Variance components models for gene-environment interaction in twin analysis.
By Shaun Purcell. Twin research : the official journal of the International Society for Twin Studies, 2002
961 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/af25e793a506b0935227cbc611919de46ca3a25d
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Citations in the corpus
- Sex differences in mental abilities: g masks the dimensions on which they lie (2007, background): “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).”
- The genetic basis of entrepreneurship: Effects of gender and personality (2009, background): “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).”
- Gene-environment interplay and psychopathology: multiple varieties but real effects. (2006, methodology): “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).”
- The evolutionary genetics of personality (2007, background): “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).”
- The Behavioural Genetics of Personality Development in Adulthood—Classic, Contemporary, and Future Trends (2014, background): “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).”
- The Genetics of Investment Biases (2014, methodology): “presentation of the gene–environment interaction model proposed by Purcell (2002). M symbolizes the moderator and y the Investment bias”