Work

Multiple Regression Analysis of Twin Data: Etiology of Deviant Scores versus Individual Differences

Year: 1988

Type: article

Abstract: The multiple regression analysis of twin data in which a cotwin's score is predicted from a proband's score and the coefficient of relationship (the basic model) provides a statistically powerful test of genetic etiology. When an augmented model that also contains an interaction term is fitted to the same data set, direct estimates of heritability (h2) and the proportion of variance due to shared environmental influences (c2) are obtained. A simple transformation of selected twin data prior to regression analysis facilitates direct estimates of h2g (an index of the extent to which the difference between the mean of probands and that of the unselected population is heritable) and a test of the hypothesis that the etiology of deviant scores differs from that of variation within the normal range.

Source: Acta geneticae medicae et gemellologiae

DOI: 10.1017/s0001566000003810

Authors: J.C. DeFries, D.W. Fulker

Institution: University of Colorado Boulder

Language: English

Topic: Genetic Associations and Epidemiology

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: bronze

Funder: Eunice Kennedy Shriver National Institute of Child Health and Human Development

Award: G2892002579