The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
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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Cites
Methodology for Genetic Studies of Twins and Families
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Kendler, K. S., & Eaves, L. J. (1986) · American Journal of Psychiatry · doi:10.1176/ajp.143.3.279 · Cited by 549
Estrogen use, APOE, and cognitive decline: Evidence of gene–environment interaction
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Boomsma, D. I., de Geus, E. J. C., van Baal, G., & Koopmans, J. (1999) · Twin Research · doi:10.1375/136905299320565988 · Cited by 158
Interaction of marital status and genetic risk for symptoms of depression
Heath, A. C., Eaves, L. J., & Martin, N. G. (1998) · Twin Research · doi:10.1375/twin.1.3.119 · Cited by 90
Heath, A. C., Todorov, A. A., Nelson, E. C., Madden, P. A. F., Bucholz, K. K., & Martin, N. G. (2002) · Twin Research · doi:10.1375/1369052022875 · Cited by 62
Jang, K. L., Vernon, P. A., Livesley, W. J., Stein, M. B., & Wolf, H. (2001) · Addiction · doi:10.1046/j.1360-0443.2001.969130710.x · Cited by 54
Prospects for Detecting Genotype × Environment Interactions in Twins with Breast Cancer
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Eaves, L., & Erkanli, A. (2003) · Behavior Genetics · doi:10.1023/a:1023446524917
Purcell, S., & Sham, P. (2002) · Twin Research · doi:10.1375/twin.5.6.572
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Research works printed but not linked: 2
- Wichers, M., Purcell, S., Danckaerts, M., Derom, R., Vlietinck, R., & van Os, J. (2002). Obstetric complications and child pathology: Evidence for gene-birth weight interaction. Psychological Medicine (in press).
- Plomin, R., DeFries, J. C., McClearn, G., & McGuffin, P. (2001). Behavioral genetics (4th ed.). London: Worth.
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Comorbidity: a network perspective
Cramer, A. O. J., Waldorp, L. J., van der Maas, H. L. J., & Borsboom, D. (2010) · Behavioral and Brain Sciences · doi:10.1017/s0140525x09991567 · Cited by 1,575
Socioeconomic Status Modifies Heritability of IQ in Young Children
Turkheimer, E., Haley, A., Waldron, M., D'Onofrio, B., & Gottesman, I. I. (2003) · Psychological Science · doi:10.1046/j.0956-7976.2003.psci_1475.x · Cited by 1,373
Gene-environment interplay and psychopathology: multiple varieties but real effects
Rutter, M., Moffitt, T. E., & Caspi, A. (2006) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2005.01557.x · Cited by 1,058
“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).”
MethodHuman postprandial responses to food and potential for precision nutrition
Berry, S. E., Valdes, A. M., Drew, D. A., Asnicar, F., Mazidi, M., Wolf, J., Capdevila, J., Hadjigeorgiou, G., Davies, R., Al Khatib, H., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0934-0 · Cited by 932
Genome-wide association studies of brain imaging phenotypes in UK Biobank
Elliott, L. T., Sharp, K., Alfaro-Almagro, F., Shi, S., Miller, K. L., Douaud, G., Marchini, J., & Smith, S. M. (2018) · Nature · doi:10.1038/s41586-018-0571-7 · Cited by 834
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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