, G., Marchini, J., & Smith, S. M. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/178806 · Cited by 23
Bates, T. C., Hansell, N. K., Martin, N. G., & Wright, M. J. (2016) · Intelligence · doi:10.1016/j.intell.2016.02.003 · Cited by 40
“As advocated by (Purcell, 2002), therefore we also report and focus on the unstandardized results.”
MethodResultLiao, C., Gao, W., Cao, W., Lv, J., Yu, C., Wang, S., Zhou, B., Pang, Z., Cong, L., Dong, Z., et al. (2016) · BMC Public Health · doi:10.1186/s12889-016-2967-3 · Cited by 34
Harden, K. P., Patterson, M. W., Briley, D. A., Engelhardt, L. E., Kretsch, N., Mann, F. D., Tackett, J. L., & Tucker–Drob, E. M. (2015) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12419 · Cited by 36
“The squares of the paths from the ACE components to the phenotypes quantify the variance in the phenotype that is due to genetic and environmental differences, as a function of the moderator values (Purcell, 2002).”
Lajunen, H., Kaprio, J. A., Rose, R. J., Pulkkinen, L., & Silventoinen, K. (2011) · Obesity · doi:10.1038/oby.2011.304 · Cited by 40
“Gene–environment interaction means that different genotypes respond differently to same environmental factors or that genetic variance differs dependent on some environmental factors (28).”
BackgroundThe heritability of P300 amplitude in 18‐year‐olds is robust to adolescent alcohol use
Perlman, G., Johnson, W., & Iacono, W. G. (2009) · Psychophysiology · doi:10.1111/j.1469-8986.2009.00850.x · Cited by 33
“The bivariate models used in this study (Purcell, 2002) examine the association between P300 amplitude and AAU (see Figure 2).”
BackgroundMethodCharles, S. T., & Almeida, D. M. (2007) · Psychology and Aging · doi:10.1037/0882-7974.22.2.331 · Cited by 39
“These models used Mx script from Purcell (2002) that allowed the estimation of the moderating effects of age on variance components and on the overall mean of each stressor variable.”
MethodInfluentialGenetics and Sports: An Overview of the Pre-Molecular Biology Era
Peeters, M., Thomis, M. A., Beunen, G. P., & Malina, R. M. (2009) · Medicine and sport science/Medicine and sport · doi:10.1159/000235695 · Cited by 37
Erola, J., Lehti, H., Baier, T., & Karhula, A. (2020) · European Sociological Review · doi:10.31235/osf.io/gahfc · Cited by 35
“We relax this assumption by fitting models that assume interactions between each included variance component and the socioeconomic characteristics of the parents (Guo and Wang, 2002; Purcell, 2002).”
MethodHeritability of brain volumes in older adults: the Older Australian Twins Study
Batouli, S. A. H., Sachdev, P. S., Wen, W. X., Wright, M. J., Ames, D. J., & Trollor, J. N. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.10.079 · Cited by 35
“1B) (Neale and Schmitt, 2005; Purcell, 2002).”
BackgroundMethodInfluentialWolf, E. J., Mitchell, K. S., Koenen, K. C., & Miller, M. W. (2013) · Psychological Medicine · doi:10.1017/s0033291713002286 · Cited by 43
“It is important to account for potential rGE because it may erroneously be reflected as G×E (Purcell, 2002).”
BackgroundMethodInfluentialLatvala, A., Dick, D., Tuulio-Henriksson, A., Suvisaari, J., Viken, R., Rose, R., & Kaprio, J. (2011) · Journal of Studies on Alcohol and Drugs · doi:10.15288/jsad.2011.72.210 · Cited by 35
“A further limitation is that gene–environment interaction effects and genetic correlation were not modeled simultaneously using the moderated Cholesky approach (Purcell 2002).”
BackgroundMethodResultInfluentialFamily Background Buys an Education in Minnesota but Not in Sweden
Johnson, W., Deary, I. J., Silventoinen, K., Tynelius, P., & Rasmussen, F. E. (2010) · Psychological Science · doi:10.1177/0956797610379233 · Cited by 33
“…the moderating effects of intelligence on environmental and genetic influences on attained education is an extension of the standard Cholesky decomposition used to estimate the extent to which environmental and genetic influences are correlated across two variables (Johnson, 2007; Purcell, 2002).”
BackgroundMethodPower Calculations Using Exact Data Simulation: A Useful Tool for Genetic Study Designs
van der Sluis, S., Dolan, C., Neale, M., & Posthuma, D. (2007) · Behavior Genetics · doi:10.1007/s10519-007-9184-x · Cited by 35
“1985; Heath and Eaves 1985; Posthuma and Boomsma 2000), to sibpair and family linkage and association designs, either in- or excluding gene by environment interaction (Abecasis et al. 2000a, b; Boomsma and Dolan 1998; Dolan et al. 1999; Fulker and Cherny 1996; Purcell 2002; Purcell and Sham 2002; Sham et al. 2000; Sha…”
BackgroundMethodA Nuclear Twin Family Study of Self–Esteem
Bleidorn, W., Hufer, A., Kandler, C., Hopwood, C. J., & Riemann, R. (2018) · European Journal of Personality · doi:10.1002/per.2136 · Cited by 43
“Fourth, the CTD does not model gene–environment (GE) correlation, whose presence may impact heritability estimates and shared environmental influences (Kandler & Zapko-Willmes, 2017; Purcell, 2002).”
BackgroundKandler, C., & Ostendorf, F. (2016) · European Journal of Personality · doi:10.1002/per.2065 · Cited by 41
“Second, the data set was relatively small, a fact that reduced the opportunity for a combined analytic consideration of gene–environment interaction and correlation (Purcell, 2002).”
BackgroundConnolly, E. J., Schwartz, J. A., Nedelec, J. L., Beaver, K. M., & Barnes, J. C. (2015) · Journal of Youth and Adolescence · doi:10.1007/s10964-015-0299-8 · Cited by 32
“, whether offspring were twins, full-siblings, or half-siblings), Rodgers et al. (1994) developed a linking algorithm that assigns children from the CNLSY a sibling status and genetic relatedness score.”
BackgroundMethodBurt, S. A. (2013) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12173 · Cited by 35
“Instead, these ‘AxC’ effects will be included in the genetic component of variance (along with genetic main effects), since family wide events that interact with the child’s genes would increase the similarity of genetically identical siblings relative to other sibling types (Purcell, 2002).”
BackgroundThe role of gene–environment correlations and interactions in middle childhood depressive symptoms
Wilkinson, P. O., Trzaskowski, M., Haworth, C. M. A., & Eley, T. C. (2013) · Development and Psychopathology · doi:10.1017/s0954579412000922 · Cited by 41
“These models allowed us to calculate accurate parameters in the presence of both G E interaction and rGE (Purcell, 2002).”
MethodBurt, A. (2011) · Research in Human Development · doi:10.1080/15427609.2011.625323 · Cited by 35
“This is particularly troublesome in the context of GxE, as rGE can “masquerade” as GxE (Moffitt et al., 2006; Purcell, 2002).”
BackgroundEvolution, genes, and inter‐disciplinary personality research
Penke, L., Denissen, J. J. A., & Miller, G. F. (2007) · European Journal of Personality · doi:10.1002/per.657 · Cited by 33
Arpana Agrawal, A., Lynskey, M. T., Bucholz, K. K., Martin, N. G., Madden, P. A. F., & Heath, A. C. (2006) · Psychological Medicine · doi:10.1017/s0033291706009287 · Cited by 29
“The multiformity models may be viewed as restricted forms of a bivariate moderator model (Martin et al. 1987; Dick et al. 2001; Purcell, 2002), where the A, C and E influencing cannabis and OID experimentation are uncorrelated and the variance in OID experimentation is estimated freely in individuals who are experimen…”
BackgroundSleep duration and area-level deprivation in twins
Watson, N. F., Horn, E., Duncan, G. E., Buchwald, D., Vitiello, M. V., & Turkheimer, E. (2016) · SLEEP · doi:10.5665/sleep.5320 · Cited by 33
WRIGHT, J. P., Barnes, J. C., Boutwell, B. B., Schwartz, J. A., Connolly, E. J., Nedelec, J. L., & Beaver, K. M. (2015) · Criminology · doi:10.1111/1745-9125.12059 · Cited by 39
Samek, D. R., Hicks, B. M., Keyes, M. A., Bailey, J. A., McGue, M. K., & Iacono, W. G. (2014) · Psychological Medicine · doi:10.1017/s0033291714001445 · Cited by 39
Exploring the origins of asthma: Lessons from twin studies
Thomsen, S. F. (2014) · European Clinical Respiratory Journal · doi:10.3402/ecrj.v1.25535 · Cited by 41
“In the classical twin model, the proportion of phenotypic variance explained by gene-environment interaction is, unless specifically modelled, automatically included in the genetic variance component, and this would tend to inflate the estimate of genetic variance [Purcell, 2002].”
BackgroundKandler, C., Riemann, R., & Angleitner, A. (2012) · Developmental Psychology · doi:10.1037/a0030744 · Cited by 38
Burt, S. A., & Klump, K. L. (2013) · Psychological Medicine · doi:10.1017/s0033291713001190 · Cited by 38
“For our primary analyses, we evaluated whether parent–child conflict moderated the etiology of CP using the ‘extended univariate G×E’ model (Purcell, 2002; van der Sluis et al. 2012).”
BackgroundMethodResultInfluentialThe Influence of Major Life Events on Economic Attitudes in a World of Gene‐Environment Interplay
Hatemi, P. (2013) · American Journal of Political Science · doi:10.1111/ajps.12037 · Cited by 52
“Model specifics, algebra and simulations are specified in detail by Purcell (2002).”
BackgroundMethodInfluentialLamb, D. J., Middeldorp, C. M., Beijsterveldt, C. E. M. V., & Boomsma, D. I. (2012) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2011.02497.x · Cited by 23
Wang, X., Ding, X., Su, S., Spector, T. D., Mangino, M., Iliadou, A. N., & Snieder, H. (2009) · Diabetologia · doi:10.1007/s00125-009-1524-3 · Cited by 30
“[27] to allow for gene– environment correlation, we still did not observe gene– BMI interactions for total cholesterol and HDL-cholesterol (data not shown).”
BackgroundMethodInfluentialTheoretical perspectives on the interplay of nature and nurture in personality development
Kandler, C., & Zapko–Willmes, A. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-804674-6.00008-9 · Cited by 40
Shared genetic architecture across psychiatric disorders
Grotzinger, A. D. (2021) · Psychological Medicine · doi:10.1017/s0033291721000829 · Cited by 40
“For example, a heritability estimate of 50% may reflect a scenario where a trait is entirely due to the environment in half the population and entirely due to genetics in the other half of the population (Purcell, 2002).”
BackgroundRacine, S. E., VanHuysse, J. L., Keel, P. K., Burt, S. A., Neale, M. C., Boker, S. M., & Klump, K. L. (2017) · Journal of Abnormal Psychology · doi:10.1037/abn0000204 · Cited by 39
“Next, we used an extension of the bivariate model (i.e., gene-environment interaction [GxE] in presence of gene-environment correlation [rGE] model; Purcell, 2002) to investigate the influence of ED-specific moderators on genetic and environmental associations between negative urgency and binge…”
BackgroundMethodInfluentialSlutske, W. S., Deutsch, A. R., Statham, D. J., & Martin, N. G. (2015) · Journal of Abnormal Psychology · doi:10.1037/abn0000071 · Cited by 33
“In Step 3, the bivariate Cholesky models were modified to include gene-environment interactions and environment-environment interactions (Purcell, 2002; dashed paths ac′, ec′, au′, and eu′ in Figure 1).”
Genetics of disc-related disorders: current findings and lessons from other complex diseases
Näkki, A., Battié, M. C., & Kaprio, J. A. (2013) · European Spine Journal · doi:10.1007/s00586-013-2878-2 · Cited by 37
“Current statistical modeling, which allows testing of gene–environment interactions [38], tests whether the magnitude of additive genetic variance, common environmental variance and unique environmental variance change as a function of a measured environmental factor [39].”
BackgroundTesting Systematic Genotype by Environment Interactions Using Item Level Data
Molenaar, D., & Dolan, C. V. (2014) · Behavior Genetics · doi:10.1007/s10519-014-9647-9 · Cited by 28
“All of these diagnostics are available in the R package ‘coda’ (Plummer et al. 2005).”
BackgroundJarnecke, A. M., & South, S. C. (2013) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.12263 · Cited by 33
Introduction: What is a ‘gene’ and why does it matter for political science?
Hatemi, P., Byrne, E. M., & McDermott, R. (2012) · Journal of Theoretical Politics · doi:10.1177/0951629812437752 · Cited by 31
“…characteristics (e.g. Boomsma et al., 1999), gene–environment covariation which models selection into environments based on one’s genotype (e.g. Purcell, 2002), and multivariate models that simultaneously decompose variance of multiple items (e.g. Hatemi et al., 2007) are all extensions of…”
BackgroundEvidence from behavioral genetics for environmental contributions to antisocial conduct
Moffitt, T. E., & Capsi, A. (2006) · Cambridge University Press eBooks · doi:10.1017/cbo9780511489341.005 · Cited by 72
“The second caveat is that the coefficient for nonshared environ mental effects indexes not only the direct effects of nonshared experiences but also the effects of interactions between nonshared em"ironments and genes (Purcell, 2002; Rutter & Silberg, 2(02).”
Advanced Methods in Twin Studies
Kaprio, J. A., & Silventoinen, K. (2010) · Methods in molecular biology · doi:10.1007/978-1-60327-416-6_11 · Cited by 29
Peyrot, W. J., Middeldorp, C. M., Jansen, R., Smit, J. H., de Geus, E. J. C., Hottenga, J.-J., Willemsen, G., Vink, J. M., Virding, S., Barragan, I., et al. (2013) · Journal of Affective Disorders · doi:10.1016/j.jad.2012.08.044 · Cited by 31
Wright, E. M., & Schwartz, J. A. (2021) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2021.104962 · Cited by 29
“In addition to traditional bivariate Cholesky models, the current study also estimated a series of modified models that includes interaction terms to more directly examine G × Es (Brendgen et al., 2009; Purcell, 2002; Turkheimer, Beam, Sundet, & Tambs, 2017).”
BackgroundMethodInfluentialChanges in genetic risk for emotional eating across the menstrual cycle: a longitudinal study
Klump, K. L., Hildebrandt, B. A., O’Connor, S. M., Keel, P. K., Neale, M. C., Sisk, C. L., Boker, S. M., & Burt, S. A. (2015) · Psychological Medicine · doi:10.1017/s0033291715001221 · Cited by 33
“Following previous recommendations (Purcell, 2002), we present standardized parameter estimates in tables and unstandardized estimates in figures.”
Johnson, W., McGue, M. K., & Iacono, W. G. (2009) · Developmental Psychology · doi:10.1037/a0016225 · Cited by 28
“To address our three remaining research questions, we made use of a model developed by Purcell (2002) that allows for the explicit quantification of genetic and environmental influences on a particular trait in the context of correlation with and moderation by genetic and environmental influences…”
InfluentialJohnson, W., Deary, I. J., McGue, M. K., & Christensen, K. (2009) · Psychology and Aging · doi:10.1037/a0013929 · Cited by 27
“To investigate these hypotheses, we made use of a model that was developed by Purcell (2002) to quantify the genetic and environmental influences on a particular trait explicitly in the context of correlation with and moderation by genetic and environmental influences on an associated trait.”
MethodInfluentialSilventoinen, K., Li, W., Jelenkovic, A., Sund, R., Yokoyama, Y., Aaltonen, S., Piirtola, M., Sugawara, M., TANAKA, M., Matsumoto, S., et al. (2022) · International Journal of Obesity · doi:10.1038/s41366-022-01202-3 · Cited by 31
“However, these lower genetic correlations of BMI can also be affected by environmental factors if they interact with genetic factors affecting weight and thus modifying the genetic components [29].”
BackgroundLuo, J., Derringer, J. L., Briley, D. A., & Roberts, B. W. (2017) · European Journal of Personality · doi:10.1002/per.2127 · Cited by 38
“…and no interaction between genetic and environmental effects (Eaves et al., 1999).1 Further, the models we use do not explicitly consider nonindependence of genetic and environmental influences, but these developmental processes exert predictable influences on model parameters (see Purcell, 2002).”
BackgroundMcGue, M., Skytthe, A., & Christensen, K. (2014) · International Journal of Epidemiology · doi:10.1093/ije/dyt210 · Cited by 30
Genetic Modeling of Primary Tooth Emergence: A Study of Australian Twins
Bockmann, M. R., Hughes, T. E., & Townsend, G. C. (2010) · Twin Research and Human Genetics · doi:10.1375/twin.13.6.573 · Cited by 30
“Although less versatile than the continuous moderator model outlined by Martin et al. (1987), which was comprehensively elaborated by Purcell (2002), the approach used was considered to be a reasonable approximation at this stage of the study prior to future planned multi-variate analyses.”
Neuroticism, recall bias and attention bias for valenced probes: a twin study
Rijsdijk, F. V., Riese, H., Tops, M., Snieder, H., Brouwer, W., Smid, H. G. O. M., & Ormel, J. (2008) · Psychological Medicine · doi:10.1017/s0033291708003231 · Cited by 31
“To test whether the A, C or E components of the correlation between Ncomp and the cognitive variables change as a function of the level of Ncomp, one can use the same approach as described above using continuous moderator values (Purcell, 2002).”
MethodGenetic and Environmental Influences on Intraindividual Variability in Reaction Time
Finkel, D., & McGue, M. K. (2006) · Experimental Aging Research · doi:10.1080/03610730601006222 · Cited by 28
“The moderating effect of age on the RT variables was estimated using a modified version of the gene by environment interaction model described by Purcell ( 2002 ).”
MethodShared Genetic Risk in the Association of Screen Time With Psychiatric Problems in Children
Zhang, Y., Choi, K. W., Delaney, S., Ge, T., Pingault, J., & Tiemeier, H. W. (2023) · JAMA Network Open · doi:10.1001/jamanetworkopen.2023.41502 · Cited by 33
A cognitive neurogenetic approach to uncovering the structure of executive functions
Feng, J., Zhang, L., Chen, C., Sheng, J., Ye, Z., Feng, K., Liu, J., Cai, Y., Zhu, B., Yu, Z., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-32383-0 · Cited by 37
IGEMS: The Consortium on Interplay of Genes and Environment Across Multiple Studies — An Update
Pedersen, N. L., Gatz, M., Finch, B. K., Finkel, D., Butler, D. A., Aslan, A. K. D., Franz, C. E., Kaprio, J. A., Lapham, S., McGue, M. K., et al. (2019) · Twin Research and Human Genetics · doi:10.1017/thg.2019.76 · Cited by 32
“To quantify interplay, we have applied biometric moderation models (Purcell, 2002; van der Sluis et al., 2008).”
MethodSamek, D. R., Hicks, B. M., Keyes, M. A., Iacono, W. G., & McGue, M. K. (2016) · Development and Psychopathology · doi:10.1017/s0954579416000109 · Cited by 34
“Next, we tested for Gene Environment interaction in the presence of gene–environment correlation (Purcell, 2002).”
MethodDuncan, G., Mills, B., Strachan, E., Hurvitz, P., Huang, R.-Z., Moudon, A., & Turkheimer, E. (2014) · Health and Place · doi:10.1016/j.healthplace.2014.02.008 · Cited by 29
“Advances in twin research have provided powerful new analytical techniques to detect gene by environment (G E) interactions (Purcell, 2002; van der Sluis et al., 2012), where the proportions of variance attributable to genetic and environmental sources are themselves moderated by environmental variables.”
Song, C., Chang, Z., Magnusson, P. K. E., Ingelsson, E., & Pedersen, N. L. (2013) · Journal of Internal Medicine · doi:10.1111/joim.12177 · Cited by 28
The age-dependency of genetic and environmental influences on serum cytokine levels: A twin study
Sas, A. A., Jamshidi, Y., Zheng, D., Wu, T., Korf, J., Alizadeh, B. Z., Spector, T. D., & Snieder, H. (2012) · Cytokine · doi:10.1016/j.cyto.2012.04.047 · Cited by 29
“We fitted the basic gene-environment interaction models as described by Purcell [24], using age as a continuous moderator incorporating all the available (complete) twin pairs.”
Methodvan der Sluis, S., Dolan, C. V., Neale, M. C., Boomsma, D. I., & Posthuma, D. (2006) · Twin Research and Human Genetics · doi:10.1375/183242706777591218 · Cited by 25
“Although the Jinks and Fulker test (henceforth JFT) is particularly easy to conduct, its application is hampered by low power, and sensitivity to nonnormality in the data (e.g., Boomsma & Martin, 2002; Martin, 1999; Purcell, 2002).”
InfluentialLubke, G. H., Dolan, C. V., & Neale, M. C. (2004) · Twin Research · doi:10.1375/136905204774200578 · Cited by 25
“Models for continuous G × E interaction (Neale, 1998; Neale & Cardon, 1992; Purcell, 2002) that involve an ordinal or continuous environmental measure would be similarly affected when the observed sum scores to be analyzed fail to meet the assumption of measurement invariance.”
ADHD, lead exposure and prevention: how much lead or how much evidence is needed?
Nigg, J. T. (2008) · Expert Review of Neurotherapeutics · doi:10.1586/14737175.8.4.519 · Cited by 28
People’s desire to be in nature and how they experience it are partially heritable
Chang, C., Cox, D. T. C., Fan, Q., Nghiem, T. P. L., Tan, C. L. Y., Oh, R. R. Y., Lin, B. B., Shanahan, D. F., Fuller, R. A., Gaston, K. J., et al. (2022) · PLoS Biology · doi:10.1371/journal.pbio.3001500 · Cited by 36
“To test the effect of the level of urbanization of the home district on the genetic and environmental influences of nature orientation and nature experiences, we built full bivariate moderation models to examine the gene–environment and environment– environment interactions in the presence of gene–environment and envi…”
BackgroundMethodKandler, C., Waaktaar, T., Mõttus, R., Riemann, R., & Torgersen, S. O. (2019) · European Journal of Personality · doi:10.1002/per.2189 · Cited by 54
“…of (i) unfolding of individuals’ genetic endowments via genetic maturation (Kandler, 2012a), (ii) increasingly active person–environment transactions (Scarr & McCartney, 1983) or (iii) cumulative interactions between the genotype and environmental circumstances shared by twins (Purcell, 2002).”
BackgroundInfluentialGrotzinger, A. D., Cheung, A. K., Patterson, M. W., Harden, K. P., & Tucker–Drob, E. M. (2019) · Clinical Psychological Science · doi:10.1177/2167702618820018 · Cited by 32
“These parametric moderation models (Purcell, 2002) allow for the paths from ACE factors to p and g and their correlations to be specified as consisting of a main effect and”
MethodMõttus, R., Soto, C. J., & Slobodskaya, H. R. (2017) · European Journal of Personality · doi:10.1002/per.2107 · Cited by 32
“Over time, youths’ selfselected situations may deepen the personality characteristics that led to them in the first place, a phenomenon referred to as the corresponsive principle of personality development (Caspi, Roberts, & Shiner, 2005; Roberts et al., 2003).”
BackgroundHur, Y., Taylor, J. E., Jeong, H., Park, M.-S., & Haberstick, B. C. (2017) · Twin Research and Human Genetics · doi:10.1017/thg.2017.15 · Cited by 28
“The bivariate G×Emodel is an extension of the bivariate Cholesky decomposition model (Neale & Cardon, 1992).”
BackgroundMethodInfluentialAmaral, W. Z., Krueger, R. F., Ryff, C. D., & Coe, C. L. (2015) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2015.05.010 · Cited by 28
“Assuming a perfectly homogeneous and common environmental influence is probably not reasonable, so it will be important to verify our conclusions with a larger-scale gene-association study (Purcell, 2002; Tan et al., 2010).”
ResultFamiliality and SNP heritability of age at onset and episodicity in major depressive disorder
Ferentinos, P. P., Koukounari, A., Power, R. A., Rivera, M., Uher, R., Craddock, N. J., Owen, M. J., Korszun, A., Jones, L. A., Jones, I. R., et al. (2015) · Psychological Medicine · doi:10.1017/s0033291715000215 · Cited by 29
“Yet, it is highly probable that gene–environment interactions, which are difficult to disentangle from unique environmental effects (Purcell, 2002; Purcell & Sham, 2002), also contribute.”
Arizona Twin Project: A Focus on Early Resilience
Lemery‐Chalfant, K., Clifford, S., McDonald, K., O’Brien, T. C., & Valiente, C. (2013) · Twin Research and Human Genetics · doi:10.1017/thg.2012.107 · Cited by 30
Marital Adjustment as a Moderator for Genetic and Environmental Influences on Parenting
Ulbricht, J. A., Ganiban, J., Button, T. M., Feinberg, M., Reiss, D., & Neiderhiser, J. (2013) · Journal of family psychology · doi:10.1037/a0031481 · Cited by 28
“The specific biometric moderation model used is depicted in Figure 1 (Purcell, 2002).”
BackgroundMethodExtending and testing Tom Bouchard’s Experience Producing Drive Theory
Johnson, W. (2009) · Personality and Individual Differences · doi:10.1016/j.paid.2009.11.022 · Cited by 26
“In most twin models that rely on the assumption that sources of influence are independent, variance involved in correlations between shared environmental and genetic influences falls into the estimate of shared environmental influences, causing it to be overstated (Purcell, 2002).”
BackgroundThe Etiological Moderation of Aggressive and Nonaggressive Antisocial Behavior by Age
Burt, S. A., & Klump, K. L. (2009) · Twin Research and Human Genetics · doi:10.1375/twin.12.4.343 · Cited by 25
“Finally, Purcell (2002) reports that quadratic moderator models are prone to local minima, and should therefore be run at least five times using multiple start values to ensure that the obtained estimates do in fact minimize minus twice the log-likelihood (–2lnL).”
BackgroundMethodInfluentialKendler, K. S., Aggen, S. H., Jacobson, K. C., & Neale, M. C. (2003) · Psychological Medicine · doi:10.1017/s0033291703007840 · Cited by 27
“The power of a number of gene–environment interaction models using the general approach employed in this study has recently been examined (Purcell, 2002).”
MethodSubstance use: Interplay between polygenic risk and neighborhood environment
Pasman, J. A., Verweij, K. J. H., Abdellaoui, A., Hottenga, J., Fedko, I. O., Willemsen, G. A. H. M., Boomsma, D. I., & Vink, J. M. (2020) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2020.107948 · Cited by 34
The moderating role of SES on genetic differences in educational achievement in the Netherlands
de Zeeuw, E. L., Kan, K., van Beijsterveldt, C. E. M., Mbarek, H., Hottenga, J., Davies, G. E., Neale, M. C., Dolan, C. V., & Boomsma, D. I. (2019) · npj Science of Learning · doi:10.1038/s41539-019-0052-2 · Cited by 38
Fatimah, H., Wiernik, B. M., Gorey, C. M., McGue, M. K., Iacono, W. G., & Bornovalova, M. A. (2019) · Psychological Medicine · doi:10.1017/s0033291719001260 · Cited by 30
“Follow-up studies can disentangle these processes by moderating the genetic architecture of BPD traits by self- and parent-reports of parenting (Purcell, 2002).”
BackgroundParental Education and Genetics of BMI from Infancy to Old Age: A Pooled Analysis of 29 Twin Cohorts
Silventoinen, K., Jelenkovic, A., Latvala, A., Yokoyama, Y., Sund, R., Sugawara, M., TANAKA, M., Matsumoto, S., Aaltonen, S., Piirtola, M., et al. (2019) · Obesity · doi:10.1002/oby.22451 · Cited by 47
“significance of the moderator effect of parental education (21).”
BackgroundWesseldijk, L., Mosing, M., & Ullén, F. (2019) · Developmental Psychology · doi:10.1037/dev0000726 · Cited by 27
Zavala, C., Beam, C. R., Finch, B. K., Gatz, M., Johnson, W., Kremen, W. S., Neiderhiser, J. M., Pedersen, N. L., & Reynolds, C. A. (2018) · Developmental Psychology · doi:10.1037/dev0000576 · Cited by 29
“By modeling the common (correlated) variance between attained SES and cognition, moderation effects observed on variance unique to cognitive performance provide evidence for a causal role of attained SES (Purcell, 2002).”
InfluentialSilventoinen, K., Volanen, S., Vuoksimaa, E., Rose, R. J., Suominen, S., & Kaprio, J. A. (2014) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-014-0851-y · Cited by 27
“that childhood environment has effects on the development of many psychological traits, including SOC, but because such effects interact with genetic predispositions of children, they cannot be disentangled from genetic factors without direct measures of childhood environment rarely available in twin studies [17].”
Shelton, K. H., Harold, G. T., Fowler, T., Rice, F. J., Neale, M. C., Thapar, A., & van den Bree, M. B. M. (2007) · Journal of Youth and Adolescence · doi:10.1007/s10964-007-9254-7 · Cited by 27
“This concurs with previous research (e.g., Pike et al. 1996a, b) and is consistent with the operation of gene-environment correlation, a process representing genetic control of exposure to environments (Purcell 2002).”
ResultGenetics in Psychosomatic Medicine: Research Designs and Statistical Approaches
McCaffery, J. M., Snieder, H., Dong, Y., & de Geus, E. J. C. (2007) · Psychosomatic Medicine · doi:10.1097/psy.0b013e31802f5dd4 · Cited by 27
“Interaction of genetic and unique environmental influences will inflate the contribution of the unique environment and underestimate genetic influences, whereas interaction of genetic and shared environmental factors will inflate the contribution of genetic influences (36,37).”
BackgroundJang, K. L., Dick, D. M., Wolf, H., Livesley, W. J., & Paris, J. (2005) · European Journal of Personality · doi:10.1002/per.561 · Cited by 30
“Since these analyses were conducted, models have been developed that attempt to test for G E in the presence of genotype by environment correlation (Purcell, 2002), and these models may be informative for studying additional environmental variables in the future.”
BackgroundMethodInfluentialParenting moderates the etiology of callous‐unemotional traits in middle childhood
Tomlinson, R. C., Hyde, L. W., Dotterer, H. L., Klump, K. L., & Burt, S. A. (2021) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13542 · Cited by 38
Genetic Susceptibility to Acute Kidney Injury
Ortega‐Loubon, C., Martínez-Paz, P., García‐Morán, E., Tamayo-Velasco, Á., López-Hernández, F. J., Jorge-Monjas, P., & Tamayo, E. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10143039 · Cited by 33
Genetic Fortune: Winning or Losing Education, Income, and Health
Kweon, H., Burik, C. A. P., Linnér, R. K., de Vlaming, R., Okbay, A., Martschenko, D., Harden, K., DiPrete, T., & Koellinger, P. (2020) · Social Science Research Network · doi:10.2139/ssrn.3682041 · Cited by 26
“Violations of these assumptions can lead to either upward or downward bias in the estimated variance components and have consequently sparked an extensive debate in the literature (Felson, 2014; Lerner, 2006; Purcell, 2002; Visscher et al., 2008; Zuk et al., 2012).”
BackgroundToccaceli, V., Fagnani, C., Eisenberg, N., Alessandri, G., Vitale, A., & Stazi, M. A. (2018) · Twin Research and Human Genetics · doi:10.1017/thg.2018.19 · Cited by 28
“Possible age-related modification of genetic and environmental effects on the EQ scales was also tested by interaction models (Purcell, 2002) that incorporated age as a continuous moderator to avoid arbitrary categorizations.”
Fairweather‐Schmidt, A. K., & Wade, T. D. (2016) · The British Journal of Psychiatry · doi:10.1192/bjp.bp.116.184648 · Cited by 30
Cooke, M. E., Meyers, J. L., Latvala, A., Korhonen, T., Rose, R. J., Kaprio, J. A., Salvatore, J. E., & Dick, D. M. (2015) · Twin Research and Human Genetics · doi:10.1017/thg.2015.56 · Cited by 29
“The majority of these previous GxE studies used the univariate and bivariate models to study moderation as delineated in Purcell (2002). The univariate model allows for”
Genetic Influences on Pubertal Development and Links to Behavior Problems
Corley, R. P., Beltz, A. M., Wadsworth, S. J., & Berenbaum, S. A. (2015) · Behavior Genetics · doi:10.1007/s10519-015-9719-5 · Cited by 30
“We used a twin moderation model (Klump et al. 2007; Purcell 2002) to test whether the estimates for genetic and environmental influences on the CBCL measures varied linearly with age of midpuberty in both sexes or with age at menarche in girls (our sample size prevented testing for nonlinear…”
Middeldorp, C. M., Lamb, D. J., Vink, J. M., Bartels, M., van Beijsterveldt, C. E. M., & Boomsma, D. I. (2014) · Behavior Genetics · doi:10.1007/s10519-014-9660-z · Cited by 27
Hulle, C. A. V., Lahey, B. B., & Rathouz, P. J. (2012) · Behavior Genetics · doi:10.1007/s10519-012-9568-4 · Cited by 25
“Since the publication of Purcell’s article, researchers have relied on his model to test gene-by-environment interactions for a wide range of phenotypes, including perceived control and physical health (Johnson & Krueger, 2005), family income and intelligence scores (Turkheimer, Haley, Waldron, D’Onofrio, & Gottesman,…”
MethodInfluentialChildhood problem behavior and parental divorce: evidence for gene–environment interaction
Robbers, S. C. C., van Oort, F. V. A., Huizink, A. C., Verhulst, F. C., van Beijsterveldt, C., Boomsma, D. I., & Bartels, M. (2012) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-011-0470-9 · Cited by 30
“By including the mean effects in the genetic models, gene–environment correlations were controlled for [31].”
Neuroticism and Morning Cortisol Secretion: Both Heritable, But No Shared Genetic Influences
Riese, H., Rijsdijk, F. V., Rosmalen, J. G. M., Snieder, H., & Ormel, J. (2009) · Journal of Personality · doi:10.1111/j.1467-6494.2009.00592.x · Cited by 23
“Finally, we tested whether the correlation between neuroticism and cortisol changed as a function of the level of neuroticism (Purcell, 2002).”
MethodPublic Health Genomics: Translating Obesity Genomics Research Into Population Health Benefits
Agurs‐Collins, T., Khoury, M. J., Simons‐Morton, D. G., Olster, D. H., Harris, J. R., & Milner, J. A. (2008) · Obesity · doi:10.1038/oby.2008.517 · Cited by 27
“When such information is not available, studies of gene–environment interactions rely on statistical approaches such as those that provide evidence that putative environmental factors modulate heritability (49,50).”
BackgroundTrauma Exposure and Stress Response: Exploration of Mechanisms of Cause and Effect
Jang, K. L., Taylor, S. J., Stein, M. B., & Yamagata, S. (2007) · Twin Research and Human Genetics · doi:10.1375/twin.10.4.564 · Cited by 27
“Figure 1 illustrates the basic model used to simultaneously estimate the degree to which the relationship between frequency of exposure and PTSS is attributable to shared etiology and to interplay effects described by Purcell (2002).”
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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