The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Gene–Environment Interaction: Definitions and Study Design
Open accessAbstract
Study of gene-environment interaction is important for improving accuracy and precision in the assessment of both genetic and environmental influences. This overview presents a simple definition of gene-environment interaction and suggests study designs for detecting it. Gene-environment interaction is defined as "a different effect of an environmental exposure on disease risk in persons with different genotypes," or, alternatively, "a different effect of a genotype on disease risk in persons with different environmental exposures." Under this strictly statistical definition, the presence or absence of interaction depends upon the scale of measurement (additive or multiplicative). The decision of which scale is appropriate will be governed by many factors, including the main objective of an investigation (discovery of etiology, public health prediction, etc.) and the hypothesized pathophysiologic model. Five biologically plausible models are described for the relations between genotypes and environmental exposures, in terms of their effects on disease risk. Each of these models leads to a different set of predictions about disease risk in individuals classified by presence or absence of a high-risk genotype and environmental exposure. Classification according to the exposure is relatively easy, using conventional epidemiologic methods. Classification according to the high-risk genotype is more difficult, but several alternative strategies are suggested.
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Citations
Cites
Association of apolipoprotein E allele ϵ4 with late‐onset familial and sporadic Alzheimer's disease
Saunders, A. M., Strittmatter, W. J., Schmechel, D., St. George-Hyslop, P. H., Pericak-Vance, M. A., Joo, S. H., Rosi, B. L., Gusella, J. F., Crapper-MacLachlan, D. R., Alberts, M. J., et al. (1993) · Neurology · doi:10.1212/wnl.43.8.1467 · Cited by 3,786
ROTHMAN, K. J., GREENLAND, S., & WALKER, A. M. (1980) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a113015 · Cited by 859 · cited 3×
“For example, if the disease etiology involves a multistage process (such as with the initiation and promotion stages in cancer), two factors that act at the same stage will generally fit an additive model, whereas those that act at different stages will generally fit a multiplicative model [7,8].”
BackgroundTests for interaction in epidemiologic studies: A review and a study of power
Greenland, S. (1983) · Statistics in Medicine · doi:10.1002/sim.4780020219 · Cited by 280
Synergism and interaction: are they equivalent?
Blot, W. J., & Day, N. E. (1979) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a112793 · Cited by 135
ADDITIVE, MULTIPLICATIVE, AND OTHER MODELS FOR DISEASE RISKS1
WALTER, S. D., & HOLFORD, T. R. (1978) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a112629 · Cited by 110
Interaction in epidemiologic studies
KUPPER, L. L., & HOGAN, M. D. (1978) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a112643 · Cited by 77
Cited by
Risch, N., Herrell, R., Lehner, T., Liang, K.-Y., Eaves, L., Hoh, J., Griem, A., Kovacs, M., Ott, J., & Merikangas, K. R. (2009) · JAMA · doi:10.1001/jama.2009.878 · Cited by 1,655
“Surtees et al,25 2006 4175 (1950) 60 (41-80) 33 49 18 Crosssectional No List of Threatening Eventsb Major depression (DSM-IV) Failed to replicate”
BackgroundInfluentialType 2 Diabetes, APOE Gene, and the Risk for Dementia and Related Pathologies
Peila, R., Rodriguez, B. L., & Launer, L. J. (2002) · Diabetes · doi:10.2337/diabetes.51.4.1256 · Cited by 1,207
Strategy for Investigating Interactions Between Measured Genes and Measured Environments
Moffitt, T. E., Caspi, A., & Rutter, M. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.5.473 · Cited by 784
van Os, J., Rutten, B. P., & Poulton, R. (2008) · Schizophrenia Bulletin · doi:10.1093/schbul/sbn117 · Cited by 713
Childhood Adversity, Monoamine Oxidase A Genotype, and Risk for ConductDisorder
Foley, D. L., Eaves, L. J., Wormley, B., Silberg, J. L., Maes, H. H., Kuhn, J., & Riley, B. (2004) · Archives of General Psychiatry · doi:10.1001/archpsyc.61.7.738 · Cited by 564
Metadata
- Authors
- Ottman, R.
- Venue
- Preventive Medicine
- Publisher
- Elsevier BV
- Published
- 1996-11
- Volume
- 25
- Issue
- 6
- Pages
- 764-770
- ISSN
- 0091-7435 (ISSN-L)
- OpenAlex
- W2002267074
- Cited by
- 331
- References
- 6
- FWCI
- 1.80
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.