Analytic approaches to twin data using structural equation models

By F. Rijsdijk, Pak Chung Sham. Briefings Bioinform., 2002

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Heritability of autism spectrum disorders: a meta‐analysis of twin studies (2015, background): “The differences in MZ and DZ correlations provide information on the relative importance of genetic and environmental variance as specified in a standard biometrical genetics model (Neale & Cardon, 1992; Plomin et al., 2013; Rijsdijk & Sham, 2002).”
Variation in the human immune system is largely driven by non-heritable influences (2015, methodology): “Structural Equation Modeling to Estimate Heritable and Non-Heritable Influences For all of the measurements made, a structural equation modeling approach was used to estimate heritability (Rijsdijk and Sham, 2002).”
Variability in the Heritability of Body Mass Index: A Systematic Review and Meta-Regression (2012, methodology): “…the three remaining variance components (A, C, and E), determined by sequentially removing components from www.frontiersin.org February 2012 | Volume 3 | Article 29 | 1 the model and testing for deterioration in fit in structural equation modeling (Rijsdijk and Sham, 2002; Figure A1 in Appendix).”
Creative personality, opportunity recognition and the tendency to start businesses: A study of their genetic predispositions (2015, background): “If they are, then genetic factors account for part of the correlation between creative personality and the tendency to recognize opportunities and start businesses (Kuntsi et al., 2004; Rijsdijk and Sham, 2002).”