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Twin Concordance for a Binary Trait. I. Statistical Models Illustrated With Data on Drinking Status

Published online by Cambridge University Press:  01 August 2014

Murray C. Hannah ,
John L. Hopper  and
John D. Mathews
Murray C. Hannah
Affiliation:
Department of Medicine, University of Melbourne, Royal Melbourne Hospital, Victoria, Australia
John L. Hopper
Affiliation:
Department of Medicine, University of Melbourne, Royal Melbourne Hospital, Victoria, Australia
John D. Mathews*
Affiliation:
Department of Medicine, University of Melbourne, Royal Melbourne Hospital, Victoria, Australia
*
University of Melbourne, Department of Medicine, Royal Melbourne Hospital, Victoria 3050, Australia

Abstract

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A flexible method based on maximum likelihood theory is introduced for the analysis of binary response data in twins. The method allows for explanatory variables such as age and sex, is free of the untestable distributional assumption of bivariate normality of liability, and makes more efficient use of the data available. The method is illustrated with preliminary data on drinking status in adult twins. Although there is some bias in the ascertainment of male dizygous twins, the results suggest that monozygous twins are more concordant than dizygous twins for drinking status.

Keywords

Twin concordanceBinary traitCorrelation coefficientProband concordance rateAge adjustmentLogistic regressionTransformation of scaleLikelihoodAlcohol
Type
Research Article
Information
Acta geneticae medicae et gemellologiae: twin research , Volume 32 , Issue 2 , April 1983 , pp. 127 - 137
Copyright
Copyright © The International Society for Twin Studies 1983

References

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