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Psicothema was founded in Asturias (northern Spain) in 1989, and is published jointly by the Psychology Faculty of the University of Oviedo and the Psychological Association of the Principality of Asturias (Colegio Oficial de Psicólogos del Principado de Asturias).
We currently publish four issues per year, which accounts for some 100 articles annually. We admit work from both the basic and applied research fields, and from all areas of Psychology, all manuscripts being anonymously reviewed prior to publication.

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Psicothema, 2007. Vol. Vol. 19 (nº 1). 156-162




IQ heritability estimation: Analyzing genetically-informative datawith structural equation models

David Gallardo Pujol, Carlos García-Forero, Uwe Kramp, Albert Maydeu-Olivares and Antonio Andrés-Pueyo

University of Barcelona

When analyzing genetic data, Structural Equations Modeling (SEM) provides a straightforward methodology to decompose phenotypic variance using a model-based approach. Furthermore, several models can be easily implemented, tested, and compared using SEM, allowing the researcher to obtain valuable information about the sources of variability. This methodology is briefly described and applied to re-analyze a Spanish set of IQ data using the biometric ACE model. In summary, we report heritability estimates that are consistent with those of previous studies and support substantial genetic contribution to phenotypic IQ; around 40% of the variance can be attributable to it. With regard to the environmental contribution, shared environment accounts for 50% of the variance, and non-shared environment accounts for the remaining10%. These results are discussed in the text.

Estimación de la heredabilidad del CI: analizando datos genéticamente informativos con Modelos de Ecuaciones Estructurales. Cuando se analizan datos genéticos, los Modelos de Ecuaciones Estructurales (SEM) proporcionan una metodología sencilla y directa para descomponer la varianza fenotípica utilizando una aproximación basada en diferentes modelos. Además, se pueden implementar, probar y comparar diversos modelos fácilmente utilizando SEM, permitiendo al investigador obtener información muy valiosa acerca de las fuentes de variabilidad. En este trabajo, se describe brevemente esta metodología y se reanalizan unos datos de CI españoles utilizando el modelo biométrico ACE. En resumen, aportamos estimaciones de la heredabilidad que son consistentes con las de estudios anteriores y que dan soporte a una contribución genética sustancial al CI fenotípico, alrededor del 40% de la varianza puede ser atribuida a la genética. Respecto a la contribución ambiental, el ambiente compartido da cuenta de un 50% de la varianza, y el ambiente no compartido explica el remanente 10%. Los resultados se discuten en el texto.

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