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A simple method of model fitting for adoption data

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Abstract

Traditional models used with adoption data often make strong assumptions concerning the nature of genetic transmission and assortative mating. A simple model is presented which avoids these assumptions. The model is linearized and, thus, has the further advantage that it can be used with standard statistical packages such as LISREL or EQS. The model allows tests of the internal consistency of the data, in addition to tests of the relative strength of genetic and environmental transmission parameters. To illustrate the model, measures of general cognitive ability in parents and their 7-year-old children from the Colordo Adoption Project (CAP) were fit to the model using the LISREL program. This relatively simple model may be expanded to incorporate more complex designs involving multiple measures or siblings. Although the model will not always allow constraints on the parameter estimates in more complex models, it offers a quick, flexible method for initial exploration of adoption data.

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This research was supported in part by Grants HD-10333 and HD-18426 from the National Institute of Child Health and Human Development (NICHD) and by Grant MH-43899 from the National Institute of Mental Health. The paper was written while Hilary Coon was under the support of training grant HD-07289 from NICHD. Preparation of the paper was facilitated by Grant RR-07013-20 awarded to the University of Colorado by the Biomedical Research Grant Program, Division of Research Resources, National Institutes of Health.

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Coon, H., Carey, G. & Fulker, D.W. A simple method of model fitting for adoption data. Behav Genet 20, 385–404 (1990). https://doi.org/10.1007/BF01065565

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