gene-environment interaction

(redirected from GxE interaction)

gene-environment interaction

A term used to indicate that an effect is due to a mixture of environmental factors (nurture) and genetic factors (nature). Most traits show gene-environment interactions, such as myopia, IQ test results, skin colour etc. Blood type and iris colour are predominantly genetically transmitted, whereas language is predominantly environmental. See biological-statistical theory; nativist theory.
References in periodicals archive ?
The GxE interaction model appears to be consistent with the theory that expression of plasticity genes is modified by childhood experiences and environment, such as physical or sexual abuse.
A possible strategy is the use of the GxE interaction, which could probably increase the technological, culinary and nutritional quality values of the new genotype and also meet farmers' specific demands.
The magnitude of the GxE interaction sum square was three times larger than the genotype sum square.
The females and males x females partitions of GxE interaction were not significant, suggesting that meaningful comparisons between the MSC hybrid and the SC hybrid counterparts can be made across environments.
192) A statistical GxE interaction has been consistently found in all major adoption studies of criminal convictions, such that the genetic predispositions, indicated by biological-parent antisocial behavior, present the greatest risk to the adopted offspring in the presence of adverse environmental conditions, indicated by adoptive-parent antisocial behavior.
Specific family study approaches, such as research using children of twins, may help clarify these relationships and the extent of GxE interaction effects.
0 version) for the interpretation GxE interaction and for the graphical representation of MET data, GGE biplot analysis was executed using R software (version 3.
Also, the presented macro program in SAS (2008) is calculated the statistical tests for genotype, environment GxE interaction and given stability parameters based on rank of data and simplified the use of nonparametrical methods in plant breeding.
Likewise, significant differences were also obtained for genotypes, environments and GxE interaction from Eberhart and Russel (1966) pooled analysis of variance model that indicated the existence of diversity among the evaluated plant materials and in the environments where experiments were carried out (Table 3).