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Variance Components Models for Gene–Environment Interaction in Twin Analysis
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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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Phenotypes and continuous SES measures were Z-transformed prior to fitting the Purcell model to ensure effect sizes were on a comparable metric across studies.
“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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“Negative life events and maternal punitive discipline were used as environmental risk indices, both of which involved some genetic influence, requiring appropriate modelling to take account of rGE, using an approach developed by Purcell (2002).”
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“Unfortunately, the usual approach in quantitative behaviour genetic studies is additive variance decomposition, which hides both GxE interactions and GxE correlations in apparent main effects (Purcell, 2002).”
BackgroundJaffee, S. R., & Price, T. S. (2002) · Molecular Psychiatry · doi:10.1038/sj.mp.4001950 · Cited by 596
Swanson, J. M., Kinsbourne, M., Nigg, J., Lanphear, B., Stefanatos, G. A., Volkow, N., Taylor, E., Casey, B. J., Castellanos, F. X., & Wadhwa, P. D. (2007) · Neuropsychology Review · doi:10.1007/s11065-007-9019-9 · Cited by 580
Burt, S. A. (2009) · Psychological Bulletin · doi:10.1037/a0015702 · Cited by 467
“…to shared environmental sources of variance (though, as noted, they do contain any passive rGE effects that are present).8 As ably described by Purcell (2002), nonshared environmental components of variance contain G E in which the child’s genes interact with child-specific environmental…”
BackgroundThe continuing value of twin studies in the omics era
van Dongen, J., Slagboom, P. E., Draisma, H. H. M., Martin, N. G., & Boomsma, D. I. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3243 · Cited by 384
Moffitt, T. E., Caspi, A., & Rutter, M. (2006) · Perspectives on Psychological Science · doi:10.1111/j.1745-6916.2006.00002.x · Cited by 389
“In this framework, it is also possible to model and test a variance term for G E (Eaves et al., 1977; Eaves, Silberg, & Erkanli, 2003; Heath et al., 2002; Kendler & Eaves, 1986; Purcell, 2002; Sham, 1997).”
Nikolas, M. A., & Burt, S. A. (2010) · Journal of Abnormal Psychology · doi:10.1037/a0018010 · Cited by 407
“As Purcell (2002) noted, the influence of Gene Shared Environment interactions will be represented in the additive genetic variance component (a2) in behavioral genetic models.”
BackgroundJohnson, W., & Krueger, R. F. (2006) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.90.4.680 · Cited by 382
“The adapted model, described by Purcell (2002), 5 is shown in Figure 2.”
BackgroundMethodInfluentialAdiposity amplifies the genetic risk of fatty liver disease conferred by multiple loci
Stender, S., Kozlitina, J., Nordestgaard, B. G., Tybjærg‐Hansen, A., Hobbs, H. H., & Cohen, J. C. (2017) · Nature Genetics · doi:10.1038/ng.3855 · Cited by 421
Genetic and environmental influences interact with age and sex in shaping the human methylome
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Large Cross-National Differences in Gene × Socioeconomic Status Interaction on Intelligence
Tucker-Drob, E. M., & Bates, T. C. (2016) · Psychological Science · doi:10.1177/0956797615612727 · Cited by 359
“Figure 1 presents genetic and environmental variance components as a function of SES, as implied by the meta-analytic parameter estimates for the United States.”
MethodInfluentialManuck, S. B., & McCaffery, J. M. (2014) · Annual Review of Psychology · doi:10.1146/annurev-psych-010213-115100 · Cited by 294
Lenroot, R. K., Schmitt, J. E., Ordaz, S. J., Wallace, G. L., Neale, M. C., Lerch, J. P., Kendler, K. S., Evans, A. C., & Giedd, J. N. (2009) · Human Brain Mapping · doi:10.1002/hbm.20494 · Cited by 320
“To overcome this problem, we combined an extended twin design with moderator models for the examination of gene by age interaction [Purcell, 2002].”
MethodCandidate Gene–Environment Interaction Research
Dick, D. M., Arpana Agrawal, A., Keller, M. C., Adkins, A. E., Alıev, F., Monroe, S. M., Hewitt, J. K., Kendler, K. S., & Sher, K. J. (2015) · Perspectives on Psychological Science · doi:10.1177/1745691614556682 · Cited by 382
“…Dick, Bernard, et al., 2009; Dick, Pagan, Holliday, et al., 2007; Dick, Pagan, Viken, et al., 2007; Dick, Rose, Viken, Kaprio, & Koskenvuo, 2001; Dick, Viken, et al., 2007; Harden, Hill, Turkheimer, & Emery, 2008; Purcell, 2002; R. J. Rose, Dick, Viken, & Kaprio, 2001; South & Krueger, 2008).”
MethodInfluentialTalens, R. P., Christensen, K., Putter, H., Willemsen, G., Christiansen, L., Kremer, D., Suchiman, H. E. D., Slagboom, P. E., Boomsma, D. I., & Heijmans, B. T. (2012) · Aging Cell · doi:10.1111/j.1474-9726.2012.00835.x · Cited by 300
“The classical twin model for MZ twins (Purcell, 2002) postulates that the methylation values (y) at a given locus for co-twins 1 and 2 of twin pair i are defined by an overall mean (l) that may depend on age, sex, batch, CpG unit, by a random twin-pair effect (bi), the familial environment, which…”
BackgroundMethodInfluentialNigg, J. T., Knottnerus, G. M., Martel, M. M., Nikolas, M. A., CAVANAGH, K. T., Karmaus, W., & Rappley, M. D. (2007) · Biological Psychiatry · doi:10.1016/j.biopsych.2007.07.013 · Cited by 295
Differentiation of cognitive abilities across the life span.
Tucker–Drob, E. M. (2009) · Developmental Psychology · doi:10.1037/a0015864 · Cited by 335
“4 To avoid bias in polynomial and interactive regression (of which nonlinear and interactive factor analysis is a general case), it is necessary to include the main effects of all variables that were multiplied to create higher order terms (Cohen, Cohen, West, & Aiken, 2003; Purcell, 2002).”
BackgroundMethodGenetic and environmental continuity in personality development: A meta-analysis.
Briley, D. A., & Tucker-Drob, E. M. (2014) · Psychological Bulletin · doi:10.1037/a0037091 · Cited by 435
“In other words, the effects of Gene Shared Environment interaction contribute to the estimate of genetic influence when not explicitly modeled (Purcell, 2002).”
BackgroundInfluentialSmith, G. D. (2011) · International Journal of Epidemiology · doi:10.1093/ije/dyr117 · Cited by 339
The genetic basis of entrepreneurship: Effects of gender and personality
Zhang, Z., Zyphur, M. J., Narayanan, J., Arvey, R. D., Chaturvedi, S., Avolio, B. J., Lichtenstein, P., & Larsson, G. (2009) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2009.07.002 · Cited by 291
“Our estimates of the heritability for male and female twins can be considered an average heritability estimate across all levels of a particular environmental variable (Purcell, 2002).”
BackgroundGene-Environment Interaction in Psychological Traits and Disorders
Dick, D. M. (2011) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032210-104518 · Cited by 308
“The publication of a paper the following year (Purcell 2002) that provided straightforward scripts for continuous gene-environment interaction models using the most widely used program for twin analyses, Mx (Neale 2000), led to a surge of papers studying geneenvironment interaction in the twin…”
BackgroundMethodDubois, L., Kyvik, K. O., Girard, M., Tatone–Tokuda, F., Pérusse, D., Hjelmborg, J., Skytthe, A., Rasmussen, F. E., Wright, M. J., Lichtenstein, P., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030153 · Cited by 272
“Increasing heritability estimates have also been observed in other traits over childhood, such as in cognitive development [48], and this is generally attributed in part to changing gene expression, but also to gene-environment interaction (G6E) [19,49] and geneenvironment correlations [50–52].”
BackgroundMethodGenetics of white matter development: A DTI study of 705 twins and their siblings aged 12 to 29
Chiang, M.-C., McMahon, K. L., de Zubicaray, G. I., Martin, N. G., Hickie, I. B., Toga, A. W., Wright, M. J., & Thompson, P. M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.10.015 · Cited by 250
“, differences in variance of FA, between the two moderator groups, without any genuine genetic×moderator interaction (Boomsma et al., 1999; Purcell, 2002; Turkheimer et al., 2003).”
InfluentialNigg, J. T., Lewis, K., Edinger, T., & Falk, M. (2012) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2011.10.015 · Cited by 260
Measured gene-by-environment interaction in relation to attention-deficit/hyperactivity disorder
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“(1) The DRD4 Exon III VNTR (a 48 base pair repeat often referred to by the number of repeats, such as the “7 repeat” or “4-repeat” variant) generally yielded negative findings, but did show unreplicated interactions with season of birth and with maternal smoking.”
BackgroundLife events moderate variation in cognitive ability (g) in adults
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Bleidorn, W., Kandler, C., Riemann, R., Angleitner, A., & Spinath, F. M. (2009) · Journal of Personality and Social Psychology · doi:10.1037/a0015434 · Cited by 317
“Studying those effects necessitates models that specify measured environmental moderators (Purcell, 2002).”
BackgroundDick, D. M., Viken, R. J., Purcell, S., Kaprio, J. A., Pulkkinen, L., & Rose, R. J. (2007) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.116.1.213 · Cited by 242
“Thus, any covariance between the moderator and the outcome is incorporated into the means model (Purcell, 2002;Turkheimer, Haley, Waldron, D’Onofrio, & Gottesman, 2003); accordingly, any interactions detected will be associated with the variance components unique to the outcome (i.”
BackgroundMethodInfluentialSelf-citationSilventoinen, K., Jelenkovic, A., Sund, R., Hur, Y., Yokoyama, Y., Honda, C., Hjelmborg, J., Möller, S., Ooki, S., Aaltonen, S., et al. (2016) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.130252 · Cited by 256
Born to be Happy? The Etiology of Subjective Well-Being
Bartels, M., & Boomsma, D. I. (2009) · Behavior Genetics · doi:10.1007/s10519-009-9294-8 · Cited by 217
“In order to test for developmental changes and sex-differences on the genetic architecture of the four SWB measures a moderator model (Purcell 2002) was expanded to use in an extended twin-sibling design (see Fig.”
MethodKrueger, R. F., South, S., Johnson, W., & Iacono, W. (2008) · Journal of Personality · doi:10.1111/j.1467-6494.2008.00529.x · Cited by 216
“Simulation studies of this model were provided by Purcell (2002), some recent empirical applications of the model in personality research can be seen in Johnson and Krueger (2005, 2006), and Johnson (2007) describes the broad relevance of this model for providing a richer understanding of how genes…”
BackgroundMethodDolan, C., & van den Berg, S. M. (2007) · doi:10.4135/9781412963947.n550 · Cited by 214
Genotype by Environment Interaction in Adolescents’ Cognitive Aptitude
Harden, K. P., Turkheimer, E. N., & Loehlin, J. C. (2006) · Behavior Genetics · doi:10.1007/s10519-006-9113-4 · Cited by 198
“Purcell (2002) demonstrated that inclusion of the main effect of the measured environment prevents bias in estimation of G × E interactions resulting from unspecified rGE.”
BackgroundNigg, J. T., Nikolas, M. A., Knottnerus, G. M., CAVANAGH, K. T., & Friderici, K. H. (2009) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2009.02135.x · Cited by 202
“DISCUSSION Whereas ADHD carries well-established genetic influences on susceptibility (Waldman & Gizer, 2006), environmental risk factors may interact with that susceptibility in complex ways (Purcell, 2002).”
BackgroundTuvblad, C., Grann, M., & Lichtenstein, P. (2006) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2005.01552.x · Cited by 207
Effect of polygenic risk scores on depression in childhood trauma
Peyrot, W. J., Milaneschi, Y., Abdellaoui, A., Sullivan, P. F., Hottenga, J. J., Boomsma, D. I., & Penninx, B. W. J. H. (2014) · British Journal of Psychiatry · doi:10.1192/bjp.bp.113.143081 · Cited by 209
“28 Two binary MDD outcomes were analysed as dependent variables: all participants with MDD v . controls (all MDD risk) and participants with severe MDD v . controls (severe MDD risk).”
MethodEnvironmental Adversity and Increasing Genetic Risk for Externalizing Disorders
Hicks, B. M., South, S. C., DiRago, A. C., Iacono, W. G., & McGue, M. K. (2009) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2008.554 · Cited by 220
“This gene-environment interplay model (Figure 1) can be conceptualized as a bivariate extension of the univariate mode that incorporates additional moderation terms on the ACE effects.(38) This gene-environment interplay model estimates the ACE contributions to the covariance between externalizing and the environmenta…”
MethodResultSolving the missing heritability problem
Young, A. I. (2019) · PLoS Genetics · doi:10.1371/journal.pgen.1008222 · Cited by 246
Jelenkovic, A., Sund, R., Hur, Y.-M., Yokoyama, Y., Hjelmborg, J. V. B., Möller, S., Honda, C., Magnusson, P. K. E., Pedersen, N. L., Ooki, S., et al. (2016) · Scientific Reports · doi:10.1038/srep28496 · Cited by 202
Blonigen, D. M., Carlson, M. D., Hicks, B. M., Krueger, R. F., & Iacono, W. G. (2008) · Journal of Personality · doi:10.1111/j.1467-6494.2007.00485.x · Cited by 224
“Accordingly, future studies must build upon the present findings and incorporate gene-environment interaction and correlational models (Purcell, 2002) so as to delineate the mechanisms underlying stability and change in personality.”
BackgroundRauh, V., & Margolis, A. E. (2016) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12537 · Cited by 243
“Furthermore, since ADHD, like ASD, carries well-established genetic influences on susceptibility (Waldman & Gizer, 2006), it will be important to determine how lead may interact with that susceptibility (Purcell, 2002).”
BackgroundGenetic and environmental influences on behavior: Capturing all the interplay.
Johnson, W. (2007) · Psychological Review · doi:10.1037/0033-295x.114.2.423 · Cited by 218
“This is the full model of the possible ways in which HI may be associated with HP (Purcell, 2002).”
BackgroundMethodInfluentialSwain, J., Perkins, S., Dayton, C., Finegood, E. D., & Ho, S. (2012) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12000970 · Cited by 196
Tucker–Drob, E. M., Rhemtulla, M., Harden, K. P., Turkheimer, E. N., & Fask, D. (2010) · Psychological Science · doi:10.1177/0956797610392926 · Cited by 190
“In our final model, the effects of A, C, and E were allowed to vary as functions of SES (Purcell, 2002).”
Genetic and Environmental Contributions to Loneliness in Adults: The Netherlands Twin Register Study
Boomsma, D. I., Willemsen, G., Dolan, C. V., Hawkley, L. C., & Cacioppo, J. T. (2005) · Behavior Genetics · doi:10.1007/s10519-005-6040-8 · Cited by 191
“If there would be G C interaction, it would be part of the genetic variance in the twin model that was employed in this paper (Purcell, 2003), i.e. it is the genotype of the individual that determines the response to the common family environment.”
MethodPeper, J. S., Schnack, H. G., Brouwer, R. M., Van Baal, G. C. M., Pjetri, E., Székely, E., van Leeuwen, M., van den Berg, S. M., Collins, D. L., Evans, A. C., et al. (2009) · Human Brain Mapping · doi:10.1002/hbm.20660 · Cited by 177
Genetic and environmental influences on academic achievement trajectories during adolescence.
Johnson, W., McGue, M. K., & Iacono, W. G. (2006) · Developmental Psychology · doi:10.1037/0012-1649.42.3.514 · Cited by 184
Psychophysiological correlates of aggression and violence: an integrative review
Patrick, C. J. (2008) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2008.0028 · Cited by 179
Kandler, C., Bleidorn, W., Riemann, R., Angleitner, A., & Spinath, F. M. (2012) · Behavior Genetics · doi:10.1007/s10519-011-9491-0 · Cited by 178
“Consequently, the consideration of an overall picture of the interplay between personality and environments needs more complex interactionist perspectives (South and Krueger 2008) and research strategies that requires large sample sizes such as modeling genotype– environment correlation in the presence of genotype– en…”
BackgroundUnderstanding the Early Origins of the Education–Health Gradient
Conti, G., & Heckman, J. J. (2010) · Perspectives on Psychological Science · doi:10.1177/1745691610383502 · Cited by 177
“Here, we discuss a binary environment, and we refer the reader to recent work by Purcell (2002) and Rathouz, Van Hulle, Rodgers, Waldman, and Lahey (2008) for the case of continuous figure we present E Y1 Y0½ E Y1jD ¼ 1½ E Y0jD ¼ 0½ .”
Teacher Quality Moderates the Genetic Effects on Early Reading
Taylor, J., Roehrig, A., Hensler, B. S., Connor, C., & Schatschneider, C. (2010) · Science · doi:10.1126/science.1186149 · Cited by 172
Family dysfunction interacts with genes in the causation of antisocial symptoms
Button, T. M. M., Scourfield, J., Martin, N., Purcell, S., & McGuffin, P. (2005) · Behavior Genetics · doi:10.1007/s10519-004-0826-y · Cited by 171
“A model designed to test GE interaction of the latent genetic variable with a measured continuous moderator variable was used to test for gene-environment interaction (Fig. 1) ( Purcell, 2002 ).”
MethodSelf-citationMoffitt, T. E. (2005) · Advances in genetics · doi:10.1016/s0065-2660(05)55003-x · Cited by 200
“The second caveat is that the coefficient for unique environmental effects indexes not only the direct effects of unique experiences but also the effects of interactions between unique environments and genes (Purcell, 2002; Rutter and Silberg, 2002).”
BackgroundFamilial influences on basal salivary cortisol in an adult population.
Kupper, N., de Geus, E. D., van den Berg, M., Kirschbaum, C., Boomsma, D., & Willemsen, G. (2005) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2005.04.003 · Cited by 168
“Additionally, the correlations for DZ twins and siblings were not significantly different, indicating generalizability of twin study results to the general population.”
A pediatric twin study of brain morphometry.
Wallace, G. L., Schmitt, J. E., Lenroot, R., Viding, E., Ordaz, S. E., Rosenthal, M. A., Molloy, E. A., Clasen, L., Kendler, K., Neale, M., et al. (2006) · Journal of Child Psychology and Psychiatry and Allied Disciplines · doi:10.1111/j.1469-7610.2006.01676.x · Cited by 164
“Further, with the addition of individual-specific moderator variables, the standard ACE model can be expanded to account for interactions between A, C, and E with a second observed variable, such as age (Purcell, 2002).”
BackgroundSex differences in mental abilities: g masks the dimensions on which they lie
Johnson, W., & Bouchard, T. J. (2006) · Intelligence · doi:10.1016/j.intell.2006.03.012 · Cited by 167
“Correlation between genetic and shared environmental influences acts to increase estimates of shared environmental influence; correlation between genetic and nonshared environmental influences acts to increase estimates of genetic influence (Purcell, 2002).”
BackgroundParental Education Moderates Genetic Influences on Reading Disability
Friend, A., DeFries, J. C., & Olson, R. K. (2008) · Psychological Science · doi:10.1111/j.1467-9280.2008.02213.x · Cited by 165
“We also included the main effect of parental education in the DF regression test of the G E interaction to control for the influence of any gene-environment correlation on the G E interaction (Purcell, 2002).”
Etiology of Autism Spectrum Disorders and Autistic Traits Over Time
Taylor, M. J., Rosenqvist, M. A., Larsson, H., Gillberg, C., D'Onofrio, B. M., Lichtenstein, P., & Lundström, S. (2020) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2020.0680 · Cited by 224
“Such effects would be expected to inflate nonshared environmental variance components and produce changes in these components across birth cohorts.(44) However, our studydid showa small increase in themean level of and variance in autistic traits, specifically among individuals born between 2004 and 2008.”
Backgroundumx: Twin and Path-Based Structural Equation Modeling in R
Bates, T. C., Maes, H., & Neale, M. (2019) · Twin Research and Human Genetics · doi:10.1017/thg.2019.2 · Cited by 156
Changing Environmental Influences on Substance Use Across Development
Dick, D. M., Pagan, J. L., Viken, R. J., Purcell, S., Kaprio, J. A., Pulkkinen, L., & Rose, R. J. (2007) · Twin Research and Human Genetics · doi:10.1375/twin.10.2.315 · Cited by 146
“These models have subsequently been detailed and expanded [27].”
BackgroundMethodInfluentialSelf-citationFearon, R. M. P., Van IJzendoorn, M. H., Fonagy, P., Bakermans-Kranenburg, M. J., Schuengel, C., & Bokhorst, C. L. (2006) · Developmental Psychology · doi:10.1037/0012-1649.42.6.1026 · Cited by 153
“…test for background factors (e.g., gender, maternal age) that might moderate the genetic, shared environmental, and nonshared environmental effects on maternal sensitivity, we tested a set of nested structural models following methods developed by Purcell (2002) for continuous dependent variables.”
Feinberg, M. E., Button, T. M. M., Neiderhiser, J. M., Reiss, D., & Hetherington, E. M. (2007) · Archives of General Psychiatry · doi:10.1001/archpsyc.64.4.457 · Cited by 153
“A focus on standardized components, as is typical in most behavior genetic reports, can lead to misinterpretation.(42) Because this point is important and underappreciated, we digress momentarily for an illustration: Consider in a hypothetical case that there are very low levels of variance in the phenotype at one lev…”
BackgroundIs There a “Party” in Your Genes?
Hatemi, P., Alford, J. R., Hibbing, J. R., Martin, N. G., & Eaves, L. J. (2008) · Political Research Quarterly · doi:10.1177/1065912908327606 · Cited by 141
“…have provided a productive initial platform for further research in medical, behavioral, and psychiatric genetics, including the study of gene–environment interaction (e.g., Purcell 2002 ) and the search for specific environmental factors and individual genes contributing to individual differences.”
BackgroundSubjective well-being: genetic and environmental contributions to stability and change
NES, R. B., Røysamb, E., TAMBS, K., HARRIS, J. R., & REICHBORN-KJENNERUD, T. (2006) · Psychological Medicine · doi:10.1017/s0033291706007409 · Cited by 214
“These mechanisms might bias parameter estimates in standard twin models and have to be taken into account when interpreting our results, as an interaction between A and E will act like E, and correlation between A and E will act like A (Purcell, 2002).”
BackgroundDick, D. M., Viken, R. J., Kaprio, J., Pulkkinen, L., & Rose, R. J. (2005) · Journal of Abnormal Child Psychology · doi:10.1007/s10802-005-1829-8 · Cited by 206
“New twin models allow for more explicit delineation of how genetic and environmental influences act and interact (Dick, Rose, Viken, Kaprio, & Koskenvuo, 2001; Purcell, 2002 ), and on-going analyses of the Finnish Twin data in this area clearly demonstrate the importance of gene‐environment interaction effects.”
BackgroundBleidorn, W., Kandler, C., & Caspi, A. (2014) · European Journal of Personality · doi:10.1002/per.1957 · Cited by 153
“Independent of GE correlation, G ×E interaction involving nonshared environmental influences on personality differences would have the effect of making genetically related individuals less similar to each other (Purcell, 2002).”
BackgroundYoung‐Wolff, K. C., Enoch, M., & Prescott, C. A. (2011) · Clinical Psychology Review · doi:10.1016/j.cpr.2011.03.005 · Cited by 162
“the twin model is expanded by including explicit measures of the environment or additional types of relatives, variance due to GxE can be separated from the variance due to latent genetic and environmental main effects (Purcell, 2002).”
BackgroundMethodInfluentialChildhood and Adolescent Anxiety and Depression: Beyond Heritability
Franić, S., Middeldorp, C. M., Dolan, C. V., Ligthart, L., & Boomsma, D. I. (2010) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2010.05.013 · Cited by 131
Rettew, D., Rebollo-Mesa, I., Hudziak, J., Willemsen, G., & Boomsma, D. (2008) · Behavior Genetics · doi:10.1007/s10519-008-9192-5 · Cited by 152
“In the genetic models, we estimated the influence of A, D, and E on extraversion and allowed these estimates to be a function of measured moderator variables age and sex (Purcell 2002).”
BackgroundAnnual Research Review: Perspectives on progress in ADHD science – from characterization to cause
Sonuga‐Barke, E. J. S., Becker, S. P., Bölte, S., Castellanos, F. X., Franke, B., Newcorn, J. H., Nigg, J. T., Rohde, L. A., & Simonoff, E. (2023) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13696 · Cited by 157
Changes in Genetic and Environmental Influences on Disordered Eating Across Adolescence
Klump, K. L., Burt, S. A., McGue, M. K., & Iacono, W. G. (2007) · Archives of General Psychiatry · doi:10.1001/archpsyc.64.12.1409 · Cited by 136
“Gene-environment interactions are present when psychosocial risk factors have differential effects on disease outcome depending on the level of genetic risk.(23,24) Specifically, individuals with genetic predispositions are at increased risk for a disorder when environmental risk factors are present.”
BackgroundA Note on False Positives and Power in G × E Modelling of Twin Data
van der Sluis, S., Posthuma, D., & Dolan, C. (2011) · Behavior Genetics · doi:10.1007/s10519-011-9480-3 · Cited by 149
Cai, N., Choi, K. W., & Fried, E. I. (2020) · Human Molecular Genetics · doi:10.1093/hmg/ddaa115 · Cited by 160
“GXE effects detected between PRS and environmental contexts could therefore differ accordingly (78,79).”
BackgroundGenetic Epidemiology of Attention Deficit Hyperactivity Disorder (ADHD Index) in Adults
Boomsma, D. I., Saviouk, V., Hottenga, J.-J., Distel, M. A., de Moor, M. H. M., Vink, J. M., Geels, L. M., van Beek, J. H. D. A., Bartels, M., de Geus, E. J. C., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010621 · Cited by 140
“to unique environment, and thus decrease estimates of heritability [29,30].”
BackgroundThe heritability of self-control: A meta-analysis
Willems, Y. E., Boesen, N., Li, J., Finkenauer, C., & Bartels, M. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.02.012 · Cited by 190
Genetic confounding of the relationship between father absence and age at menarche
Barbaro, N., Boutwell, B. B., Barnes, J. C., & Shackelford, T. K. (2016) · Evolution and Human Behavior · doi:10.1016/j.evolhumbehav.2016.11.007 · Cited by 148
Political Science, Biometric Theory, and Twin Studies: A Methodological Introduction
Medland, S. E., & Hatemi, P. (2009) · Political Analysis · doi:10.1093/pan/mpn016 · Cited by 134
“…the sum and absolute differences of data from MZ co-twins (i.e., heteroscedasticity) (Jinks and Fulker 1970; van der Sluis et al. 2006) or by partitioning the variance components into that which is linked to variation within the environmental influence and that which is residual (see Purcell 2002).”
BackgroundSources of cumulative continuity in personality: A longitudinal multiple-rater twin study.
Kandler, C., Bleidorn, W., Riemann, R., Spinath, F. M., Thiel, W., & Angleitner, A. (2010) · Journal of Personality and Social Psychology · doi:10.1037/a0019558 · Cited by 157
Nature and nurture of the interplay between personality traits and major life goals.
Bleidorn, W., Kandler, C., Hulsheger, U. R., Riemann, R., Angleitner, A., & Spinath, F. M. (2010) · Journal of Personality and Social Psychology · doi:10.1037/a0019982 · Cited by 180
Gestational diabetes hinders language development in offspring
Dionne, G., Boivin, M., Séguin, J. R., Pérusse, D., & Tremblay, R. E. (2008) · Pediatrics · doi:10.1542/peds.2007-3028 · Cited by 136
“000 University degree 25 (24) 19 (16) 44 (20) 486 (28) 296 (34) 782 (30) Poverty, n (%) 22 (21) 29 (25) 51 (23) 378 (22) 121 (14) 499 (19) .”
Sauce, B., & Matzel, L. D. (2017) · Psychological Bulletin · doi:10.1037/bul0000131 · Cited by 184
“Or as elegantly pointed out by (Purcell, 2002), “G×E is often conceptualized as genetic control of sensitivity to different environments.”
Duncan, L. E., Pollastri, A. R., & Smoller, J. W. (2014) · American Psychologist · doi:10.1037/a0036320 · Cited by 145
“E contributes to the additive genetic (h2, narrow-sense heritability) or nonshared environmental variance component in twin models (Purcell, 2002), so it is unclear whether—on balance—”
BackgroundThe Genetics of Substance Use and Substance Use Disorders
Dick, D. M., Prescott, C. A., & McGue, M. K. (2009) · Springer eBooks · doi:10.1007/978-0-387-76727-7_29 · Cited by 131
Blonigen, D. M. (2009) · Clinical Psychology Review · doi:10.1016/j.cpr.2009.10.001 · Cited by 146
“Recent advances in behavioral genetic methodology offer a promising avenue for disentangling the etiological relations among these constructs by testing for both gene–environment interactions (G×E) and gene–environment correlations (rGE) within the same model (Purcell, 2002).”
Genetic influences on thinning of the cerebral cortex during development
van Soelen, I. L. C., Brouwer, R. M., van Baal, G. C. M., Schnack, H. G., Peper, J. S., Collins, D. L., Evans, A. C., Kahn, R. S., Boomsma, D. I., & Pol, H. E. H. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.044 · Cited by 94
“The effects of GE correlation also depend on whether E consists of unique or common environmental influences: correlation between G and C acts like C (which we did not detect); correlation between G and E acts like G (Purcell, 2002) and thus could be included in the total heritability.”
BackgroundLife events, anxious depression and personality: a prospective and genetic study
Middeldorp, C. M., Cath, D. C., Beem, A. L., Willemsen, G. A. H. M., & Boomsma, D. I. (2008) · Psychological Medicine · doi:10.1017/s0033291708002985 · Cited by 114
“A significant gene–environment interaction effect can be due to gene–environment correlation if this correlation is not included in the model (Purcell, 2002).”
BackgroundIs the Effect of Parental Education on Offspring Biased or Moderated by Genotype?
Conley, D., Domingue, B. W., Cesarini, D. A., Dawes, C. T., Rietveld, C. A., & Boardman, J. (2015) · Sociological Science · doi:10.15195/v2.a6 · Cited by 147
“…a wide range of social and behavioral scientists, despite the controversy surrounding such estimates (e.g., see Breen, Plomin, and Wardle 2006; Plomin, Owen, and McGuffin 1994, 1997; Plomin and Spinath 2004; Plomin 2009; Purcell 2002; Rodgers, Rowe, and Buster 1999; Rodgers, Buster, and Rowe 2001).”
BackgroundKlump, K., & Burt, S. (2006) · Twin Research and Human Genetics · doi:10.1375/twin.9.6.971 · Cited by 126
“…examine genetic and environmental contributions to antisocial behavior and disordered eating, (2) perform genetic association studies, and (3) examine gene–environment interplay, using both biometric models (Purcell, 2002) and measured-gene × measured-environment analyses (Moffitt et al., 2005).”
Peyrot, W. J., der Auwera, S. V., Milaneschi, Y., Dolan, C. V., Madden, P. A. F., Sullivan, P. F., Strohmaier, J., Ripke, S., Rietschel, M., Nivard, M. G., et al. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.09.009 · Cited by 132
“Purcell SM, Wray NR, Stone JL, Visscher PM, O’Donovan MC, Sullivan PF, Sklar P (2009): Common 504 polygenic variation contributes to risk of schizophrenia and bipolar disorder.”
InfluentialConley, D., Rauscher, E., Dawes, C., Magnusson, P. K. E., & Siegal, M. L. (2013) · Behavior Genetics · doi:10.1007/s10519-013-9602-1 · Cited by 102
“Likewise, non-linear interactions between alleles—such as dominance—have been modeled in attempts to get at broad-sense heritability (H2) (see Purcell 2002 for a review of these models and simulation exercises and Purcell and Sham 2002 for an empirical example).”
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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